linkedin is a Prospecting & lead research skill for AI agents, published by unifapi-agent in the agents repository on GitHub. Skillspace rates linkedin C (71/100) and it passed the safety scan; the rating is based on static analysis only.
When a workflow needs public LinkedIn data through UnifAPI — company pages, follower/employee counts, open jobs and job-count, member insights, people, posts, or engagement. Also use on "research this company on LinkedIn," "who works at," "open roles at," "LinkedIn profile for," "company posts," or when another skill (account research, news signal, buying signal, competitor profiling) needs the deterministic LinkedIn read path. Connect via the `unifapi` skill first. Read-only research, never connects or messages.
- Grade
- C
- Quality
- 71 / 100
- Safety
- Passed
- GitHub stars
- 567
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
- 94 / 100
- Maturity
- Basic: a single SKILL.md
- 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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