autonomous
Pass
Audited by Gen Agent Trust Hub on Aug 25, 2026
Risk Level: SAFE
Full Analysis
- [INDIRECT_PROMPT_INJECTION]: The agent is designed to process tasks (vimarshas) and messages from an external inbox and channel, which constitutes an ingestion surface for untrusted data.\n
- Ingestion points: Data enters the agent's context through the repository's vimarsha inbox and the live communication channel (SKILL.md).\n
- Boundary markers: The instructions mandate that agents 'grasp' the neighborhood of a task and use 'reality-audit' to verify results independently of the implementer's narrative.\n
- Capability inventory: The agent can perform git operations (commit, push, merge), modify internal graph nodes via nks_* tools, and interact with socket-based channels.\n
- Sanitization: The skill requires 'Answered when' criteria for tasks and mandates that destructive actions or transcendent will require explicit human sanction.\n- [PERSISTENCE_MECHANISMS]: The skill implements an autonomous 'watch' cycle designed to maintain agent activity over time.\n
- The agent is instructed to use webhooks and recurring polling to trigger its work tacts.\n
- It maintains a live socket connection to ensure responsiveness to incoming messages.\n
- These persistence mechanisms are the core intended functionality of the skill and do not serve a malicious purpose.\n- [DATA_EXPOSURE_AND_EXFILTRATION]: The skill includes guidelines for managing socket URLs, which function as credentials.\n
- It warns that whoever holds the socket can read messages addressed to the agent and provides advice on secure connection management and rotation.
Audit Metadata