fullenrich-content-engagers
fullenrich-content-engagers is a Prospecting & lead research skill for AI agents, published by Othmane-Khadri in the YALC-the-GTM-operating-system repository on GitHub. Skillspace rates fullenrich-content-engagers B (81/100) and it passed the safety scan; the rating is based on static analysis only.
Use when the user says "enrich people who engaged with this post", "qualify post engagers with FullEnrich", "scrape and enrich LinkedIn post {URL}", "engagers from this post into a CSV", "enrich this CSV of leads", "FullEnrich content engagers", or any variant indicating they want to convert a list of leads — either LinkedIn post likers/commenters scraped via Unipile, or a bring-your-own CSV — into ICP-qualified, enriched leads via FullEnrich v2 bulk enrichment with webhook callback delivery.
- Grade
- B
- Quality
- 81 / 100
- Safety
- Passed
- GitHub stars
- 259
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
- 100 / 100
- Maturity
- Structured: ships references or scripts
- Security scan
- No issues found
- License
- MIT
- Adoption
- Adopted by 0 other repositories, in 0 collections
- Scope
- Vendor-specific: built around one product. Built on the public FullEnrich and Unipile services
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
Skillspace indexes and rates this skill; it does not host or endorse it. Run third-party skills at your own risk.