do-issue

Warn

Audited by Gen Agent Trust Hub on May 12, 2026

Risk Level: MEDIUMDATA_EXFILTRATIONPROMPT_INJECTIONCOMMAND_EXECUTION
Full Analysis
  • [DATA_EXFILTRATION]: The 'Tooling Reflection' mechanism in modules/completion.md instructs the agent to post learnings about its own operations and context to a public forum (https://github.com/athola/claude-night-market/discussions). This could result in the unintended disclosure of internal project details, environment metadata, or proprietary workflow information.
  • [PROMPT_INJECTION]: The skill retrieves and processes untrusted content from issue trackers (modules/issue-discovery.md) to define subagent tasks, creating an indirect prompt injection surface.
  • Ingestion points: External data enters through issue bodies and comments via gh issue view or glab issue view.
  • Boundary markers: There are no instructions to use delimiters or ignore instructions within the fetched issue text.
  • Capability inventory: The skill dispatches autonomous subagents with permissions to modify files, run tests, and commit code (modules/parallel-execution.md).
  • Sanitization: No validation is performed on issue content before it is converted into executable task plans.
  • [COMMAND_EXECUTION]: The workflow relies on significant system-level capabilities, including shell command execution (gh, glab, git) and the creation of background agent teams, which could be misused if the agent's instructions are hijacked.
Audit Metadata
Risk Level
MEDIUM
Analyzed
May 12, 2026, 08:35 PM