name	inspect
description	Examine Autodialectics run results, manifests, and stored artifacts. Use after a pipeline run completes or to review past runs.

Autodialectics Inspect

Use this skill to examine completed or in-progress pipeline runs and their artifacts.

autodialectics-mcp must be on PATH (pip install autodialectics).

inspect_run(run_id) — retrieve the run manifest: status, decision, scores, timing, and artifact paths.
read_artifact(run_id, artifact_name) — read a specific artifact by filename. Artifacts by pipeline stage:
1. submission.json — the original task submission
2. contract.md — the immutable task contract (Markdown)
3. evidence.json — gathered evidence bundle from the exploration stage
4. dialectic.json — thesis/antithesis/synthesis from the dialectical planner
5. execution.json — domain executor results
6. verification.json — independent verification output
7. evaluation.json — slop scores and gate decision
8. summary.md — human-readable run summary
9. benchmark_report.json — benchmark-specific metrics (only present for benchmark runs)

autodialectics inspect <run_id>

Start with inspect_run to get the overview, then drill into specific artifacts with read_artifact.
When summarizing a run, always include: run ID, domain, policy ID, decision, overall score, slop composite.
If the run status is running or starting, it may still be in progress — wait and re-inspect.
Compare verification.json against evaluation.json to understand whether the verifier and evaluator agree.
Read dialectic.json to see how the planner resolved competing concerns (thesis vs antithesis).

If the user passes a run ID after /autodialectics:inspect, inspect that run and summarize the results.

name	inspect
description	Examine Autodialectics run results, manifests, and stored artifacts. Use after a pipeline run completes or to review past runs.

Use this skill to examine completed or in-progress pipeline runs and their artifacts.

autodialectics-mcp must be on PATH (pip install autodialectics).

inspect_run(run_id) — retrieve the run manifest: status, decision, scores, timing, and artifact paths.
read_artifact(run_id, artifact_name) — read a specific artifact by filename. Artifacts by pipeline stage:
1. submission.json — the original task submission
2. contract.md — the immutable task contract (Markdown)
3. evidence.json — gathered evidence bundle from the exploration stage
4. dialectic.json — thesis/antithesis/synthesis from the dialectical planner
5. execution.json — domain executor results
6. verification.json — independent verification output
7. evaluation.json — slop scores and gate decision
8. summary.md — human-readable run summary
9. benchmark_report.json — benchmark-specific metrics (only present for benchmark runs)

autodialectics inspect <run_id>

Start with inspect_run to get the overview, then drill into specific artifacts with read_artifact.
When summarizing a run, always include: run ID, domain, policy ID, decision, overall score, slop composite.
If the run status is running or starting, it may still be in progress — wait and re-inspect.
Compare verification.json against evaluation.json to understand whether the verifier and evaluator agree.
Read dialectic.json to see how the planner resolved competing concerns (thesis vs antithesis).

If the user passes a run ID after /autodialectics:inspect, inspect that run and summarize the results.

inspect