Drift watcher

Skill Walliiee/agent-harness/skills/drift-watcher

A drop-in self-improving memory + operations harness for AI agents (OpenClaw / Hermes / Claude Code / Codex). Layered memory, autonomous drift-fixing loop, evals, and one-command DR. Templates + scripts, no secrets.

Install

npx -y skills add Walliiee/agent-harness --skill drift-watcher

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One thing to look at

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What its author says it does

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Hourly cron-postmortem sweep — scans launchd job logs for failure signatures and emits Drift incidents for routing through the incident pipeline.

The file declares its own license as MIT. That is the author’s claim about this one file, and it is not the same thing as the license GitHub reports for the repository, which is listed with the other numbers below.

SKILL.md

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drift-watcher — hourly cron health sweep

Phase 1 of the Drift incident ledger: detect cron failures by reading launchd log output and emit structured incident records.

When this runs

Primary: cron. ai.openclaw.drift-watcher.plist fires hourly 09:00–00:00 local.
Wrapper: through skill-wrapper --skill drift-watcher --agent main --trigger cron.

What it does

Invokes ${OPENCLAW_HOME}/bin/cron-postmortem-watch:

Read recent launchd stdout/stderr logs for known plists.
Match against failure signatures (Nth consecutive error, timeout, missing artifact, etc.).
For each match, call incident emit with the appropriate taxonomy.
Apply green-path counter reset when a previously-failing job recovers.

Exit codes

0 — sweep completed (incidents emitted as needed)
non-zero — script-level error reading logs

Files

Script: ${OPENCLAW_HOME}/bin/cron-postmortem-watch
Plist: $HOME/Library/LaunchAgents/ai.openclaw.drift-watcher.plist
This spec: ${OPENCLAW_HOME}/skills/drift-watcher/SKILL.md

incident-emit — direct downstream.
incident-analyze / incident-notify — phases 2/3.
drift-learn — phase 4 (weekly aggregation).