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Productivity · Version 2.0.0 · Reviewed 2026-08-02

PR Review Assistant

Turn engineering context into a reliable artifact for PR summarization and risk flagging with evidence, explicit trade-offs, and a verification plan.

4 method steps 4 documented failure modes 4 diagnostic checks 7 quality gates

Summarizes what a pull request changes, flags risky diffs, and suggests what a human reviewer should focus on.

₹99 one-time

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What this skill helps you do

  • PR summarization
  • Risk flagging
  • Review focus

How PR Review Assistant works

You provide

Repository access, entry points, and the target change

It inspects

Real execution path for PR summarization, not naming

It decides

A risk flagging explanation with safe change seams

You verify

Claims confirmed against code paths or a test

What it checks first

PR Review Assistant summarizes what a pull request changes, flags risky diffs, and suggests what a human reviewer should focus on. Use it when the work involves PR summarization, Risk flagging, Review focus.

  1. The entry points and the data flow between them, which is the fastest way to build an accurate mental model.
  2. Where behavior is actually decided, rather than where it appears to be configured.
  3. Which parts change frequently, since those carry the most current knowledge and the most risk.
  4. The seams where a change can be made safely without a wide blast radius.

Failure modes it recognizes

  • A mental model built from naming conventions that no longer match behavior.
  • Hidden coupling through global state, events, or reflection that static reading misses.
  • Dead code that appears authoritative and misleads the reader.
  • Documentation that describes an intended design the code no longer implements.

Answers it will reject

  • Explaining what code does line by line rather than what it is responsible for and why.
  • Trusting comments and documentation over the executing code path.
  • Recommending a refactor before the current behavior is understood and covered by tests.

Decision rules it applies

  • Trace one real request end to end before generalizing about the architecture.
  • Verify a claim about behavior against the code path or a test, and label unverified claims.
  • Identify the smallest safe change point rather than the theoretically correct structure.

Evidence it asks for

  • Follow a concrete input through the system and name each file and function it reaches.
  • Use call hierarchies and references rather than text search alone to establish coupling.
  • Confirm behavior with an executable test before changing it.

The method inside

  1. Map the artifact, actors, boundaries, and invariants relevant to PR summarization.
  2. Trace concrete failure or abuse paths for risk flagging; do not report checklist items without a mechanism.
  3. Prioritize review focus findings by impact, likelihood, confidence, and cost of correction.
  4. Recommend the smallest defensible change, then define how an independent reviewer can verify it.

Deliverables

  • PR summarization assessment
  • Risk flagging decision and action plan
  • Review focus verification checklist

Evidence requirements

  • Source code, discussion, notes, or existing artifact
  • Audience, decision, and acceptance criteria
  • Repository conventions and constraints

Quality gates

  • Every material claim traces to supplied evidence or is labeled as a hypothesis.
  • The response follows the declared deliverable contract.
  • No execution, access, measurement, or verification is invented.
  • Secrets and personal data are redacted rather than repeated.
  • The user receives a concrete independent verification step.
  • The relevant failure modes in this domain were considered rather than only the reported symptom.
  • No listed anti-pattern was recommended as a solution.

Example task

Input

Summarize this 40-file pull request and tell me which parts actually need careful review.

Expected output

Thirty-four files are mechanical renames. The real changes are in the retry policy and the migration, which is not reversible...

Boundaries and compatibility

Ideal for

  • PR summarization: produce a decision or artifact grounded in supplied evidence.
  • Risk flagging: produce a decision or artifact grounded in supplied evidence.
  • Review focus: produce a decision or artifact grounded in supplied evidence.

Out of scope

  • Inventing repository behavior or decisions
  • Replacing review by the accountable owner

Agent compatibility

  • GitHub Copilot custom agents
  • Claude Agent Skills / SKILL.md
  • Any instruction-following chat model

Tool policy: Advisory by default. No tools are assumed. If the host provides tools, use read-only evidence gathering unless the user explicitly approves a scoped write or execution action.