Setup & Installation
Or with the ClawHub CLI, for registry-managed skill folders outside a full OpenClaw workspace:
What This Skill Does
Immutable, hash-chained audit logging for autonomous agent operations. Each entry records what happened, which agent did it, and a SHA-256 hash linking to the previous entry so any tampering breaks the chain. Covers skill executions, decisions, data access, and budget changes.
Most agent frameworks ship no standard audit trail, so without this you would need to build and maintain custom logging infrastructure from scratch.
When to use it
- Tracing the exact decision chain before an agent error
- Accounting for every dollar an agent spent and why
- Verifying no audit entries were modified or deleted after the fact
- Generating a daily compliance summary for enterprise review
- Filtering logs by action type during incident response
Example Workflow
Here's how your AI assistant might use this skill in practice.
User asks: what did the agent do in the 10 minutes before the deployment error?
- 1Query audit entries by time range covering the incident window
- 2Filter results by action types: skill_executed, decision, error
- 3Run verify command to confirm the audit chain is intact
- 4Export the matching entries as JSON for review
A hash-verified, chronological list of every agent action in that window, including decision rationale and alternatives considered