lov-gen-project-name

Pass

Audited by Gen Agent Trust Hub on Oct 18, 2026

Risk Level: SAFEDATA_EXFILTRATIONCOMMAND_EXECUTIONINDIRECT_PROMPT_INJECTION
Full Analysis
  • [DATA_EXFILTRATION]: The skill manages a local user profile file (typically in ~/.config/agent-skills/profile.json) using the scripts/profile_store.py utility. This script includes a safety mechanism to prevent the persistence of sensitive keys such as tokens, passwords, and API keys.
  • [COMMAND_EXECUTION]: The skill uses local Python scripts for specific tasks: scripts/profile_store.py is used to read and write user preferences and brand identity facts, while scripts/validate_skill.py is used for linting and validating the skill structure. These scripts operate within standard user permissions.
  • [INDIRECT_PROMPT_INJECTION]: The skill processes user-provided project descriptions to generate naming recommendations. It has the following profile regarding indirect injection risks:
  • Ingestion points: Project purpose, audience, and language requirements are parsed from the natural language request (SKILL.md).
  • Boundary markers: The execution boundary instructions explicitly direct the agent to parse specific project facts and protect existing uncommitted content.
  • Capability inventory: The skill can perform file writes to its local profile via scripts/profile_store.py.
  • Sanitization: The profile_store.py script filters for secret-like keywords (token, password, api_key, etc.) and requires a --confirm flag for writing data, ensuring user oversight.
Audit Metadata
Risk Level
SAFE
Analyzed
Oct 18, 2026, 04:28 PM