Agentic Run Failure Forensics

Your agents finished. The evidence says the run did not.

Agentic Run Failure Forensics turns plans, agent traces, handoffs, tool effects, progress ledgers, review reports, tests, git state, and final artifacts into an evidence-bound failure report. It distinguishes observed facts from agent claims, maps supported behavior to the published MAST taxonomy, exposes stale ledgers and false-completion signals, and proposes the smallest rerun that can test a repair hypothesis.

What it produces

• Evidence coverage across objective, plan, roles, handoffs, tool effects, verification, repository state, and final result.
• Intended-versus-observed run reconstruction without filling missing steps.
• Supported MAST failure classifications with exact evidence pointers and alternatives.
• Root/cascade map separating entry conditions, contributors, propagation, symptoms, and impact.
• Ledger and completion contradictions, including reviewer passes that conflict with tests or artifacts.
• Repair layer selection, minimal rerun plan, and a regression fixture.

Why it is different

This is not a generic log summary or another debugging prompt. Dedicated reference protocols govern MAST classification, artifact normalization, evidence status, causal restraint, cascade mapping, repair selection, privacy, and injection isolation. Twelve forward cases cover complete and partial traces, single-agent exclusion, role conflict, handoff loss, premature termination, false reviewer passes, stale ledgers, embedded injection, multiple entry conditions, tool outages, and secret redaction.

Best for

• Teams using multi-agent coding or research workflows.
• Superpowers-style planning, implementation, review, and verification runs.
• Claude Code, Codex, Cursor, and other agent-host users with inspectable artifacts.
• Engineers investigating loops, lost handoffs, stale state, or unsupported completion claims.

Boundaries

The skill does not debug single-agent prompts, repair code, execute agents, prove causality, certify security, or guarantee that a proposed repair will work. It does not treat MAST as exhaustive. Partial traces produce bounded findings and missing-evidence requests, not reconstructed history.

Independent product: Designed for Superpowers-style and other multi-agent workflows. Not affiliated with or endorsed by obra, Anthropic, OpenAI, Cursor, or any agent framework.