cold-email
v1.0.0When the user wants to write, improve, or build a sequence of B2B cold outreach emails to prospects who haven't asked to hear from them. Use when the user me...
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byAlireza Rezvani@alirezarezvani
MIT-0
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LicenseMIT-0 · Free to use, modify, and redistribute. No attribution required.
Security Scan
OpenClaw
Benign
high confidencePurpose & Capability
Name/description (cold outreach copy + sequences) align with the included SKILL.md guidance and the provided email_sequence_analyzer.py script. The skill requires no external credentials, binaries, or installs that would be unrelated to drafting or analyzing cold emails.
Instruction Scope
Runtime instructions are narrowly focused on composing and improving cold-email sequences. They explicitly ask the agent to read marketing-context.md if present and to review provided sequence performance data when offered. This is coherent with the skill's purpose, but note the skill explicitly expects to read any local marketing-context.md or sequence JSON you supply.
Install Mechanism
No install spec is present (instruction-only), and the single included script is standard Python using only the stdlib. There are no downloads from external URLs or package installs in the manifest.
Credentials
The skill declares no required environment variables, no primary credential, and no config paths. The code and instructions do not reference secrets or unrelated services, so requested access is proportionate.
Persistence & Privilege
always is false and model invocation is normal. The skill does not request permanent system presence or modifications to other skills or agent-wide settings.
Assessment
This skill appears coherent for writing and analyzing cold outreach; it does not request credentials or make network calls. Before installing or running it: (1) don't place sensitive credentials, API keys, or private customer data in marketing-context.md or any sequence JSON you provide—the skill expects to read those files; (2) review any recipient lists you plan to analyze (avoid including personal data or unconsented addresses); (3) the included deliverability/legal guidance is helpful but not legal advice—ensure your outreach complies with CAN-SPAM, GDPR, CASL, etc.; (4) if you want extra assurance, open and review scripts/email_sequence_analyzer.py locally (it uses only stdlib and appears to perform static text checks) before allowing the agent to execute them.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.