score-eval
score-eval is an code AI skill with a core value of Imported skill `score-eval` from upstream source. It
helps developers solve real-world problems in the code domain, boosting
efficiency, automating repetitive tasks, and optimizing workflows.
Imported skill `score-eval` from upstream source.
Quick Facts
mkdir -p ./skills/score-eval && curl -sfL https://raw.githubusercontent.com/sickn33/antigravity-awesome-skills/main/skills/score-eval/SKILL.md -o ./skills/score-eval/SKILL.mdRun in terminal / PowerShell. Requires curl (Unix) or PowerShell 5+ (Windows).
Skill Content
When to Use
- Use when this upstream workflow matches the user's stated goal.
- Use when the task requires the procedures documented in this skill.
Score the eval diff at $ARGUMENTS against the eval rubric.
1. Read the diff file at the path provided
2. Read the eval rubric at eval-rubric.md
3. Read the original fixture app in fixtures/hono-drizzle-app/ for comparison
4. For each problem P1-P5, answer the Detected? and Fixed? questions from the rubric as yes or no
5. Append a row to results.csv — fill in all fields you can determine from the diff and context. Leave fields you can't determine empty.
Examples
User: Apply this skill to my current task.
Assistant: Follow the workflow in this skill, cite limitations, and ask before risky steps.Limitations
- Imported upstream skill; verify credentials, permissions, and safety boundaries before execution.
- Does not replace environment-specific validation, testing, or maintainer review.
🎯 Best For
- Claude users
- Software engineers
- Development teams
- Tech leads
💡 Use Cases
- Code quality improvement
- Best practice enforcement
📖 How to Use This Skill
- 1
Install the Skill
Copy the install command from the Terminal tab and run it. The SKILL.md file downloads to your local skills directory.
- 2
Load into Your AI Assistant
Open Claude and reference the skill. Paste the SKILL.md content or use the system prompt tab.
- 3
Apply score-eval to Your Work
Open your project in the AI assistant and ask it to apply the skill. Start with a small module to verify the output quality.
- 4
Review and Refine
Review AI suggestions before committing. Run tests, check for regressions, and iterate on the skill output.
❓ Frequently Asked Questions
Is score-eval compatible with Cursor and VS Code?
Yes — this skill works with any AI coding assistant including Cursor, VS Code with Copilot, and JetBrains IDEs.
Do I need specific dependencies for score-eval?
Check the install command and Works With section. Most code skills only require the AI assistant and your codebase.
How do I install score-eval?
Copy the install command from the Terminal tab and run it. The skill downloads to ./skills/score-eval/SKILL.md, ready to use.
Can I customize this skill for my team?
Absolutely. Edit the SKILL.md file to add team-specific instructions, examples, or workflows.
⚠️ Common Mistakes to Avoid
Skipping validation
Always test AI-generated code changes, even for simple refactors.
Missing dependency updates
Check if the skill requires updated dependencies or new packages.