request-pr-review

request-pr-review is a skill for Claude Code from HsuanYuLee/polaris. It costs 323 tokens per session (3,559 once invoked), scanned A, original, MIT.

A workflow for finding your open GitHub pull requests and asking the right people to review them. A pull request is a proposed code change waiting for teammates to check before it is merged.

In plain words
What is it for?
Checking which of your pull requests are still awaiting review, choosing reviewers, and notifying them with the relevant pull-request or ticket details.
Why use it?
It gathers review status in one place so you do not need to inspect each repository and decide whom to notify yourself.

Skill for Claude Code

Written for Claude Code: installed under .claude/.

Good fit Checking which of your pull requests are still awaiting review, choosing reviewers, and notifying them with the relevant pull-request or ticket details.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/hsuanyulee/polaris/request-pr-review
Install

Getting it into your agent

One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.

Any agent
npx skills add HsuanYuLee/polaris --skill request-pr-review
Clone the repo
git clone --depth 1 https://github.com/HsuanYuLee/polaris

Made for: Claude Code.

Wrote this? Show the measurements

A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.

agentmods badge for request-pr-review

README.md
[![agentmods](https://agentmods.dev/badge/skills/hsuanyulee/polaris/request-pr-review/github.svg)](https://agentmods.dev/skills/hsuanyulee/polaris/request-pr-review)
Your own site
<a href="https://agentmods.dev/skills/hsuanyulee/polaris/request-pr-review"><img src="https://agentmods.dev/badge/skills/hsuanyulee/polaris/request-pr-review/github.svg" alt="Measured on agentmods" height="20"></a>

Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.

agentmods 80×15 button for request-pr-review

Your own site · 80×15
<a href="https://agentmods.dev/skills/hsuanyulee/polaris/request-pr-review"><img src="https://agentmods.dev/badge/skills/hsuanyulee/polaris/request-pr-review.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 323 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 3,559 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe. Third-party audits
  • NVIDIA SkillSpector pass 7 Sept 2026
How audits are shown
Origin original No closer match found in the catalogue.
Token cost

What it costs to keep this loaded

Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.

ModelPer sessionOnce invoked
Fable 5.1 $0.00323 $0.03559
Opus 5 $0.00161 $0.01780
Sonnet 5 $0.00065 $0.00712
Haiku 4.5 $0.00032 $0.00356

Measured 5d ago against content hash 2b0c7af414ab, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-10, from the pricing page.

Security

Grade A, and why

request-pr-review scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 5d ago.

The scan reads SKILL.md. This mod also ships 16 executable files (scripts/attach-pr-ticket.sh, scripts/check-pr-approval-status.sh, scripts/check-pr-ci-status.sh, …), listed below but not scanned — reading those needs a real analyzer, not pattern matching.

A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.

Nothing flagged

None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.

.claude/skills/request-pr-review/SKILL.md · 207 lines

How it starts

The opening of the file, as written. The whole thing — 207 lines — stays where its author put it; the contents beside it link to each section on GitHub.

request-pr-review — 請人來看已經開好的 PR

實作做完、PR 開出來了,缺的是最後一步:請同事看。這支 skill 承載那一步的全部——這批 總共有多少、分在哪些 repo、每一個現在被誰看了、要通知誰。

三步,順序固定,中間那一步是人

  1. query 名下所有 open PR,帶回每一個的 review 狀態。
  2. 列出來問使用者要怎麼處理——列的東西要足夠讓他當場決定,不用再去 GitHub 翻一遍。
  3. 照他的決定通知對的人

這支 skill 不知道的三件事

要看哪個 org、哪個 repo 通知誰、一張單長什麼樣。 三者都由認領那個 org 的 skill 在 自己的 SKILL.md 宣告,這裡掃所有 skill 找那一行:

<!-- {任意前綴}-PR-CONTEXT-{org}: {命令} -->

鍵裡那一段就是 org 名,所以掃一次同時回答「要 query 誰」與「拿到之後問誰」。一個宣告都 沒有時說出來並停下——不猜一個 org,不用占位字串當預設值

命令裡的相對路徑,錨是宣告它的那份 SKILL.md 所在的目錄,不是呼叫者當下的 cwd——核心 跑它之前會先切過去。宣告行寫得出來的只有相對路徑,而「相對於我自己」在 skill 被單獨帶到 別的環境時仍然成立,「這個 workspace 的 root 在哪」在那裡沒有答案。

宣告的命令要認得兩個模式,第一個參數就是模式名:

模式
notify --repo R 參數 這個 repo 的 PR 通知誰,格式由那一層自己定
ticket stdin:repo⇥number⇥title⇥branch repo⇥number⇥單號⇥單的 URL

ticket 走 TSV 而不是把 PR 的 JSON 丟過去:那個資料結構是這支 skill 的事,交出去等於逼 每一家公司的知識層都得認得它。這裡不認得任何一家公司的單號長什麼樣,也不該認得。

所以這裡沒有前置設定要人先準備,也不需要任何環境變數。author 沒指定時自己偵測:

MY_USER="$(gh api user --jq '.login')"

approval threshold 是公司 pack 的知識,不是這支 skill 的:幾票算看過了由那家公司說,寫在它自己 的 pack 裡(repo-notes 那支的 PR 與 review 慣例那一份)。check-pr-approval-status.sh--threshold 沒給時用 2,公司 pack 說的數字不是 2 時就帶 --threshold N。以前這裡寫「讀 workspace config 的 shared defaults」並在 pipe 裡放一個 $APPROVAL_THRESHOLD——那個鍵從來 不存在,那個變數整支 skill 沒有人賦值,讀到的永遠是腳本的預設值。

Bundled Scripts

路徑相對於本 skill 目錄。

Script 用途 輸出
scripts/resolve-pr-context.sh orgs 列出被宣告的 org;notify / ticket 轉交給認領那個 org 的命令 org 清單/那一層的答案
scripts/fetch-user-open-prs.sh 名下所有 open PR,含 org/base/head PR JSON array
scripts/check-pr-approval-status.sh approval 數、stale、被指名還沒看的 reviewer 加上 approval 欄位
scripts/fetch-pr-review-comments.sh 還沒被回覆的 actionable comments 加上 unaddressed_comments
scripts/check-pr-ci-status.sh CI 狀態 加上 ci
scripts/attach-pr-ticket.sh 這個 PR 屬於哪一張單 加上 ticket
scripts/plan-pr-notify.sh 這批要通知哪裡,逐個 repo 給建議 repo⇥狀態⇥數量⇥目的地

Read the full file on GitHub · 207 lines

Changes

What this file has done since we first saw it

Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.

  1. 5d ago Changed · +21 lines 2b0c7af414ab
  2. 11d ago First seen · 186 lines · 323 tokens per session scan A 5c941f4c0c80

Subscribe to this mod's changes

request-pr-review is a skill published in the GitHub repository HsuanYuLee/polaris (5 stars, last pushed today), licensed MIT. It adds 323 tokens to every session and 3,559 once invoked, about $0.0016 per session on Opus 5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-31.

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