quantum-error-correction
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Audited by Gen Agent Trust Hub on Jul 8, 2026
Risk Level: MEDIUMPROMPT_INJECTIONNO_CODE
Full Analysis
- [PROMPT_INJECTION]: Deceptive Metadata. The skill's name (
quantum-error-correction) and description (Surface codes and quantum noise mitigation strategies) are inconsistent with the actual content of the reference files, which consists of repetitive, generic software engineering advice regarding circuit breakers, memory management, and eBPF. - [PROMPT_INJECTION]: Indirect Prompt Injection Surface. The reference documents provide code implementations (e.g., the
concurrent_fetchfunction inreferences/architecture-patterns.mdand others) that ingest untrusted data and perform network operations without sanitization or boundary markers. - Ingestion points: The
urlsparameter in theconcurrent_fetchimplementation examples across multiple reference files. - Boundary markers: Absent from implementation snippets.
- Capability inventory: Network GET requests via
aiohttpin Python snippets and stream processing in Rust snippets. - Sanitization: No input validation, URL filtering, or escaping is present in the provided examples.
- [NO_CODE]: This skill does not include any executable script files (e.g., .py, .sh). All logic is provided as markdown text or code blocks intended for documentation purposes.
Audit Metadata