rethink-surveys
rethink-surveys is a User interviews & surveys skill for AI agents, published by ooiyeefei in the ccc repository on GitHub. Skillspace rates rethink-surveys C (74/100) and it passed the safety scan; the rating is based on static analysis only.
Design, critique, or scaffold surveys grounded in Caroline Jarrett, Dillman, and Tourangeau methods. Use when designing a new survey, critiquing an existing one, scoring or clustering responses, or turning questions into an app. Triggers on "survey", "questionnaire", "user research", "customer discovery", "intent capture", "interview script", "lint my survey", "score responses", or "how to ask better questions". When the bundled MCP server is connected, prefer its deterministic tools (`critique_survey`, `get_template`, `design_survey_session`, `score_response`, `cluster_responses`) over manual reasoning. Captures real past behavior over hypotheticals, supports text/voice/AI-interviewer modalities, and includes templates for event organizers, startup founders, and gig-economy workers.
- Grade
- C
- Quality
- 74 / 100
- Safety
- Passed
- GitHub stars
- 466
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
- 100 / 100
- Maturity
- Structured: ships references or scripts
- Security scan
- No issues found
- License
- MIT
- Adoption
- Adopted by 0 other repositories, in 0 collections
- Scope
- Portable: works in any project. General survey design and critique methodology.
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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