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lightrun-runtime-aware-pr-review

Use when reviewing a pull request with runtime or production evidence — for example to review a PR with runtime verification, gather production evidence, or simulate a patch on live samples. Reviews a pull request by diffing against the PR merge base, collecting live samples, and simulating the patch on captured production inputs.

90

1.38x
Quality

96%

Does it follow best practices?

Impact

98%

1.38x

Average score across 2 eval scenarios

SecuritybySnyk

Low

Low-risk findings worth noting

SKILL.md
Quality
Evals
Security

Low

Low-risk findings.

1 low severity finding. Worth noting, but not necessarily harmful.

Low

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

The runtime workflow uses GitHub compare/PR diff data to derive verification areas and then queries Lightrun runtime hits/snapshots, so outsider-authored free text from the PR (e.g., changed files/diff content) is read at runtime and can carry indirect prompt-injection payloads.

Report incorrect finding
Repository
lightrun-platform/lightrun-ai
Audited
Security analysis
Snyk

Is this your skill?

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.