audit-agent-run-evidence
Use when an agent, harness, gateway, MCP workflow, or multi-step automation claims completion and the available traces, checkpoints, approvals, tool calls, or deployment records must be judged without trusting self-reported success.
Audit Agent Run Evidence
Overview
Turn an end-to-end success statement into independently decidable claims. Reconstruct what happened from available records, grade each claim against the strongest witness, and keep missing evidence distinct from failure.
This is a read-only audit. Do not rerun tools, approve actions, resume workers, deploy artifacts, or modify evidence unless the user separately authorizes those actions.
When to Use
- Auditing a completed or interrupted agent run from traces and artifacts.
- Checking whether an agent's end-to-end success claim is actually supported.
- Reviewing MCP, gateway, sandbox, checkpoint, retry, memory, approval, or deployment evidence.
- Separating autonomous success from human-assisted or merely requested outcomes.
Do not use this skill to design instrumentation for a future run or to perform the missing actions. It evaluates evidence that already exists.
Establish the Contract
Record these inputs before judging the run:
- declared goal and terminal success criteria;
- run, workflow, task, and parent identifiers;
- immutable code, configuration, model, prompt, tool-schema, and artifact revisions when available;
- actors and trust boundaries: orchestrator, worker, sandbox, MCP server, gateway, human approver, CI, and deployment platform;
- retry, deadline, token, cost, concurrency, and human-escalation budgets;
- su
Subscribers only
The full skill, its 1 bundled files and every download is included with every paid Complete AI plan.
Details
| Source | self |
|---|---|
| License | — |
| Risk label | safe ("critical" means the skill may run commands or touch files — read before use) |
| Files | SKILL.md |
| Added | 2026-08-19 |
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