How to Test a SKILL.md Skill Before Publishing

Publishing a broken or poorly-tested skill damages your reputation as a creator. Bad reviews are permanent. Here's how to test properly before listing.

Quick Answer: To test an AI skill before publishing, follow these steps: test trigger reliability with diverse prompts, evaluate output quality on real projects, check edge cases, verify cross-agent compatibility, and review the description/metadata to ensure accuracy and clarity.

Step 1: Test trigger reliability

The most common failure mode: the skill doesn't activate when it should, or activates when it shouldn't.

Start a Claude Code session and try 5 different prompts that should trigger your skill. Then try 5 prompts that are similar but shouldn't trigger it.

For a code review skill:

Should trigger:

• "Review my latest changes"
• "Check this code for bugs"
• "Do a code review on the auth module"
• "Look for security issues in this PR"
• "Review the code I just wrote"

Should NOT trigger:

• "Write a new function to parse JSON"
• "Help me with my Docker configuration"
• "Explain what this regex does"
• "Create a README for this project"
• "Fix the bug on line 45"

If it triggers on fewer than 4 of the first 5, your description is too narrow. If it triggers on more than 1 of the second 5, your description is too broad.

For help writing better descriptions, see How to Write a SKILL.md Description That Triggers.

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Step 2: Test output quality

Once the skill triggers, does it produce useful output? Test on a real project — not a toy example. Use a codebase with real complexity, real patterns, and real edge cases.

Check:

• Does the output follow the instructions in the skill?
• Is it actually better than Claude Code without the skill?
• Does it match the conventions of the target project?
• Are there factual errors or hallucinated patterns?

Step 3: Test edge cases

• Empty files or projects with no code
• Very large files (1000+ lines)
• Multiple languages in the same project
• Unusual project structures
• Projects using uncommon frameworks or tools

Your skill doesn't need to handle every edge case perfectly, but it shouldn't crash or produce obviously wrong output.

Step 4: Test cross-agent compatibility

If you're listing the skill as compatible with multiple agents, test it in each one:

# Test in Claude Code
cp -r ~/.claude/skills/my-skill/ /tmp/skill-test/
ls ~/.claude/skills/my-skill/SKILL.md

# Test in Codex CLI
cp -r /tmp/skill-test/ ~/.codex/skills/my-skill/

# Test in Gemini CLI
cp -r /tmp/skill-test/ ~/.gemini/skills/my-skill/

Run the same test prompts in each agent. The skill should produce comparable output across all of them.

Step 5: Test the description and metadata

Your marketplace listing is the first thing buyers see. Check:

• Does the title clearly communicate what the skill does?
• Does the description match the actual behavior?
• Are the tags accurate?
• Is the reading time/complexity appropriate for the skill's content?

Pre-publish checklist

• Skill triggers on relevant prompts (5/5)
• Skill does NOT trigger on unrelated prompts (0/5)
• Output quality is better than Claude without the skill
• Tested on a real project, not a toy example
• Edge cases don't cause crashes or garbage output
• Tested in all listed compatible agents
• SKILL.md frontmatter is valid (name, description)
• No hardcoded paths, secrets, or personal info
• Description and metadata are accurate

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