relevance-coarse-filter
relevance-coarse-filter is a PR & communications skill for AI agents, published by elvisun in the newsjack repository on GitHub. Skillspace rates relevance-coarse-filter D (65/100) and it passed the safety scan; the rating is based on static analysis only.
Cheap, high-recall first-pass filter that removes obvious junk from a detector candidate pool before expensive story-origin research and PR judgment. Decides keep, monitor_only, or reject — never ranks, writes angles, verifies dates, or decides whether to pitch.
- Grade
- D
- Quality
- 65 / 100
- Safety
- Passed
- GitHub stars
- 600
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
- Basic: a single SKILL.md
- 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. One stage inside this repo's newsjacking 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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