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SKILL verified MIT Self-run

Cds Forensics

skill-enakoneschniy-claude-dev-stack-cds-forensics · by Enakoneschniy

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

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Install

$ agentstack add skill-enakoneschniy-claude-dev-stack-cds-forensics

✓ scanned · ✓ verified, works with Claude Code, Cursor, and more.

Security review

✓ Passed

No issues found. Passed automated security review. · v0.1.0 How review works →

  • Prompt-injection patterns
  • Secret / credential exfiltration
  • Dangerous shell & filesystem operations
  • Untrusted network calls
  • Known-malicious package signatures

What it can access

  • Network access No
  • Filesystem access No
  • Shell / process execution No
  • Environment & secrets No
  • Dynamic code execution No

From automated source analysis of v0.1.0. “Used” means the capability is present in the source — more access means more to trust, not that it’s unsafe.

View the full security report →

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[![AgentStack Verified](https://agentstack.voostack.com/badges/verified.svg)](https://agentstack.voostack.com/security/report/skill-enakoneschniy-claude-dev-stack-cds-forensics)

Reliability & compatibility

Security review passed
0 installs to date
no reviews yet
5mo ago

Declared compatibility

Claude CodeClaude Desktop

Compatibility is declared by the source manifest. End-to-end runtime verification is coming, see below.

Preview Execution monitoring

We're building live execution health for every listing: tool-call success rate, median latency, uptime, and last-checked timestamps, measured, not self-reported. It isn't live yet, so we don't show numbers we can't stand behind.

How agent discovery & health will work →
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About

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.

@$HOME/.claude/cds-workflow/workflows/forensics.md

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: $ARGUMENTS (optional — will ask if not provided)

Read and execute the forensics workflow from @$HOME/.claude/cds-workflow/workflows/forensics.md end-to-end.

  • 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
  • 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.

Source & license

This open-source skill is cataloged on AgentStack and links to its original source — we do not rehost the code.

Install and usage instructions live in the source repository linked above.

Reviews

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Versions

  • v0.1.0 Imported from the upstream source.