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Agent Audit Log

Lightweight operational audit logging for AI assistants, agent workspaces, and personal automation systems. Use when you need a structured way to record high...

33 downloads
Free
Reviewed

Agent Audit Log

Create and maintain a lightweight audit trail for high-value actions.

Core rule

Log only actions that matter for safety, traceability, or later review. Do not turn the audit log into noise.

Default layers

  1. Raw fact log (YYYY-MM-DD.jsonl)
  2. Date summary (index.json)
  3. Target/project index (by-target.json)
  4. Risk index (by-risk.json)
  5. Human-readable summary (latest.md)
  6. Export-safety events (export_safety_check)
  7. Open items (open-items.json)
  8. Status transition history (open-items-history.json)

Read references as needed

  • Read references/schema.md for the log schema and event fields.
  • Read references/risk-model.md for how to classify low / medium / high risk.
  • Read references/export-safety.md before logging publish/export actions.
  • Read references/open-items.md when tracking unresolved risks or follow-up work.
  • Read references/examples.md when you need concrete event, export-safety, or open-item examples.

Use scripts as needed

  • Use scripts/init_audit.sh to create the basic audit directory and starter files.

Operating rules

  • Do not store plaintext secrets in audit logs.
  • Prefer concise, human-readable summaries.
  • Record target, result, and non-sensitive references.
  • Use warn when something needs attention but did not fail.
  • Use open items for follow-up risk, not for routine noise.

Download

ZIP package — ready to use

Skill Info

Creator
lethehades
Downloads
33
Published
Mar 15, 2026
Updated
Mar 16, 2026