ad-library-teardown
ad-library-teardown is a Paid ads & campaigns skill for AI agents, published by ScrapeCreators in the social-media-research-skills repository on GitHub. Skillspace rates ad-library-teardown C (79/100) and it passed the safety scan; the rating is based on static analysis only.
Use when the user wants to analyze active ads from Meta/Facebook, Google, or LinkedIn ad libraries; tear down a competitor's messaging; extract hooks, offers, CTAs, video transcripts, landing page claims, and test ideas from public ads.
- Grade
- C
- Quality
- 79 / 100
- Safety
- Passed
- GitHub stars
- 2,301
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
- 97 / 100
- Maturity
- Packaged: licensed, with a version or references
- Security scan
- No issues found
- License
- Not declared. Check the repository before reusing it.
Not checked yet
- Category is a classifier prediction; no model has read this skill 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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