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Sdd audit

Skill Xopoko/plug-n-skills/plugins/spec-driven-development/skills/sdd-audit

Ready-to-install skills and plugins for Codex, Claude Code, and AI coding agents: practical workflows for app delivery, architecture, research, design, and agent tooling.

Install
npx -y skills add Xopoko/plug-n-skills --skill sdd-audit

Assembled from the repository path, not quoted from the project. Check it against their README if it does not work.

One thing to look at

  • 9 stars9 stars. Stars are a popularity signal and not a quality one, but at this level it is likely that nobody has read this closely except its author, and you would be relying on your own review.

What its author says it does

Copied from the file, not written here

Audit SDD artifacts, requirement-task traceability, surface selection, and completion evidence before implementation or final delivery.

SKILL.md

1.9 KB, 414 tokens by cl100k_base, as published. Nobody here has run it

SDD Audit

Use for SDD reviews, consistency checks, pre-implementation gates, completion proof, or questions like "is this spec ready", "are tasks traceable", or "can we claim done".

Required Tools

PowerShell: use $env:PLUGIN_ROOT for $PLUGIN_ROOT command paths.

python3 "$PLUGIN_ROOT/scripts/sdd_surface_audit.py" <repo> --json
python3 "$PLUGIN_ROOT/scripts/sdd_traceability_check.py" <repo> --json

Use --feature-dir <path> when active feature is not inferable.

Check

  • surface, lane, risk/evidence profile
  • missing spec/design/tasks/quickstart/contracts
  • placeholders, clarification markers, source/review gaps
  • duplicate or missing requirement/task IDs
  • requirements without tasks; tasks without paths/verification
  • completed tasks without fresh evidence or ledger
  • missing strict/regulated evidence ledger
  • task refs to unknown requirement IDs
  • LLM self-review/model confidence/context-free LLM-as-a-judge treated as proof
  • scope/evidence mismatch; missing privacy/memorization/proprietary/credential/regulated-data constraints

Severity

  • FAIL: missing core artifact, unresolved high-impact clarification, buildable requirement without task, completed task without evidence, or LLM self-judgment used as proof.
  • WARN: weak traceability, vague requirement, missing optional design detail, missing non-critical evidence ledger, or manual-only proof.
  • PASS: artifacts are present and traceable enough for the chosen lane.

Report

## SDD Audit
- STATUS: PASS | WARN | FAIL
- LANE: <detected or selected lane>
- FEATURE_DIR: <path or none>
- BLOCKING_FINDINGS: <count and top findings>
- WARNINGS: <count and top findings>
- NEXT: <specific action>

Do not rewrite artifacts during an audit unless the user explicitly asks for fixes.

What ships with it

Read from the repository

Just SKILL.md. No reference files, no scripts.

Keep looking

Skills are one crate of 326,970. Ordering is by how many stacks a row turns up in, so the top of any crate is what has actually been picked rather than what has the most stars.