Claude Skill

fallow-review

Review AI-generated or human-written code changes with fallow's graph-grounded review brief. Subtracts deterministic concerns (unused code, complexity, duplication, styling) from the loop, ranks what to look at by blast radius and risk, and surfaces the few consequential structur

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Install

skills CLI npx skills add https://github.com/fallow-rs/fallow-skills/tree/main/fallow/skills/fallow-review
Claude Code claude plugin marketplace add https://llmmart.ai/marketplace.json && claude plugin install fallow-rs-fallow-skills@llmmart
Git git clone https://github.com/fallow-rs/fallow-skills.git

The skills CLI installs just this skill, for any of its supported agents. Claude Code installs the whole fallow-rs/fallow-skills collection as a plugin from our marketplace. Git is the plain clone.

Skill manifest

Fallow Review: graph-grounded code review

fallow review turns a changeset into a deterministic, graph-derived review brief and an agent-contract loop. It answers "where do I look, and what calls actually need human taste?" rather than "will CI block this?" (that is fallow audit, which gates). review always exits 0, so it is safe to run regardless of verdict.

The four jobs it does, in order:

  • subtract: dead code, complexity, duplication, and styling for the changed files are reported and kept OUT of the judgment loop, so attention is not spent on what a deterministic check already owns.
  • focus: changed-file units are ranked by a composite attention score (fan-in/out, risk zone, change shape) with a review-here / not-prioritized label and a full deprioritized escape-hatch list, so nothing is hidden.
  • structure: the decision surface lifts the handful of consequential STRUCTURAL decisions out of the diff and frames each as a judgment question, capped to a working-memory-sized set, each anchored to a signal_id fallow emitted.
  • direct: the walkthrough guide hands an agent a graph-derived digest, the review direction, a graph-snapshot pin, and the exact judgment schema to return.

When to use

  • Reviewing a PR, branch, or diff (AI-generated or human-written) before merge.
  • After an agent has done work and removed the fallow findings it could; this surfaces what is left for human/agent taste.
  • Producing inline-reviewable judgments that can flow back to the agent that wrote the code.

When NOT to use

  • Gating CI on a pass/fail verdict: use fallow audit (it exits non-zero on a fail verdict).
  • Whole-project health, cleanup, or dead-code reports: use the fallow skill.

Quick human brief

# Auto-detect the base (merge-base against the upstream / remote default):
fallow review

# Pin the base, or scope to a precise diff:
fallow review --base origin/main
git diff --find-renames origin/main...HEAD | fallow review --base origin/main --diff-stdin

The human brief prints the orientation facts, the focus map, and the decision surface ("Decisions to make"). --format json emits the full structured envelope (decisions, focus, deltas, impact_closure, partition, graph_facts). --max-decisions N tunes the cap (clamped to a small band). --show-deprioritized expands what the focus map collapsed.

The decision surface

Each decision is a framed question anchored to a signal_id fallow deterministically derived from the graph (a delta key or a coordination-gap key). There are exactly three shippable categories:

  • coupling-boundary: a new cross-zone dependency edge.
  • public-api-contract: a new exported public-API surface, or a changed contract consumed by modules OUTSIDE this diff (a coordinate-or-confirm signal).
  • dependency: a changed package.json that adds third-party entries or moves a declared entry across a major version (or a 0.x minor). One batched decision per manifest per kind, weighted by the graph's in-repo importers of the affected packages: blast is the importer count, internal_consumer_count the importers outside the diff. Both counts are a union over the batched packages. An entry outside dependencies shows a (dev), (optional), or (peer) tag in the question. digest.deltas carries the keys as dependency_added (<manifest>::<name>) and dependency_major_bumped (<manifest>::<name>@<from>-><to>); both lists are always present, possibly empty. Minor and patch bumps and non-numeric ranges (workspace, file, git, tags) are never candidates. A dependency decision has no suppress action: it anchors on package.json, which cannot carry a comment, so never paste a // fallow-ignore line into a manifest. The decision_surface MCP tool surfaces the same dependency decisions as the CLI. Framing rule: cite the changelog question ("which documented change in <from> to <to> reaches these N importers?"); do not guess the behavior change.

A decision may carry previous_signal_id when its anchor file was renamed in the change: that is the signal_id the same decision would have had at the old path, so a review surface can re-attach a prior reviewer comment across a git mv.

Eliciting the broader trade-offs (taste ownership)

The decision surface above is the DETERMINISTIC slice: only the trade-offs fallow can prove from the graph (the three categories). Real architectural trade-offs are broader (abstraction level, error-handling strategy, data-model shape, eager-vs-lazy, state ownership, extensibility-vs-YAGNI, testability, trust boundaries), and none of those are graph-detectable. Surfacing them needs a model reading the diff, not a static pass.

Run the trade-off elicitation prompt in references/tradeoff-elicitation.md over the diff plus the guide. It applies TASTE OWNERSHIP: the model makes each choice legible and frames a genuinely open question; the human decides. The prompt carries the honesty contract (diff anchoring, the observed / tradeoff / question split, deterministic: false fencing, provenance, the top-five cap with honest abstention, no duplication of the deterministic surface, options that never pick). fallow owns what it can prove, the prompt covers the rest, and the fencing keeps the two from being confused.

Running it as a review step

When a review surface (the fallow review app, or you in the terminal) wants the trade-off surface alongside the deterministic decisions:

  1. Fetch the guide and read the diff:
    fallow review --base <ref> --walkthrough-guide --format json > guide.json
    git diff <ref>...HEAD            # or: git diff --cached  for staged work
    
  2. Run the references/tradeoff-elicitation.md prompt over the diff plus guide.json.
  3. Emit the envelope (the { graph_snapshot_hash, abstained, tradeoffs[] } shape) to .fallow-review/tradeoffs.json in the repo root, the sibling of .fallow-review/feed.jsonl, so a review surface can render it.

This step is deliberately NOT part of the post-validate agent-contract loop below. The trade-off envelope is never round-tripped through fallow review --walkthrough-file (which only validates emitted signal_ids), so it carries NO fallow-grade guarantee: every item stays deterministic: false, agent-self-checked against the diff, not graph-validated. Do not present it as fallow-validated.

The agent-contract loop

The loop lets an agent produce judgments that fallow post-validates against the live graph. The verifier is the graph, not a second model.

  1. Fetch the guide:

    fallow review --base origin/main --walkthrough-guide --format json > guide.json
    

    The guide contains: digest (the brief + decision surface), direction (where to look), graph_snapshot_hash (the staleness pin), agent_schema (the exact shape to return), and injection_note. The digest is built from the graph ONLY; PR prose is never folded in, so the guide is injection-resistant by construction.

  2. Read the decisions in digest. Each carries a signal_id, a category, the framed question, and an anchor_file / anchor_line.

  3. Return a judgment matching agent_schema:

    {
      "graph_snapshot_hash": "<echo the value from the guide>",
      "judgments": [
        {
          "signal_id": "<one signal_id fallow emitted>",
          "framing": "<your reasoning for the human reviewer>",
          "action": "<block | address | consider | fyi>",
          "concern": "<optional: one lens from agent_schema.concern_vocabulary>"
        }
      ]
    }
    

    Every signal_id MUST be one fallow emitted in the guide (emitted_signal_ids). An unanchored id is rejected. Echo the graph_snapshot_hash verbatim.

    action tells the author what the judgment asks of them: block and address are required actions, consider is optional, fyi needs nothing. concern names the lens; prefer the guide's agent_schema.concern_vocabulary, thirteen kebab-case lenses: abstraction, coupling, data-model, error-handling, control-flow, performance, dependencies, api-ergonomics, compatibility, state-ownership, extensibility, testability, trust-boundary. The guide publishes both lists as agent_schema.action_vocabulary and agent_schema.concern_vocabulary; read them from the guide rather than from this file. action_vocabulary is enforced; concern_vocabulary is advisory, any string is accepted.

  4. Post-validate:

    fallow review --base origin/main --walkthrough-file judgment.json --format json
    

    The response sorts each judgment into:

    • accepted: the signal_id was emitted and the snapshot matches; the agent's framing is fenced as non-deterministic (deterministic: false) and never gates. The action is echoed next to agent_framing, fenced the same way: it is an instruction to the author, never a fallow fact.
    • rejected with reason: "unanchored-signal-id": the signal_id was never emitted (a hallucination). Drop or correct it.
    • rejected with reason: "invalid-action" and invalid_value (the label fallow refused): the action is outside the vocabulary. This is reported only after the anchor resolved; a hallucinated anchor plus a bad label rejects as unanchored-signal-id / unknown-change-anchor instead. Fix the anchor first, then the label.
    • rejected with reason: "stale-snapshot" and stale: true: the tree moved since the guide was fetched. Re-fetch the guide and redo the judgments.

Compose the review

Validation is not the review. Once the judgments are accepted, render them for a human in this fixed order, so the reader lands on what changes the outcome first and the deterministic remainder last:

  1. Accepted decision judgments, in direction.order. Each one carries the digest question and tradeoff verbatim, then your framing, then the number that gives it weight: internal_consumer_count, the out_of_diff paths, or the unit's scoring_budget.
  2. Trade-offs from the elicitation step, ranked by consequence, at most five. When the envelope is abstained: true, print one line saying so; do not fill the slot.
  3. Subtract as ONE line with the counts from the brief: "handled deterministically: N dead-code, N duplication, N complexity, N styling; not in the discussion". Never re-derive any of these from the diff; the brief already owns them.
  4. Deprioritized as one line with the count and --show-deprioritized as the escape hatch, so nothing is hidden and nothing is padded.
  5. A review with zero decisions and an abstained trade-off envelope is a complete review: "nothing consequential; deterministic findings: N". It is not a failure and never a reason to invent items.

Two graph facts feed the composition without adding items:

  • Each direction unit carries test_adjacency: none (no test file imports this unit), untouched (a test importer exists but is not in the diff), or changed (a test importer is in the diff). It is absent for test files and when the graph was not retained. For a review-here unit with none, ask the author for the verification story in the framing. Never claim coverage; the value says whether a test imports the unit, not whether it exercises the change.
  • digest.partition.independent_slices lists the connected components of the inter-unit dependency graph, each a sorted list of module directories. It is present only when there are two or more slices; absent means the change is one connected piece. When digest.triage.risk_class is high and the field is present, name them as an orientation fact: "this change splits into K independent slices along a graph-proven seam". It is never a demand to split; the author owns that call.

Two rules govern the prose. Leverage first: one structural decision plus ten small notes means the decision IS the review; the notes ride below it or not at all. Numbers, not adjectives: every framing cites at least one number or path from the guide (a consumer count, an out-of-diff path, a scoring_budget). "Could be slow" is not a finding; "imported by 14 modules, 9 outside this diff" is.

Human-in-the-loop walkthrough (terminal, no app)

The agent-contract loop above carries the AGENT's framing. The SAME loop carries a HUMAN's verdict with the identical graph-validated, anti-hallucination guarantee, so a terminal reviewer with no review app can leave notes that fallow anchors and round-trips. This is the no-app path the review app's .fallow-review/feed.jsonl otherwise owns: the contract is the existing --walkthrough-guide / --walkthrough-file round-trip, not a new surface.

The human owns the taste; you only carry the note. fallow validates the ANCHOR (the signal or changed region exists), never the note's correctness; every carried note stays deterministic: false and never gates.

  1. Render the tour and read the anchors:

    fallow review --base origin/main --walkthrough                       # the staged human tour
    fallow review --base origin/main --walkthrough-guide --format json > guide.json
    

    guide.json carries the decision signal_ids (the framed structural questions), a per-changed-region change_anchors set (each { "change_anchor": "chg:<hex>", "file", "start_line", "line_count" }), and the graph_snapshot_hash staleness pin. Surface the tour to the human and collect, per item they choose to flag, a short verdict/note plus the action they want from the author. Offer only the four labels (block, address, consider, fyi); an unknown label is refused with invalid-action.

  2. Carry each human note as a judgment (echo the hash verbatim; cite a signal_id fallow emitted for a flagged decision, or a change_anchor for any other changed region the human notes; carry the human's action as action):

    {
      "graph_snapshot_hash": "<echo from guide.json>",
      "judgments": [
        { "signal_id": "<an emitted decision signal>", "framing": "<the human's verdict/note>", "action": "address", "concern": "<optional>" },
        { "change_anchor": "<an emitted chg: id>", "framing": "<the human's note on this region>", "action": "consider", "concern": "<optional>" }
      ]
    }
    
  3. Validate the capture:

    fallow review --base origin/main --walkthrough-file judgment.json --format json
    

    The response sorts as in the agent-contract loop, with two additions: accepted carries anchor_kind ("signal" or "change"), and a change_anchor fallow never emitted rejects as unknown-change-anchor. Re-anchor to a real signal or region; do not invent one.

  4. Act: relay the accepted human verdicts into the coding session in place, or append them to .fallow-review/feed.jsonl so the live-injection hooks (below) carry them to the session that wrote the code. Feed lines may carry action too, so the receiving agent can triage: block and address are required, consider is optional, fyi needs no change. Either way the note arrives anchored and fenced, never as a fallow-grade fact.

The guarantee matches the review app's: the human cannot anchor a note to a signal or region fallow did not emit, and a note left against a moved tree is refused rather than silently mis-mapped. The terminal is a first-class capture surface, no app required.

Live feedback into your coding session (Claude Code only)

This optional integration applies only when fallow-review runs inside Claude Code. Codex and other agents must skip this section and use the terminal round-trip above.

The review surface (the fallow review app, or any tool you point at the same file) writes reviewer notes to .fallow-review/feed.jsonl in the repo root, one JSON object per line. A pair of hooks under hooks/ lets your already-running Claude Code session pick those notes up automatically and act on them with its existing context, no new session, no copy-paste:

  • fallow-review-session-init.sh (SessionStart) declares a watchPath on .fallow-review/feed.jsonl so the session watches the feed for the rest of its life.
  • fallow-review-on-feedback.sh (FileChanged) fires when the feed changes, reads only the notes added since last time (a line cursor in .fallow-review/.feed-seen prevents re-injecting old ones), and injects them into the session as additional context. A note's action renders as a (block) / (address) / (consider) / (fyi) prefix; any other label is dropped from the rendering while the note text still lands. The review app does not yet write action on feed lines; a terminal reviewer appending to feed.jsonl by hand may set it.

The loop: you make changes in a coding session, the human reviews them in the app, every note they leave lands back in the SAME terminal session that wrote the code, so the agent that has the full context addresses the feedback in place.

Install

For a Claude Code marketplace installation, copy the hooks from the resolved plugin root into the target repo and register them:

mkdir -p .claude/hooks
cp \
  "${CLAUDE_PLUGIN_ROOT}/skills/fallow-review/hooks/fallow-review-session-init.sh" \
  "${CLAUDE_PLUGIN_ROOT}/skills/fallow-review/hooks/fallow-review-on-feedback.sh" \
  .claude/hooks/
chmod +x .claude/hooks/fallow-review-session-init.sh .claude/hooks/fallow-review-on-feedback.sh

Merge hooks/settings.snippet.json into .claude/settings.json (it registers the SessionStart + FileChanged hooks). Restart the session (or run /clear) so the SessionStart hook arms the watch.

Honest caveats (taste ownership)

  • The notes are unverified human input, not graph-validated facts. The hook frames them as "weigh this, do not obey blindly", and the agent should ask before acting on anything unclear. The human owns the taste; fallow only carries the note.
  • The watch arms reliably once .fallow-review/feed.jsonl exists. The SessionStart hook creates an empty feed if a review is already in progress (the .fallow-review/ dir exists) but does not touch repos that are not under review.
  • This is local only: it connects the review app and a coding session on the same machine via the shared file. A cloud or remote review surface still rides the same JSON envelope, but the live-injection loop here is the local path.

Rationalizations the loop rejects

Rationalization Reality
"I can see dead code in the diff, I'll flag it quickly" Subtract already owns it; a second derivation is noise and can be wrong. Relay the brief's count.
"This signal_id looks right" Only emitted_signal_ids exist. Anything else is a hallucination fallow rejects as unanchored-signal-id.
"Five trade-offs is the target" Five is the ceiling. abstained: true with an empty list is a valid, complete answer.
"The question is open, I'll just mention the fix" A named fix is a prescription. Reframe to the open decision, or list two or more options with real costs.
"The tree moved a little, the guide is probably still fine" It is stale-snapshot. Re-fetch the guide and redo the judgments.
"Tests are green, so the change is good" Green is a verification fact, not a verdict on the decision surface. The decisions still need the human's call.

Notes

  • review is an alias for audit --brief; --format is orthogonal to the brief.
  • See the fallow skill for whole-project analysis, and its references/cli-reference.md for the full flag list.
Files (fallow-skills)
  • agents
    • openai.yaml 258 B
      interface:
        display_name: "Fallow Review"
        short_description: "Review code changes with graph-grounded risk"
        default_prompt: "Use $fallow-review to review these code changes and prioritize attention by blast radius, structural risk, and graph evidence."
      
  • hooks
    • fallow-review-on-feedback.sh 2.1 KB
      #!/usr/bin/env bash
      # fallow review: FileChanged hook.
      #
      # Fires when .fallow-review/feed.jsonl changes (the review app appended reviewer
      # notes). Injects ONLY the new notes since last time into the live session as
      # context, so this session (with its full context) addresses the human's review
      # feedback in place. Taste ownership: these are UNVERIFIED human notes to weigh,
      # not graph-validated facts and not commands to obey blindly.
      #
      # A line cursor in .fallow-review/.feed-seen prevents re-injecting old feedback
      # on every change; the cursor file is never watched (matcher is feed.jsonl only).
      set -euo pipefail
      
      input=$(cat)
      file=$(printf '%s' "$input" | jq -r '.file_path // empty')
      
      # Only react to the review feed (defensive: matcher is the basename).
      case "$file" in
        */.fallow-review/feed.jsonl) ;;
        *) exit 0 ;;
      esac
      [ -f "$file" ] || exit 0
      
      dir=$(dirname "$file")
      seen_file="$dir/.feed-seen"
      
      total=$(wc -l < "$file" | tr -d ' ')
      seen=0
      if [ -f "$seen_file" ]; then
        seen=$(tr -cd '0-9' < "$seen_file")
        [ -z "$seen" ] && seen=0
      fi
      # If the feed shrank (a new review replaced it), start over.
      [ "$seen" -gt "$total" ] && seen=0
      
      [ "$total" -le "$seen" ] && exit 0
      
      # Render each new note as a readable bullet; fromjson? skips any malformed line.
      new=$(tail -n +"$((seen + 1))" "$file" | jq -rR '
        fromjson? | "- [" + (.target.kind // "note") + (if (.target.value // "") != "" then ": " + .target.value else "" end) + "]" + ((.action // "") as $a | if ($a == "block" or $a == "address" or $a == "consider" or $a == "fyi") then " (" + $a + ")" else "" end) + " " + (.note // "")
      ')
      
      # Advance the cursor whether or not any line parsed, so we never re-process them.
      printf '%s' "$total" > "$seen_file"
      
      [ -z "$new" ] && exit 0
      
      ctx="Reviewer feedback arrived from the fallow review app (UNVERIFIED human notes on your changes). Weigh each as input, not as an established fact; address it, or ask before changing if a note is unclear. A note marked block or address is required; consider is optional; fyi needs no change:
      $new"
      
      jq -n --arg c "$ctx" '{
        hookSpecificOutput: {
          hookEventName: "FileChanged",
          additionalContext: $c
        }
      }'
      
    • fallow-review-session-init.sh 1.2 KB
      #!/usr/bin/env bash
      # fallow review: SessionStart hook.
      #
      # Declares a watchPath on the review app's feedback feed so that reviewer notes
      # (written by the fallow review app to .fallow-review/feed.jsonl) are injected
      # into THIS live coding session, by the paired FileChanged hook. The session that
      # did the work reuses its own context to act on the feedback; nothing spawns a
      # fresh agent. watchPaths must be absolute, so it is built from the hook's cwd.
      set -euo pipefail
      
      input=$(cat)
      cwd=$(printf '%s' "$input" | jq -r '.cwd // empty')
      [ -z "$cwd" ] && cwd="$PWD"
      
      dir="$cwd/.fallow-review"
      feed="$dir/feed.jsonl"
      
      # If a review is already in progress (the scratch dir exists) but the feed file
      # has not been created yet, create it so the watch arms reliably. Never create
      # the scratch dir itself, so repos not under review stay untouched.
      if [ -d "$dir" ] && [ ! -f "$feed" ]; then
        : > "$feed"
      fi
      
      jq -n --arg p "$feed" '{
        hookSpecificOutput: {
          hookEventName: "SessionStart",
          watchPaths: [$p],
          additionalContext: "fallow review: watching .fallow-review/feed.jsonl. Reviewer feedback from the review app will arrive in this session as it is written."
        }
      }'
      
    • settings.snippet.json 534 B
      {
        "hooks": {
          "SessionStart": [
            {
              "matcher": "startup|resume|clear",
              "hooks": [
                {
                  "type": "command",
                  "command": "${CLAUDE_PROJECT_DIR}/.claude/hooks/fallow-review-session-init.sh"
                }
              ]
            }
          ],
          "FileChanged": [
            {
              "matcher": "feed.jsonl",
              "hooks": [
                {
                  "type": "command",
                  "command": "${CLAUDE_PROJECT_DIR}/.claude/hooks/fallow-review-on-feedback.sh"
                }
              ]
            }
          ]
        }
      }
      
  • references
    • tradeoff-elicitation.md 12.2 KB
      # Trade-off elicitation (taste-ownership review)
      
      `fallow review`'s decision surface is the DETERMINISTIC slice: it surfaces only the
      trade-offs fallow can prove from the module graph, a changed public-API contract
      consumed outside the diff, a new boundary or coupling crossing, a new dependency.
      Real architectural trade-offs are broader: abstraction level, error-handling
      strategy, data-model shape, eager-vs-lazy, state ownership, extensibility-vs-YAGNI,
      testability, trust boundaries. None of those are deterministically detectable from
      the graph, so they need a model reading the diff.
      
      This prompt elicits that broader set. The governing principle is TASTE OWNERSHIP:
      the model makes each choice legible to the human and frames the open question; the
      human decides. The model never prescribes the answer, never blocks, never
      auto-applies.
      
      A scope note on honesty: fallow validates only the ANCHOR (a `signal_id` or a
      `change_anchor` from the guide, see the human-in-the-loop section of SKILL.md).
      The prose framing below (the `observed` / `tradeoff` / `question` discipline) is
      enforced by the model checking its own output, not by fallow.
      
      ## The honesty contract (non-negotiable)
      
      1. **Anchor to the diff.** Every item's `anchor` must be a line PRESENT in the
         provided diff: the changed line that is the LOCUS of the trade-off. If no changed
         line is the locus, drop it, with ONE exception: the cross-cutting slot in rule 7.
         The `tradeoff` and `question` text MAY name out-of-diff code as the affected
         party, an in-diff change whose consequence reaches an untouched file is exactly
         the kind of trade-off worth surfacing (anchor to the changed line, name the
         untouched file in the prose). What you may NOT do is anchor an item to a line
         that is not in the diff.
      2. **Three layers, kept separate and neutral, per item:**
         - `observed` (FACT): what the change does, readable straight from the diff. State
           it neutrally. Do NOT use contrastive framing that implies a verdict ("returns
           the raw error INSTEAD OF mapping it" already judges; write "returns the raw
           error to the caller").
         - `tradeoff` (INFERENCE): what it gains and what it costs. Your reading, not
           ground truth. Name both sides; do not let the cost outweigh the gain
           rhetorically.
         - `question` (DECISION): the call the human owns. It must be GENUINELY OPEN. Ask
           an open "how / what / under what conditions" question, never "you should...",
           and never the leading form "..., or should you X?" (the "or should X" clause
           smuggles your preferred answer into the question). If the only question you can
           write names a specific fix, you are prescribing; reframe to the open decision
           instead. Example of the trap: "..., or should this map to a domain error?" is a
           prescription. The open form is "How should this surface a storage failure to
           its callers?"
      3. **Fence everything.** Mark every item `deterministic: false`. These are model
         inferences. They never gate and never auto-post.
      4. **Provenance, honestly.** Set `captured: true` ONLY if you are the same agent
         that wrote this code in this session and the rationale is what you actually had
         at write time. If you are reconstructing intent from a diff whose authorship you
         do not own, `captured` is `false`, always. `captured` is a provenance hint, not a
         trust score; do not raise it to look more authoritative. When in doubt, `false`.
         The "why" is usually not in the diff; do not pretend it is.
      5. **Abstain freely.** A short, high-signal surface beats a checklist. Keep at most
         the top FIVE trade-offs ranked by `consequence` (impact if the call is wrong),
         then by `confidence`; the rest do not exist. If nothing rises to a real decision,
         return `abstained: true` with an empty `tradeoffs: []` (do not invent items to
         fill the slots).
      6. **Do not duplicate fallow.** Read `digest.decisions.decisions[]` from the guide
         first; if fallow already framed it (public-API contract, boundary crossing, new
         dependency), do not re-raise it. You add the part fallow cannot see.
      7. **One cross-cutting slot.** Use this ONLY when NO single changed line is the
         locus, when the trade-off emerges from the COMBINATION of several changes, or
         from something the diff does NOT do, so there is genuinely nothing to anchor to.
         If a changed line IS the cause and an untouched invariant is the consequence,
         that is NOT this slot: anchor to the changed line (rule 1) and name the
         interaction in `tradeoff`. For the truly anchorless case you MAY emit at most ONE
         item with `anchor: "cross-cutting"`, `confidence: "low"`, naming the spanned
         files/invariants in `observed`. If in doubt, anchor locally; this slot is rare.
      8. **Options make the choice space legible; they never pick.** "This is complex"
         leaves the author guessing, so an item MAY carry an `options` array naming the
         moves available. When present it holds at least TWO entries, each with a real
         `gains` and a real `costs`, in no ranked order, with no "recommended" marker
         and no adjective that tips the scale. "Keep as is" is a REQUIRED entry whenever
         `options` is present, with its own real gain and cost; it is the guard that
         keeps the named-moves list from turning into a refactor backlog. If you can
         only formulate one option besides it, omit `options` entirely: a single move
         is a prescription wearing a list.
      
      ## Named moves
      
      Use this vocabulary for `move` so two runs describe the same restructuring the
      same way. It is a vocabulary, not a checklist; "keep as is" is always a legitimate
      option and often the one with the lowest cost.
      
      - Replace a conditional chain with a typed model or a dispatcher.
      - Collapse duplicate branches into one flow.
      - Separate orchestration from business logic.
      - Move feature-specific logic to the module that owns the concept.
      - Reuse the canonical helper instead of a near-duplicate.
      - Make a type boundary explicit so downstream branching disappears.
      - Delete a pass-through wrapper that adds indirection without clarifying the API.
      - Extract a helper, or split a large file into focused modules.
      - Keep as is.
      
      ## Inputs to gather
      
      ```bash
      # fallow's deterministic grounding: decisions already framed, the snapshot pin,
      # structural facts, and where fallow says attention belongs.
      fallow review --base <ref> --walkthrough-guide --format json > /tmp/fallow-guide.json
      
      # the raw change you are reasoning about:
      git diff <ref>...HEAD          # or: git diff --cached   for staged work
      ```
      
      Read the guide's `digest.decisions.decisions[]` (what fallow already owns) and
      `digest.focus.review_here[]` (where fallow says attention is), then read the diff
      itself for everything fallow cannot prove. Echo `graph_snapshot_hash` so the
      surface can be checked for staleness if it is fed back.
      
      ## The lenses (where non-deterministic trade-offs hide)
      
      Scan the diff through these. Each is a place a defensible choice was made that the
      diff itself does not explain:
      
      - **Abstraction & duplication**: extracted vs inlined; a new abstraction vs YAGNI;
        a generalization built for a single caller.
      - **Coupling & cohesion**: two concerns now joined; a module reaching across a
        seam; new shared mutable state.
      - **Data model**: type shape; optional vs required; an invariant enforced by the
        type vs checked at runtime; enum vs open string.
      - **Error handling**: Result vs throw/panic; propagate vs swallow; a silent
        fallback; the granularity of the failure.
      - **Control flow & complexity**: a new branch that hides a second responsibility;
        an implicit ordering dependency between statements.
      - **Performance vs simplicity**: sync vs async; eager vs lazy; a cache introduced
        (and its invalidation cost); work added to a hot path.
      - **Dependencies**: a new dependency vs a few lines of native code; the transitive
        surface taken on.
      - **Naming & API ergonomics**: a name that encodes an assumption; a boolean or
        positional parameter; a leaky abstraction.
      - **Compatibility & migration**: breaking vs additive; an implied data or config
        migration; a deprecation path not laid.
      - **State & ownership**: where state lives; lifecycle and cleanup; global vs scoped.
      - **Extensibility vs simplicity**: a seam built for a future that may not arrive; a
        hard-coded choice that will be costly to change later.
      - **Testability**: hidden time, IO, or randomness; a seam that was not left for a
        test.
      - **Trust boundaries**: where input is validated; a trust assumption; secret
        handling; an injection surface.
      
      These are prompts for YOUR attention, not a checklist to fill. Most diffs touch two
      or three of these meaningfully.
      
      ## Output shape
      
      A single envelope: the echoed snapshot hash, an `abstained` flag, and the
      `tradeoffs` array (empty when `abstained`). Sort `tradeoffs` by `anchor` then
      `lens` so two runs are structurally diffable.
      
      ```json
      {
        "graph_snapshot_hash": "<echoed from the guide>",
        "abstained": false,
        "tradeoffs": [
          {
            "id": "to:src/core/api.ts:42:error-handling",
            "anchor": "src/core/api.ts:42",
            "lens": "error-handling",
            "observed": "save() returns the raw DB error to the caller.",
            "tradeoff": "Callers see the full storage error with no translation layer. Callers depend on the storage layer's error shapes.",
            "options": [
              {
                "move": "Keep as is",
                "gains": "Callers keep the full error detail and can match on the exact storage failure.",
                "costs": "Callers depend on the storage layer's error shapes."
              },
              {
                "move": "Make a type boundary explicit",
                "gains": "Callers depend on one domain error shape.",
                "costs": "Callers lose the storage detail the mapping does not carry, and the mapping is a new surface to keep in sync."
              }
            ],
            "question": "How should save() surface a storage failure to its callers?",
            "consequence": "high",
            "confidence": "medium",
            "captured": false,
            "deterministic": false
          }
        ]
      }
      ```
      
      - `id`: stable per item, `to:<anchor>:<lens>`, so a consumer can dedupe across
        re-runs and keep a human's dismissal sticky. Two trade-offs may legitimately share
        one anchor line through different lenses (e.g. a new parameter that is both an
        api-ergonomics and a compatibility question); the `lens` segment keeps their ids
        distinct, and that is intended, not a duplicate to collapse.
      - `anchor`: a real changed `file:line`, or the literal `cross-cutting` (rule 7 only).
      - `consequence`: `low` / `medium` / `high`, how much it matters if the call is
        wrong (impact). This is what you rank and cap on.
      - `confidence`: `low` / `medium` / `high`, how strongly the diff itself supports your
        reading (sureness). ORTHOGONAL to `consequence`. Anchors: `high` = the diff alone
        shows it; `medium` = the diff plus a reasonable assumption about intent; `low` =
        mostly reconstructed, or the cross-cutting slot.
      - `captured`: provenance hint, see rule 4. Not a trust score.
      - `options`: OPTIONAL, see rule 8. Two or more `{ move, gains, costs }` entries drawn
        from the named moves, unranked, always including "Keep as is". Omit rather than
        pad; omit when no move besides keeping exists. No review surface renders
        `options` yet; it is for the terminal report and the human reading the JSON, and
        a surface that does not render it loses nothing, the question stands alone.
      - `abstained: true` with `tradeoffs: []` is the terminal "looked, found nothing"
        state; distinguish it from a parse failure (no envelope at all).
      - Render for a human as the anchor, then `observed -> trade-off -> options ->
        question`, with the question LAST so the human lands on the decision they own.
      
      ## What good looks like
      
      - Each item names a real changed line (or the single cross-cutting slot), a concrete
        cost, and a GENUINELY OPEN question the human can answer without being steered.
      - The surface is short: the top five by `consequence`, or fewer, or an honest
        abstain. Never padded to fill slots.
      - `observed` reads as a neutral fact; the `question` names no fix. If a reader can
        guess your preferred answer from the question, reframe it.
      - When `options` is present, both entries carry a real cost. If a reader can guess
        the preferred option from how the entries are worded, drop `options`.
      - It does not repeat fallow's deterministic decisions; it covers the part the graph
        cannot see.
      - It never tells the human what to choose.
      
  • SKILL.md 19.9 KB
    ---
    name: fallow-review
    description: >-
      Review AI-generated or human-written code changes with fallow's
      graph-grounded review brief. Subtracts deterministic concerns (unused code,
      complexity, duplication, styling) from the loop, ranks what to look at by
      blast radius and risk, and surfaces the few consequential structural
      decisions (new public-API contracts, coupling/boundary crossings, new
      dependencies) as framed judgment questions anchored to verifiable signals.
      Drives a closed agent-contract loop: fetch the walkthrough guide, return a
      judgment, and have fallow post-validate it against the live graph
      (hallucinated or stale judgments are rejected). Use when asked to review a
      PR, review a branch, review a diff, do a code review, or check changed code
      before merge.
    license: MIT
    ---
    
    # Fallow Review: graph-grounded code review
    
    `fallow review` turns a changeset into a deterministic, graph-derived review brief and an agent-contract loop. It answers "where do I look, and what calls actually need human taste?" rather than "will CI block this?" (that is `fallow audit`, which gates). `review` always exits 0, so it is safe to run regardless of verdict.
    
    The four jobs it does, in order:
    
    - **subtract**: dead code, complexity, duplication, and styling for the changed files are reported and kept OUT of the judgment loop, so attention is not spent on what a deterministic check already owns.
    - **focus**: changed-file units are ranked by a composite attention score (fan-in/out, risk zone, change shape) with a `review-here` / `not-prioritized` label and a full `deprioritized` escape-hatch list, so nothing is hidden.
    - **structure**: the decision surface lifts the handful of consequential STRUCTURAL decisions out of the diff and frames each as a judgment question, capped to a working-memory-sized set, each anchored to a `signal_id` fallow emitted.
    - **direct**: the walkthrough guide hands an agent a graph-derived digest, the review direction, a graph-snapshot pin, and the exact judgment schema to return.
    
    ## When to use
    
    - Reviewing a PR, branch, or diff (AI-generated or human-written) before merge.
    - After an agent has done work and removed the fallow findings it could; this surfaces what is left for human/agent taste.
    - Producing inline-reviewable judgments that can flow back to the agent that wrote the code.
    
    ## When NOT to use
    
    - Gating CI on a pass/fail verdict: use `fallow audit` (it exits non-zero on a fail verdict).
    - Whole-project health, cleanup, or dead-code reports: use the `fallow` skill.
    
    ## Quick human brief
    
    ```bash
    # Auto-detect the base (merge-base against the upstream / remote default):
    fallow review
    
    # Pin the base, or scope to a precise diff:
    fallow review --base origin/main
    git diff --find-renames origin/main...HEAD | fallow review --base origin/main --diff-stdin
    ```
    
    The human brief prints the orientation facts, the focus map, and the decision surface ("Decisions to make"). `--format json` emits the full structured envelope (`decisions`, `focus`, `deltas`, `impact_closure`, `partition`, `graph_facts`). `--max-decisions N` tunes the cap (clamped to a small band). `--show-deprioritized` expands what the focus map collapsed.
    
    ## The decision surface
    
    Each decision is a framed question anchored to a `signal_id` fallow deterministically derived from the graph (a delta key or a coordination-gap key). There are exactly three shippable categories:
    
    - **coupling-boundary**: a new cross-zone dependency edge.
    - **public-api-contract**: a new exported public-API surface, or a changed contract consumed by modules OUTSIDE this diff (a coordinate-or-confirm signal).
    - **dependency**: a changed `package.json` that adds third-party entries or moves a declared entry across a major version (or a `0.x` minor). One batched decision per manifest per kind, weighted by the graph's in-repo importers of the affected packages: `blast` is the importer count, `internal_consumer_count` the importers outside the diff. Both counts are a union over the batched packages. An entry outside `dependencies` shows a `(dev)`, `(optional)`, or `(peer)` tag in the question. `digest.deltas` carries the keys as `dependency_added` (`<manifest>::<name>`) and `dependency_major_bumped` (`<manifest>::<name>@<from>-><to>`); both lists are always present, possibly empty. Minor and patch bumps and non-numeric ranges (workspace, file, git, tags) are never candidates. A `dependency` decision has no `suppress` action: it anchors on `package.json`, which cannot carry a comment, so never paste a `// fallow-ignore` line into a manifest. The `decision_surface` MCP tool surfaces the same dependency decisions as the CLI. Framing rule: cite the changelog question ("which documented change in `<from>` to `<to>` reaches these N importers?"); do not guess the behavior change.
    
    A decision may carry `previous_signal_id` when its anchor file was renamed in the change: that is the `signal_id` the same decision would have had at the old path, so a review surface can re-attach a prior reviewer comment across a `git mv`.
    
    ## Eliciting the broader trade-offs (taste ownership)
    
    The decision surface above is the DETERMINISTIC slice: only the trade-offs fallow can prove from the graph (the three categories). Real architectural trade-offs are broader (abstraction level, error-handling strategy, data-model shape, eager-vs-lazy, state ownership, extensibility-vs-YAGNI, testability, trust boundaries), and none of those are graph-detectable. Surfacing them needs a model reading the diff, not a static pass.
    
    Run the trade-off elicitation prompt in `references/tradeoff-elicitation.md` over the diff plus the guide. It applies TASTE OWNERSHIP: the model makes each choice legible and frames a genuinely open question; the human decides. The prompt carries the honesty contract (diff anchoring, the `observed` / `tradeoff` / `question` split, `deterministic: false` fencing, provenance, the top-five cap with honest abstention, no duplication of the deterministic surface, `options` that never pick). fallow owns what it can prove, the prompt covers the rest, and the fencing keeps the two from being confused.
    
    ### Running it as a review step
    
    When a review surface (the fallow review app, or you in the terminal) wants the trade-off surface alongside the deterministic decisions:
    
    1. Fetch the guide and read the diff:
       ```bash
       fallow review --base <ref> --walkthrough-guide --format json > guide.json
       git diff <ref>...HEAD            # or: git diff --cached  for staged work
       ```
    2. Run the `references/tradeoff-elicitation.md` prompt over the diff plus `guide.json`.
    3. Emit the envelope (the `{ graph_snapshot_hash, abstained, tradeoffs[] }` shape) to `.fallow-review/tradeoffs.json` in the repo root, the sibling of `.fallow-review/feed.jsonl`, so a review surface can render it.
    
    This step is deliberately NOT part of the post-validate agent-contract loop below. The trade-off envelope is never round-tripped through `fallow review --walkthrough-file` (which only validates emitted `signal_id`s), so it carries NO fallow-grade guarantee: every item stays `deterministic: false`, agent-self-checked against the diff, not graph-validated. Do not present it as fallow-validated.
    
    ## The agent-contract loop
    
    The loop lets an agent produce judgments that fallow post-validates against the live graph. The verifier is the graph, not a second model.
    
    1. **Fetch the guide:**
    
       ```bash
       fallow review --base origin/main --walkthrough-guide --format json > guide.json
       ```
    
       The guide contains: `digest` (the brief + decision surface), `direction` (where to look), `graph_snapshot_hash` (the staleness pin), `agent_schema` (the exact shape to return), and `injection_note`. The digest is built from the graph ONLY; PR prose is never folded in, so the guide is injection-resistant by construction.
    
    2. **Read the decisions** in `digest`. Each carries a `signal_id`, a `category`, the framed `question`, and an `anchor_file` / `anchor_line`.
    
    3. **Return a judgment** matching `agent_schema`:
    
       ```json
       {
         "graph_snapshot_hash": "<echo the value from the guide>",
         "judgments": [
           {
             "signal_id": "<one signal_id fallow emitted>",
             "framing": "<your reasoning for the human reviewer>",
             "action": "<block | address | consider | fyi>",
             "concern": "<optional: one lens from agent_schema.concern_vocabulary>"
           }
         ]
       }
       ```
    
       Every `signal_id` MUST be one fallow emitted in the guide (`emitted_signal_ids`). An unanchored id is rejected. Echo the `graph_snapshot_hash` verbatim.
    
       `action` tells the author what the judgment asks of them: `block` and `address` are required actions, `consider` is optional, `fyi` needs nothing. `concern` names the lens; prefer the guide's `agent_schema.concern_vocabulary`, thirteen kebab-case lenses: `abstraction`, `coupling`, `data-model`, `error-handling`, `control-flow`, `performance`, `dependencies`, `api-ergonomics`, `compatibility`, `state-ownership`, `extensibility`, `testability`, `trust-boundary`. The guide publishes both lists as `agent_schema.action_vocabulary` and `agent_schema.concern_vocabulary`; read them from the guide rather than from this file. `action_vocabulary` is enforced; `concern_vocabulary` is advisory, any string is accepted.
    
    4. **Post-validate:**
    
       ```bash
       fallow review --base origin/main --walkthrough-file judgment.json --format json
       ```
    
       The response sorts each judgment into:
       - `accepted`: the `signal_id` was emitted and the snapshot matches; the agent's `framing` is fenced as non-deterministic (`deterministic: false`) and never gates. The `action` is echoed next to `agent_framing`, fenced the same way: it is an instruction to the author, never a fallow fact.
       - `rejected` with `reason: "unanchored-signal-id"`: the `signal_id` was never emitted (a hallucination). Drop or correct it.
       - `rejected` with `reason: "invalid-action"` and `invalid_value` (the label fallow refused): the `action` is outside the vocabulary. This is reported only after the anchor resolved; a hallucinated anchor plus a bad label rejects as `unanchored-signal-id` / `unknown-change-anchor` instead. Fix the anchor first, then the label.
       - `rejected` with `reason: "stale-snapshot"` and `stale: true`: the tree moved since the guide was fetched. Re-fetch the guide and redo the judgments.
    
    ## Compose the review
    
    Validation is not the review. Once the judgments are accepted, render them for a human in this fixed order, so the reader lands on what changes the outcome first and the deterministic remainder last:
    
    1. **Accepted decision judgments**, in `direction.order`. Each one carries the digest `question` and `tradeoff` verbatim, then your `framing`, then the number that gives it weight: `internal_consumer_count`, the `out_of_diff` paths, or the unit's `scoring_budget`.
    2. **Trade-offs** from the elicitation step, ranked by `consequence`, at most five. When the envelope is `abstained: true`, print one line saying so; do not fill the slot.
    3. **Subtract** as ONE line with the counts from the brief: "handled deterministically: N dead-code, N duplication, N complexity, N styling; not in the discussion". Never re-derive any of these from the diff; the brief already owns them.
    4. **Deprioritized** as one line with the count and `--show-deprioritized` as the escape hatch, so nothing is hidden and nothing is padded.
    5. A review with zero decisions and an abstained trade-off envelope is a complete review: "nothing consequential; deterministic findings: N". It is not a failure and never a reason to invent items.
    
    Two graph facts feed the composition without adding items:
    
    - Each direction unit carries `test_adjacency`: `none` (no test file imports this unit), `untouched` (a test importer exists but is not in the diff), or `changed` (a test importer is in the diff). It is absent for test files and when the graph was not retained. For a `review-here` unit with `none`, ask the author for the verification story in the framing. Never claim coverage; the value says whether a test imports the unit, not whether it exercises the change.
    - `digest.partition.independent_slices` lists the connected components of the inter-unit dependency graph, each a sorted list of module directories. It is present only when there are two or more slices; absent means the change is one connected piece. When `digest.triage.risk_class` is `high` and the field is present, name them as an orientation fact: "this change splits into K independent slices along a graph-proven seam". It is never a demand to split; the author owns that call.
    
    Two rules govern the prose. Leverage first: one structural decision plus ten small notes means the decision IS the review; the notes ride below it or not at all. Numbers, not adjectives: every `framing` cites at least one number or path from the guide (a consumer count, an out-of-diff path, a `scoring_budget`). "Could be slow" is not a finding; "imported by 14 modules, 9 outside this diff" is.
    
    ## Human-in-the-loop walkthrough (terminal, no app)
    
    The agent-contract loop above carries the AGENT's framing. The SAME loop carries a HUMAN's verdict with the identical graph-validated, anti-hallucination guarantee, so a terminal reviewer with no review app can leave notes that fallow anchors and round-trips. This is the no-app path the review app's `.fallow-review/feed.jsonl` otherwise owns: the contract is the existing `--walkthrough-guide` / `--walkthrough-file` round-trip, not a new surface.
    
    The human owns the taste; you only carry the note. fallow validates the ANCHOR (the signal or changed region exists), never the note's correctness; every carried note stays `deterministic: false` and never gates.
    
    1. **Render the tour and read the anchors:**
    
       ```bash
       fallow review --base origin/main --walkthrough                       # the staged human tour
       fallow review --base origin/main --walkthrough-guide --format json > guide.json
       ```
    
       `guide.json` carries the decision `signal_id`s (the framed structural questions), a per-changed-region `change_anchors` set (each `{ "change_anchor": "chg:<hex>", "file", "start_line", "line_count" }`), and the `graph_snapshot_hash` staleness pin. Surface the tour to the human and collect, per item they choose to flag, a short verdict/note plus the action they want from the author. Offer only the four labels (`block`, `address`, `consider`, `fyi`); an unknown label is refused with `invalid-action`.
    
    2. **Carry each human note as a judgment** (echo the hash verbatim; cite a `signal_id` fallow emitted for a flagged decision, or a `change_anchor` for any other changed region the human notes; carry the human's action as `action`):
    
       ```json
       {
         "graph_snapshot_hash": "<echo from guide.json>",
         "judgments": [
           { "signal_id": "<an emitted decision signal>", "framing": "<the human's verdict/note>", "action": "address", "concern": "<optional>" },
           { "change_anchor": "<an emitted chg: id>", "framing": "<the human's note on this region>", "action": "consider", "concern": "<optional>" }
         ]
       }
       ```
    
    3. **Validate the capture:**
    
       ```bash
       fallow review --base origin/main --walkthrough-file judgment.json --format json
       ```
    
       The response sorts as in the agent-contract loop, with two additions: `accepted` carries `anchor_kind` (`"signal"` or `"change"`), and a `change_anchor` fallow never emitted rejects as `unknown-change-anchor`. Re-anchor to a real signal or region; do not invent one.
    
    4. **Act:** relay the accepted human verdicts into the coding session in place, or append them to `.fallow-review/feed.jsonl` so the live-injection hooks (below) carry them to the session that wrote the code. Feed lines may carry `action` too, so the receiving agent can triage: `block` and `address` are required, `consider` is optional, `fyi` needs no change. Either way the note arrives anchored and fenced, never as a fallow-grade fact.
    
    The guarantee matches the review app's: the human cannot anchor a note to a signal or region fallow did not emit, and a note left against a moved tree is refused rather than silently mis-mapped. The terminal is a first-class capture surface, no app required.
    
    ## Live feedback into your coding session (Claude Code only)
    
    This optional integration applies only when `fallow-review` runs inside Claude
    Code. Codex and other agents must skip this section and use the terminal
    round-trip above.
    
    The review surface (the fallow review app, or any tool you point at the same file) writes reviewer notes to `.fallow-review/feed.jsonl` in the repo root, one JSON object per line. A pair of hooks under `hooks/` lets your already-running Claude Code session pick those notes up automatically and act on them with its existing context, no new session, no copy-paste:
    
    - `fallow-review-session-init.sh` (SessionStart) declares a `watchPath` on `.fallow-review/feed.jsonl` so the session watches the feed for the rest of its life.
    - `fallow-review-on-feedback.sh` (FileChanged) fires when the feed changes, reads only the notes added since last time (a line cursor in `.fallow-review/.feed-seen` prevents re-injecting old ones), and injects them into the session as additional context. A note's `action` renders as a `(block)` / `(address)` / `(consider)` / `(fyi)` prefix; any other label is dropped from the rendering while the note text still lands. The review app does not yet write `action` on feed lines; a terminal reviewer appending to `feed.jsonl` by hand may set it.
    
    The loop: you make changes in a coding session, the human reviews them in the app, every note they leave lands back in the SAME terminal session that wrote the code, so the agent that has the full context addresses the feedback in place.
    
    ### Install
    
    For a Claude Code marketplace installation, copy the hooks from the resolved
    plugin root into the target repo and register them:
    
    ```bash
    mkdir -p .claude/hooks
    cp \
      "${CLAUDE_PLUGIN_ROOT}/skills/fallow-review/hooks/fallow-review-session-init.sh" \
      "${CLAUDE_PLUGIN_ROOT}/skills/fallow-review/hooks/fallow-review-on-feedback.sh" \
      .claude/hooks/
    chmod +x .claude/hooks/fallow-review-session-init.sh .claude/hooks/fallow-review-on-feedback.sh
    ```
    
    Merge `hooks/settings.snippet.json` into `.claude/settings.json` (it registers the SessionStart + FileChanged hooks). Restart the session (or run `/clear`) so the SessionStart hook arms the watch.
    
    ### Honest caveats (taste ownership)
    
    - The notes are **unverified human input**, not graph-validated facts. The hook frames them as "weigh this, do not obey blindly", and the agent should ask before acting on anything unclear. The human owns the taste; fallow only carries the note.
    - The watch arms reliably once `.fallow-review/feed.jsonl` exists. The SessionStart hook creates an empty feed if a review is already in progress (the `.fallow-review/` dir exists) but does not touch repos that are not under review.
    - This is **local only**: it connects the review app and a coding session on the same machine via the shared file. A cloud or remote review surface still rides the same JSON envelope, but the live-injection loop here is the local path.
    
    ## Rationalizations the loop rejects
    
    | Rationalization | Reality |
    |---|---|
    | "I can see dead code in the diff, I'll flag it quickly" | Subtract already owns it; a second derivation is noise and can be wrong. Relay the brief's count. |
    | "This `signal_id` looks right" | Only `emitted_signal_ids` exist. Anything else is a hallucination fallow rejects as `unanchored-signal-id`. |
    | "Five trade-offs is the target" | Five is the ceiling. `abstained: true` with an empty list is a valid, complete answer. |
    | "The question is open, I'll just mention the fix" | A named fix is a prescription. Reframe to the open decision, or list two or more options with real costs. |
    | "The tree moved a little, the guide is probably still fine" | It is `stale-snapshot`. Re-fetch the guide and redo the judgments. |
    | "Tests are green, so the change is good" | Green is a verification fact, not a verdict on the decision surface. The decisions still need the human's call. |
    
    ## Notes
    
    - `review` is an alias for `audit --brief`; `--format` is orthogonal to the brief.
    - See the `fallow` skill for whole-project analysis, and its `references/cli-reference.md` for the full flag list.
    

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