agent-watchdog
Use when asked to watch, babysit, audit, review, compare, or fix another agent's work from a…
Experimental workflow for auditing recurring feedback, telemetry, errors, and brittle delivery paths to find systemic fixes. Use for periodic or requested cross-source lookbacks, not routine single-item intake.
$ npx -y skills add BuilderIO/skills --skill factory-lookback --agent claude-codeHow it fires
How this skill gets triggered: by you, by Claude, or both.
/factory-lookbackContext preview
The summary Claude sees to decide when to auto-load this skill.
Experimental workflow for auditing recurring feedback, telemetry, errors, and brittle delivery paths to find systemic fixes. Use for periodic or requested cross-source lookbacks, not routine single-item intake.
name: factory-lookback installer-group: factory description: >- Experimental workflow for auditing recurring feedback, telemetry, errors, and brittle delivery paths to find systemic fixes. Use for periodic or requested cross-source lookbacks, not routine single-item intake.
Read `.agent-factory/config.yaml` and apply the optional `skill_prompts.factory-lookback` entry as additional project guidance. Use this workflow when asked to look back across a bounded period or when an enabled `workflows.lookback` automation runs. Its purpose is to find patterns that normal item-by-item flows keep missing or fixing only temporarily.
1. Confirm the configured sources, scope, time window, comparison period, and output policy before querying. Use only connected sources the host can read. 2. Enumerate the full configured range, follow every page or cursor, and record source filters, dates, counts, and unavailable or truncated sources. Do not report a complete lookback when coverage is partial. 3. Include relevant feedback, analytics or telemetry, runtime errors, recurring CI or review failures, repeated recovery attempts, replies to earlier information requests, and prior fixes marked shipped or verified when those records are available. 4. Cluster records by underlying symptom and affected boundary, not wording alone. Keep event counts, affected users or sessions, time range, versions, and distinct source links separate; do not infer identity or impact from unstable identifiers.
For each recurring cluster, trace representative reports to their original source and inspect prior dispositions, commits, tests, and release evidence. Check whether the symptom recurred after a claimed fix, appeared through a sibling caller, or escaped because the normal workflow lacked a signal, owner, verification step, or recovery path.
For a report previously held for more information, inspect the full source thread for new replies. Re-triage the original report with the new details and check whether the normal fix flow now has enough evidence to proceed. Keep the item open when the answer is still incomplete; do not treat a reply as a fix or as permission for another action.
Reproduce a representative current case when possible. Trace related callers and surfaces to the shared boundary that can explain the evidence. Prefer one verified correction at that boundary over a pile of caller-specific patches. Separate confirmed causes from hypotheses, and state what evidence would disprove each proposed explanation.
Use `workflows.lookback.implement` to decide whether to recommend only, prepare a fix, or publish an authorized change. A recurring pattern is evidence for investigation, not automatic permission to edit code or take an external action. Keep reply, issue closure, PR approval, merge, deployment, and notification under their own configured policies.
When implementation is allowed, make the smallest systemic fix that addresses the confirmed cause. Add or update a regression check at the boundary, exercise the representative failure and relevant sibling paths, and inspect the same signals again after the fix. A test, merge, or “fixed” label alone does not prove that the live recurrence stopped.
For each pattern, report:
evidence or next step;
rollout or live-verification work;
decisions, plus any exact human decision required.
Do not treat unavailable telemetry or an incomplete history as evidence that a pattern does not exist.
Small, composable skills for your favorite agent.
Repo: BuilderIO/skills
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