Gh Review Requests

OrganizationPopular

getsentry

gh-review-requests

Fetch unread GitHub notifications for open PRs where review is requested from a specified team or opened by a team member. Use when asked to "find PRs I need to review", "show my review requests", "what needs my review", "fetch GitHub review requests", or "check team review queue".

Overview

Publisher	getsentry
Repository	`skills`
Skill name	`gh-review-requests`
Stars	1K
Forks	53
Bundled files	1
License	Apache-2.0
Links	Skill source Repository

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.
1 bundled files
Scripts, templates, and references the model can read while it works. Files are read-only and never executed.
Open source
Published by getsentry on GitHub. Read the source before you install it.

Installation

Install the Gh Review Requests AI skill in TypingMind to use it with any LLM, or drop it into another agent that reads SKILL.md.

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.

Open the app and go to Plugins → Skills.
Choose "Install from GitHub".
Paste the skill folder URL below and confirm.
https://github.com/getsentry/skills/tree/main/skills/gh-review-requests
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.

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/getsentry/skills.git /tmp/skills
mkdir -p .claude/skills
cp -r /tmp/skills/skills/gh-review-requests .claude/skills/gh-review-requests

Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Gh Review Requests 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 Gh Review Requests 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 Gh Review Requests 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.

GitHub Review Requests

Fetch unread review_requested notifications for open (unmerged) PRs, filtered by a GitHub team.

Requires: GitHub CLI (gh) authenticated.

Requires: The uv CLI for python package management, install guide at https://docs.astral.sh/uv/getting-started/installation/

Step 1: Identify the Team

If the user has not specified a team, ask:

Which GitHub team should I filter by? (e.g. streaming-platform)

Accept either a team slug (streaming-platform) or a display name ("Streaming Platform") — convert to lowercase-hyphenated slug before passing to the script.

Step 2: Run the Script

bash
uv run scripts/fetch_review_requests.py --org getsentry --teams <team-slug>

To filter by multiple teams, pass a comma-separated list:

bash
uv run scripts/fetch_review_requests.py --org getsentry --teams <team slugs>

Script output

json
{
  "total": 3,
  "prs": [
    {
      "notification_id": "12345",
      "title": "feat(kafka): add workflow to restart a broker",
      "url": "https://github.com/getsentry/ops/pull/19144",
      "repo": "getsentry/ops",
      "pr_number": 19144,
      "author": "bmckerry",
      "reasons": ["opened by: bmckerry"]
    }
  ]
}

reasons will contain one or both of:

"review requested from: <Team Name>" — the team is a requested reviewer
"opened by: <login>" — the PR author is a team member

Step 3: Present Results

Display results as a markdown table with full URLs:

#	Title	URL	Reason
1	feat(kafka): add workflow to restart a broker	https://github.com/getsentry/ops/pull/19144	opened by: evanh

If total is 0, say: "No unread review requests found for that team."

Fallback

If the script fails, run manually:

bash
gh api notifications --paginate

Then for each review_requested notification, check:

gh api repos/{repo}/pulls/{number} — skip if state == "closed" or merged_at is set
gh api repos/{repo}/pulls/{number}/requested_reviewers — check teams[].name
gh api orgs/{org}/teams/{slug}/members — check if author is a member

Bundled files

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

scripts/fetch_review_requests.py3 KB

Frequently asked questions

What does the Gh Review Requests AI skill do?

Why use Gh Review Requests on TypingMind?

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

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/getsentry/skills/tree/main/skills/gh-review-requests. 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 Gh Review Requests?

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 Gh Review Requests?

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

Is the Gh Review Requests AI skill free?

Yes. It is published on GitHub by getsentry under the Apache-2.0 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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Overview

Installation

Install in TypingMind

Install in another agent

Use it in TypingMind

Works with any AI model

Skill instructions

GitHub Review Requests

Step 1: Identify the Team

Step 2: Run the Script

Script output

Step 3: Present Results

Fallback

Bundled files

Frequently asked questions

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