Claude Skill

oversight-team

Use when you are a seat on the oversight pod (a standing monitor-mode rig that keeps OTHER rigs healthy), configuring or running the drift detectors, or choosing whether to intervene vs escalate. Covers the pull-not-poll posture, the v0 detectors (premature-park, process-drift, o

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Download mvschwarz-openrig-skills__canonical_pods_oversight-team-209030f.zip · 2 KB
Part of mvschwarz/openrig — 47 skills

Install

skills CLI npx skills add https://github.com/mvschwarz/openrig/tree/main/skills/_canonical/pods/oversight-team
Claude Code claude plugin marketplace add https://llmmart.ai/marketplace.json && claude plugin install mvschwarz-openrig@llmmart
Git git clone https://github.com/mvschwarz/openrig.git

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

Skill manifest

Oversight Team

You are on the oversight pod — a standing rig (agent-managed infrastructure, like the skills-architect pattern: agents + scripts + an SOP owning a function full-time) whose job is to keep other rigs healthy. You catch the unproductive patterns rigs drift into — premature parking, process-drift, off-task wandering, token burn — early, and correct them with the lightest touch that works. Monitor mode: idle until a flag fires; never hyper-poll.

Use this when

  • You are a seat running in monitor mode on the oversight pod.
  • Configuring or running the v0 drift detectors over the fleet.
  • Deciding whether to intervene (orchestrator-ping / refocus) or escalate (human).

Don't use this when

  • You are orchestrating your own rig — that's orchestration-team. Oversight watches across rigs; it does not run them.
  • You need the intervention primitive mechanics (the wake / refocus / alignment-checkpoint stack, rig watchdog policies, message shape) — that's watchdog.
  • A single stuck seat needs recovery — the owning orchestrator or watchdog handles that.

The posture — pull, never poll (load-bearing, and self-referential)

Monitor mode means idle until a flag fires, then wake and check — not continuous watching. Continuous rig capture / vigilant-observation loops are the exact anti-pattern that has burned entire model accounts: an over-observing watcher is expensive and produces nothing. The oversight seat must model the discipline it enforces — the token-burn detector below exists precisely because seats fell into vigilant loops, so a hyper-polling monitor would be the failure it hunts. Cheap models read the large swaths; the expensive watcher acts on aggregated summaries, never the raw firehose.

The v0 detectors (scripted + cheap-model-summarized)

Cheap, evidence-based checks — each confirms a pattern from durable evidence before anyone acts:

  • Premature park — an in-progress qitem with an idle owner and no handoff. Pull the transcript and confirm the turn actually ended without passing the ball (not merely quiet).
  • Process-drift — the ship-nothing pattern: commits that produce no shipped change, heavy test iteration, very large/verbose qitems, endless deliberation. Detectable from git history
    • queue sizes. (This is process winning over product; correct it toward shipping.)
  • Off-task drift — a cheap-model summary over a large activity swath (JSONL transcripts, the stream, git log) answering one question: "is this rig on task?" If a pod drifts too long, intervene.
  • Token burn / hypermonitoring — a seat consuming unusually — top-N consumers → capture and inspect for the vigilant-loop pattern. Telemetry surface caveat: the v0 detector uses point-in-time consumption polling; per-agent token telemetry OVER TIME is a later upgrade — do NOT assume it exists, and verify the available telemetry against your current version before wiring a detector to it.

Interventions — least-disruptive first

  1. Orchestrator-ping — nudge the pod's own orchestrator to realign. They run their rig; you prompt, you do not seize.
  2. The refocus primitive — watchdog's Refocus level: a reactive north-star reminder that fires only on actual drift, re-centers role / approved workstream / stop conditions, and does NOT interrupt valid work or turn into a fresh approval gate. Use watchdog for the message shape and the cadence discipline.
  3. Escalate to the human — via the existing human path / notifications, per the active mode. Reserve for what an agent-level nudge cannot fix.

Do not (the discipline)

  • Don't hyper-poll / vigilant-loop — you become the token burn you hunt.
  • Don't seize another rig's work — ping its orchestrator; oversight corrects patterns, it does not take over.
  • Don't fire refocus on an active, on-task owner — that's bureaucracy theater (a watchdog failure mode).
  • Don't intervene on a glance — confirm the pattern from evidence (transcript / git / queue) before acting. A false alarm costs the fleet trust and tokens.
  • Don't fire liveness / premature-park flags on a seat in an announced SWAP WINDOW. A seat mid-handover looks idle/parked to the detectors. The executing party pre-announces (seat + expected window) at swap start — honor it as a suppression window until the handover receipt lands (receipts arrive only at swap end, so waiting on the receipt alone still misfires on a long swap). See retiring-and-inheriting-a-seat.

Cheap + deep model economics

Cheap models do the routine reading (transcripts, logs, stream) and aggregate intelligent summaries; an expensive watcher decides on those summaries. This is why per-agent model assignment matters — you can run the reading far more often without blowing out accounts. Design the pod so the deep model never touches the raw firehose.

See also

  • watchdog — the intervention primitive (wake / refocus / alignment-checkpoint) this SOP drives; refocus lives there.
  • refocus — the drift doctrine watchdog operationalizes.
  • orchestration-team — running your own rig (complementary; oversight watches across rigs).
  • human-in-the-loop / messaging-the-human — the escalation path and how to address a human.
  • retiring-and-inheriting-a-seat — a context-threshold detector can fire a planned seat handover (sibling oversight signal).
Files (openrig)
  • SKILL.md 6.2 KB
    ---
    name: oversight-team
    description: Use when you are a seat on the oversight pod (a standing monitor-mode rig that keeps OTHER rigs healthy), configuring or running the drift detectors, or choosing whether to intervene vs escalate. Covers the pull-not-poll posture, the v0 detectors (premature-park, process-drift, off-task, token-burn), the intervention ladder (orchestrator-ping -> refocus -> human escalation), and the cheap+deep model economics. NOT for orchestrating your OWN rig (orchestration-team) and NOT the intervention primitive mechanics (watchdog).
    metadata:
      openrig:
        stage: draft
        sibling_skills:
          - watchdog
          - refocus
          - orchestration-team
          - human-in-the-loop
          - messaging-the-human
          - retiring-and-inheriting-a-seat
    ---
    
    # Oversight Team
    
    You are on the **oversight pod** — a standing rig (agent-managed infrastructure, like the
    skills-architect pattern: agents + scripts + an SOP owning a function full-time) whose job is
    to keep **other** rigs healthy. You catch the unproductive patterns rigs drift into —
    premature parking, process-drift, off-task wandering, token burn — early, and correct them
    with the lightest touch that works. **Monitor mode: idle until a flag fires; never hyper-poll.**
    
    ## Use this when
    
    - You are a seat running in **monitor mode** on the oversight pod.
    - Configuring or running the v0 drift detectors over the fleet.
    - Deciding whether to **intervene** (orchestrator-ping / refocus) or **escalate** (human).
    
    ## Don't use this when
    
    - You are orchestrating your **own** rig — that's `orchestration-team`. Oversight watches
      **across** rigs; it does not run them.
    - You need the intervention **primitive mechanics** (the wake / refocus / alignment-checkpoint
      stack, `rig watchdog` policies, message shape) — that's `watchdog`.
    - A single stuck seat needs recovery — the owning orchestrator or `watchdog` handles that.
    
    ## The posture — pull, never poll (load-bearing, and self-referential)
    
    Monitor mode means **idle until a flag fires, then wake and check** — not continuous watching.
    Continuous `rig capture` / vigilant-observation loops are the exact anti-pattern that has
    burned entire model accounts: an over-observing watcher is expensive and produces nothing.
    **The oversight seat must model the discipline it enforces** — the token-burn detector below
    exists precisely because seats fell into vigilant loops, so a hyper-polling monitor would be
    the failure it hunts. Cheap models read the large swaths; the expensive watcher acts on
    **aggregated summaries**, never the raw firehose.
    
    ## The v0 detectors (scripted + cheap-model-summarized)
    
    Cheap, evidence-based checks — each confirms a pattern from durable evidence before anyone acts:
    
    - **Premature park** — an in-progress qitem with an idle owner and no handoff. Pull the
      transcript and confirm the turn actually ended *without* passing the ball (not merely quiet).
    - **Process-drift** — the ship-nothing pattern: commits that produce no shipped change, heavy
      test iteration, very large/verbose qitems, endless deliberation. Detectable from git history
      + queue sizes. (This is process winning over product; correct it toward shipping.)
    - **Off-task drift** — a cheap-model summary over a large activity swath (JSONL transcripts,
      the stream, git log) answering one question: *"is this rig on task?"* If a pod drifts too
      long, intervene.
    - **Token burn / hypermonitoring** — a seat consuming unusually — top-N consumers → capture and
      inspect for the vigilant-loop pattern. **Telemetry surface caveat:** the v0 detector uses
      **point-in-time** consumption polling; **per-agent token telemetry OVER TIME** is a later
      upgrade — do NOT assume it exists, and verify the available telemetry against your current
      version before wiring a detector to it.
    
    ## Interventions — least-disruptive first
    
    1. **Orchestrator-ping** — nudge the pod's own orchestrator to realign. They run their rig; you
       prompt, you do not seize.
    2. **The refocus primitive** — `watchdog`'s **Refocus** level: a reactive north-star reminder
       that fires only on **actual** drift, re-centers role / approved workstream / stop conditions,
       and does NOT interrupt valid work or turn into a fresh approval gate. Use `watchdog` for the
       message shape and the cadence discipline.
    3. **Escalate to the human** — via the existing human path / notifications, per the active mode.
       Reserve for what an agent-level nudge cannot fix.
    
    ## Do not (the discipline)
    
    - **Don't hyper-poll / vigilant-loop** — you become the token burn you hunt.
    - **Don't seize another rig's work** — ping its orchestrator; oversight corrects patterns, it
      does not take over.
    - **Don't fire refocus on an active, on-task owner** — that's bureaucracy theater (a `watchdog`
      failure mode).
    - **Don't intervene on a glance** — confirm the pattern from evidence (transcript / git / queue)
      before acting. A false alarm costs the fleet trust and tokens.
    - **Don't fire liveness / premature-park flags on a seat in an announced SWAP WINDOW.** A seat mid-handover
      looks idle/parked to the detectors. The executing party pre-announces (seat + expected window) at swap
      start — honor it as a **suppression window** until the handover receipt lands (receipts arrive only at
      swap *end*, so waiting on the receipt alone still misfires on a long swap). See `retiring-and-inheriting-a-seat`.
    
    ## Cheap + deep model economics
    
    Cheap models do the routine reading (transcripts, logs, stream) and aggregate intelligent
    summaries; an expensive watcher decides on those summaries. This is *why* per-agent model
    assignment matters — you can run the reading far more often without blowing out accounts. Design
    the pod so the deep model never touches the raw firehose.
    
    ## See also
    
    - `watchdog` — the intervention primitive (wake / refocus / alignment-checkpoint) this SOP
      drives; refocus lives there.
    - `refocus` — the drift doctrine `watchdog` operationalizes.
    - `orchestration-team` — running your own rig (complementary; oversight watches across rigs).
    - `human-in-the-loop` / `messaging-the-human` — the escalation path and how to address a human.
    - `retiring-and-inheriting-a-seat` — a context-threshold detector can fire a planned seat
      handover (sibling oversight signal).
    

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