Oversight Team
SkillMonitoring & opsUse 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).
Available today. Use it from your connected AI after setup.
No other account needed.
Connect ahel once, and every AI you use reads what you have installed.
Then ask your AI: use the Oversight Team skill
What this skill tells your AI
The instructions your AI receives, as published by mvschwarz/openrig in skills/_canonical/pods/oversight-team/SKILL.md and read by ahel’s review.
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 watchdogpolicies, message shape) — that'swatchdog. - A single stuck seat needs recovery — the owning orchestrator or
watchdoghandles 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
- Orchestrator-ping — nudge the pod's own orchestrator to realign. They run their rig; you prompt, you do not seize.
- 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. Usewatchdogfor the message shape and the cadence discipline. - 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
watchdogfailure 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 doctrinewatchdogoperationalizes.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).
Signals
- GitHub stars
- 67
- Forks
- 12
- Last commit
- Sep 2026
Advanced
- Catalog kind
- skill
- Gateway key
oversight-team- Source
- github.com/mvschwarz/openrig