contact-extractor
contact-extractor is a Prospecting & lead research skill for AI agents, published by noique in the cross-border-ecommerce-skills repository on GitHub. Skillspace rates contact-extractor C (74/100) and it passed the safety scan; the rating is based on static analysis only.
Multi-source contact email extraction for KOL / media prospect rows. Given a CSV with personal_site / youtube / podcast_apple columns (e.g. output of linktree-expander or media-press-discovery), enrich each row with up to 3 ranked candidate emails + source label + confidence tier (high/medium/low/none). Triggers on "find contact email", "extract email from creator profile", "deep dig contact info", "enrich KOL contacts".
- Grade
- C
- Quality
- 74 / 100
- Safety
- Passed
- GitHub stars
- 42
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
- 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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