finding-data-scientists-on-twitter@1.0.0
CAUTION· static onlyPublisher claims: "Finds data scientists and ML engineers to recruit using apidojo's Twitter scrapers on Apify. Triggers when the user asks to: find data scientists on Twitter for recruiting, discover machine learning engineers or AI researchers to hire from X, find data analysts or ML practitioners by specialization on Twitter, identify NLP computer vision or LLM engineers via social signals, find data science professionals open to work on Twitter, build a data science talent pipeline from social, or find researchers posting about job opportunities. Returns handle, name, ML specialty (from bio/tweets), stack (Python/R/TensorFlow), follower count, and open-to-work signals. Ideal for ML engineering hiring managers, AI research labs, and data-driven startups." Observed in sandbox: static analysis only — behavior not yet observed.
Coverage
Static only; nothing was run yet.The label rests on the code, the instruction files and the publisher. The honeypot run replaces this verdict when it completes.
Is [email protected] safe to install?
KillerSkills analysed it statically (a sandbox run is pending) on 2026-11-07 and scored it 67/100 (Caution). It is not known to be malicious, but it has behaviour or code a security policy should decide on before install. Notable findings: Access to sensitive file paths. Summary: static analysis only — behavior not yet observed.
Behavior trace
Queued for honeypot run · static analysis onlyThis version has not been detonated yet. The score above counts behavior as unknown (50/100), so it cannot read Verified until the honeypot run completes and replaces this verdict.
Static findings
> `APIFY_TOKEN` must be set in environment or `.env` file.Fix: Stop enumerating or reading credential locations; take secrets from a declared environment variable the user sets on purpose.No other findings across 220 lines in 2 files.
Cost to the agent
Tokens estimated at four characters each. Skills load their instruction text when triggered; the figure is what that costs.
Known vulnerabilities
Vulnerability advisories (OSV) cover npm and PyPI packages; this registry has no advisory database.
What would make this Verified
13 points to 80 · weights: behavior 45%, static 25%, prompt 15%, publisher 15%- Unclaimed publisher≈ +8 on the totalClaim apidojo-io: a verified publisher gets +50 on publisher trust. It is free and usually instant with GitHub sign-in.
- Access to sensitive file paths≈ +4 on the totalStop enumerating or reading credential locations; take secrets from a declared environment variable the user sets on purpose.