performing-open-coding
performing-open-coding is a User interviews & surveys skill for AI agents, published by ptreezh in the sscisubagent-skills repository on GitHub. Skillspace rates performing-open-coding C (77/100) and it passed the safety scan; the rating is based on static analysis only.
当用户需要执行扎根理论的开放编码，包括中文质性数据的概念识别、初始编码、持续比较和备忘录撰写时使用此技能。
- Grade
- C
- Quality
- 77 / 100
- Safety
- Passed
- GitHub stars
- 21
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
- 94 / 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. Generic grounded-theory qualitative coding 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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