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/forensics

Post-mortem diagnostic analysis of failed workflows.

From plugin
vexjoy-agent
419122 skills198 agents11 commands76 hooks
Install
$ npx -y skills add notque/vexjoy-agent --skill forensics --agent claude-code

How it fires

How this skill gets triggered: by you, by Claude, or both.

  • Fires itselfAuto-invocation. Claude auto-loads it when your prompt matches the work.Auto-invocation is when the right skill fires by itself at the right moment, driven by a FLOW.md router and a hook, instead of you invoking it by name. It is the difference between a skill being installed and a skill actually getting used.Read the full definition →
  • You can call itInvoke it directly when you want it.
  • Slash command/forensics

Context preview

The summary Claude sees to decide when to auto-load this skill.

Post-mortem diagnostic analysis of failed workflows.

SKILL.md

forensics.SKILL.md
name: forensics
description: "Post-mortem diagnostic analysis of failed workflows."
user-invocable: false
command: /forensics
allowed-tools:
  - Read
  - Grep
  - Glob
routing:
  triggers:
    - forensics
    - what went wrong
    - why did this fail
    - stuck loop
    - diagnose workflow
    - post-mortem
    - workflow failure
    - session crashed
    - why is this stuck
    - investigate failure
    - "why did this break"
    - "incident review"
  pairs_with:
    - workflow
    - planning
  complexity: Medium
  category: process

Forensics Skill

Investigate failed or stuck workflows through post-mortem analysis of git history, plan files, and session artifacts. Forensics answers "what went wrong and why" -- it detects workflow-level failures that individual tool errors don't reveal.

**Key distinction**: A tool error is "ruff found 3 lint errors." A workflow failure is "the agent entered a fix/retry loop editing the same file 5 times and never progressed." The harness surfaces tool-level errors. Forensics handles workflow-level patterns.

Reference Loading

| Task | Load | |------|------| | Collecting git evidence, running git log commands, scrubbing credentials | `references/evidence-collection.md` | | Identifying failure type from symptoms, causal chain analysis | `references/failure-signatures.md` | | Running any of the 5 anomaly detectors, scoring confidence | `references/detectors.md` |

---

Reference Loading Table

| Signal | Load These Files | Why | |---|---|---| | Phase 2 DETECT: running the 5 anomaly detectors | `detectors.md` | Loads detailed guidance from `detectors.md`. | | Phase 1 GATHER: git extraction, loop queries, credential scrubbing | `evidence-collection.md` | Loads detailed guidance from `evidence-collection.md`. | | matching observed symptoms to the 5 failure types | `failure-signatures.md` | Loads detailed guidance from `failure-signatures.md`. |

Instructions

This is a **read-only diagnostic**. The tool restriction to Read/Grep/Glob enforces this at the platform level. A diagnostic tool that modifies state destroys the evidence it needs to analyze -- forensics examines, it does not fix. Even when the user asks you to fix what you find, complete the report and recommend remediation instead. The wrong fix applied automatically can destroy work.

Phase 1: GATHER

**Goal**: Collect the raw evidence needed for anomaly detection. Determine what branch, plan, and time range to analyze.

**Step 1: Identify the investigation target**

Accept the target from one of these sources (in priority order): 1. **Explicit branch**: User specifies a branch name to investigate 2. **Current branch**: Use the current git branch if no branch specified 3. **Explicit plan**: User points to a specific `task_plan.md`

Before analysis, read the repository's CLAUDE.md if present. Repository conventions inform what "normal" looks like (e.g., expected branch patterns, required artifacts).

**Step 2: Locate the plan file**

Search for the plan that governed the workflow:

  • Check `task_plan.md` in the repository root
  • Check `.feature/state/plan/` for feature plans
  • Check `plan/active/` for workflow-orchestrator plans

Record whether a plan exists. If no plan is found, note this -- it limits scope drift and abandoned work detection but does not block the investigation. Three of the five detectors (stuck loop, crash/interruption, and degraded abandoned work) still function without a plan, so never skip analysis because no plan file was found.

**Step 3: Collect git history**

Read the git log for the target branch. Extract:

  • Commit hashes, messages, timestamps, and files changed
  • The branch's divergence point from main/master

Use Grep to search git log output for patterns. Focus on:

  • Commits on this branch since divergence from the base branch
  • File change frequency across commits
  • Commit message patterns (similarity, repetition)

If the branch has hundreds of commits, focus on the most recent 50 and note the truncation in the final report.

**Step 4: Check working tree state**

Examine the current state:

  • Are there uncommitted changes? (look for modified/untracked indicators)
  • Are there orphaned `.claude/worktrees/` directories?
  • Is there an active `task_plan.md` with incomplete phases?

> See `references/evidence-collection.md` for concrete git commands for each evidence type: log extraction, loop detection queries, timestamp analysis, and credential scrubbing patterns.

**GATE**: Evidence collected. At minimum: git history available, branch identified. Proceed to DETECT only when evidence gathering is complete.

---

Phase 2: DETECT

**Goal**: Run all 5 anomaly detectors against the collected evidence. Always run every detector -- anomalies are often correlated (a stuck loop causes missing artifacts causes abandoned work), so partial analysis misses the causal chain. Each detector produces zero or more findings, and every finding must include a confidence level (High/Medium/Low) because false positives erode trust.

> See `references/detectors.md` for full detector specifications: confidence scoring tables, false positive guidance, and per-detector skip conditions when no plan file exists. > See `references/failure-signatures.md` for observable patterns per failure type, detection commands, and causal chain analysis when multiple detectors fire.

Run detectors 1-5 in order: Stuck Loop, Missing Artifacts, Abandoned Work, Scope Drift, Crash/Interruption.

**GATE**: All 5 detectors have run. Each produced zero or more findings with confidence levels. Proceed to REPORT.

---

Phase 3: REPORT

**Goal**: Compile findings into a structured diagnostic report with root cause hypothesis and remediation recommendations. Every claim in the report must trace to specific evidence -- a forensics report without evidence is an opinion piece, not a diagnostic.

**Step 1: Scrub sensitive content**

Before assembling the report, scan all evidence strings for:

  • API
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