context-discovery
context-discovery is a Codebase mapping & onboarding skill for AI agents, published by darrenhinde in the OpenAgentsControl repository on GitHub. Skillspace rates context-discovery C (74/100) and it passed the safety scan; the rating is based on static analysis only.
Use when coding standards, security patterns, or project conventions need to be discovered before implementation begins.
- Grade
- C
- Quality
- 74 / 100
- Safety
- Passed
- GitHub stars
- 4,576
Unproven: rated by static analysis only, not yet compared head-to-head.
Our two independent classifiers differ on this skill's category, so treat the placement as provisional.
This rating describes the version of the repository we crawled; it may have changed since, so go by its current files.
Our review
- Architecture
- 99 / 100
- Maturity
- Structured: ships references or scripts
- Security scan
- No issues found
- License
- MIT
- Adoption
- Adopted by 1 other repositories, in 1 collections
- Scope
- Portable: works in any project. Generic procedure for discovering project standards before implementing anywhere
Not checked yet
- Not judged on the rubric yet (not a contender in its category)
- No blind task eval yet
- Sibling files (scripts, references) not fetched; security scan covers SKILL.md only
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