skills/dnyoussef/context-cascade/when-reviewing-pull-request-orchestrate-comprehensive-code-revie/Gen Agent Trust Hub
when-reviewing-pull-request-orchestrate-comprehensive-code-revie
Pass
Audited by Gen Agent Trust Hub on Sep 30, 2026
Risk Level: SAFECOMMAND_EXECUTIONINDIRECT_PROMPT_INJECTIONEXTERNAL_DOWNLOADS
Full Analysis
- [COMMAND_EXECUTION]: The skill directs the agent to execute a variety of shell commands to manage the code review process. This includes using the GitHub CLI (
gh pr) for retrieving metadata and submitting reviews, as well asnpmandnpxfor running tests, linters, and coordinating the specialized agent swarm. - [INDIRECT_PROMPT_INJECTION]: The skill is primarily designed to ingest and analyze untrusted data from pull requests, which presents a surface for indirect prompt injection where malicious instructions embedded in code or PR descriptions could attempt to influence the agent.
- Ingestion points: Source code files changed in the PR, pull request descriptions, commit messages, and metadata fetched via the GitHub API (SKILL.md, Phase 1 and 2).
- Boundary markers: The workflow lacks explicit delimiters or instructions to treat PR content as untrusted data to prevent the agent from executing instructions found within the code being reviewed.
- Capability inventory: The agent is granted capabilities to read the local filesystem (including a broad check of
D:\Projects\*), spawn additional agents, and execute shell commands. - Sanitization: The workflow relies on external tools like ESLint, static analyzers, and the 'Security Manager' agent to identify issues, but it does not specify internal prompt-level sanitization for the data it processes.
- [EXTERNAL_DOWNLOADS]: The skill utilizes
npxto run theclaude-flowutility. This execution pattern potentially downloads and executes packages from the public npm registry at runtime.
Audit Metadata