eigenquestion-context
eigenquestion-context is a Discovery & requirements clarification skill for AI agents, published by samarv in the Shanon repository on GitHub. Skillspace rates eigenquestion-context D (64/100) and it passed the safety scan; the rating is based on static analysis only.
Gather context through high-leverage eigenquestions when information is missing or ambiguous. ACTIVATE THIS SKILL when: (1) context is missing or unclear, (2) user asks something requiring unstated assumptions, (3) working within a brain without recent context, (4) starting new work or strategic decisions, (5) multiple valid approaches exist without clear direction, (6) user says "clarify", "help me think through", or "what should I consider". This skill asks ONE discriminating question at a time to unlock maximum downstream clarity.
- Grade
- D
- Quality
- 64 / 100
- Safety
- Passed
- GitHub stars
- 28
Unproven: rated by static analysis only, not yet compared head-to-head.
This rating describes the version of the repository we crawled; it may have changed since, so go by its current files.
Our review
- Architecture
- 82 / 100
- Maturity
- Structured: ships references or scripts
- 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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