Evaluates tests added in a PR for coverage, quality, edge cases, and test type appropriateness. Checks if tests cover the fix, finds gaps, and recommends lighter test types when possible. Prefer unit tests over device tests over UI tests. Triggers on: 'evaluate tests in PR', 'review test quality', 'are these tests good enough', 'check test coverage', 'is this test adequate', 'assess test coverage for PR'.
75
92%
Does it follow best practices?
Run evals on this skill
Adds up to 20 points to the overall score
View guide
Low
Low-risk findings worth noting
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.
The required workflow runs `scripts/Gather-TestContext.ps1`, which uses GitHub PR APIs (`gh pr diff` / `gh api .../contents`) to download and then reads outsider-authored PR files via `Get-Content $TestFile -Raw` into the generated context report, which is emitted to stdout/`context.md` for the LLM-judge.
The skill fetches instructions or code from an external URL at runtime, and the fetched content directly controls the agent’s prompts or executes code. This dynamic dependency allows the external source to modify the agent’s behavior without any changes to the skill itself.
The Gather-TestContext.ps1 script uses the GitHub CLI to fetch PR file contents at runtime via the API path "repos/$owner/$repo/contents/$($encodedFile)?ref=$headSha" (gh api …) and writes those files into the repo for the agent to read, so remote content from GitHub directly controls inputs the agent will process.
6a24ec5
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.