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Attach Review To Pr

OrganizationPopular
NeoLabHQ
attach-review-to-pr

Add line-specific review comments to pull requests using GitHub CLI API

Overview

PublisherNeoLabHQ
Repositorycontext-engineering-kit
Skill nameattach-review-to-pr
Stars
1.7K
Forks
159
Bundled files
Instructions only
LicenseGPL-3.0
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 NeoLabHQ on GitHub. Read the source before you install it.

Installation

Install the Attach Review To 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/NeoLabHQ/context-engineering-kit.git /tmp/context-engineering-kit
mkdir -p .claude/skills
cp -r /tmp/context-engineering-kit/antigravity/skills/attach-review-to-pr .claude/skills/attach-review-to-pr
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Attach Review To 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 Attach Review To 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 Attach Review To 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.

How to Attach Line-Specific Review Comments to Pull Requests

This guide explains how to add line-specific review comments to pull requests using the GitHub CLI (gh) API or mcp__github_inline_comment__create_inline_comment if it not available, similar to how the GitHub UI allows commenting on specific lines of code.

Preferred Approach: Using MCP GitHub Tools

If available, use the mcp__github_inline_comment__create_inline_comment MCP tool for posting line-specific inline comments on pull requests. This approach provides better integration with GitHub's UI and is the recommended method.

Fallback: If the MCP tool is not available, use the GitHub CLI (gh) API methods described below:

Overview

While gh pr review provides basic review functionality (approve, request changes, general comments), it does not support line-specific comments directly. To add comments on specific lines of code, you must use the lower-level gh api command to call GitHub's REST API directly.

Prerequisites

  1. GitHub CLI installed and authenticated:

    bash
    gh auth status
  2. Access to the repository and pull request you want to review

Understanding GitHub's Review Comment System

GitHub has two types of PR comments:

  1. Issue Comments - General comments on the PR conversation
  2. Review Comments - Line-specific comments on code changes

Review comments can be added in two ways:

  • Single comment - Using the /pulls/{pr}/comments endpoint
  • Review with multiple comments - Using the /pulls/{pr}/reviews endpoint

Adding a Single Line-Specific Comment

Basic Syntax

bash
gh api repos/{owner}/{repo}/pulls/{pr_number}/comments \
  -f body='Your comment text here' \
  -f commit_id='<commit-sha>' \
  -f path='path/to/file.js' \
  -F line=42 \
  -f side='RIGHT'

Parameters Explained

ParameterTypeRequiredDescription
bodystringYesThe text of the review comment (supports Markdown)
commit_idstringYesThe SHA of the commit to comment on
pathstringYesRelative path to the file being commented on
lineintegerYesThe line number in the diff (use -F for integers)
sidestringYesRIGHT for new/modified lines, LEFT for deleted lines
start_lineintegerNoFor multi-line comments, the starting line
start_sidestringNoFor multi-line comments, the starting side

Parameter Flags

  • -f (--field) - For string values
  • -F (--field) - For integer values (note the capital F)

Complete Example

bash
# First, get the latest commit SHA for the PR
gh api repos/NeoLabHQ/learning-platform-app/pulls/4 --jq '.head.sha'

# Then add your comment
gh api repos/NeoLabHQ/learning-platform-app/pulls/4/comments \
  -f body='Consider adding error handling here. Should we confirm the lesson was successfully marked as completed before navigating away?' \
  -f commit_id='e152d0dd6cf498467eadbeb638bf05abe11c64d4' \
  -f path='src/components/LessonNavigationButtons.tsx' \
  -F line=26 \
  -f side='RIGHT'

Understanding Line Numbers

The line parameter refers to the position in the diff, not the absolute line number in the file:

  • For new files: Line numbers match the file's line numbers
  • For modified files: Use the line number as it appears in the "Files changed" tab
  • For multi-line comments: Use start_line and line to specify the range

Response

On success, returns a JSON object with comment details:

json
{
  "id": 2532291222,
  "pull_request_review_id": 3470545909,
  "path": "src/components/LessonNavigationButtons.tsx",
  "line": 26,
  "body": "Consider adding error handling here...",
  "html_url": "https://github.com/NeoLabHQ/learning-platform-app/pull/4#discussion_r2532291222",
  "created_at": "2025-11-16T22:40:46Z"
}

Adding Multiple Line-Specific Comments Together

To add multiple comments across different files in a single review, use the /reviews endpoint with JSON input.

Why Use Reviews for Multiple Comments?

  • Atomic operation - All comments are added together
  • Single notification - Doesn't spam with multiple notifications
  • Better UX - Appears as one cohesive review
  • Same mechanism as GitHub UI - "Start a review" → "Finish review"

Basic Syntax

bash
cat <<'EOF' | gh api repos/{owner}/{repo}/pulls/{pr_number}/reviews --input -
{
  "event": "COMMENT",
  "body": "Overall review summary (optional)",
  "comments": [
    {
      "path": "file1.tsx",
      "body": "Comment on file 1",
      "side": "RIGHT",
      "line": 15
    },
    {
      "path": "file2.tsx",
      "body": "Comment on file 2",
      "side": "RIGHT",
      "line": 30
    }
  ]
}
EOF

Review Event Types

EventDescriptionWhen to Use
COMMENTGeneral review commentJust leaving feedback without approval
APPROVEApprove the PRChanges look good, ready to merge
REQUEST_CHANGESRequest changesIssues that must be fixed before merge

Complete Example

bash
cat <<'EOF' | gh api repos/NeoLabHQ/learning-platform-app/pulls/4/reviews --input -
{
  "event": "COMMENT",
  "body": "Testing multiple line-specific comments via gh api",
  "comments": [
    {
      "path": "src/components/CourseCard.tsx",
      "body": "Test comment generated by Claude",
      "side": "RIGHT",
      "line": 15
    },
    {
      "path": "src/components/CourseProgressWidget.tsx",
      "body": "Test comment generated by Claude",
      "side": "RIGHT",
      "line": 30
    },
    {
      "path": "src/components/LessonProgressTracker.tsx",
      "body": "Test comment generated by Claude",
      "side": "RIGHT",
      "line": 20
    }
  ]
}
EOF

Response

json
{
  "id": 3470546747,
  "state": "COMMENTED",
  "html_url": "https://github.com/NeoLabHQ/learning-platform-app/pull/4#pullrequestreview-3470546747",
  "submitted_at": "2025-11-16T22:42:43Z",
  "commit_id": "e152d0dd6cf498467eadbeb638bf05abe11c64d4"
}

Common Issues and Solutions

Issue 1: "user_id can only have one pending review per pull request"

Error Message:

gh: Validation Failed (HTTP 422)
{"message":"Validation Failed","errors":[{"resource":"PullRequestReview","code":"custom","field":"user_id","message":"user_id can only have one pending review per pull request"}]}

Cause: GitHub only allows one pending (unsubmitted) review per user per PR. If you previously started a review through the UI or API and didn't submit it, it blocks new review creation.

Solution 1: Submit the pending review

bash
# Check for pending reviews
gh api repos/{owner}/{repo}/pulls/{pr_number}/reviews | jq '.[] | select(.state=="PENDING")'

# Submit it through the UI or ask the user to submit it

Solution 2: Use the single comment endpoint instead

bash
# Add individual comments without creating a review
gh api repos/{owner}/{repo}/pulls/{pr_number}/comments \
  -f body='Comment text' \
  -f commit_id='<sha>' \
  -f path='file.tsx' \
  -F line=26 \
  -f side='RIGHT'

Issue 2: Array syntax not working with --raw-field

Failed Attempt:

bash
# This does NOT work - GitHub API receives an object, not an array
gh api repos/{owner}/{repo}/pulls/{pr}/reviews \
  --raw-field 'comments[0][path]=file1.tsx' \
  --raw-field 'comments[0][line]=15' \
  --raw-field 'comments[1][path]=file2.tsx' \
  --raw-field 'comments[1][line]=30'

Error:

Invalid request. For 'properties/comments', {"0" => {...}, "1" => {...}} is not an array.

Solution: Use JSON input via heredoc:

bash
cat <<'EOF' | gh api repos/{owner}/{repo}/pulls/{pr}/reviews --input -
{
  "comments": [...]
}
EOF

Issue 3: Invalid line number

Error Message:

Pull request review thread line must be part of the diff

Cause: The line number doesn't exist in the diff for this file.

Solutions:

  • Verify the file was actually changed in this PR
  • Check the "Files changed" tab to see actual line numbers in the diff
  • Ensure you're using the correct commit_id (the latest commit in the PR)

Issue 4: Wrong commit_id

Error Message:

commit_sha is not part of the pull request

Solution: Get the latest commit SHA:

bash
gh api repos/{owner}/{repo}/pulls/{pr_number} --jq '.head.sha'

Best Practices

1. Get PR Information First

Before adding comments, gather necessary information:

bash
# Get PR details
gh pr view {pr_number} --json headRefOid,files

# Or use the API
gh api repos/{owner}/{repo}/pulls/{pr_number} --jq '{commit: .head.sha, files: [.changed_files]}'

# List files changed
gh api repos/{owner}/{repo}/pulls/{pr_number}/files --jq '.[] | {filename: .filename, additions: .additions, deletions: .deletions}'

2. Check for Pending Reviews

bash
# Check if you have a pending review
gh api repos/{owner}/{repo}/pulls/{pr_number}/reviews \
  --jq '.[] | select(.state=="PENDING" and .user.login=="YOUR_USERNAME")'

3. Use Meaningful Comment Text

  • Be specific and constructive
  • Reference documentation or best practices
  • Suggest alternatives when requesting changes
  • Use code blocks for code suggestions:
markdown
Consider using async/await:

\`\`\`typescript
async function getData() {
  const result = await fetch(url);
  return result.json();
}
\`\`\`

4. Batch Related Comments

Use the review endpoint to group related comments:

  • All comments for a single file/area
  • All comments for a specific concern (security, performance, etc.)
  • Complete review session

5. Choose the Right Event Type

bash
# For feedback during development
"event": "COMMENT"

# When approving
"event": "APPROVE"

# When blocking merge
"event": "REQUEST_CHANGES"

Workflow Examples

Example 1: Quick Single Comment

bash
#!/bin/bash
OWNER="NeoLabHQ"
REPO="learning-platform-app"
PR=4

# Get latest commit
COMMIT=$(gh api repos/$OWNER/$REPO/pulls/$PR --jq '.head.sha')

# Add comment
gh api repos/$OWNER/$REPO/pulls/$PR/comments \
  -f body='Consider extracting this into a separate function for better testability' \
  -f commit_id="$COMMIT" \
  -f path='src/utils/validation.ts' \
  -F line=45 \
  -f side='RIGHT'

Example 2: Comprehensive Review

bash
#!/bin/bash
OWNER="NeoLabHQ"
REPO="learning-platform-app"
PR=4

# Create review with multiple comments
cat <<EOF | gh api repos/$OWNER/$REPO/pulls/$PR/reviews --input -
{
  "event": "COMMENT",
  "body": "Thanks for the PR! I've reviewed the changes and have a few suggestions.",
  "comments": [
    {
      "path": "src/components/CourseCard.tsx",
      "body": "Consider memoizing this component to prevent unnecessary re-renders",
      "side": "RIGHT",
      "line": 25
    },
    {
      "path": "src/utils/courseProgress.ts",
      "body": "This function could benefit from error handling for invalid course IDs",
      "side": "RIGHT",
      "line": 12
    },
    {
      "path": "src/state/CourseProgressState.ts",
      "body": "Consider adding JSDoc comments to document the expected behavior",
      "side": "RIGHT",
      "line": 8
    }
  ]
}
EOF

Example 3: Multi-line Comment

bash
# Comment on a range of lines (e.g., lines 10-15)
gh api repos/$OWNER/$REPO/pulls/$PR/comments \
  -f body='This entire block could be simplified using array destructuring' \
  -f commit_id="$COMMIT" \
  -f path='src/utils/parser.ts' \
  -F start_line=10 \
  -f start_side='RIGHT' \
  -F line=15 \
  -f side='RIGHT'

Helpful Helper Scripts

Get PR Files and Lines

bash
#!/bin/bash
# pr-files.sh - List all files changed in a PR with line counts

OWNER="$1"
REPO="$2"
PR="$3"

gh api repos/$OWNER/$REPO/pulls/$PR/files --jq '.[] | "\(.filename): +\(.additions)/-\(.deletions)"'

Check Review Status

bash
#!/bin/bash
# check-reviews.sh - Check review status for a PR

OWNER="$1"
REPO="$2"
PR="$3"

echo "=== Reviews ==="
gh api repos/$OWNER/$REPO/pulls/$PR/reviews --jq '.[] | "\(.user.login): \(.state) at \(.submitted_at)"'

echo -e "\n=== Pending Reviews ==="
gh api repos/$OWNER/$REPO/pulls/$PR/reviews --jq '.[] | select(.state=="PENDING") | "\(.user.login): \(.state)"'

Related Documentation

API Reference

POST /repos/{owner}/{repo}/pulls/{pull_number}/comments

Creates a review comment on a specific line.

Endpoint: https://api.github.com/repos/{owner}/{repo}/pulls/{pull_number}/comments

Parameters:

  • body (string, required): Comment text
  • commit_id (string, required): SHA of commit
  • path (string, required): Relative file path
  • line (integer, required): Line number in diff
  • side (string, required): "LEFT" or "RIGHT"
  • start_line (integer, optional): Start line for multi-line
  • start_side (string, optional): Start side for multi-line

POST /repos/{owner}/{repo}/pulls/{pull_number}/reviews

Creates a review with optional line-specific comments.

Endpoint: https://api.github.com/repos/{owner}/{repo}/pulls/{pull_number}/reviews

Parameters:

  • event (string, required): "APPROVE", "REQUEST_CHANGES", or "COMMENT"
  • body (string, optional): Overall review comment
  • comments (array, optional): Array of comment objects
  • commit_id (string, optional): SHA of commit to review

Comment Object:

  • path (string, required): Relative file path
  • body (string, required): Comment text
  • line (integer, required): Line number in diff
  • side (string, required): "LEFT" or "RIGHT"
  • start_line (integer, optional): Start line for multi-line
  • start_side (string, optional): Start side for multi-line

Frequently asked questions

What does the Attach Review To Pr AI skill do?

Add line-specific review comments to pull requests using GitHub CLI API

Why use Attach Review To Pr on TypingMind?

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

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/NeoLabHQ/context-engineering-kit/tree/master/antigravity/skills/attach-review-to-pr. TypingMind reads its SKILL.md and installs it as a skill you can enable per chat.

Which AI models can use Attach Review To 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 Attach Review To Pr?

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

Is the Attach Review To Pr AI skill free?

Yes. It is published on GitHub by NeoLabHQ under the GPL-3.0 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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