maintain-product

Pass

Audited by Gen Agent Trust Hub on Aug 22, 2026

Risk Level: SAFE
Full Analysis
  • [SAFE]: The skill serves as a guide for software maintenance and performance optimization, documenting industry-standard practices such as reproduction-driven repair and runtime performance measurement.
  • [EXTERNAL_DOWNLOADS]: Includes a documentation link to an external methodology source on GitHub (github.com/MengTo/Skills) for lineage and historical context. This is a static reference and does not trigger automated downloads or code execution.
  • [INDIRECT_PROMPT_INJECTION]: The skill describes workflows that involve ingesting external data such as bug reports, reproduction scenarios, and performance symptoms.
  • Ingestion points: Processes external symptoms, inputs, and environment data as described in the repair loop (references/reproduction-driven-repair.md).
  • Boundary markers: Recommends the use of sanitized and synthetic fixtures to protect data during reproduction.
  • Capability inventory: The workflow utilizes local development tools including compilers, test runners, and performance profilers.
  • Sanitization: Emphasizes the use of isolated tests and synthetic data fixtures to maintain security boundaries.
Audit Metadata
Risk Level
SAFE
Analyzed
Aug 22, 2026, 03:31 AM
Security Audit — agent-trust-hub — maintain-product