Agent skill

Skill Forge Review

by AgriciDaniel in AgriciDaniel/skill-forge

Audit and validate existing Claude Code skills for quality, triggering accuracy, structure compliance, and best practices.

MITAuto-check passedAgent Workflows

Install Skill Forge Review

skills CLI
$ npx skills add AgriciDaniel/skill-forge --skill skill-forge-review -a claude-code

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

GitHub CLI
$ gh skill install AgriciDaniel/skill-forge skill-forge-review --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/AgriciDaniel/skill-forge.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/skill-forge-review .claude/skills/skill-forge-review && 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
skill-forge-review
GitHub stars
179
Token cost
~1.3k tokens
SKILL.md length
493 words
Files
1
Skills in repo
9
Repo updated
First seen
Licence
MIT

At a glance

Audit and validate existing Claude Code skills for quality, triggering accuracy, structure compliance, and best practices.

  • Works in 10 steps: Locate Skill Files → Structure Validation → Frontmatter Audit → …
  • User says review skill
  • Calls python

What it does

Skill Forge Review is an agent skill from AgriciDaniel/skill-forge. Audit and validate existing Claude Code skills for quality, triggering accuracy, structure compliance, and best practices. Scores skills on a 0-100 scale and provides prioritized improvement recommendations. Use when user says "review skill", "audit skill", "check skill", "validate skill", or "skill quality".

Its SKILL.md is about 1.3k tokens, which your agent loads only when the skill is triggered. It is a single SKILL.md file with no bundled scripts.

It sits in Agent Workflows. The repository describes itself as: Ultimate Claude Code skill creator — design, scaffold, build, review, evolve, and publish production-grade AI agent skills. The licence is MIT.

When your agent uses it

  • User says review skill

Example prompts

  • “review skill”
  • “audit skill”
  • “check skill”
  • “/skill-forge-review”

Requirements

  • Python 3

Workflow steps

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

  1. Locate Skill Files
  2. Structure Validation
  3. Frontmatter Audit
  4. Triggering Analysis
  5. Instruction Quality
  6. Architecture Review (Multi-skill)
  7. Script Quality (if present)
  8. Generate Skill Health Score
  9. Generate Trigger Eval Set
  10. Generate Report

What it can do on your machine

Read from SKILL.md and the folder at commit 2872ee9. 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

    Shell commands in SKILL.md call:

    • python

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

  • Network

    No URLs in SKILL.md.

    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

Skill Forge Review loads about 1.3k tokens when it runs. Until then it costs about 82 tokens; SKILL.md has 493 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~82
When it runs · the whole SKILL.md, loaded when a task matches
~1.3k

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); files beside SKILL.md are not scanned.

SKILL.md

The full file from AgriciDaniel/skill-forge at commit 2872ee9, republished under its MIT licence (© AgriciDaniel). 493 words, ~1,315 tokens.

Download SKILL.mdSave it as .claude/skills/skill-forge-review/SKILL.md (or your agent's skills folder).
name
skill-forge-review
description
Audit and validate existing Claude Code skills for quality, triggering accuracy, structure compliance, and best practices. Scores skills on a 0-100 scale and provides prioritized improvement recommendations. Use when user says "review skill", "audit skill", "check skill", "validate skill", or "skill quality".

Skill Review & Validation

Process

Step 1: Locate Skill Files

Accept input as:

  • Path to a skill directory
  • Skill name (search in ~/.claude/skills/)
  • URL to a GitHub repository

Read all .md files, scripts, and asset files.

Step 2: Structure Validation

Run python scripts/validate_skill.py <path> for programmatic checks.

Manual verification:

  • SKILL.md exists (exact case)
  • No README.md inside skill folder
  • Folder name matches name field
  • Valid kebab-case naming (1-64 chars)
  • No "claude" or "anthropic" in name
Step 3: Frontmatter Audit
CheckPass Criteria
Name formatkebab-case, 1-64 chars, no leading/trailing hyphens
Description presentNon-empty, 1-1024 characters
Description has WHATExplains capabilities
Description has WHENIncludes trigger phrases
Description has keywordsDomain-specific terms included
No XML tagsNo < or > characters
Optional fields validlicense, compatibility (<500 chars), metadata
Step 4: Triggering Analysis

Assess the description for activation quality:

Under-triggering risks:

  • Too generic ("Helps with projects")
  • Missing common paraphrases
  • No domain keywords
  • Missing file type mentions (if relevant)

Over-triggering risks:

  • Too broad ("Processes documents")
  • Overlaps with built-in Claude capabilities
  • Missing negative triggers for disambiguation

Generate test queries:

  • 5 queries that SHOULD trigger the skill
  • 5 queries that SHOULD NOT trigger
  • 3 edge cases (ambiguous queries)
Step 5: Instruction Quality
CriterionScore (0-10)
SpecificityAre instructions actionable? (not "validate properly")
CompletenessAll workflows covered?
Error handlingCommon failures addressed?
ExamplesConcrete examples provided?
Progressive disclosureDetailed docs in references/ not SKILL.md?
LengthUnder 500 lines / 5000 tokens?
Cross-referencesClear links to references/scripts?
Step 6: Architecture Review (Multi-skill)

For skills with sub-skills:

  • Main skill has clear routing table
  • Sub-skills have focused responsibilities
  • Cross-references are valid (files exist)
  • Naming follows parent-child convention
  • Shared references in parent, not duplicated
  • Agents have clear roles (if Tier 4)
Step 7: Script Quality (if present)
  • Docstrings with purpose, input, output
  • CLI interface (argparse or similar)
  • Structured output (JSON)
  • Error handling (try/except with clear messages)
  • No hardcoded paths or secrets
  • Minimal dependencies
Show full SKILL.md (184 more words)Show less
Step 8: Generate Skill Health Score

Scoring methodology (0-100):

CategoryWeightChecks
Frontmatter Quality25%Name, description, format
Trigger Accuracy20%WHAT + WHEN + keywords
Instruction Quality25%Specificity, completeness, examples
Structure Compliance15%File naming, organization, references
Script Quality10%If applicable (full marks if no scripts needed)
Progressive Disclosure5%Proper use of 3-level system
Step 9: Generate Trigger Eval Set

After reviewing, generate a structured trigger eval set for ongoing testing:

  1. Run python scripts/generate_eval_set.py <path> to auto-generate a starter set
  2. Review and refine the generated queries:
    • Ensure 8-10 should-trigger queries cover different phrasings and edge cases
    • Ensure 8-10 should-not-trigger queries are near-misses (not obviously irrelevant)
    • Include casual speech, typos, and uncommon domain uses in should-trigger set
  3. Save the eval set to evals/evals.json in the skill directory

Good queries are realistic and specific (include file paths, context, domain details). Bad queries are overly generic ("format this data") or obviously irrelevant.

  1. Run python scripts/optimize_description.py <path> --eval-set evals/evals.json to score the current description and get improvement suggestions
  2. Recommend running /skill-forge eval <path> for full functional evaluation
Step 10: Generate Report
markdown
# Skill Review: [name]

## Health Score: [X]/100

## Summary
[2-3 sentence assessment]

## Scores by Category
| Category | Score | Notes |
|----------|-------|-------|
| Frontmatter | X/25 | [issues] |
| Triggering | X/20 | [issues] |
| Instructions | X/25 | [issues] |
| Structure | X/15 | [issues] |
| Scripts | X/10 | [issues] |
| Disclosure | X/5 | [issues] |

## Critical Issues (fix immediately)
- [issue 1]
- [issue 2]

## High Priority (fix within 1 week)
- [issue 1]

## Recommendations
- [suggestion 1]
- [suggestion 2]

## Suggested Test Queries
### Should Trigger
1. [query]
2. [query]
3. [query]

### Should NOT Trigger
1. [query]
2. [query]
3. [query]

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

Files

Just SKILL.md in skills/skill-forge-review of AgriciDaniel/skill-forge.

Open the folder on GitHubat commit 2872ee9

Compare with similar skills

Skill Forge Review next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.

Skill Forge Review compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Skill Forge Review this skillAgriciDaniel/skill-forge179—~1.3kAutomated safety check: PassMIT
MCP Server Builderanthropics/skills180k63 repos~2.3kAutomated safety check: PassApache-2.0
Hook Development for Claude Code Pluginsanthropics/claude-plugins-official38k10 repos~4.1kAutomated safety check: NotesApache-2.0
Using Superpowersfarm-fe/farm5.6k35 repos~1.4kAutomated safety check: PassMIT
Executing Plans Inlineobra/superpowers297k2 repos~5.1kAutomated safety check: PassMIT
Skill CreatorAzure/azqr79689 repos~8.2kAutomated safety check: PassApache-2.0

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Categories

Questions about Skill Forge Review

What does Skill Forge Review do?

Audit and validate existing Claude Code skills for quality, triggering accuracy, structure compliance, and best practices. Skill Forge Review is an agent skill from AgriciDaniel/skill-forge. Audit and validate existing Claude Code skills for quality, triggering accuracy, structure compliance, and best practices.

When should I use Skill Forge Review?

Skill Forge Review fits situations like: user says review skill.

How do I install Skill Forge Review in Claude Code?

Run `npx skills add AgriciDaniel/skill-forge --skill skill-forge-review -a claude-code`. Or copy the skill folder (skills/skill-forge-review in AgriciDaniel/skill-forge) into .claude/skills/skill-forge-review in your project. Claude Code loads it when a task matches its description.

How do I install Skill Forge Review in Codex?

Run `npx skills add AgriciDaniel/skill-forge --skill skill-forge-review -a codex`. Or copy the skill folder (skills/skill-forge-review in AgriciDaniel/skill-forge) into .agents/skills/skill-forge-review in your project. Codex loads it when a task matches its description.

Can I use Skill Forge Review 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 AgriciDaniel/skill-forge --skill skill-forge-review -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/skill-forge-review, .gemini/skills/skill-forge-review, .github/skills/skill-forge-review and .opencode/skills/skill-forge-review in your project.

What does Skill Forge Review need to run?

Going by SKILL.md and its folder, Skill Forge Review needs the command-line tools its instructions call (python). Our summary lists: Python 3.

Does Skill Forge Review access the network?

SKILL.md contains no URLs. Any network use would come from the scripts or tools the agent runs. This is read from the text; nothing was executed.

Is Skill Forge Review 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. Review the folder before installing.

What licence does Skill Forge Review use?

Skill Forge Review 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 Skill Forge Review use?

About 1.3k tokens (SKILL.md is roughly 5.3k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.

What are the alternatives to Skill Forge Review?

Skills that share tags, products or a category with Skill Forge Review: MCP Server Builder (anthropics/skills, 180k stars), Hook Development for Claude Code Plugins (anthropics/claude-plugins-official, 38k stars), Using Superpowers (farm-fe/farm, 5.6k stars) and Executing Plans Inline (obra/superpowers, 297k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Skill Forge Review?

AgriciDaniel (a GitHub user) maintains it in AgriciDaniel/skill-forge, which has 179 GitHub stars. The repository holds 9 skills in this directory. The repository was last updated on April 10, 2026.

Source: AgriciDaniel/skill-forge on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.