distributed-systems

Pass

Audited by Gen Agent Trust Hub on Sep 19, 2026

Risk Level: SAFEEXTERNAL_DOWNLOADSDYNAMIC_EXECUTIONCOMMAND_EXECUTIONINDIRECT_PROMPT_INJECTION
Full Analysis
  • [EXTERNAL_DOWNLOADS]: The skill templates reference well-known Python packages: redis, sqlalchemy, fastapi, pydantic, tiktoken, and uuid-utils. These are standard libraries for distributed systems and API development.
  • [DYNAMIC_EXECUTION]: Static analysis identified an eval() call in scripts/distributed-lock-template.py. Analysis confirms this is a method call on a Redis client object used to execute hardcoded Lua scripts for atomic locking operations, which is a secure and standard practice.
  • [COMMAND_EXECUTION]: SQL interactions in scripts/distributed-lock-template.py and scripts/idempotency-middleware-template.py use parameterized queries via SQLAlchemy's text() function, protecting against SQL injection during advisory lock and idempotency record management.
  • [INDIRECT_PROMPT_INJECTION]: The skill possesses an attack surface as it ingests untrusted data. 1. Ingestion points: WebFetch and WebSearch tools (SKILL.md). 2. Boundary markers: Absent in prose-heavy templates. 3. Capability inventory: File reading and network search (SKILL.md). 4. Sanitization: The skill uses cryptographic hashing (SHA-256) to sanitize inputs for idempotency keys.
Audit Metadata
Risk Level
SAFE
Analyzed
Sep 19, 2026, 05:19 PM
Security Audit — agent-trust-hub — distributed-systems