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Review Pr

Community
richtabor
review-pr

Reviews PR comments from GitHub (Copilot, reviewers), evaluates against actual code, replies with reasoning, and resolves threads. Triggers on "review pr comments", "address pr feedback", "fix pr comments", or "review copilot suggestions".

Overview

Publisherrichtabor
Repositoryagent-skills
Skill namereview-pr
Stars
70
Forks
11
Bundled files
Instructions only
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 richtabor on GitHub. Read the source before you install it.

Installation

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

Use it in TypingMind

Enable Review Pr 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 Review Pr 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 Review Pr 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.

Review PR Comments

Fetch, evaluate, and address PR review comments from GitHub. Many reviewer comments reference outdated code or misunderstand the logic — always verify against the actual codebase before acting.

Process

This is a single-pass flow. Fetch comments, read files, evaluate, present assessment, reply to all comments, resolve all threads, and show the final summary — all without pausing for user confirmation.

1. Find the PR

If no PR number is provided, find the PR for the current branch:

bash
gh pr list --head $(git branch --show-current) --json number,title --jq '.[0]'

2. Fetch Review Comments

Fetch comments with their IDs:

bash
gh api repos/{owner}/{repo}/pulls/{number}/comments --jq '.[] | {id: .id, path: .path, line: (.line // .original_line), body: .body, in_reply_to_id: .in_reply_to_id}'

Filter to only top-level comments (where in_reply_to_id is null).

3. Read Referenced Files (Critical Step)

Before evaluating any comment, read the actual current code. Reviewers often:

  • Reference line numbers from an older commit
  • Misread the logic
  • Comment on code that's already been fixed

For each unique file path, read the file and verify:

  • Does the line number match what the reviewer is describing?
  • Has the issue already been addressed?
  • Is the reviewer's understanding of the code correct?

4. Evaluate All Comments

Categorize each comment:

CategoryCriteriaResponse
Already addressedIssue was fixed in a subsequent commit, or reviewer misread the codeExplain what the code actually does
FixValid bug, security issue, or typo that exists in current codeImplement the fix
Won't fixOver-engineering, style preference, feature request, or would break consistencyExplain reasoning

5. Present Assessment, Reply, and Resolve

Do all of this in one pass — no pausing for user confirmation. Present your assessment, reply to each comment, and resolve all threads immediately.

Present ALL comments with your assessment:

## PR #[number]: [title]

Found [X] review comments. Here's my assessment:

---

### 1. `path/file.ts:42` — **Already addressed**
> [comment body]

**Issue**: Reviewer concerned about X
**Actual code**: Lines 26-34 already handle this — [brief explanation]

---

### 2. `path/other.ts:15` — **Won't fix**
> [comment body]

**Issue**: Reviewer wants X
**Why skip**: [Over-engineering / Matches existing pattern / Feature request / etc]

---

### 3. `path/file.ts:88` — **Fix**
> [comment body]

**Issue**: Typo in user-facing string
**Proposed change**: Change "Jumpope" to "Jump Rope"

---

## Summary
- **Already addressed**: 6 comments
- **Won't fix**: 8 comments
- **Fix**: 2 comments

Then immediately reply to all comments and resolve all threads (steps 6-7 below). Don't wait for user input.

6. Reply to Comments

For Already addressed comments, reply explaining the current state:

bash
gh api repos/{owner}/{repo}/pulls/{pr_number}/comments/{comment_id}/replies \
  -X POST \
  -f body="This is already handled — lines 26-34 fetch the authenticated user and verify user.id === state before proceeding. If they don't match, it rejects with a CSRF error."

For Won't fix comments, reply with concise reasoning:

bash
gh api repos/{owner}/{repo}/pulls/{pr_number}/comments/{comment_id}/replies \
  -X POST \
  -f body="Won't fix — this matches the exact pattern used for the other integrations in the same file. Changing just this one would be inconsistent."

For Fix comments, implement the fix first, then reply:

bash
gh api repos/{owner}/{repo}/pulls/{pr_number}/comments/{comment_id}/replies \
  -X POST \
  -f body="Fixed in abc1234"

7. Resolve All Threads

First, get all unresolved thread IDs:

bash
cat << 'QUERY' | gh api graphql --input - --jq '.data.repository.pullRequest.reviewThreads.nodes[] | select(.isResolved == false) | {threadId: .id, commentId: .comments.nodes[0].databaseId}'
{"query": "query($owner: String!, $repo: String!, $pr: Int!) { repository(owner: $owner, name: $repo) { pullRequest(number: $pr) { reviewThreads(first: 100) { nodes { id isResolved comments(first: 1) { nodes { databaseId } } } } } } }", "variables": {"owner": "OWNER", "repo": "REPO", "pr": 123}}
QUERY

Then resolve each thread by ID:

bash
cat << 'QUERY' | gh api graphql --input -
{"query": "mutation { resolveReviewThread(input: {threadId: \"THREAD_ID_HERE\"}) { thread { isResolved } } }"}
QUERY

8. Final Summary

After replying and resolving, show the final summary:

## Review Complete

All 16 conversations resolved.

### Already addressed (6)
| Comment | Explanation |
|---------|-------------|
| State validation | Already validates user.id === state at lines 26-34 |
| HR zones docs | Comments already say "milliseconds", not "percentage" |

### Won't fix (8)
| Comment | Reason |
|---------|--------|
| Form semantics | Matches existing pattern for other integrations |
| Rate limiting | Self-heals on next cron run, over-engineering |

### Fixed (2)
| Commit | Fix |
|--------|-----|
| `abc123` | Fixed typo "Jumpope" → "Jump Rope" |

Important: The entire flow (assess → reply → resolve → summarize) happens in one pass. Don't pause to ask "should I proceed?" — just do it.


Evaluation Guidelines

Already Addressed — Explain, don't fix

Common patterns where the reviewer is wrong:

  • Reviewer references wrong line numbers: Code has changed since they reviewed
  • Reviewer misread the logic: e.g., thinks condition is inverted when it's correct
  • Issue was already fixed: Subsequent commits addressed it
  • Code exists elsewhere: The check/validation happens in a different function

Response template:

"This is already handled — [specific location] does [what it does]. [Brief explanation of why it's correct]."

Fix — Implement and commit

Only fix issues that:

  • Actually exist in the current code
  • Are bugs, security issues, or typos
  • Can be verified by reading the file

Won't Fix — Explain reasoning

ReasonResponse template
Matches existing pattern"Won't fix — this matches the exact pattern of X, Y, and Z in the same file. Changing just this would be inconsistent."
Over-engineering"Won't fix — [the failure mode] will fail obviously / self-heal on retry / is handled by [existing mechanism]."
Feature request"Won't fix — this is a feature request rather than a bug. The current flow works: [what it does]. Out of scope for this PR."
Product decision"Won't fix — this is a product decision, not a bug. [Current behavior] is intentional because [reason]."
Would break things"Won't fix — this would break [existing behavior / consistency with X]."

Common Reviewer Misunderstandings

Inverted conditions

Reviewers often misread boolean logic. Example:

typescript
// "Refresh if expires in less than 5 minutes"
if (expiry.getTime() - Date.now() > 5 * 60 * 1000) {
  return integration.access_token!; // Token is fresh, return early
}
// Proceed to refresh...

Reviewer says: "Condition is inverted, tokens never refresh" Reality: Condition is correct — returns early when fresh, refreshes when stale.

Missing validation that exists

Reviewer says: "State parameter not validated" Reality: Lines 26-34 already validate it. Always check if the validation exists before agreeing.

Tokens in error messages

Reviewer says: "Sensitive tokens logged in error messages" Reality: The error logs the API's error response, not our tokens. Read what's actually in the error string.

Code that doesn't exist at that line

Reviewer references line 174, but file only has 161 lines. The file has changed since the review.


Key Principles

  1. Single-pass execution: Don't pause to ask "should I proceed?" — assess, reply, resolve, and summarize in one flow
  2. Verify before acting: Always read the actual file before evaluating a comment
  3. Trust the codebase: If existing patterns work, new code should match them
  4. Explain, don't just dismiss: Skipped comments deserve clear explanations
  5. Resolve everything: All threads should be resolved, whether fixed or explained
  6. Be concise: Responses should be 1-2 sentences, not paragraphs

Frequently asked questions

What does the Review Pr AI skill do?

Reviews PR comments from GitHub (Copilot, reviewers), evaluates against actual code, replies with reasoning, and resolves threads. Triggers on "review pr comments", "address pr feedback", "fix pr comments", or "review copilot suggestions".

Why use Review Pr on TypingMind?

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

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

Which AI models can use Review Pr?

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 Review Pr?

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

Is the Review Pr AI skill free?

It is published on GitHub by richtabor. Check the repository for licensing terms. 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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