ai-marketing-claude-code-skills

Warn

Audited by Gen Agent Trust Hub on Oct 8, 2026

Risk Level: MEDIUMREMOTE_CODE_EXECUTIONCOMMAND_EXECUTIONEXTERNAL_DOWNLOADSPERSISTENCEINDIRECT_PROMPT_INJECTION
Full Analysis
  • [REMOTE_CODE_EXECUTION]: The skill documentation instructs the agent or user to clone an external repository and execute a shell script (bash scripts/install.sh). Running unverified scripts downloaded from third-party sources is a high-risk operation that could lead to unauthorized code execution.
  • [COMMAND_EXECUTION]: The skill requires various shell commands for setup and management, including file operations (mkdir, cp, chmod) and the execution of conversion tools (scripts/convert.sh).
  • [EXTERNAL_DOWNLOADS]: To function, the skill must download framework definitions and scripts from a GitHub repository (https://github.com/BrianRWagner/ai-marketing-claude-code-skills.git) managed by an external author.
  • [PERSISTENCE]: The skill guides users to store API keys for external services in shell profile files like ~/.bashrc or ~/.zshrc. This ensures the credentials persist across sessions but exposes them to any local process capable of reading these files.
  • [INDIRECT_PROMPT_INJECTION]: Features such as last30days and reddit-insights ingest content from platforms like Reddit, X/Twitter, and YouTube. This introduces a vulnerability where malicious instructions embedded in the external content could manipulate the agent's behavior.
  • Ingestion points: Processes content from Reddit, X/Twitter, and YouTube transcripts via web search and API calls.
  • Boundary markers: The framework description does not mention the use of delimiters or specific instructions to ignore adversarial prompts in the fetched data.
  • Capability inventory: The skill has permissions to execute shell scripts, write to the file system, and initiate network requests.
  • Sanitization: The documentation provides no information regarding the validation, filtering, or escaping of data retrieved from external sources before it is analyzed by the AI model.
Audit Metadata
Risk Level
MEDIUM
Analyzed
Oct 8, 2026, 09:37 PM