pr-review-check-suggestion

Name: pr-review-check-suggestion
Availability: InStock
Author: Inkeep

Validate PR review findings with web search and confidence calibration.

1.4k|162|Updated Sep 5, 2025

Search Tags:#validation #web search #subagents #safety #PR review #code-review #confidence-calibration

Ready to run

npx skills add https://github.com/inkeep/agents --skill pr-review-check-suggestion

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: pr-review-check-suggestion
Source: https://github.com/inkeep/agents/tree/main/.agents/skills/pr-review-check-suggestion
Command: npx skills add https://github.com/inkeep/agents --skill pr-review-check-suggestion

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This Skill provides pre-output validation for PR review subagents, ensuring findings are accurate before they are surfaced to developers.

Core Features & Use Cases

Pre-output validation for PR review subagents to prevent inaccurate findings from reaching reviewers.
Web search-based verification of issues and fixes against current best practices when available.
Confidence calibration when external knowledge is uncertain, reducing reliance on unverified information.

Quick Start

Run the pre-output validation on a batch of PR findings to confirm accuracy before delivery to the user.

Frequently Asked Questions about pr-review-check-suggestion

High-intent search queries and answers about installing and using this skill.

FAQPage Schema

How do I validate automated PR review findings before sending them to developers?▼

You can validate PR review findings by running a deterministic pre-output verification workflow that checks subagent results against current best practices. This Skill intercepts findings, uses optional web search to confirm issues and fixes, and assigns confidence levels to ensure accurate code review suggestions.

What is confidence calibration in code review and when do I need it?▼

Confidence calibration in code review adjusts the certainty of findings when external knowledge is uncertain or unverified. You need it when automated PR review subagents rely on external information that may be outdated, ensuring reviewers only receive findings with appropriate confidence levels.

Can I use web search to verify code review issues against current best practices?▼

Yes, web search can verify code review issues when available by checking PR findings against current best practices. This Skill applies web search results during validation to confirm that identified issues and suggested fixes align with up-to-date standards before output.

How do I prevent prompt injection or data leakage in automated PR review subagents?▼

Preventing prompt injection and data leakage in PR review subagents requires a deterministic workflow that enforces safety by design. This Skill validates findings through a controlled process that blocks prompt-injection vectors and prevents data leakage while surfacing accurate code review results.

Does this PR review validation work without external dependencies or components?▼

Yes, this PR review validation works without external dependencies or components. The Skill operates as a standalone pre-output validation layer with no required dependencies, using an optional web search integration to verify findings and calibrate confidence when available.