skills/ilang-ai/autocode/full-review/Gen Agent Trust Hub

full-review

Pass

Audited by Gen Agent Trust Hub on Apr 7, 2026

Risk Level: SAFEPROMPT_INJECTIONCOMMAND_EXECUTION
Full Analysis
  • [PROMPT_INJECTION]: The skill utilizes directive language such as "MOST IMPORTANT. NEVER SKIP." and "PRIORITY:highest" to override the agent's standard instruction prioritization and ensure the skill's workflow is always executed.
  • [COMMAND_EXECUTION]: The skill includes instructions to execute Git operations via shell commands, specifically for committing changes with human-readable messages.
  • [INDIRECT_PROMPT_INJECTION]: The skill's primary function involves reading the "entire codebase" and "every file," which exposes the agent to untrusted data that could contain malicious instructions.
  • Ingestion points: [READ:entire-codebase] and [CHECK:every-file] in SKILL.md triggers the reading of all files in the current environment.
  • Boundary markers: Absent; the skill does not define delimiters or provide instructions to treat the codebase content as untrusted data.
  • Capability inventory: The agent is instructed to perform Git commits and write to a local persistence file (.autocode/memory.md).
  • Sanitization: Absent; there is no mention of filtering or escaping content ingested from the codebase before processing or "learning" from it.
  • [DATA_EXPOSURE]: The "learn" step ([STEP4:learn]) explicitly instructs the agent to record user preferences, communication styles, and mistakes. While this data is stored in a local file (.autocode/memory.md), it constitutes behavioral profiling of the user.
Audit Metadata
Risk Level
SAFE
Analyzed
Apr 7, 2026, 01:26 AM
Security Audit — agent-trust-hub — full-review