Agent skill

Dual Axis Skill Reviewer

by tradermonty in tradermonty/claude-trading-skills

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.

MITAuto-check passedDevelopment

Install Dual Axis Skill Reviewer

skills CLI
$ npx skills add tradermonty/claude-trading-skills --skill dual-axis-skill-reviewer -a claude-code

Project install by default; add -g for ~/.claude/skills/.

GitHub CLI
$ gh skill install tradermonty/claude-trading-skills dual-axis-skill-reviewer --agent claude-code

Project scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).

Manual copy
$ git clone --depth 1 https://github.com/tradermonty/claude-trading-skills.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/dual-axis-skill-reviewer .claude/skills/dual-axis-skill-reviewer && rm -rf skills-src

Use ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.

Claude Code skills documentation · loads skills from .claude/skills/

Facts

Skill name
dual-axis-skill-reviewer
GitHub stars
3k
Used in
1 other repo
Token cost
~1.2k tokens
SKILL.md length
420 words
Files
7 (incl. scripts, references)
Skills in repo
74
Repo updated
First seen
Licence
MIT

At a glance

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.

  • Works in 4 steps: Run Auto Axis + Generate LLM Prompt → Run LLM Review → Merge Auto + LLM Axes → …
  • You need reproducible quality scoring for skills//SKILL.md
  • SKILL.md covers When to Use, Prerequisites, Workflow and Output, plus 2 more sections
  • Runs Python scripts from its folder; calls uv

What it does

Dual Axis Skill Reviewer is an agent skill from tradermonty/claude-trading-skills. 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.

Its SKILL.md is about 1.2k tokens, which your agent loads only when the skill is triggered. The skill folder holds 9 other files, including scripts and reference files (for example `references/llm_review_schema.md`, `references/scoring_rubric.md` and `scripts/run_dual_axis_review.py`).

It sits in Development, covering Code review. The repository describes itself as: Claude Code skills for equity investors and traders — market analysis, technical charting, economic calendars, screeners, and trading strategy development. The licence is MIT.

When your agent uses it

  • You need reproducible quality scoring for skills//SKILL.md
  • Want to gate merges with a score threshold (for example 90+)
  • Need concrete improvement items for low-scoring skills

Example prompts

  • “/dual-axis-skill-reviewer”

Requirements

  • Python 3

Workflow steps

4 steps, taken from the step headings in SKILL.md.

  1. Run Auto Axis + Generate LLM Prompt
  2. Run LLM Review
  3. Merge Auto + LLM Axes
  4. Optional Controls

What it can do on your machine

Read from SKILL.md and the folder at commit c8d58f0. It shows what the files ask for, not the result of running them.

  • Tool permissions

    Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.

    From allowed-tools in the SKILL.md frontmatter.

  • Runs code

    Ships 3 files in scripts/ (Python), which the agent can run.

    Shell commands in SKILL.md call:

    • uv

    From the folder's file list and the shell code blocks in SKILL.md.

  • Network

    No URLs in SKILL.md. Its commands use uv, which can reach the network depending on how they are called.

    From URLs in SKILL.md, links to its own repository left out.

  • Credentials

    Names no API keys, tokens, secrets or passwords.

    From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.

Context cost

Dual Axis Skill Reviewer loads about 1.2k tokens when it runs, and up to ~1.9k if it reads all its reference files. Until then it costs about 108 tokens; SKILL.md has 420 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~108
When it runs · the whole SKILL.md, loaded when a task matches
~1.2k
With references · SKILL.md plus every file in references/, read only if the agent opens them
~1.9k

Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.

Safety

Auto-check passed

The automated check found no risky patterns in SKILL.md.

Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); the scripts in this folder are not scanned.

SKILL.md

The full file from tradermonty/claude-trading-skills at commit c8d58f0, republished under its MIT licence (© tradermonty). 420 words, ~1,209 tokens.

Download SKILL.mdSave it as .claude/skills/dual-axis-skill-reviewer/SKILL.md (or your agent's skills folder). This skill also uses 6 other files; get the full folder from GitHub.
name
dual-axis-skill-reviewer
description
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.

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:

bash
# If reviewing from the same project:
REVIEWER=skills/dual-axis-skill-reviewer/scripts/run_dual_axis_review.py

# If reviewing another project (global install):
REVIEWER=~/.claude/skills/dual-axis-skill-reviewer/scripts/run_dual_axis_review.py
Step 1: Run Auto Axis + Generate LLM Prompt
bash
uv run "$REVIEWER" \
  --project-root . \
  --emit-llm-prompt \
  --output-dir reports/

When reviewing a different project, point --project-root to it:

bash
uv run "$REVIEWER" \
  --project-root /path/to/other/project \
  --emit-llm-prompt \
  --output-dir reports/
Step 2: Run LLM Review
  • Use the generated prompt file in reports/skill_review_prompt_<skill>_<timestamp>.md.
  • Ask the LLM to return strict JSON output.
  • When running inside Claude Code, let Claude act as orchestrator: read the generated prompt, produce the LLM review JSON, and save it for the merge step.
Step 3: Merge Auto + LLM Axes
bash
uv run "$REVIEWER" \
  --project-root . \
  --skill <skill-name> \
  --llm-review-json <path-to-llm-review.json> \
  --auto-weight 0.5 \
  --llm-weight 0.5 \
  --output-dir reports/
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.
Show full SKILL.md (154 more words)Show less

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/:

bash
ln -sfn /path/to/claude-trading-skills/skills/dual-axis-skill-reviewer \
  ~/.claude/skills/dual-axis-skill-reviewer

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

© tradermonty, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file

Files

SKILL.md and 6 other files (scripts, references) in skills/dual-axis-skill-reviewer of tradermonty/claude-trading-skills.

  • SKILL.md
  • references/llm_review_schema.md
  • references/scoring_rubric.md
  • requirements.txt
  • scripts/run_dual_axis_review.py
  • scripts/tests/conftest.py
  • scripts/tests/test_run_dual_axis_review.py

Open the folder on GitHubat commit c8d58f0

Used in 1 other repository

We found 1 copy of this SKILL.md (exact, near-identical or edited) in other folders, from 1 other GitHub owner. This page covers the copy in tradermonty/claude-trading-skills, which our catalogue first saw on October 7, 2026.

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Categories

Questions about Dual Axis Skill Reviewer

What does Dual Axis Skill Reviewer 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. Dual Axis Skill Reviewer is an agent skill from tradermonty/claude-trading-skills. 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.

When should I use Dual Axis Skill Reviewer?

Dual Axis Skill Reviewer fits situations like: you need reproducible quality scoring for skills//SKILL.md; want to gate merges with a score threshold (for example 90+); need concrete improvement items for low-scoring skills.

How do I install Dual Axis Skill Reviewer in Claude Code?

Run `npx skills add tradermonty/claude-trading-skills --skill dual-axis-skill-reviewer -a claude-code`. Or copy the skill folder (skills/dual-axis-skill-reviewer in tradermonty/claude-trading-skills) into .claude/skills/dual-axis-skill-reviewer in your project. Claude Code loads it when a task matches its description.

How do I install Dual Axis Skill Reviewer in Codex?

Run `npx skills add tradermonty/claude-trading-skills --skill dual-axis-skill-reviewer -a codex`. Or copy the skill folder (skills/dual-axis-skill-reviewer in tradermonty/claude-trading-skills) into .agents/skills/dual-axis-skill-reviewer in your project. Codex loads it when a task matches its description.

Can I use Dual Axis Skill Reviewer in Cursor, Gemini CLI or GitHub Copilot?

Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add tradermonty/claude-trading-skills --skill dual-axis-skill-reviewer -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/dual-axis-skill-reviewer, .gemini/skills/dual-axis-skill-reviewer, .github/skills/dual-axis-skill-reviewer and .opencode/skills/dual-axis-skill-reviewer in your project.

What does Dual Axis Skill Reviewer need to run?

Going by SKILL.md and its folder, Dual Axis Skill Reviewer needs Python for the scripts in its folder and the command-line tools its instructions call (uv). Our summary lists: Python 3.

Does Dual Axis Skill Reviewer access the network?

SKILL.md contains no URLs. Its commands use uv, which can reach the network depending on how they are called. This is read from the text; nothing was executed.

Is Dual Axis Skill Reviewer safe to install?

Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. The check reads SKILL.md only: the scripts in the folder are not scanned, so read them before running anything.

What licence does Dual Axis Skill Reviewer use?

Dual Axis Skill Reviewer is published under the MIT licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.

How many tokens does Dual Axis Skill Reviewer use?

About 1.2k tokens (SKILL.md is roughly 4.8k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full. Its references folder adds about 678 tokens, read only when the agent opens those files.

What are the alternatives to Dual Axis Skill Reviewer?

Skills that share tags, products or a category with Dual Axis Skill Reviewer: PR Babysitter (openinterpreter/openinterpreter, 69k stars), Code Review Checklist (shareAI-lab/learn-claude-code, 78k stars), Backend Code Review (langflow-ai/langflow, 155k stars) and Mole Bug Patterns (tw93/Mole, 70k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Dual Axis Skill Reviewer?

tradermonty (a GitHub user) maintains it in tradermonty/claude-trading-skills, which has 2,982 GitHub stars. The repository holds 74 skills in this directory. The repository was last updated on October 11, 2026.

Source: tradermonty/claude-trading-skills on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.