curious-intern
curious-intern is a Discovery & requirements clarification skill for AI agents, published by michaelimas1 in the team-context-template repository on GitHub. Skillspace rates curious-intern D (63/100) and it passed the safety scan; the rating is based on static analysis only.
Use this skill when the user has spare time and wants to improve the knowledge base by being interviewed about gaps. Triggered by "curious intern", "interview me", "extract knowledge", "fill gaps", "what's missing in the docs", "brain dump", "ask me questions about our systems", "I have spare time", "teach you something". This is the "Let the AI Interview You" philosophy principle as a repeatable workflow.
- Grade
- D
- Quality
- 63 / 100
- Safety
- Passed
- GitHub stars
- 32
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
- 90 / 100
- Maturity
- Basic: a single SKILL.md
- Security scan
- No issues found
- License
- Not declared. Check the repository before reusing it.
- Adoption
- Adopted by 0 other repositories, in 0 collections
Not checked yet
- Not judged on the rubric yet (not a contender in its category)
- No blind task eval yet
- Scope (portable / vendor / repo-internal) not assessed; only the top of each category is read for scope
- Sibling files (scripts, references) not fetched; security scan covers SKILL.md only
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