drift-review
Skill1 starsChanged 8 months agoMITView on GitHub
Analyze behavioral drift patterns across agents. Use when reviewing agent health, investigating anomalies, or during periodic governance reviews.
1 other project uses a version of this.
Adopted by
Most recently taken up by
- Pipelex/pipelextheir own version, first seen Feb 25, 2026
Other versions1 project uses a version of this.
Word for word · 0
None found.
Edited · 0
None found.
Wrote their own version · 1
- Pipelex/pipelex★ 949same name
How matches are found. Word for word: the exact same text. Edited: shares passages with this file (“99% same” means 99% of its five-word phrases also appear here; 10% or more counts). Their own version: similar meaning, or, weakest, the same name. We can’t tell which project had it first. Projects are counted among the 200 most-starred candidates, and mentions are links to the repository we found, up to 50 per site, so both counts are a floor.
In this repository3 other files it gives its agents.
- CLAUDE.mdCLAUDE.md
- governance-setupSkill
- hold-triageSkill
The file
We split this skill into the rules it gives an agent
3 rules. About 0 are common, 1 is distinctive, and 2 are very specific to this project.
≈0
Common · estimate
Many files like this have a rule of this kind.
≈1
Distinctive · estimate
This author's own choices. Worth a look.
2
Very specific
Tied to their project's names, files or tools. Probably skip.
- Common
- Distinctive
- Very specific
- Very specific: line 14
Call ps_state_drift_history with the agent ID
- Distinctive: line 35
Always show data before recommending actions.
- Very specific: line 37
Check audit logs with ps_audit_get if the user wants to understand what caused the drift.
≈ “Common” is an estimate: at least 1 in 5 of the 350,495 skill files we read have a rule of the same kind, not the same words. “Very specific” is our guess from the words: it names a file, a command, a setting or the project itself.
Files
Drift Review — PromptSpeak Governance
You are conducting a behavioral drift review across governed agents.
Workflow
- Get system overview — Call
ps_state_systemto see all agents, their circuit breaker status, and drift metrics. - For each agent with drift above baseline:
- Call
ps_state_drift_historywith the agent ID - Identify the drift trend (increasing, stable, decreasing)
- Note which dimensions are drifting (goal displacement, tool usage patterns, confidence shifts)
- Call
- Present findings as a dashboard:
Agent: [agent_id]
Status: [circuit breaker state]
Drift: [current drift score] (baseline: [baseline])
Trend: [↑ increasing / → stable / ↓ decreasing]
Top concern: [most drifted dimension]- Recommend actions based on severity:
- Low drift (< 0.3 above baseline): Monitor, no action needed
- Medium drift (0.3–0.7 above baseline): Suggest recalibrating baseline with
ps_state_reset - High drift (> 0.7 above baseline): Recommend halting agent with
ps_state_haltuntil root cause is identified
- If the user wants to act, execute the recommended tools.
Guidelines
- Always show data before recommending actions.
- Drift is not inherently bad — agents learning new tasks will drift. Context matters.
- Check audit logs with
ps_audit_getif the user wants to understand what caused the drift. - A halted agent (circuit breaker open) should be investigated before resuming with
ps_state_resume.
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