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Pr Code Reviewer

Community
thiientv
pr-code-reviewer

Reviews a GitHub pull request or focused branch diff for correctness, regressions, security, compatibility, test gaps, and maintainability. Use when an implementation needs an independent source-aware review before merge. Produces prioritized findings with evidence and actionable fixes. Not for architecture-only audits, formatting preferences, or processing existing review feedback.

Overview

Publisherthiientv
Repositorygodmode
Skill namepr-code-reviewer
Stars
99
Forks
76
Bundled files
Instructions only
LicenseMIT
Links
  • Markdown instructions

    A SKILL.md file the model loads on demand, so it only costs tokens when a request actually matches.

  • Works with any LLM

    AI skills are plain Markdown, not provider-specific code, so this works with GPT, Claude, Gemini, Grok, or a local model.

  • Self-contained

    Everything the model needs lives in the instructions — no extra files to sync.

  • Open source

    Published by thiientv on GitHub. Read the source before you install it.

Installation

Install the Pr Code Reviewer AI skill in TypingMind to use it with any LLM, or drop it into another agent that reads SKILL.md.

1

Install in TypingMind

TypingMind installs a skill straight from its GitHub folder — it reads SKILL.md, bundles the resource files, and stores the result locally.

  1. Open the app and go to Plugins → Skills.
  2. Choose "Install from GitHub".
  3. Paste the skill folder URL below and confirm.
    https://github.com/thiientv/godmode/tree/main/skills/pr-code-reviewer
  4. Enable the skill in any chat where you want it available.
Plugins → Skills → Add skill → From GitHub URL, then paste the folder URL and press Continue.
2

Install in another agent

Any agent that reads the Agent Skills format can use this skill — copy the folder into that agent's skills directory.

Claude Code — .claude/skills
git clone --depth 1 https://github.com/thiientv/godmode.git /tmp/godmode
mkdir -p .claude/skills
cp -r /tmp/godmode/skills/pr-code-reviewer .claude/skills/pr-code-reviewer
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Pr Code Reviewer in any TypingMind chat and the model takes it from there. Its name and description sit in the system prompt, and the moment a request matches, the model loads the full instructions itself — you never invoke it by hand, and it costs no tokens until it is actually used.

The model loads Pr Code Reviewer on its own as soon as a request matches it.

Works with any AI model

AI skills are plain Markdown instructions rather than provider-specific code, so Pr Code Reviewer is not tied to the model it was written for. Install it once in TypingMind and use it with GPT-5, Claude, Gemini, Grok, DeepSeek, Mistral, Llama, or a local model you run yourself — all on your own API keys.

  • Loaded only when it is needed

    The system prompt carries just the name and description. The instructions are fetched on the first matching request, so an idle skill costs nothing.

  • Switch models mid-chat

    Because the skill is instructions rather than code, changing model does not break it — the next model reads the same SKILL.md.

Skill instructions

This is the SKILL.md content the model loads. Read it before installing — a skill is instructions your model will follow.

PR Code Reviewer

Review the change, not the author's intent. Prefer concrete evidence from the PR diff, surrounding code, tests, history, and the stated contract.

Establish the review boundary

  1. Identify the base and head revisions and inspect the complete diff.
  2. Read the PR description, linked requirements, acceptance criteria, and relevant design or ADR material.
  3. Trace changed code into direct callers, consumers, persistence, external interfaces, and error paths where needed.
  4. Inspect changed tests and identify important behavior that remains unproved.

Do not spend equal time on every file. Follow changed behavior and risk.

Review dimensions

Check, in order of likely impact:

  • Correctness: broken logic, incorrect state transitions, race conditions, error handling, invalid assumptions, and regressions.
  • Security: authorization/authentication gaps, injection, secret exposure, unsafe deserialization, trust-boundary violations, and sensitive logging.
  • Compatibility: public API, schema, migration, config, data-format, backward-compatibility, and rollout risks.
  • Reliability: retries, timeouts, idempotency, resource cleanup, concurrency, partial failure, and observability.
  • Performance: avoidable hot-path work, unbounded operations, N+1 access, excessive allocations, or latency changes supported by the code path.
  • Tests: missing regression coverage, assertions that cannot fail for the defect, brittle tests, and gaps at important boundaries.
  • Maintainability: misleading ownership, duplicated policy, hidden side effects, or complexity that materially raises future change risk.

Do not report pure style or personal preference unless the repository enforces it or the style creates a concrete defect risk.

Validate findings

Every finding must have:

  • severity: P0 blocker, P1 high, P2 medium, or P3 low;
  • precise file/line or diff location;
  • the violated behavior, contract, or invariant;
  • evidence explaining why the issue is real;
  • a minimal, actionable fix or verification step.

Before reporting a finding, inspect enough surrounding code to rule out a false positive. Run focused tests or static checks when available. Distinguish a defect from a missing-proof finding.

Review output

Return findings in priority order. For each finding use:

text
[P1] path/to/file.ts:42
Problem: <what is wrong>
Evidence: <why the current implementation fails or is risky>
Fix: <smallest useful correction>

Then provide:

  1. Verdict: approve, approve with follow-up, or request changes.
  2. Coverage gaps: important behavior not directly proven.
  3. What was checked: tests, static analysis, or other evidence.

If no actionable findings remain, say so explicitly and still report important coverage gaps or verification limits. Never call a PR safe solely because CI is green.

Completion condition

The review is complete when the changed behavior has been inspected in context, high-risk paths have evidence, findings are prioritized and actionable, and remaining uncertainty is explicitly stated.

Frequently asked questions

What does the Pr Code Reviewer AI skill do?

Reviews a GitHub pull request or focused branch diff for correctness, regressions, security, compatibility, test gaps, and maintainability. Use when an implementation needs an independent source-aware review before merge. Produces prioritized findings with evidence and actionable fixes. Not for architecture-only audits, formatting preferences, or processing existing review feedback.

Why use Pr Code Reviewer on TypingMind?

Because you install it once and use it with any model. Pr Code Reviewer is plain Markdown rather than provider-specific code, so the same skill runs on GPT-5, Claude, Gemini, Grok, or a local model — and you can switch model mid-chat without it breaking. TypingMind runs on your own API keys, so you pay providers directly instead of a per-seat subscription, and your skills and chats stay in your own storage.

How do I install Pr Code Reviewer in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/thiientv/godmode/tree/main/skills/pr-code-reviewer. TypingMind reads its SKILL.md and installs it as a skill you can enable per chat.

Which AI models can use Pr Code Reviewer?

Any model you connect in TypingMind. AI skills are plain Markdown instructions rather than provider-specific code, so GPT, Claude, Gemini, Grok, and local models can all load this skill when a request matches it.

How many AI models can I use with Pr Code Reviewer?

As many as you like. As long as a model supports skills, you can use Pr Code Reviewer with it — GPT, Claude, Gemini, Grok, DeepSeek, Mistral, Llama and more — all on TypingMind with your own API keys.

Is the Pr Code Reviewer AI skill free?

Yes. It is published on GitHub by thiientv under the MIT license. You only pay your own AI provider for the tokens you use.

What are AI skills?

An AI skill is a reusable instruction bundle that teaches an AI model how to do one specific task. It follows the open Agent Skills format: a SKILL.md file with a name and description, plus any scripts, templates or reference files the model may need. The model reads the instructions only when your request matches the skill, so an installed skill costs nothing until it is used.

How are AI skills different from plugins or MCP servers?

A plugin or MCP server gives a model new tools to call — code that runs somewhere and returns a result. An AI skill gives the model knowledge and process instead: how to approach a task, which steps to follow, what good output looks like. Skills are plain Markdown, so they need no server, no API key and no runtime, and they work with any model.

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