GitHub
Connect AI assistants to GitHub - manage repos, issues, PRs, and workflows through natural language.
作者提供的说明(英文原文)
Reading order for big pull requests: what to read first, what can wait. Offline, no model.
这三项永远不会合并成一个分数:意见、测量和人气是不同的东西。
我们还没有为它写通俗的介绍。下面是我们从注册中心读取到的事实。
选择你使用的 AI 应用,然后复制设置。
你需要
你用的是哪个应用?
在上方选择你的应用。我们会记住它,下次按钮会显示“安装到 …”。
打开 Claude Desktop → Settings → Developer → Edit Config,把下面的内容粘贴到 claude_desktop_config.json
{
"mcpServers": {
"skimless": {
"command": "npx",
"args": [
"-y",
"skimless",
"mcp"
]
}
}
}在终端中运行这条命令
claude mcp add skimless -- npx -y skimless mcp粘贴到项目中的 .cursor/mcp.json,或 ~/.cursor/mcp.json
{
"mcpServers": {
"skimless": {
"command": "npx",
"args": [
"-y",
"skimless",
"mcp"
]
}
}
}浏览器会先询问是否打开应用,然后应用会显示设置并请你确认。密钥的值会留空,由你自己填写。
粘贴到项目中的 .vscode/mcp.json
{
"servers": {
"skimless": {
"type": "stdio",
"command": "npx",
"args": [
"-y",
"skimless",
"mcp"
]
}
}
}浏览器会先询问是否打开应用,然后应用会显示设置并请你确认。密钥的值会留空,由你自己填写。
这个服务器在你的电脑上运行,而 ChatGPT 只能连接互联网上的服务器。请选择其他应用。
你的选择通过 Cookie 保存在这台设备上,无需账户。
这些设置是根据作者在注册中心的条目生成的。如果 README 的写法不同,请以 README 为准。
它在你的电脑上运行;安装后,工具列表会显示在你的 AI 应用中。
我们检查的是任何人都能看到的信息;我们没有阅读代码。不适用的检查项不计入总数。 · 检查于 2026年11月7日
注册名称已通过 GitHub 账户 pedroofrancaa 验证,该账户拥有此仓库
我们还没有从 GitHub 读取这个仓库
我们还没有从 GitHub 读取这个仓库
它在你的电脑上运行,没有互联网端点
在你的电脑上运行,改用本地设置
它在你的电脑上运行;我们只能读取互联网端点的工具列表
与注册中心里这个分类中所有活跃的服务器比较。只有当发布者拥有该仓库时,星标数才计入。
它在 1 项适用的基础检查中通过了 1 项。我们没有阅读代码。在添加密钥或令牌之前,请先看看这个服务器要求哪些权限,并使用只具备所需权限的密钥。
注册中心没有列出必需的密钥,不过有些服务器会在首次使用时要求你登录。
它在你的电脑上运行。你的 AI 应用会在需要时启动它,数据不会经过作者的服务器(除非它自己调用在线服务)。
GitHub 仓库最后更新于–,最新版本(0.1.2)于上个月进入注册中心。
支持 MCP 的应用,例如 Claude Desktop、Claude Code、Cursor 和 VS Code。你的电脑上还需要有 Node.js。
同一分类中有:GitHub, Desktop Commander, Cloudflare MCP
同一分类中其他作者的服务器,按星标数排序。
如何看卡片:★ GitHub 星标i三大支柱:评价 · 检查 · 使用情况i更新 = 最新版本发布到注册中心的时间i
Connect AI assistants to GitHub - manage repos, issues, PRs, and workflows through natural language.
MCP server for terminal commands, file operations, and process management
Cloudflare MCP servers
按原文从作者的仓库复制。PopNx MCP 没有审查或背书其内容。HTML、图片和脚本已被移除。链接会离开本站。
English · Português
The reading order for pull requests that got too big.
Skimless turns a diff into a packet: what to read first, which files can wait, and which lines deserve a human. It runs on your machine. It does not call a model, post a comment, or phone home.
Zero runtime dependencies. Node.js 22 or newer. A CLI, a GitHub Action, a library, and an MCP server for AI agents. Packets in English and Portuguese.
npx skimless demo
skimless Do not skim this one
14 files · +86 −8 · about 2 min. 5 high-priority findings. First pass: index.ts, fixture.ts, verify.ts.
1 src/api/index.ts Public export changed 2 src/webhooks/fixture.ts Secret-shaped string added 3 src/webhooks/verify.ts Signature compared with == 4 .github/workflows/release.yml Workflow grants write permissions 5 src/billing/invoice.ts Billing path changed 6 test/webhooks/verify.test.ts Test file deleted 7 migrations/2026_09_23_api_keys.sql 8 src/billing/charge.ts 9 package.json Dependency manifest changed 10 Dockerfile 11 test/billing/charge.test.ts Can wait 12 docs/webhooks.md Can wait 13 package-lock.json Can wait 14 src/generated/types.ts Can wait
The sample verify.ts calls timingSafeEqual on a buffer compared with itself. Skimless has no rule for that. It puts the file third, under the live-shaped key, so a person sees it. That is the product: a path through the diff, not a verdict.
English packet · Pacote em português · A real diff: Express 4.21.2 → 5.0.0
Pull requests written with an agent get big. The reviewer opens the first file, gets tired, and approves the lockfile with the same glance they would give a migration. Skimless tells you where skimming is safe and where it is not: the public API first, the sharp edges next, the noise at the end. The score is a reading priority. A quiet packet does not prove the diff is safe.
npx skimless demo
npx skimless demo --lang pt --format html --out skimless.html npx skimless review --base origin/main --format all --out skimless --fail-on high
Or install it once with npm install -g skimless and call skimless.
--format all writes skimless.html, skimless.md, and skimless.json. Secret-shaped strings are redacted unless you pass --no-redact. --fail-on defaults to none locally. In CI, use high.
On a generated 2,000-file diff, a review packet comes back in about 100 ms on a laptop. npm run bench prints the number for your machine.
import { redactPacket, reviewDiff } from "skimless";
const packet = redactPacket(reviewDiff(patch, { order: "story", lang: "pt", budgetMinutes: 25 })); packet.readingOrder.forEach((stop) => console.log(stop.path, stop.reason));
story is the default: API and types, then auth, signing, billing, migrations, and CI, then manifests, then the rest, then tests, docs, lockfiles, and generated code. A high finding jumps its file up into the sharp band. risk sorts by score alone.Copy examples/skimless.config.json to skimless.config.json to set the budget, ignore globs, and the CI failure level.
- uses: actions/checkout@v4
with: fetch-depth: 0
The action needs no token and posts no comment. The reading order and findings land in the job summary, on the pull request's Checks page. It passes inputs through the environment, then to git diff as arguments, never stitched into a shell string. docs/ci.md has the full workflow, every input, and a GitLab CI job.
skimless mcp is an MCP server. Claude Code, Cursor, VS Code, and other agents can ask for the reading order before they review a change, then read the files in that order.
claude mcp add skimless -- npx -y skimless mcp
Skimless still does not call a model. It serves one. Secret-shaped strings are always redacted in MCP responses, so a live key in the diff never reaches the agent's context. docs/mcp.md has the setup for each client, the tool arguments, and prompts that work.
npm install
npm test npm run check node --experimental-strip-types src/cli.ts demo
Day to day, the CLI runs the TypeScript source directly. npm run build emits dist/, which is what npm ships.
Rules, reading order, and the library surface are described in docs/. The contributor notes are in CONTRIBUTING.md. The project is MIT, in GOVERNANCE.md terms: one maintainer at the start, decisions in the open, no pretended community.
MIT