competitor-social-research
competitor-social-research is a Competitive intelligence skill for AI agents, published by ScrapeCreators in the social-media-research-skills repository on GitHub. Skillspace rates competitor-social-research B (80/100) and it passed the safety scan; the rating is based on static analysis only.
Use when the user wants to research competitors' social media strategy, compare brands or creators, find what content is working in a niche, identify content gaps, or produce a practical social strategy brief from public social data.
- 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
- Portable: works in any project. Generic competitor social-media research 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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