linkedin

Pass

Audited by Gen Agent Trust Hub on Oct 18, 2026

Risk Level: SAFEEXTERNAL_DOWNLOADSCOMMAND_EXECUTIONCREDENTIALS_UNSAFEINDIRECT_PROMPT_INJECTIONDYNAMIC_EXECUTION
Full Analysis
  • [EXTERNAL_DOWNLOADS]: The skill requires the installation of a third-party NPM package @linkedapi/linkedin-cli. This introduces a dependency on external code from a source that is not listed in the recognized trusted organizations.
  • [COMMAND_EXECUTION]: The skill's core functionality is built around shell commands that interact with the LinkedIn automation CLI, covering operations from data retrieval to account actions.
  • [CREDENTIALS_UNSAFE]: The setup instructions prompt the user to provide API and identification tokens as plain-text command-line arguments. This practice can expose sensitive credentials in shell logs, command history, or process monitoring tools.
  • [DYNAMIC_EXECUTION]: The linkedin workflow run command allows for the execution of action sequences defined in a JSON workflow format, which introduces a form of dynamic orchestration and logic execution.
  • [INDIRECT_PROMPT_INJECTION]: The skill exhibits an attack surface for indirect prompt injection due to its handling of untrusted external data in conjunction with high-impact capabilities.
  • Ingestion points: Fetches profile data, private messages, and post content from LinkedIn via person fetch, message get, and post fetch commands as documented in SKILL.md and EXTENDED.md.
  • Capability inventory: The skill enables high-impact write operations, including sending messages, connection requests, and creating posts, as well as executing workflows.
  • Boundary markers: There are no explicit delimiters or specific instructions provided to the agent to treat fetched social media data as untrusted or to ignore any embedded instructions.
  • Sanitization: The skill does not describe any sanitization, validation, or filtering mechanisms for the data retrieved from LinkedIn before it is presented to the agent's context.
Audit Metadata
Risk Level
SAFE
Analyzed
Oct 18, 2026, 12:45 PM