Review skills in any project using a dual-axis method: (1) deterministic code-based checks (structure, scripts, tests, execution safety) and (2) LLM deep review findings. Use when you need reproducible quality scoring for `skills/*/SKILL.md`, want to gate merges with a score threshold (for example 9

Dual Axis Skill Reviewer Run the dual axis reviewer script and save reports to reports/ . The script supports: Random or fixed skill selection Auto axis scoring with optional test execution LLM prompt generation LLM JSON review merge with weighted final score Cross project review via project root Non scoring display of skills index.yaml production verification declarations When to Use Need reproducible scoring for one skill in skills/ /SKILL.md . Need improvement items when final score is below 90. Need both deterministic checks and qualitative LLM code/content review. Need to review skills in a different project from the command line. Prerequisites Python 3.9+ uv (recommended — auto resolves pyyaml dependency via inline metadata) For tests: uv sync extra dev or equivalent in the target project For LLM axis merge: JSON file that follows the LLM review schema (see Resources) Workflow Determine the correct script path based on your context: Same project : skills/dual axis skill reviewer/scripts/run dual axis review.py Global install : ~/.claude/skills/dual axis skill reviewer/scripts/run dual axis review.py The examples below use REVIEWER as a placeholder. Set it once: Step 1: Run Auto Axis + Generate LLM Prompt When reviewing a different project, point project root to it: Step 2: Run LLM Review Use the generated prompt file in reports/skill review prompt <skill <timestamp .md . Ask the LLM to return strict JSON output. When running inside Claude Code, let Claude act as orchestrator: read the generated prompt, produce the LLM review JSON, and save it for the merge step. Step 3: Merge Auto + LLM Axes Step 4: Optional Controls Fix selection for reproducibility: skill <name or seed <int Review all skills at once: all Skip tests for quick triage: skip tests Change report location: output dir <dir Increase auto weight for stricter deterministic gating. Increase llm weight when qualitative/code review depth is prioritized. Output reports/skill review <skill <timestamp .json reports/skill review <skill <timestamp .md reports/skill review prompt <skill <timestamp .md (when emit llm prompt is enabled) When the target project has a skills index.yaml entry with a complete verification block, JSON and Markdown reports also show its declared axes, not verified gaps, non applicable axes, and all applicable axes passed . This section is informational only. It is excluded from auto/LLM/final scores and does not replace a live high severity issue check. Installation (Global) To use this skill from any project, symlink it into ~/.claude/skills/ : After this, Claude Code will discover the skill in all projects, and the script is accessible at ~/.claude/skills/dual axis skill reviewer/scripts/run dual axis review.py . Resources Auto axis scores metadata, workflow coverage, execution safety, artifact presence, and test health. Auto axis detects knowledge only skills and adjusts script/test expectations to avoid unfair penalties. LLM axis scores deep content quality (correctness, risk, missing logic, maintainability). Final score is weighted average. If final score is below 90, improvement items are required and listed in the markdown report. Script: skills/dual axis skill reviewer/scripts/run dual axis review.py LLM schema: references/llm review schema.md Rubric detail: references/scoring rubric.md

dual-axis-skill-reviewer