review-pr
Fail
Audited by Gen Agent Trust Hub on Oct 6, 2026
Risk Level: HIGHCOMMAND_EXECUTIONREMOTE_CODE_EXECUTIONINDIRECT_PROMPT_INJECTIONPERSISTENCE
Full Analysis
- [COMMAND_EXECUTION]: The
fix-verifylogic inreview.jsexplicitly instructs the agent to "Run the commands the new prose tells a reader to run." This creates a dangerous condition where a malicious pull request author can trigger the execution of arbitrary commands by including them in documentation, README files, or comments within the PR diff. - [REMOTE_CODE_EXECUTION]: The skill's "Probe" phase in
SKILL.mddirects the agent to execute check scripts found in the repository'spackage.json. Because these scripts are part of the code being reviewed, a malicious PR could modify them to execute unauthorized code on the host machine when the review is initiated. - [INDIRECT_PROMPT_INJECTION]: The skill is highly vulnerable to indirect prompt injection because it processes untrusted data from pull request descriptions, issues, and code changes to guide its reviewing agents.
- Ingestion points: Pull request content, issue bodies, and git diffs are read in
SKILL.md(Step 1) and passed to agents viareview.jsprompts. - Boundary markers: The skill attempts to isolate instructions using XML-like tags such as
<constraints>,<context>, and<your-job>, but these markers are insufficient to prevent an LLM from being influenced by instructions embedded within the code or prose it is reviewing. - Capability inventory: The agent can execute shell commands, interact with GitHub via the
ghCLI, and read/write to the local file system. - Sanitization: There is no evidence of sanitization or filtering of the content extracted from the pull request before it is processed by the agent or used to derive shell commands.
- [PERSISTENCE]: The skill uses a local directory
${XDG_DATA_HOME:-$HOME/.local/share}/review-pr/to store round results and reports. This mechanism allows state and potential artifacts from malicious reviews to persist on the host system across different sessions.
Recommendations
- AI detected serious security threats
Audit Metadata