skills
anthropics
Public repository for Agent Skills
cookiy-ai/user-research-skill
user-research-skill is a tool for DeepSeek Harness. Cookiy AI Skill for AI agents (Claude, Codex, Cursor, OpenClaw) — end-to-end user research: AI interviews, synthetic users, quant surveys, participant recruitment.

REVIEW SCORECARD
✓ 无Risky检出 · 自动化扫描结果仅供参考,非官方背书
AI DEEP REVIEW
A well-documented, actively maintained user-research skill with real utility, but security and code quality can't be ful
README shows structured multi-platform install flows and a five-phase synthesis pipeline, but no tests, CI badges, or source structure are visible, so rigor is only partially evidenced.
Installation requires enabling network egress and allowlisting s-api.cookiy.ai, plus an npx cookiy-ai command that downloads and executes code, but no secrets or excessive permissions are shown, so risk is moderate and partly unverifiable.
The skill addresses a genuine, common pain point by letting agents plan, run, and synthesize qualitative interviews and quantitative surveys with real or synthetic participants.
Last updated 2026-08-19, not archived, MIT-licensed, and the README documents an auto-update mechanism, indicating active ongoing maintenance.
README provides clear per-platform install steps (Claude Cowork, Chat Desktop, Claude Code, Codex/Cursor/OpenClaw), usage examples, and capability tables, though the generic install command is listed as unknown.
Generated by AI after reading the project README, as a decision aid; neutral scores are given when information is thin. Not an official endorsement.
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Cookiy AI Skill for AI agents (Claude, Codex, Cursor, OpenClaw) — end-to-end user research: AI interviews, synthetic users, quant surveys, participant recruitment.
user-research-skill has 1,536 stars and 58 forks on GitHub, last updated 2026-08-19.
user-research-skill is distributed under the MIT license.
user-research-skill is listed in the DSH Universe directory as a tool for DeepSeek Harness. This plugin is listed in the DSH Universe directory and covered by its validation pipeline.
CLASSIFICATION EVIDENCE
System reads GitHub Topics first, then compares against the in-site category dictionary and word-root rules. Current match:ai-skill、skill、skills。