evidence-verification
✓Collects and verifies evidence before marking tasks complete. Use when completing tasks, code reviews, or deployments to prove work with test results, build outputs, coverage metrics, and exit codes.
Installation
SKILL.md
Ensures all claims are backed by executable proof: test results, coverage metrics, build success, and deployment verification.
Key Principle: Show, don't tell. No task is complete without verifiable evidence.
✅ Tests executed with captured exit code ✅ Timestamp recorded ✅ Evidence stored in context
Collects and verifies evidence before marking tasks complete. Use when completing tasks, code reviews, or deployments to prove work with test results, build outputs, coverage metrics, and exit codes. Source: yonatangross/orchestkit.
Facts (cite-ready)
Stable fields and commands for AI/search citations.
- Install command
npx skills add https://github.com/yonatangross/orchestkit --skill evidence-verification- Source
- yonatangross/orchestkit
- Category
- </>Dev Tools
- Verified
- ✓
- First Seen
- 2026-02-11
- Updated
- 2026-02-18
Quick answers
What is evidence-verification?
Collects and verifies evidence before marking tasks complete. Use when completing tasks, code reviews, or deployments to prove work with test results, build outputs, coverage metrics, and exit codes. Source: yonatangross/orchestkit.
How do I install evidence-verification?
Open your terminal or command line tool (Terminal, iTerm, Windows Terminal, etc.) Copy and run this command: npx skills add https://github.com/yonatangross/orchestkit --skill evidence-verification Once installed, the skill will be automatically configured in your AI coding environment and ready to use in Claude Code or Cursor
Where is the source repository?
https://github.com/yonatangross/orchestkit
Details
- Category
- </>Dev Tools
- Source
- skills.sh
- First Seen
- 2026-02-11