opc-case-research
opc-case-research is a Market & industry research skill for AI agents, published by cellinlab in the cell-skills repository on GitHub. Skillspace rates opc-case-research C (71/100) and it passed the safety scan; the rating is based on static analysis only.
Systematic public-information research for OPC, super-individual, creator IP, and one-person business cases, with Chinese outputs focused on content strategy, IP positioning, channel strategy, business models, timelines, and replicable lessons. Use when Codex needs to research a named person, creator brand, or one-person company case; produce a case brief or structured report; map sources and evidence; compare facts versus inferences; or turn scattered public materials into a reusable research deliverable.
- Grade
- C
- Quality
- 71 / 100
- Safety
- Passed
- GitHub stars
- 27
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 1 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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