ClawHub

Ai Ops Outreach

v1.0.0

Generate personalized cold outreach messages for AI Operations clients. Based on Reddit research showing "AI ops managed services" is more valuable than "AI...

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MIT-0
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LicenseMIT-0 · Free to use, modify, and redistribute. No attribution required.
Security Scan
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Benign
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Benign
high confidence
✓
Purpose & Capability
Name/description describe generating personalized outreach. The included Python script and SKILL.md are consistent with that purpose and do not request unrelated resources or permissions.
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Instruction Scope
SKILL.md restricts itself to composing messages, follow-up cadence, discovery questions, and instructs running the local script. It does not instruct reading unrelated files, accessing system credentials, or sending data to external endpoints. The lone caution about using environment variables for credentials is advisory and not required by the skill.
✓
Install Mechanism
No install spec — instruction-only with a small included Python script. Nothing is downloaded or written to disk by an installer; running the script is optional and local.
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Credentials
The skill declares no required env vars or credentials. SKILL.md mentions 'use environment variables for credentials' as best practice (advisory). If you later integrate this with an email-sending service, only provide narrowly scoped per-service credentials.
✓
Persistence & Privilege
always is false, no persistent installation or modification of agent/system configs, and the skill does not request elevated privileges or persistent presence.
Assessment
This skill appears coherent and low-risk: it generates templated outreach locally. Before using it in production, review and personalize each message, and comply with anti-spam (CAN-SPAM, GDPR) and privacy rules for unsolicited contacts. If you connect the skill to an email service later, use a dedicated, minimally scoped API key or account, verify addresses before sending, throttle sends to avoid blacklisting, and store/send credentials safely (not embedded in messages). Finally, inspect/preview generated output to ensure no accidental leaking of sensitive data before sending.

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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