competitor-ad-research
competitor-ad-research is a Competitive intelligence skill for AI agents, published by sandbaseai in the sandbase-skills repository on GitHub. Skillspace rates competitor-ad-research C (74/100) and it passed the safety scan; the rating is based on static analysis only.
Research competitor advertising strategies through Facebook Ad Library, Google SERP ads, and social media sponsored content. Covers creative analysis, messaging patterns, targeting signals, and campaign frequency for competitive marketing intelligence.
- Grade
- C
- Quality
- 74 / 100
- Safety
- Passed
- GitHub stars
- 112
Unproven: rated by static analysis only, not yet compared head-to-head.
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
- Structured: ships references or scripts
- Security scan
- No issues found
- License
- Not declared. Check the repository before reusing it.
- Adoption
- Adopted by 0 other repositories, in 0 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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