| name | replay |
| description | Re-run a stored Autodialectics pipeline run, optionally with a different policy, to compare outcomes or debug regressions. |
Autodialectics Replay
Use this skill to replay a previous pipeline run with an optional policy override.
Prerequisites
autodialectics-mcp must be on PATH (pip install autodialectics).
MCP Tool
replay_run(run_id, policy_id?) — re-execute a stored run manifest. If policy_id is provided, the replay uses that policy instead of the original.
CLI Fallback
autodialectics replay <run_id>
autodialectics replay <run_id> --policy <policy_id>
When to Replay
- A/B policy comparison — replay the same run with two different policies and compare decisions, scores, and slop composites.
- Debugging a rejection — replay a rejected run to see if the issue was the policy, the evidence, or the task itself.
- Regression testing — after evolving a policy, replay historical runs to check for regressions.
Guidance
- Always
inspect_run the original before replaying — understand what happened first.
- When comparing original vs replay, report both side by side: decision, overall score, slop composite, and any divergent artifact content.
- Replays create new run records — they don't overwrite the original.
Arguments
If the user passes a run ID after /autodialectics:replay, replay that run and summarize the comparison with the original.
