error-recovery

Pass

Audited by Gen Agent Trust Hub on Sep 4, 2026

Risk Level: SAFEINDIRECT_PROMPT_INJECTIONEXTERNAL_DOWNLOADS
Full Analysis
  • [INDIRECT_PROMPT_INJECTION]: The skill provides templates for workflows that ingest and process output from external AI models (e.g., via the claudish CLI). This ingestion of untrusted data creates a potential surface for indirect prompt injection if the model output contains malicious instructions that influence subsequent automated steps.
  • Ingestion points: Output from external models captured via the claudish tool as documented in SKILL.md.
  • Boundary markers: The provided implementation patterns do not include specific delimiters or "ignore embedded instructions" warnings for the ingested content.
  • Capability inventory: The skill logic includes file system writes (ai-docs/grok-review.md, ai-docs/partial-review.md), shell command execution via timeout and bash, and process management (handling SIGINT).
  • Sanitization: No specific sanitization, validation, or filtering of the model-generated content is implemented in the provided examples before the data is processed or saved.
  • [EXTERNAL_DOWNLOADS]: The documentation references the installation of the claudish CLI tool via npm install -g claudish to enable multi-model functionality. It also describes querying the OpenRouter API (openrouter.ai) for credit balance checks. These are standard external resources for the documented workflow.
Audit Metadata
Risk Level
SAFE
Analyzed
Sep 4, 2026, 08:18 PM
Security Audit — agent-trust-hub — error-recovery