interview-me

interview-me is a Discovery & requirements clarification skill for AI agents, published by HaipingXu in the social-science-claude-scholar repository on GitHub. Skillspace rates interview-me C (74/100) and it passed the safety scan; the rating is based on static analysis only.

This skill should be used when the user asks to "interview me about my research", "help me formalize my research idea", "ask me questions about my project", "Socratic research discussion", "help me develop my research question", or "research spec". Conducts a structured Socratic interview to formalize a research idea into a specification document with hypotheses, identification strategy, and data plan.

Grade
C
Quality
74 / 100
Safety
Passed
GitHub stars
20

Unproven: rated by static analysis only, not yet compared head-to-head.

Not launch-quality. It is graded C with a clean safety verdict, but our quality filters exclude it: it is a near-duplicate variant of another skill. So it is not in our launch-quality set, the skills our MCP server searches and recommends. How launch-quality is decided

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.

View source on GitHubHaipingXu/social-science-claude-scholar

Our review

Architecture
100 / 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

  • Category is a classifier prediction; no model has read this skill 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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