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joeholdcroft/code-review-feedback

Systematically handle GitHub PR review feedback: fetch comments, plan responses, make code changes, and reply to reviewers with explicit approval at each stage.

90

Quality

90%

Does it follow best practices?

Impact

Pending

No eval scenarios have been run

SecuritybySnyk

Advisory

Suggest reviewing before use

Overview
Quality
Evals
Security
Files

Security

2 findings — 2 medium severity. This skill can be installed but you should review these findings before use.

Medium

W011: Third-party content exposure detected (indirect prompt injection risk)

What this means

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.

Why it was flagged

Third-party content exposure detected (high risk: 0.90). The skill explicitly fetches user-generated GitHub content (see Phase 2: the GraphQL query that retrieves reviewThreads and reviews and the `gh pr view --json comments` call), and the workflow requires parsing those untrusted review/comment bodies to decide actions (Phase 3–8) such as code changes, replies, and resolving threads, so third-party content can directly influence agent behavior.

Report incorrect finding
Medium

W012: Unverifiable external dependency detected (runtime URL that controls agent)

What this means

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.

Why it was flagged

Potentially malicious external URL detected (high risk: 0.90). The skill uses the gh CLI to fetch PR review content at runtime from GitHub (e.g., https://api.github.com/graphql and PR URLs like https://github.com/OWNER/REPO/pull/NUMBER), and those fetched review bodies/comments are parsed and injected into the agent’s processing to generate plans and replies, so external content directly controls the agent's instructions and is a required dependency.

Audited
Security analysis
Snyk