Pr Review Comments logo

Pr Review Comments

Community
giuseppe-trisciuoglio
pr-review-comments

Posts review findings from a JSON file as inline comments on a GitHub Pull Request, attaching each comment to its file and line. Use when you have a list/JSON of review findings (each with a file path, line number, and a message such as summary/failure_scenario) and want them published on a PR as inline review comments. Triggers include "post these review comments on the PR", "associate comments to files in the PR", "publish review findings to PR

Overview

Publishergiuseppe-trisciuoglio
Repositorydeveloper-kit
Skill namepr-review-comments
Stars
345
Forks
41
Bundled files
2
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.

  • 2 bundled files

    Scripts, templates, and references the model can read while it works. Files are read-only and never executed.

  • Open source

    Published by giuseppe-trisciuoglio on GitHub. Read the source before you install it.

Installation

Install the Pr Review Comments 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/giuseppe-trisciuoglio/developer-kit.git /tmp/developer-kit
mkdir -p .claude/skills
cp -r /tmp/developer-kit/plugins/developer-kit-core/skills/pr-review-comments .claude/skills/pr-review-comments
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Pr Review Comments 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 Comments 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 Comments 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 Review Comments

Publish a JSON array of review findings as inline comments on a GitHub Pull Request, each anchored to its file and line. Uses the GitHub API through the authenticated gh CLI, so no token handling is needed.

Prerequisites

  • gh CLI installed and authenticated (gh auth status). The script auto-detects the repo with gh repo view; pass --repo OWNER/REPO to override.
  • The PR number to comment on.
  • A JSON file: an array of objects. Required keys per object: file, line. Message comes from summary and/or failure_scenario (combined into the body), or an explicit body. See references/json-schema.md for the full schema and a sample.

Key constraint: only diff lines are commentable

GitHub only accepts an inline comment if the target line is part of the PR's diff. line is the line number in the new file (use side: "LEFT" for removed lines). The script fetches the PR diff, validates every finding against the actual hunks, and skips any whose line is outside the diff — reporting them at the end so nothing is lost silently. There is no way to attach a line comment to an unchanged, undiffed line.

Workflow

  1. Confirm the JSON path and the PR number. If the repo isn't obvious, run gh repo view.
  2. Dry-run first to see what will be posted and what gets skipped:
    bash
    scripts/post_pr_comments.py --pr <N> --json <path> --dry-run
  3. Review the "Postable" / "Skipped" counts with the user. If lines were skipped because the diff moved, the line numbers in the JSON may be stale — reconcile before posting.
  4. Post for real, choosing the mode (see below):
    bash
    # Grouped (default): one PR review bundling all comments
    scripts/post_pr_comments.py --pr <N> --json <path> --event COMMENT
    
    # Individual: one separate inline comment per finding
    scripts/post_pr_comments.py --pr <N> --json <path> --mode individual
  5. Report back the created review/comment URLs and the list of any skipped findings.

Choosing the mode

ModeEndpointUse when
grouped (default)POST /pulls/{n}/reviewsPublishing a set of findings as one review. One notification; can set --event APPROVE | REQUEST_CHANGES | COMMENT.
individualPOST /pulls/{n}/commentsAdding standalone comments incrementally, or when each finding should be its own thread/notification.

Default to grouped with --event COMMENT unless the user wants a verdict or separate threads.

Options reference

--pr N              PR number (required)
--json PATH         JSON array of findings (required)
--repo OWNER/REPO   Override auto-detected repo
--mode grouped|individual   Default: grouped
--event COMMENT|APPROVE|REQUEST_CHANGES   Grouped-mode verdict (default COMMENT)
--review-body TEXT  Top-level summary body for the grouped review
--commit SHA        Commit to anchor to (default: PR head SHA)
--dry-run           Validate and print payloads without posting

Notes

  • Multi-line range comments: include start_line (and optional start_side) in the JSON object alongside line; the script passes them through.
  • Always --dry-run before a real post on an unfamiliar PR — stale line numbers are the most common failure and the dry-run surfaces them as "skipped" without side effects.
  • The script is the reliable path; don't hand-roll gh api calls for this — it handles diff validation, repo/commit detection, and body assembly consistently.

Bundled files

The model reads these on demand while the skill is loaded. They are exposed as readable files and are never executed.

Frequently asked questions

What does the Pr Review Comments AI skill do?

Posts review findings from a JSON file as inline comments on a GitHub Pull Request, attaching each comment to its file and line. Use when you have a list/JSON of review findings (each with a file path, line number, and a message such as summary/failure_scenario) and want them published on a PR as inline review comments. Triggers include "post these review comments on the PR", "associate comments to files in the PR", "publish review findings to PR

Why use Pr Review Comments on TypingMind?

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

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/giuseppe-trisciuoglio/developer-kit/tree/main/plugins/developer-kit-core/skills/pr-review-comments. TypingMind reads its SKILL.md and bundles its files and installs it as a skill you can enable per chat.

Which AI models can use Pr Review Comments?

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 Comments?

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

Is the Pr Review Comments AI skill free?

Yes. It is published on GitHub by giuseppe-trisciuoglio 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.

View all

Set up your own AI workspace now

Get notified about new features and future giveaways by subscribing to our newsletter 👇