multi-llm-convergence
Pass
Audited by Gen Agent Trust Hub on Jun 23, 2026
Risk Level: SAFECOMMAND_EXECUTIONEXTERNAL_DOWNLOADS
Full Analysis
- [COMMAND_EXECUTION]: The skill uses several shell commands to manage its workflow, such as
git initandgit commitfor versioning rounds, andfindandnodeto locate and execute the Codex companion script. It also usesperlorgtimeoutto implement a watchdog timer for task execution. These are legitimate uses intended to support the skill's documented functionality. - [EXTERNAL_DOWNLOADS]: The skill performs
git clone --depth 1on user-provided repository URLs to create a local source of truth for the LLM reviewers. This grounding mechanism is a security best practice to avoid hallucinations and unnecessary network calls by the models during review. Clones are stored in a git-ignoredtmp/directory. - [PROMPT_INJECTION]: As the skill is designed to process arbitrary user-provided artifacts and LLM-generated findings, it contains an inherent surface for indirect prompt injection.
- Ingestion points: The artifact path/content and JSON findings from reviewers enter the agent's context.
- Boundary markers: Detailed prompt templates are used to instruct the reviewers, but no strict technical delimiters are applied to the artifact data itself.
- Capability inventory: The skill has access to file system operations, command execution, and network cloning.
- Sanitization: No automated sanitization is performed; the skill relies on the agent's logic to apply changes surgically and on human oversight of the output.
- [SAFE]: The skill follows established patterns for plugin integration and reliability. It correctly identifies the trusted 'openai/codex-plugin-cc' repository for its external dependencies and implements a liveness watchdog to ensure autonomous operation without hanging.
Audit Metadata