Marketing Demand Acquisition
v2.1.1Creates demand generation campaigns, optimizes paid ad spend across LinkedIn, Google, and Meta, develops SEO strategies, and structures partnership programs...
⭐ 5· 1.9k·11 current·11 all-time
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 (demand gen, paid media, SEO, partnerships) align with the content of SKILL.md and the included campaign/reference documents. The single Python script implements a simple CAC calculator which is appropriate for the skill's stated analytics needs.
Instruction Scope
SKILL.md contains procedural instructions for campaign setup, tracking, and validation (HubSpot, GA4, pixels). These refer to integrating with marketing platforms as expected and do not instruct the agent to read unrelated system files, search user files, or exfiltrate data to unknown endpoints. References to validating tags/events imply the user or agent will use their own platform accounts — expected for this domain.
Install Mechanism
No install spec is present (instruction-only), and the only code file is a small local Python script. There are no downloads, third-party package installs, or archive extraction steps that would write arbitrary code to disk.
Credentials
The skill does not declare or require any environment variables, credentials, or config paths. While SKILL.md describes integrations (HubSpot, GA4, Google Ads, Meta, LinkedIn), it does not request secrets in metadata or contain code that reads environment credentials.
Persistence & Privilege
The skill is not always-enabled and does not request elevated persistence or modify other skills. Model invocation is allowed (default) but that is normal; there is no evidence of persistent background behavior or cross-skill configuration changes.
Assessment
This skill appears to be a legitimate marketing playbook with reference templates and a simple CAC calculator. Before installing or running: 1) review the included scripts/calculate_cac.py if you plan to execute it and avoid running unreviewed code with production data; it contains only example data and basic calculations. 2) The documentation describes integrating with HubSpot, GA4, and ad platforms — those integrations will require you to supply your own API keys or UI actions; do not paste credentials into chat or the skill unless you trust the operator and know exactly how they will be used. 3) If you give the agent access to platform accounts, verify scopes/permissions and audit activity. Overall this skill is internally coherent, but exercise standard caution when connecting real marketing accounts or executing scripts.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.