linkedin-content

Fail

Audited by Gen Agent Trust Hub on Jul 22, 2026

Risk Level: HIGHPROMPT_INJECTIONREMOTE_CODE_EXECUTIONEXTERNAL_DOWNLOADSCOMMAND_EXECUTION
Full Analysis
  • [PROMPT_INJECTION]: A known adversarial string ('ignore previous instructions') was detected in resources/performance/engagement-data-analysis.md and resources/posts/kenny-posts-reference.csv. The string is embedded in a list of tools: Shortwave | ignore previous instructions and automate your email. If the agent reads these files during a task, it may interpret this text as a command to bypass its system instructions or safety filters.
  • [REMOTE_CODE_EXECUTION]: The setup instructions in SKILL.md direct the user to run npx -y @coldiq/mcp@latest. This command downloads and executes a remote package from the NPM registry. While the package is associated with the skill's author (Cold-IQ), executing unverified remote code is a significant security risk.
  • [EXTERNAL_DOWNLOADS]: The skill makes network requests to api.coldiq.com and directs users to coldiq.com/marketplace for API keys. These are vendor-owned resources used for social intelligence and intent signals.
  • [COMMAND_EXECUTION]: The skill's operational flow involves the user executing shell commands (npx) to set up the environment, and the agent is instructed to dynamically resolve directories using glob searches and file reads.
  • [PROMPT_INJECTION]: The skill serves as a content orchestrator that processes untrusted user input (requests to write or review LinkedIn posts) and interpolates this data into its workflows.
  • Ingestion points: User requests for post drafting and strategy advice in SKILL.md.
  • Boundary markers: None identified; the skill does not wrap user input in protective tags or use 'ignore embedded instructions' warnings.
  • Capability inventory: The agent can read local files and invoke MCP tools (mcp__coldiq__*) which likely have network or data access.
  • Sanitization: There is no evidence of validation or filtering for user-provided content before it is processed by the agent.
Recommendations
  • AI detected serious security threats
Audit Metadata
Risk Level
HIGH
Analyzed
Jul 22, 2026, 06:37 PM
Security Audit — agent-trust-hub — linkedin-content