rajesh-gsn

Browser-based SKILL.md validator with live linting, quality scoring, token estimation, and syntax highlighting. Zero install, zero dependencies.

12
1
100% credibility
Found May 02, 2026 at 12 stars -- GitGems finds repos before they trend. Get early access to the next one.
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AI Analysis
JavaScript
AI Summary

SkillLint is a free, browser-based validator for SKILL.md files that provide instructions to AI models like Claude, offering instant checks for errors, warnings, quality scores, and usage estimates.

How It Works

1
🔍 Discover SkillLint

You hear about a handy free tool to check your AI skill files while chatting with friends or browsing tips for better AI instructions.

2
🌐 Open the website

Head to the simple website in your web browser – it works right away with no sign-up or downloads needed.

3
📝 Paste or drop your file

Copy and paste the text of your skill file into the editor, or just drag and drop the file – it feels super easy and instant.

4
🔍 See feedback appear

Right away, you get a colorful score like A to F, a list of problems from serious errors to helpful tips, and even a guess at how much space it uses.

5
✏️ Click to fix issues

Tap any problem to jump straight to that spot in your file, making it simple to tweak and improve as you go.

6
Watch your score rise

As you make changes, the grade climbs up, issues disappear, and you feel confident it's getting better.

Perfect skill ready

Celebrate your top score – your AI skill file is now polished, reliable, and set to work great!

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Star Growth

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AI-Generated Review

What is skill-lint?

Skill-lint is a browser-based skill linter for validating SKILL.md files—structured Markdown docs that define AI behaviors for tools like Claude. Paste your file into the zero-install JavaScript app, and it delivers live linting across 20 rules, a quality score from A-F, token estimation for context limits, and SKILL.md-aware syntax highlighting. It solves sloppy skills getting ignored by spotting errors like missing frontmatter or vague triggers before deployment.

Why is it gaining traction?

No npm, no server, no data leaks—just open in any browser for instant feedback with line-jump fixes and drag-drop support. Token estimation benchmarks against 8k-200k contexts, while the score tracks improvements objectively. In a sea of browser-based GitHub tools like IDEs or text-based browsers, its zero dependencies and AI-specific linting make it a quick win for skill lintzaag without setup friction.

Who should use this?

AI prompt engineers iterating on Claude skills, developers building browser-based games or tools with SKILL.md integrations, and teams maintaining cross-tool AI workflows. It's ideal for frontend devs using Chrome, Chromium, or Firefox-based browsers who need fast validation during prototyping, without bloating their stack.

Verdict

Grab it for niche SKILL.md work—solid docs, unit tests, and Netlify deploys show care, despite 12 stars and 1.0% credibility signaling early maturity. Fork the MIT code if you need custom rules; it's a lightweight linting essential for AI skill authors.

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