General-purpose LinkedIn automation – fetch profiles, search people and companies, send messages, manage connections, create posts, and more. Use when the user wants to interact with LinkedIn.
84%
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High
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W007: Insecure credential handling detected in skill instructions.
What this means
The skill handles credentials insecurely by requiring the agent to include secret values verbatim in its generated output. This exposes credentials in the agent’s context and conversation history, creating a risk of data exfiltration.
Why it was flagged
The skill prompt instructs the agent to ask the user for tokens and pass them via command-line flags (`--linked-api-token=TOKEN --identification-token=TOKEN`), which causes the sensitive secrets to be handled directly by the LLM and embedded in commands.
W011: Third-party content exposure detected (indirect prompt injection risk).
What this means
The skill exposes the agent to untrusted, user-generated content from public third-party sources, creating a risk of indirect prompt injection. This includes browsing arbitrary URLs, reading social media posts or forum comments, and analyzing content from unknown websites.
Why it was flagged
The workflow allows fetching and searching LinkedIn profiles, posts, and messages where the agent actively searches or selects URLs and profiles containing outsider-authored free text.
W012: Unverifiable external dependency detected (runtime URL that controls agent).
What this means
The skill fetches instructions or code from an external URL at runtime, and the fetched content directly controls the agent’s prompts or executes code. This dynamic dependency allows the external source to modify the agent’s behavior without any changes to the skill itself.
Why it was flagged
The skill instructs installation of an npm package from an unverified third-party registry scope (@linkedapi/linkedin-cli), constituting a weak operational external dependency.
- Repository
ArabelaTso/Skills-4-SE
- Revision
4f38503
- Audited
- Security analysis
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