assumption-challenger
Identify and challenge implicit assumptions in plans, proposals, and technical decisions. Use when strategic-cto-mentor needs to surface hidden assumptions and wishful thinking before they become costly mistakes.
Third-Party Agent Skill: Review the code before installing. Agent skills execute in your AI assistant's environment and can access your files. Learn more about security
Installation for Agentic Skill
View all platforms →skilz install alirezarezvani/claude-cto-team/assumption-challengerskilz install alirezarezvani/claude-cto-team/assumption-challenger --agent opencodeskilz install alirezarezvani/claude-cto-team/assumption-challenger --agent codexskilz install alirezarezvani/claude-cto-team/assumption-challenger --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/assumption-challenger ~/.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
- Non-Technical
- Meta-Domain
- development
- Primary Domain
- github
- Market Score
- 0
Agent Skill Grade
B Score: 81/100 Click to see breakdown
Score Breakdown
Areas to Improve
- Missing TOC for long files
- Broken reference link
- Excessive main file length
Recommendations
- Address 2 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 intrigued by how assumption-challenger frames validation as a collaborative debugging tool rather than just error-catching—the scoring reflects solid execution, but I'm curious about the edge cases where assumptions hide in plain sight.
Links
Links:
The TL;DR
You're at 81/100, solid B-grade territory. This is graded against Anthropic's PDA (Progressive Disclosure Architecture) best practices and the 5-pillar rubric. Your strongest area is Utility (17/20)—the framework actually solves real problems. Weakest is Writing Style (7/10) and PDA (22/30)—mostly because the main file is bloated and references a skill file that doesn't exist.
What's Working Well
- Problem-solving power is real: The categorization (Technical, Market, Organizational, Process, Resource) actually maps to how assumptions break in the real world. That's not accidental design.
- Templates are comprehensive: The verdict system (Valid/Questionable/Invalid/Unknown) and the 4-step process give people a clear path without hand-holding them to death.
- Trigger phrases are tight: "validating assumptions before launching", "reviewing strategic decisions"—these are specific enough that developers know exactly when to pull this skill in.
- Examples hit the mark: The real-world assumption examples (market size, technology viability, team capability) feel grounded, not theoretical.
The Big One
Your main SKILL.md file is 356 lines without a table of contents, and you're referencing wishful-thinking-patterns.md which doesn't exist. This kills your PDA score immediately because:
- Long files = poor navigation = token waste
- Broken references = users get stuck
- Violates the "one reference ...
AI-Detected Topics
Extracted using NLP analysis
Browse Category
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