Drift learn
Weekly Drift incident learning pass. Reads accumulated incidents, clusters them, and produces compound lessons (Phase 4 of the Drift incident pipeline).From its SKILL.md
npx -y skills add Walliiee/agent-harness --skill drift-learnAssembled from the repository path, not quoted from the project. Check it against their README if it does not work.
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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
1.5 KB, 314 tokens by cl100k_base, as published. Nobody here has run it
drift-learn — weekly incident clustering pass
Phase 4 of the Drift incident ledger: take a week of ${OPENCLAW_HOME}/incidents/YYYY-MM-DD/*.md records and produce compound lessons (patterns that recur, root causes, recommended skill patches).
When this runs
- Primary: cron.
ai.openclaw.drift-learn.plistfires Sunday 04:30. - Wrapper: through
skill-wrapper --skill drift-learn --agent main --trigger cron.
What it does
Invokes ${OPENCLAW_HOME}/bin/incident-learn --verbose:
- Scan the past 7 days of incident records.
- Cluster by taxonomy (cron-postmortem, memory-capture-bypass, etc.).
- Generate lesson candidates with LLM analysis.
- Append to
${OPENCLAW_HOME}/incidents/lessons/YYYY-WW.md.
Exit codes
0— success or partial successnon-zero— script-level failure
Files
- Script:
${OPENCLAW_HOME}/bin/incident-learn - Plist:
$HOME/Library/LaunchAgents/ai.openclaw.drift-learn.plist - This spec:
${OPENCLAW_HOME}/skills/drift-learn/SKILL.md
Related
drift-watcher— emits incidents this skill consumes.incident-emit,incident-analyze,incident-notify— incident pipeline phases 1-3.
What ships with it
Read from the repository
Just SKILL.md. No reference files, no scripts.
Gives 0 of the 12 instructions most learn study skills give in 314 tokens
Counted across 545 of the 593 authors here whose files we hold, read 2026-09-06
- Treat the current directory as a teaching workspacein 20 of 545, across 17 files
- Teach knowledge first then practice skillsin 19 of 545, across 16 files
- Design lessons which build long-term retentionin 15 of 545, across 12 files
- Save each lesson as a self-contained HTML filein 15 of 545, across 12 files
- Question the user on why they want to learn thisin 15 of 545, across 12 files
- Reuse components from the assets directoryin 14 of 545, across 11 files
- Never trust your parametric knowledgein 13 of 545, across 10 files
- Record user preferences in NOTES.mdin 11 of 545, across 8 files
- Ground all teaching in the MISSION.md documentin 11 of 545, across 8 files
- Save each lesson to the lessons directoryin 8 of 545
- Question the user if the mission is unclearin 7 of 545
- Gather primary sources onlyin 7 of 545, across 4 files
Said here and by no other author read
- Scan the past 7 days of incident records
- Cluster by taxonomy
- Generate lesson candidates with LLM analysis
Grouped from the skills themselves: near-identical wordings counted once, and counted by distinct author, so one author publishing three of these counts once. Length counted with cl100k_base; the agent that loads this file may tokenize it differently.