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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.

newAI & Automation

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

Sourceself
License
Risk labelsafe ("critical" means the skill may run commands or touch files — read before use)
FilesSKILL.md
Added2026-08-19

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