who-is-this

Original：🇺🇸 English
Translated

Deep-scrape a person across X, LinkedIn, GitHub, and the open web to judge if they are legit. Manual-only; invoke with /who-is-this. Use when the user says who-is-this, "who is this", "who is this guy", "research this person", "are they legit", "vet this founder", or drops a profile screenshot. Differentiator vs twitter-alpha: one-person background check, not a 7-person idea list. Differentiator vs deep-research: platform scrapes plus a short verdict, not a long cited memo.

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NPX Install

npx skill4agent add davidondrej/skills who-is-this

Tags

Translated version includes tags in frontmatter
person-background-checkdeep-scrapingAI-agentDeepAPIidentity-verification

SKILL.md Content

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who-is-this

Figure out who a person is and whether their story holds.
Read the 
deepapi
skill first. All search and scraping goes through DeepAPI. Never use built-in search, fetch, or a browser.

Seed

Need a person. A name, handle, URL, or profile screenshot is enough.
If missing, ask once. Do not guess a different person.
Verify identity before going deep. Bio, company, location, and photo must match. If two people share the name, stop and ask.

Research

Find their X, LinkedIn, and GitHub first (dedicated endpoints, not 
site:
search). Then run these in parallel:
  1. GitHub activity. 
    POST /v1/scrape/github/profile
    with 
    includeRepos: true
    , plus recent PRs (
    POST /v1/scrape/github/search
    , 
    type: "pulls"
    , 
    query: "author:<username>"
    , 
    sort: "updated"
    ).
  2. Last 10 LinkedIn posts. 
    POST /v1/scrape/linkedin/posts
    , 
    maxItems: 10
    . Also scrape the LinkedIn profile if you have the slug.
  3. Deep research. 
    POST /v1/research/deep
    on who they are, what they have actually done, and whether the public story holds.
  4. 50 newest X posts. 
    POST /v1/scrape/twitter/search
    with the handle, 
    sort: "latest"
    , 
    maxItems: 50
    . Also pull 
    POST /v1/scrape/twitter/user
    .
Follow DeepAPI polling. If a platform is missing or private, say so. Do not invent a profile.

What to extract

Scrape wide, report narrow. From everything you pulled, keep only the 3 facts that explain who this person is. Drop the rest — a full CV is a failure, not thoroughness.
Rules:
  • Real track record beats bio. Jobs, products, exits, code, talks.
  • Self-reported numbers stay labeled "their claim". Verified numbers say "verified".
  • Note what they actually post about only if it changes the verdict.
  • Name the honest archetype: builder, marketer, operator, researcher, grifter, investor, recruiter, hobbyist, etc. Pick the one that is true in practice, not the one in their bio.
Ignore congrats, logo spam, paid "king of X" press, and follower-count flexing.

Output

Hard cap: 100 words after the header line. Plain English. Short sentences. No tables. No sub-bullets. No tweet dumps. No research narration. No "I found" / "I scraped".
markdown
**Full name** — [@handle](https://x.com/handle) · [LinkedIn](url) · [GitHub](url) · [Site](url)

**Who:** One sentence. Where they are and what they do now.

**Track record:** Max 3 bullets. Only what explains who they are. Dates. Label claims vs verified.

**Verdict:** One line. The archetype, whether the story holds, and why.
Example of the right length (fictional):
markdown
**Jane Doe** — [@janedoe](https://x.com/janedoe) · [LinkedIn](https://linkedin.com/in/janedoe) · [GitHub](https://github.com/janedoe)

**Who:** Berlin solo founder of Acme, an open-source Postgres proxy. Writes 90% of the commits herself.

**Track record:**
- 2024–now: Founder, Acme. 2.1K stars (verified), no funding, no revenue (her own post).
- 2019–2024: Backend engineer at Zalando and N26.
- "50K users" is her claim; nothing backs it.

**Verdict:** Solo builder, not a company yet. Real code, honest numbers, one unproven user claim.
Omit a missing profile link instead of faking it.
Follow-ups: answer in 1–3 sentences. Do not re-run the scrape unless the first pass missed that platform.