Claude opencode Skill

research

Answer one bounded question, cited. Not for dissecting a codebase; that is codebase-recon or reverse-engineer. Triggers: "research", "investigate this question", "find evidence".

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boshu2/agentops 445 41 forks Apache-2.0 Updated 1d ago
Part of boshu2/agentops — 73 skills

Install

skills CLI npx skills add https://github.com/boshu2/agentops/tree/main/images/gemini/skills/research
Claude Code claude plugin marketplace add https://llmmart.ai/marketplace.json && claude plugin install boshu2-agentops@llmmart
Git git clone https://github.com/boshu2/agentops.git

The skills CLI installs just this skill, for any of its supported agents. Claude Code installs the whole boshu2/agentops collection as a plugin from our marketplace. Git is the plain clone.

Skill manifest

Research

Answer the caller's bounded question with cited evidence. Choose ordinary investigation, repository tracing or pattern evidence according to the question; these are optional modes, not a sequence. A quick answer needs no report file. Plan owns unified discovery and resumption when the question is part of shaping a change; return this cited answer to that existing intent without restarting its interview or taking over caller choices.

Investigation

  1. State the question and the decision it informs. Reuse the accepted scope and identify what evidence would answer it; do not expand the objective mid-search.
  2. Inspect the smallest relevant sources. For changing external facts, use current primary sources. Verify search hits against the actual source.
  3. Distinguish observation, inference, contradiction and unknown. Every material claim cites evidence; source agreement does not erase shared provenance.
  4. Lead with the answer, then show evidence and remaining gaps. Each part of the question is answered or explicitly unknown with the searched scope disclosed.

Code claims cite the observed commit plus file:line. For uncommitted content, state HEAD and the changed-file status; do not claim the working bytes can be replayed from HEAD. Keep source identity and freshness visible. Search output, CASS, MS and prior reports are leads, not authority or required phases. Use the current agent by default; additional readers and runtimes require caller selection or existing authorization.

For several supplied reports, retain each source's identifier, author/runtime when known and revision/date. Compare claims as agreement, contradiction or unknown while preserving their original evidence. Repeated quotations of one upstream source are not independent corroboration. Verify decisive claims at their source and return one synthesis; do not launch recursive synthesis passes.

Repository tracing

For a repository model or audit, start from its declared entry points in docs, build manifests or command help and verify them against executable paths. Follow a relevant flow through entry, domain logic, integration and tests; prefer a completed trace to a shallow directory inventory. Report an interrupted trace at its exact file/line and explain what is missing. Choose a useful lens such as persistence, authorization, CLI, build or test without requiring a sweep of every lens.

An inline investigation may use dirty working-tree evidence with explicit limits. When a durable codebase-recon.v1 pack is selected, its stricter contract applies:

  • Write codebase-recon.json and a cited codebase-recon.md companion at the caller's chosen location, default .agents/scratch/codebase-recon/<run-id>/. Keep mental model, bounded audit, pattern evidence and synthesis distinct.
  • Bind the exact current full commit OID, at least one complete baseline flow, claims with kind, confidence and evidence, and inspected/uninspected scope. Fact and inference citations resolve to repository-relative regular files at that commit; the companion report includes line references. Unknowns remain explicit.
  • The manifest report names the companion and its lowercase SHA-256. The companion has one <!-- codebase-recon-report.v1 --> marker and manifest_commit, manifest_mode, flows_sha256, claims_sha256, and coverage_sha256 markers; section digests hash the jq -cS output for each section, including its trailing newline.
  • Discover validated priors with skills/research/scripts/codebase-recon/validate-output.sh --repo-root <target> --discover-priors. Prefer a verified delta when it answers the request. Delta evidence needs a valid ancestor chain, baseline_verified: true and the exact changed paths between the prior and current commits; do not relabel a directory scan as delta.
  • Run skills/research/scripts/codebase-recon/validate-output.sh --repo-root <target> <recon.json> before handoff. It checks both artifacts and rechecks their identities, HEAD and source state; dirty source outside .agents/ cannot satisfy this commit-bound pack. Return a validation failure without disguising it as a completed recon pack.

Preserve earlier .agents/recon/<run-id>/ packs and their exact cited identities. Prior discovery checks both legacy and current roots; never move or delete old proof to match a new layout. See the recon scenarios.

Pattern evidence

For a recurring implementation shape, test whether the similarity represents a reusable rule. Record replayable searches, examined hits and exclusions. Align independent implementations by their role in the behavior, then separate required invariants, legitimate variation and incidental syntax. Copies of one lineage do not count as independent evidence.

A pattern-mining.v1 promotion needs at least three distinct anchored exemplars, a candidate formed before inspecting a separate holdout, a passing holdout and successful back-application of every refinement to the original exemplars. Every invariant needs supporting alignment. Otherwise preserve the result as outcome: hypothesis with route: no-action; do not package weak evidence as a rule.

For this selected durable mode, write pattern-mining.json to .agents/scratch/pattern-mining/<run-id>/ or an authorized caller location and run skills/research/scripts/pattern-mining/validate-output.sh <pattern.json>. Preserve the schema's outcome, exemplars, invariants, variations, incidental, holdout, back_application and route fields. The compatibility route value operationalize on a valid promotion refers to Skill Builder's distillation mode; it is not a retired skill invocation or automatic dispatch.

Recommend the least committed useful shape: no action, a reference/checklist line, a template, helper or gate. A gate needs demonstrated cost of violation, not merely recurrence. Research returns evidence; adoption remains an explicit caller decision. See pattern scenarios.

Output and boundaries

Return a cited answer directly unless a durable output was requested or the selected evidence contract requires one. Ordinary durable reports follow findings.json: question, scope, answer, evidence, contradictions, unknowns, checked and unchecked areas. Multi-report synthesis also retains source_ledger and comparison. Selected recon and pattern modes retain their own validated formats instead of forcing them into this schema.

Use only authorized sources and destinations. For restricted or mined episode material, follow Memory's access and storage boundary. Research selects no work, owns no merged context store, mutates no lifecycle state and issues no semantic verdict. The native caller owns implementation, judgment and completion of the authorized outcome.

Files (agentops)
  • references
    • codebase-recon
      • codebase-recon.feature 1.8 KB · in bundle
    • pattern-mining
      • pattern-mining.feature 824 B · in bundle
    • research.feature 1.1 KB · in bundle
  • SKILL.md 7.8 KB
    ---
    name: research
    description: 'Trace code or test a recurring pattern to answer one cited question. Use when: uncertainty needs evidence. Not for external feature teardowns; use reverse-engineer.'
    practices:
    - pragmatic-programmer
    - ddd-bounded-context
    hexagonal_role: driving-adapter
    consumes:
    - research-question
    produces:
    - research-report
    - codebase-recon.v1
    - pattern-mining.v1
    context_rel: []
    skill_api_version: 1
    user-invocable: true
    allowed-tools: Read, Grep, Glob, Bash, Write
    metadata:
      capabilities: [research, codebase_recon, pattern_mining]
      effects: [write_research_report, write_recon_pack, write_pattern_evidence]
      canonical_status: canonical
      disposition: keep_specialist
      tier: execution
      dependencies: []
    context:
      window: fork
      intent:
        mode: task
      sections:
        exclude:
        - HISTORY
    output_contract: cited answer; findings.json for ordinary durable reports; validated codebase-recon.v1 or pattern-mining.v1 for selected evidence modes
    ---
    # Research
    
    Answer the caller's bounded question with cited evidence. Choose ordinary
    investigation, repository tracing or pattern evidence according to the question;
    these are optional modes, not a sequence. A quick answer needs no report file.
    [Plan](../plan/SKILL.md) owns unified discovery and resumption when the question
    is part of shaping a change; return this cited answer to that existing intent
    without restarting its interview or taking over caller choices.
    
    ## Investigation
    
    1. State the question and the decision it informs. Reuse the accepted scope and
       identify what evidence would answer it; do not expand the objective mid-search.
    2. Inspect the smallest relevant sources. For changing external facts, use
       current primary sources. Verify search hits against the actual source.
    3. Distinguish observation, inference, contradiction and unknown. Every material
       claim cites evidence; source agreement does not erase shared provenance.
    4. Lead with the answer, then show evidence and remaining gaps. Each part of the
       question is answered or explicitly unknown with the searched scope disclosed.
    
    Code claims cite the observed commit plus `file:line`. For uncommitted content,
    state HEAD and the changed-file status; do not claim the working bytes can be
    replayed from HEAD. Keep source identity and freshness visible. Search output,
    CASS, MS and prior reports are leads, not authority or required phases. Use the
    current agent by default; additional readers and runtimes require caller
    selection or existing authorization.
    
    For several supplied reports, retain each source's identifier, author/runtime
    when known and revision/date. Compare claims as agreement, contradiction or
    unknown while preserving their original evidence. Repeated quotations of one
    upstream source are not independent corroboration. Verify decisive claims at
    their source and return one synthesis; do not launch recursive synthesis passes.
    
    ## Repository tracing
    
    For a repository model or audit, start from its declared entry points in docs,
    build manifests or command help and verify them against executable paths.
    Follow a relevant flow through entry, domain logic, integration and tests;
    prefer a completed trace to a shallow directory inventory. Report an interrupted
    trace at its exact file/line and explain what is missing. Choose a useful lens
    such as persistence, authorization, CLI, build or test without requiring a sweep
    of every lens.
    
    An inline investigation may use dirty working-tree evidence with explicit limits.
    When a durable `codebase-recon.v1` pack is selected, its stricter contract applies:
    
    - Write `codebase-recon.json` and a cited `codebase-recon.md` companion at the
      caller's chosen location, default `.agents/scratch/codebase-recon/<run-id>/`.
      Keep mental model, bounded audit, pattern evidence and synthesis distinct.
    - Bind the exact current full commit OID, at least one complete baseline flow,
      claims with kind, confidence and evidence, and inspected/uninspected scope. Fact and inference citations
      resolve to repository-relative regular files at that commit; the companion
      report includes line references. Unknowns remain explicit.
    - The manifest `report` names the companion and its lowercase SHA-256. The
      companion has one `<!-- codebase-recon-report.v1 -->` marker and
      `manifest_commit`, `manifest_mode`, `flows_sha256`, `claims_sha256`, and
      `coverage_sha256` markers; section digests hash the `jq -cS` output for each
      section, including its trailing newline.
    - Discover validated priors with
      `skills/research/scripts/codebase-recon/validate-output.sh --repo-root <target> --discover-priors`.
      Prefer a verified delta when it answers the request. Delta evidence needs a
      valid ancestor chain, `baseline_verified: true` and the exact changed paths
      between the prior and current commits; do not relabel a directory scan as delta.
    - Run `skills/research/scripts/codebase-recon/validate-output.sh --repo-root
      <target> <recon.json>` before handoff. It checks both artifacts and rechecks
      their identities, HEAD and source state; dirty source outside `.agents/` cannot
      satisfy this commit-bound pack. Return a validation failure without disguising
      it as a completed recon pack.
    
    Preserve earlier `.agents/recon/<run-id>/` packs and their exact cited identities.
    Prior discovery checks both legacy and current roots; never move or delete old
    proof to match a new layout. See the [recon scenarios](references/codebase-recon/codebase-recon.feature).
    
    ## Pattern evidence
    
    For a recurring implementation shape, test whether the similarity represents a
    reusable rule. Record replayable searches, examined hits and exclusions. Align
    independent implementations by their role in the behavior, then separate required
    invariants, legitimate variation and incidental syntax. Copies of one lineage
    do not count as independent evidence.
    
    A `pattern-mining.v1` promotion needs at least three distinct anchored exemplars,
    a candidate formed before inspecting a separate holdout, a passing holdout and
    successful back-application of every refinement to the original exemplars.
    Every invariant needs supporting alignment. Otherwise preserve the result as
    `outcome: hypothesis` with `route: no-action`; do not package weak evidence as a rule.
    
    For this selected durable mode, write `pattern-mining.json` to
    `.agents/scratch/pattern-mining/<run-id>/` or an authorized caller location and
    run `skills/research/scripts/pattern-mining/validate-output.sh <pattern.json>`.
    Preserve the schema's `outcome`, `exemplars`, `invariants`, `variations`,
    `incidental`, `holdout`, `back_application` and `route` fields. The compatibility route
    value `operationalize` on a valid promotion refers to
    [Skill Builder's distillation mode](../skill-builder/SKILL.md#distill-expertise);
    it is not a retired skill invocation or automatic dispatch.
    
    Recommend the least committed useful shape: no action, a reference/checklist
    line, a template, helper or gate. A gate needs demonstrated cost of violation,
    not merely recurrence. Research returns evidence; adoption remains an explicit
    caller decision. See [pattern scenarios](references/pattern-mining/pattern-mining.feature).
    
    ## Output and boundaries
    
    Return a cited answer directly unless a durable output was requested or the
    selected evidence contract requires one. Ordinary durable reports follow
    [findings.json](schemas/findings.json): question, scope, answer, evidence,
    contradictions, unknowns, checked and unchecked areas. Multi-report synthesis
    also retains `source_ledger` and `comparison`. Selected recon and pattern modes
    retain their own validated formats instead of forcing them into this schema.
    
    Use only authorized sources and destinations. For restricted or mined episode
    material, follow [Memory's access and storage boundary](../memory/SKILL.md).
    Research selects no work, owns no merged context store, mutates no lifecycle
    state and issues no semantic verdict. The native caller owns implementation,
    judgment and completion of the authorized outcome.
    

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