Automatically generate 10 personalized LinkedIn posts and email templates from YouTube videos, tailored to your brand and ready to use.

Do not install or run this skill without reviewing the executable scripts. Specific steps to take before proceeding: - Inspect the contents of linkedin-post-generator, linkedin-research, linkedin-email-template, and quickstart to see what network endpoints they contact and whether they expect credentials or contain hard-coded URLs. - Verify why clawhub.yaml lists an install step and a symlink to /usr/local/bin while the registry metadata reported 'no install spec' — this inconsistency should be resolved by the publisher. - Confirm how email sending is implemented: does it prompt for SMTP/API credentials, use a third-party service, or attempt to send without credentials? Never provide credentials until you understand how they are used and stored. - If you must test, run the scripts in a sandboxed environment (container or VM) and avoid running npm install as root; review package.json and any postinstall scripts. - Prefer obtaining the upstream repository (GitHub URL in package.json) and inspecting a published release or contacting the author to clarify missing details. If you cannot review the scripts, treat the skill as higher-risk because of the undocumented install and outreach behaviors.

Type: OpenClaw Skill Name: linkedin-content-machine Version: 1.0.1 The bundle is a content creation tool designed to repurpose YouTube videos into LinkedIn posts. All provided files, including SKILL.md, clawhub.yaml, and the extensive linkedin-samples.md, contain legitimate instructions and high-quality sample data consistent with the stated purpose. No indicators of malicious intent, data exfiltration, or prompt injection were identified; the installation steps in clawhub.yaml and the package.json scripts are standard for a CLI-based productivity tool.