ClawHub

Linkedin Lead Generation

v1.0.0

Search for, research, and verify non-tech founders on LinkedIn to identify high-value prospects for technology services (Web Dev, ERP, CRM, App Dev, SEO, AI). Generates professional PDF reports. Use when asked to find potential clients or leads.

⭐ 6· 1.5k·2 current·2 all-time
byHarsh Maniya@harshhmaniya
MIT-0
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LicenseMIT-0 · Free to use, modify, and redistribute. No attribution required.
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Benign
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Benign
high confidence
✓
Purpose & Capability
Name/description, SKILL.md instructions, and the single helper script all align: the skill searches LinkedIn and company sites, analyzes gaps, and produces an HTML report. No unrelated credentials, binaries, or external installs are requested.
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Instruction Scope
Instructions explicitly tell the agent to use the platform's browser and web_fetch tools to view LinkedIn profiles and company websites — this is within scope. Note: the workflow implicitly relies on a browser session (which may include user cookies/credentials) to view some LinkedIn pages and to filter 2nd-degree connections; the skill does not request LinkedIn credentials itself.
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Install Mechanism
No install spec — instruction-only with a small local Python helper. Nothing is downloaded or written to disk by an installer.
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Credentials
The skill requests no environment variables, credentials, or config paths. That is proportionate for a lead-research/reporting workflow.
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Persistence & Privilege
always:false (default) and autonomous invocation enabled (platform default). This means the skill can be invoked by the agent when eligible — typical for skills. Because it uses the browser tool, consider that the agent may access an active browser session and any associated cookies or credentials.
Assessment
Before installing, consider: (1) This skill browses LinkedIn and company websites — it may rely on an active browser session (cookies/login) to access some profiles; ensure you trust the agent's browser context. (2) The included Python script simply converts prospect JSON to HTML (it prints HTML to stdout) and does not contact external endpoints, but it inserts fields into HTML without escaping — if prospect data is untrusted this could lead to injected HTML/JS when rendered to PDF. Sanitize input or escape HTML before generating PDFs. (3) Scraping LinkedIn may violate LinkedIn's terms of service and raise privacy considerations — ensure your usage and outreach comply with applicable policies and laws. (4) If you plan to allow autonomous runs, review what the agent can access (browser/web_fetch) and whether you want to permit automated scraping and outreach. Overall the skill is internally consistent, but review session exposure and input sanitization before use.

Like a lobster shell, security has layers — review code before you run it.

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License

MIT-0
Free to use, modify, and redistribute. No attribution required.
Termshttps://spdx.org/licenses/MIT-0.html

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