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gsd-forensics

Post-mortem investigation for failed GSD workflows — analyzes git history, artifacts, and state to diagnose what went wrong

日本語の概要は準備中です。原文の説明を表示しています。

SpillwaveSolutions/agent-brainスター 119(GitHub 119 + cccskills 0)

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SKILL.md(原文)

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<codex_skill_adapter>

A. Skill Invocation

  • This skill is invoked by mentioning $gsd-forensics.
  • Treat all user text after $gsd-forensics as {{GSD_ARGS}}.
  • If no arguments are present, treat {{GSD_ARGS}} as empty.

B. AskUserQuestion → request_user_input Mapping

GSD workflows use AskUserQuestion (Claude Code syntax). Translate to Codex request_user_input:

Parameter mapping:

  • header → header
  • question → question
  • Options formatted as "Label" — description → {label: "Label", description: "description"}
  • Generate id from header: lowercase, replace spaces with underscores

Batched calls:

  • AskUserQuestion([q1, q2]) → single request_user_input with multiple entries in questions[]

Multi-select workaround:

  • Codex has no multiSelect. Use sequential single-selects, or present a numbered freeform list asking the user to enter comma-separated numbers.

Execute mode fallback:

  • When request_user_input is rejected (Execute mode), present a plain-text numbered list and pick a reasonable default.

C. Task() → spawn_agent Mapping

GSD workflows use Task(...) (Claude Code syntax). Translate to Codex collaboration tools:

Direct mapping:

  • Task(subagent_type="X", prompt="Y") → spawn_agent(agent_type="X", message="Y")
  • Task(model="...") → omit (Codex uses per-role config, not inline model selection)
  • fork_context: false by default — GSD agents load their own context via <files_to_read> blocks

Parallel fan-out:

  • Spawn multiple agents → collect agent IDs → wait(ids) for all to complete

Result parsing:

  • Look for structured markers in agent output: CHECKPOINT, PLAN COMPLETE, SUMMARY, etc.
  • close_agent(id) after collecting results from each agent </codex_skill_adapter>
<objective> Investigate what went wrong during a GSD workflow execution. Analyzes git history, `.planning/` artifacts, and file system state to detect anomalies and generate a structured diagnostic report.

Purpose: Diagnose failed or stuck workflows so the user can understand root cause and take corrective action. Output: Forensic report saved to .planning/forensics/, presented inline, with optional issue creation. </objective>

<execution_context> @/Users/richardhightower/clients/spillwave/src/agent-brain/.codex/get-shit-done/workflows/forensics.md </execution_context>

<context> **Data sources:** - `git log` (recent commits, patterns, time gaps) - `git status` / `git diff` (uncommitted work, conflicts) - `.planning/STATE.md` (current position, session history) - `.planning/ROADMAP.md` (phase scope and progress) - `.planning/phases/*/` (PLAN.md, SUMMARY.md, VERIFICATION.md, CONTEXT.md) - `.planning/reports/SESSION_REPORT.md` (last session outcomes)

User input:

  • Problem description: {{GSD_ARGS}} (optional — will ask if not provided) </context>
<process> Read and execute the forensics workflow from @/Users/richardhightower/clients/spillwave/src/agent-brain/.codex/get-shit-done/workflows/forensics.md end-to-end. </process>

<success_criteria>

  • Evidence gathered from all available data sources
  • At least 4 anomaly types checked (stuck loop, missing artifacts, abandoned work, crash/interruption)
  • Structured forensic report written to .planning/forensics/report-{timestamp}.md
  • Report presented inline with findings, anomalies, and recommendations
  • Interactive investigation offered for deeper analysis
  • GitHub issue creation offered if actionable findings exist </success_criteria>

<critical_rules>

  • Read-only investigation: Do not modify project source files during forensics. Only write the forensic report and update STATE.md session tracking.
  • Redact sensitive data: Strip absolute paths, API keys, tokens from reports and issues.
  • Ground findings in evidence: Every anomaly must cite specific commits, files, or state data.
  • No speculation without evidence: If data is insufficient, say so — do not fabricate root causes. </critical_rules>

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