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Pr Review

Community
faizkhairi
pr-review

Review and post feedback on a GitHub or Gitea pull request end-to-end: fetch the PR diff, run a multi-agent code review, and auto-post the verdict as a real PR review (approve/request-changes/comment) via the platform's API. Triggers on: 'review this PR', 'review PR #N', 'check this pull request', 'post a PR review', 'do a PR review on <url>'. For local uncommitted changes or a branch diff with no open PR, use review-full instead.

Overview

Publisherfaizkhairi
Repositoryclaude-code-blueprint
Skill namepr-review
Stars
73
Forks
22
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 faizkhairi on GitHub. Read the source before you install it.

Installation

Install the Pr Review 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/faizkhairi/claude-code-blueprint/tree/main/skills/pr-review
  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/faizkhairi/claude-code-blueprint.git /tmp/claude-code-blueprint
mkdir -p .claude/skills
cp -r /tmp/claude-code-blueprint/skills/pr-review .claude/skills/pr-review
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Pr Review 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 Review 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 Review 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.

This posts a REAL review to GitHub or Gitea (comments, and an approve/request-changes/comment verdict). It fetches a pull request's diff, runs the same multi-agent analysis as review-full, applies any project-specific review rules, then submits the review via the platform's API. For reviewing local diffs that aren't an open PR, use review-full or review-diff instead.

Step 0: Resolve the PR and detect the platform

  • Determine the target PR from $ARGUMENTS (a number or URL). If empty, detect the PR for the current branch.
  • Detect the git host from git remote get-url origin:
    • github.com -> GitHub. Use the gh CLI (assume it is already authenticated).
    • Anything else (self-hosted Gitea/Forgejo/Gogs, e.g. a company git server) -> Gitea-style REST API via curl.
  • For Gitea, locate this project's own credentials rather than asking every time:
    • Check whether the project's CLAUDE.md @imports a credentials file (commonly rules/credentials.md; this mirrors a common per-project credentials-import convention).
    • If none is found, ask the user for the base URL and a username:token, and offer to save them into a new, gitignored file (e.g. rules/credentials.md). Never write real secrets into a tracked file, an .example template, or any file already committed to git.

Step 1: Load PR context

  • Fetch PR metadata (title, author, base/head branch, mergeable state, description) and the unified diff:
    • GitHub: gh pr view <N> --json title,author,baseRefName,headRefName,mergeable,body, gh pr diff <N>
    • Gitea: GET /repos/{owner}/{repo}/pulls/{n} and GET /repos/{owner}/{repo}/pulls/{n}.diff
  • Count diff --git headers in the diff and record the file count (checked again in Step 5).
  • Determine reviewer identity. Compare the authenticated account against the PR author:
    • GitHub: gh api user --jq .login
    • Gitea: the username from the credentials file
    • Record whether this is a self-review (author == reviewer). Both platforms reject APPROVE/REQUEST_CHANGES on your own PR, so a self-review always posts as COMMENT.
  • Check for a prior review from this reviewer account (gh api repos/{o}/{r}/pulls/{n}/reviews, or the Gitea equivalent):
    • No prior review -> first-pass review.
    • Prior review exists -> list commits and check for any commit after that review's submitted_at.
      • New commits -> re-review mode: only findings still present in the new diff are valid; call out previously-flagged items now fixed.
      • No new commits -> stop and report "No new commits since my last review: nothing to re-review." Do not re-run the full checklist.

Step 2: Load project-specific review rules (if any)

  • Read the target project's CLAUDE.md. If it @imports rule files (naming conventions, architecture patterns, framework-specific rules, etc.), read those too and apply them in Step 4 alongside the generic checks.
  • If the project defines a cross-module impact table (e.g. "field X renamed -> grep the other repo for consumers"), run it: for each matching pattern in the diff, grep the referenced codebase paths, read every hit, and record any broken consumer as a finding.
  • If the project has no documented review rules, proceed with the generic checks only. Do not invent stack-specific rules that aren't written down anywhere.

Step 3: Determine PR scope

Look at the diff's file paths to scope which rules apply (e.g. frontend-only, backend-only, or mixed changes) and skip rules tagged for the side the PR doesn't touch.

Step 4: Multi-agent analysis

Follow the review-full skill's Steps 1-6 (spawn code-reviewer, security-reviewer, db-analyst, and architecture-reviewer as applicable) using the fetched PR diff as the change set, plus any project-specific rules loaded in Step 2. Produce the standard findings table:

| # | Severity | File:Line | Finding | Recommendation |

Step 5: Mandatory self-verification (do not skip; runs before posting)

  1. Grep verification. For every project-specific "must fix"-style rule with a greppable pattern, re-run the grep against the diff and confirm every match is either included as a finding or explicitly justified as not a violation.
  2. Rule/agent coverage line. State which agents ran and which project rules were checked, e.g. "checked code-reviewer, security-reviewer, rules A1-A2, G1-G8: N rules/checks in scope, M findings raised."
  3. Sanity check. If the diff touches 5+ files and zero findings were raised, write one sentence justifying why (e.g. "pure rename refactor", "config-only change"). Zero findings on a large diff is suspicious and must be justified, not assumed clean.
  4. File coverage check. Confirm the number of files examined equals the diff --git count recorded in Step 1.

Step 6: Build the review payload and pick the verdict

Reviewer vs. authorFindingsevent
Self-review (author == reviewer)AnyCOMMENT (always; platform rejects APPROVE/REQUEST_CHANGES on your own PR)
Reviewer != authorAny CRITICAL/HIGHREQUEST_CHANGES
Reviewer != authorOnly MEDIUM/LOWCOMMENT ("LGTM with notes")
Reviewer != authorNoneAPPROVE

If a POST with event: APPROVE or REQUEST_CHANGES fails with 403/422 (some Gitea instances permission-block certain accounts from approving), retry the same payload with event: COMMENT and say so explicitly in the summary. Do not silently swallow the failure.

Review body (top-level summary, opens every review body):

<severity emoji + count summary, e.g. "CRITICAL 2, HIGH 3, MEDIUM 1">

<DO NOT MERGE: N blocking item(s), only if any CRITICAL/HIGH present>

Blocking:
1. path/to/file.ts:47: <short description>
...

See inline comments for full detail per finding.

Inline comment format (one per finding that has a specific line):

<emoji> [SEVERITY] <Module/symbol>: <what is wrong>. <Concrete suggested fix>.

Severity emoji: CRITICAL, HIGH, MEDIUM, LOW map to plain-language tags in the body; use these emoji inline: ❌ CRITICAL, ⚠️ HIGH, 🔍 MEDIUM ("verify"), 💡 LOW ("minor"), ✅ OK (previously-flagged issue now fixed), ℹ️ NOTE (informational, non-blocking).

Positioning: a finding on a line in the new file goes in comments with that line number; a finding only on a deleted line uses the old-file line number instead; a PR-level finding with no specific line is omitted from comments and goes in body only.

Step 7: Post the review

  • GitHub: gh api repos/{owner}/{repo}/pulls/{n}/reviews -X POST --input payload.json with body {"body": "...", "event": "...", "comments": [{"path": "...", "line": N, "body": "..."}]}.
  • Gitea: curl -u "${AUTH}" -X POST -H "Content-Type: application/json" -d @payload.json "${BASE_URL}/api/v1/repos/{owner}/{repo}/pulls/{n}/reviews" with the same payload shape, except inline comments use new_position/old_position instead of line.
  • Before posting, re-check for existing reviews from this account against the current head commit, to avoid double-posting if this workflow already ran for the same commit.

Step 8: Verify

  1. Confirm the response contains a valid review id. A missing/null id means the POST failed silently. Read the error body and report the real failure; do not report success.
  2. Confirm file coverage matches the count recorded in Step 1.
  3. Re-read each cited finding's lines to confirm the finding text still matches the actual code before declaring the review posted.
  4. Never say "review posted" without having confirmed a valid id.

Review discipline

  • Finish the current PR before moving to the next one flagged in conversation.
  • Pre-existing issues outside the PR's own diff get an ℹ️ NOTE, not a blocking finding, unless the PR's changes directly break them.
  • If the PR description claims something was tested and the change is non-trivial, look for evidence (screenshots, test output, added tests). If none is provided, flag with 🔍 SHOULD VERIFY.
  • Read the full diff before forming any finding. Never post a review based on a partial read.

Frequently asked questions

What does the Pr Review AI skill do?

Review and post feedback on a GitHub or Gitea pull request end-to-end: fetch the PR diff, run a multi-agent code review, and auto-post the verdict as a real PR review (approve/request-changes/comment) via the platform's API. Triggers on: 'review this PR', 'review PR #N', 'check this pull request', 'post a PR review', 'do a PR review on <url>'. For local uncommitted changes or a branch diff with no open PR, use review-full instead.

Why use Pr Review on TypingMind?

Because you install it once and use it with any model. Pr Review 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 Review in TypingMind?

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

Which AI models can use Pr Review?

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 Review?

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

Is the Pr Review AI skill free?

Yes. It is published on GitHub by faizkhairi 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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