gtm-intake

Fail

Audited by Gen Agent Trust Hub on Nov 1, 2026

Risk Level: HIGHCREDENTIALS_UNSAFEEXTERNAL_DOWNLOADSREMOTE_CODE_EXECUTIONDATA_EXFILTRATIONINDIRECT_PROMPT_INJECTION
Full Analysis
  • [CREDENTIALS_UNSAFE]: The skill explicitly instructs the agent to access and use the linkedin_li_at session cookie from the user's configuration (userConfig.linkedin_li_at). This cookie provides full authenticated access to the user's LinkedIn account.
  • [DATA_EXFILTRATION]: The sensitive LinkedIn session cookie is passed to external third-party services (Apify) to facilitate scraping. This creates a high risk of credential exfiltration if the target scripts are malicious or become compromised.
  • [EXTERNAL_DOWNLOADS]: The skill relies on several community-contributed scripts (Apify actors) whose source code is managed by third parties: scrapemint/linkedin-company-employees-scraper, harvestapi/linkedin-company-employees, and tri_angle/similarweb-scraper. These represent unverifiable external dependencies.
  • [REMOTE_CODE_EXECUTION]: By instructing the agent to invoke specific third-party Apify actors, the skill triggers the execution of remote code on the Apify platform.
  • [INDIRECT_PROMPT_INJECTION]: The skill is designed to scrape and extract "verbatim" phrases from arbitrary external websites.
  • Ingestion points: External IT agency websites provided as arguments.
  • Boundary markers: None. The skill does not provide instructions to use delimiters or ignore embedded instructions in the scraped content.
  • Capability inventory: The skill has significant capabilities, including network access (WebFetch/Apify) and the ability to write data to a persistent Notion page.
  • Sanitization: Absent. There is no evidence of filtering or escaping logic for the scraped data, allowing malicious instructions on a target website to potentially influence the agent's logic or poison the resulting Notion database.
Recommendations
  • AI detected serious security threats
Audit Metadata
Risk Level
HIGH
Analyzed
Nov 1, 2026, 03:56 PM