rea-analysis-optimization
Pass
Audited by Gen Agent Trust Hub on Nov 3, 2026
Risk Level: SAFE
Full Analysis
- [SAFE]: Analysis of the skill instructions and provided reference code reveals no malicious patterns. The skill focuses on performance optimization for a local reverse-engineering framework.
- [INDIRECT_PROMPT_INJECTION]: The skill's implementation code for parsing external tool output (Kuna) incorporates security best practices, such as using Zod for strict type validation and schema enforcement. This mitigates the risk of processing malformed or malicious data from external processes. Mandatory Evidence Chain: (1) Ingestion points: KunaStringInventoryReader parses JSON output from the 'kuna' tool. (2) Boundary markers: Zod schemas are used to define strict data shapes. (3) Capability inventory: The skill provides code for data processing but does not include dangerous subprocess or network capabilities. (4) Sanitization: Comprehensive validation is performed via Zod safeParse and manual fact validation in KunaStringInventory.ts.
- [COMMAND_EXECUTION]: The provided documentation references standard Node.js development commands (e.g.,
npm ci,npm run build) intended for local development workflows within the repository. No arbitrary or high-risk command execution patterns were found. - [DATA_EXFILTRATION]: The skill guidelines explicitly mandate the redaction of transport credentials and the preservation of local evidence, aligning with secure data handling practices for local-only tools. No suspicious network operations or unauthorized file accesses were identified.
Audit Metadata