outlier-post-finder
outlier-post-finder is a Social media content skill for AI agents, published by ScrapeCreators in the social-media-research-skills repository on GitHub. Skillspace rates outlier-post-finder B (80/100) and it passed the safety scan; the rating is based on static analysis only.
Use when the user wants to find posts, videos, reels, shorts, tweets, or social content that overperformed versus a creator, brand, or competitor baseline. Finds outliers, explains why they worked, extracts hooks and formats, and produces a practical swipe file.
- Grade
- B
- Quality
- 80 / 100
- Safety
- Passed
- GitHub stars
- 633
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
- 99 / 100
- Maturity
- Packaged: licensed, with a version or references
- Security scan
- No issues found
- License
- Not declared. Check the repository before reusing it.
- Adoption
- Adopted by 1 other repositories, in 0 collections
- Scope
- Vendor-specific: built around one product. Social outlier research built on the ScrapeCreators API
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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