validation-report-generator
Generate structured 8-section validation reports with verdict (GOOD/BAD/NEEDS MAJOR WORK), strengths, critical flaws, blindspots, and concrete path forward. Use after strategic-cto-mentor has completed validation analysis and needs to produce final deliverable.
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Installation for Agentic Skill
View all platforms →skilz install alirezarezvani/claude-cto-team/validation-report-generatorskilz install alirezarezvani/claude-cto-team/validation-report-generator --agent opencodeskilz install alirezarezvani/claude-cto-team/validation-report-generator --agent codexskilz install alirezarezvani/claude-cto-team/validation-report-generator --agent geminiFirst time? Install Skilz: pip install skilz
Works with 22+ AI coding assistants
Cursor, Aider, Copilot, Windsurf, Qwen, Kimi, and more...
Extract and copy to ~/.claude/skills/ then restart Claude Desktop
git clone https://github.com/alirezarezvani/claude-cto-teamcp -r claude-cto-team/skills/validation-report-generator ~/.claude/skills/Need detailed installation help? Check our platform-specific guides:
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Agentic Skill Details
- Owner
- alirezarezvani (GitHub)
- Repository
- claude-cto-team
- Stars
- 44
- Forks
- 10
- Type
- Technical
- Meta-Domain
- data ai
- Primary Domain
- data analysis
- Market Score
- 0
Agent Skill Grade
A Score: 93/100 Click to see breakdown
Score Breakdown
Areas to Improve
- Description needs trigger phrases
- Missing TOC in main skill file
- Redundant content between files
Recommendations
- Address 1 high-severity issues first
- Add trigger phrases to description for discoverability
- Add table of contents for files over 100 lines
Graded: 2026-01-24
Developer Feedback
I was looking at your validation-report-generator and noticed how you've structured the progressive disclosure—most skills front-load their complexity, but you've managed to keep the token efficiency tight while still covering the edge cases. That's a solid A-grade approach.
Links:
The TL;DR
You're at 93/100, solidly in A territory. This is based on Anthropic's best practices for skill structure and usability. Your strongest area is Writing Style (9/10)—the voice stays consistent and instructional throughout. The weakness is Spec Compliance (11/15), mainly because your description field is missing trigger phrases that help users discover the skill.
What's Working Well
- Layered architecture is chef's kiss: SKILL.md points cleanly to report-template.md and verdict-criteria.md without burying details. The reference depth is perfect at one level down.
- Terminology consistency across files: You use "verdict," "validation," and "bulletproof" uniformly, which makes the skill feel cohesive and easy to follow.
- Quality checklist before delivery: The 10-point verification list in the Quality Checklist section is excellent—it shows you thought about how users actually use this, not just the happy path.
- Tone calibration guidance: Letting users adjust tone (confident vs. diplomatic) while keeping structure rigid is the right balance. It gives freedom without chaos.
The Big One: Add Trigger Phrases to Description
Your frontmatter description needs actual trigger keywords. Right now it reads:
description: Generate structured 8-section validation reports with verdict (GOOD/BAD/NEEDS MAJOR WORK)...
The system needs phrases like "Use when asked to..." so...
AI-Detected Topics
Extracted using NLP analysis
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