dual-axis-skill-reviewer
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 90+), or need concrete improvement items for low-scoring skills. Works across projects via --project-root.
npx skills add BaggaT236/AI-Trading-Skills --skill dual-axis-skill-reviewer --agent claude-code
Same command for any agent — swap --agent for codex, cursor, copilot.
Weekly change comes from our own snapshots, not the repository page — it measures attention, not adoption.
# 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` ## 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: ```bash # If reviewin
- When to Use
- Prerequisites
- Workflow
- Step 1: Run Auto Axis + Generate LLM Prompt
- Step 2: Run LLM Review
- Step 3: Merge Auto + LLM Axes
- Step 4: Optional Controls
- Output
- Installation (Global)
- Resources
If reviewing from the same project: If reviewing another project (global install): uv run "$REVIEWER" \ ln -sfn /path/to/claude-trading-skills/skills/dual-axis-skill-reviewer \
What does the dual-axis-skill-reviewer skill do?
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 90+), or need concrete improvement items for low-scoring skills. Works across projects via --project-root.
How do I install it?
Run `npx skills add BaggaT236/AI-Trading-Skills --skill dual-axis-skill-reviewer --agent claude-code` — it drops the skill into your project so the agent can pick it up. Swap the --agent value for codex, cursor or copilot if you use one of those.
Where does this skill come from?
From BaggaT236/AI-Trading-Skills, a repository with 118 stars. We read it straight from the repository tree rather than a submitted listing, so what you see here is what is actually published.
Is a popular skill a good skill?
Not necessarily. Stars measure attention, not adoption — a repository can trend for a week and be abandoned. That is why we show the weekly change from our own snapshots next to the total, instead of a single flattering number.