ClawHub

LinkedIn Lead Gen Outreach

v1.0.0

Lightweight LinkedIn prospecting and outreach workflow for researching qualified leads, applying simple prioritization, drafting concise personalized message...

⭐ 0· 80·0 current·0 all-time
by@gaelbuenobarthe
MIT-0
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LicenseMIT-0 · Free to use, modify, and redistribute. No attribution required.
Security Scan
VirusTotalVirusTotal
Benign
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OpenClawOpenClaw
Benign
high confidence
✓
Purpose & Capability
Name and description describe prospect research, scoring, messaging, and exports; included Python scripts implement CSV building, sheet normalization, and simple dashboard stats which directly support those claims.
✓
Instruction Scope
SKILL.md confines actions to visible LinkedIn data, user-provided information, manual review, scoring, message drafting, and exporting. It explicitly warns not to invent facts and not to bypass platform safeguards. It does not instruct reading system secrets or contacting external endpoints.
ℹ
Install Mechanism
There is no install spec (lowest risk) and the bundled Python scripts are small, local utilities with no network behavior. One minor mismatch: the skill declares no required binaries, yet the scripts are Python executables (shebangs) and assume a Python runtime is available; this is expected but worth noting.
✓
Credentials
The skill requests no environment variables or credentials, and the scripts do not access secrets or external services. The requested scope is proportional to its functionality.
✓
Persistence & Privilege
always is false, the skill does not request persistent system privileges, and it does not modify other skills or system-wide agent settings.
Assessment
This skill appears internally coherent and the scripts are simple CSV/sheet utilities without network calls or secret access. Before installing, (1) confirm you are comfortable granting the agent permission to run bundled Python scripts and that a Python runtime is available, (2) inspect the scripts locally (they are short and easy to review), and (3) follow LinkedIn's terms of service and privacy rules — do not automate messaging or scraping that violates platform policies. If you plan to allow autonomous invocation, be mindful that the agent could run these scripts without further prompts; require a human review step before sending outreach.

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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