skills/connorads/dotfiles/dogfood/Gen Agent Trust Hub

dogfood

Pass

Audited by Gen Agent Trust Hub on Mar 10, 2026

Risk Level: SAFEPROMPT_INJECTIONCOMMAND_EXECUTION
Full Analysis
  • [PROMPT_INJECTION]: Indirect Prompt Injection Attack Surface
  • Ingestion points: The skill ingests untrusted data from the target web application through several commands, including agent-browser snapshot -i (retrieves DOM structure), agent-browser console, and agent-browser errors (SKILL.md).
  • Boundary markers: The skill lacks explicit boundary markers or instructions for the agent to ignore or isolate instructions that may be embedded within the target website's HTML, metadata, or console logs.
  • Capability inventory: The agent has extensive interaction capabilities via agent-browser (e.g., click, fill, type, navigate) and local file system access through Bash (mkdir, cp). If manipulated by a malicious website, the agent could be coerced into performing unintended actions like exfiltrating session data or navigating to phishing domains.
  • Sanitization: No sanitization or validation logic is applied to the content retrieved from the web browser before the agent interprets it to determine next steps in the "Explore" workflow.
  • [COMMAND_EXECUTION]: Local File System Operations
  • The skill executes mkdir and cp commands to set up the report structure. While these are necessary for the skill's primary purpose, they rely on variables like {OUTPUT_DIR} and {SESSION}. If these variables are influenced by untrusted external input (e.g., a malicious URL slug), they could be used for directory traversal or localized file overwrites.
  • [DATA_EXFILTRATION]: Handling of Sensitive Session Data
  • The skill is designed to handle user authentication ({EMAIL}, {PASSWORD}) and explicitly saves session state to a local file (auth-state.json). It also generates screenshots and videos of the application state. Users should be aware that this sensitive information remains in the specified {OUTPUT_DIR} after the session concludes.
Audit Metadata
Risk Level
SAFE
Analyzed
Mar 10, 2026, 10:43 AM