industry-friction-radar
industry-friction-radar is a Market & industry research skill for AI agents, published by neomjs in the neo repository on GitHub. Skillspace rates industry-friction-radar C (74/100) and it passed the safety scan; the rating is based on static analysis only.
Proactive Bleeding-Edge research loop using a strict 3-step abstraction protocol to extract engine-category friction points without importing framework-category bias or stealing code. Triggers: Use this skill when executing periodic "horizon scans" for the Dream Pipeline, researching external solutions to deeply complex engine-level friction points, or evaluating JS ecosystem trends.
- Grade
- C
- Quality
- 74 / 100
- Safety
- Passed
- GitHub stars
- 3,234
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: a model that read it found it written only for the repository it lives in. 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.
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
- Repo-internal: written for the repository it lives in. Requires neo repo's own .agents references and Dream Pipeline
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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