Deep code review of a single open PR in nrwl/nx. Checks out the PR inside an isolated sandbox container — gVisor on Linux, the Docker VM on macOS — never into the host working tree, runs the pr-review-toolkit review agents, the reproduce-verifier agent (grounds the review in the linked issues and executes the repro inside the sandbox), the alternative-approach agent (independently designs competing solutions and contrasts them with the PR's choice), the performance-analyzer agent (checks the changes don't waste CPU or memory and execute quickly at workspace scale), and the security-analyzer agent (hunts injection-class vulnerabilities — command injection, zip-slip, SSRF, credential leakage — across real trust boundaries), surfaces critical and important findings (plus strengths, a terse suggestions list, and explicit maintainer-call decisions), and saves a GitHub-flavored draft to ~/.nx-pr-reviews/<NUMBER>.md for the reviewer to read (nothing is posted). Claude runs on the host and reads/executes the PR code only through `docker exec` — untrusted PR code never runs on the host and Claude's credentials never enter the sandbox. Use when you want a thorough review of one PR.
Low
Low-risk findings.
2 low severity findings. Worth noting, but not necessarily harmful.
The skill exposes the agent to untrusted, user-generated content from public third-party sources, creating a risk of indirect prompt injection. This includes browsing arbitrary URLs, reading social media posts or forum comments, and analyzing content from unknown websites.
In Step 5, outsider-authored PR diff lines are fetched from GitHub via `gh pr diff` and then ingested into multiple LLM agents through the explicit `DIFF: /tmp/pr-<NUMBER>.diff`/evidence-verification mechanism, so attacker-controlled content is read before any specific item selection beyond the PR number.
The skill fetches instructions or code from an external URL at runtime, and the fetched content directly controls the agent’s prompts or executes code. This dynamic dependency allows the external source to modify the agent’s behavior without any changes to the skill itself.
The skill runs "git remote add origin https://github.com/nrwl/nx" and then fetches PR heads into the sandbox (docker exec ... git fetch / checkout), so https://github.com/nrwl/nx is fetched at runtime and supplies code that may be executed inside the container.
If you maintain this skill, you can claim it as your own. Once claimed, you can manage eval scenarios, bundle related skills, attach documentation or rules, and ensure cross-agent compatibility.