GitHub
GitHub’s official server lets AI read and manage code, issues and pull requests in your account. Use GitHub’s hosted version or run it locally with Docker.
Description from the maker (original English)
Reading order for big pull requests: what to read first, what can wait. Offline, no model.
These three are never merged into one score: opinions, measurements and popularity are different things.
We have not written a plain-language summary for this one yet. Below are the facts we read from the registry.
Pick the AI app you use, then copy the settings.
You need
Which app do you use?
Pick your app above. We remember it, so next time the button says “Install in …”.
Open Claude Desktop → Settings → Developer → Edit Config, and paste this into claude_desktop_config.json
{
"mcpServers": {
"skimless": {
"command": "npx",
"args": [
"-y",
"skimless",
"mcp"
]
}
}
}Run this in your terminal
claude mcp add skimless -- npx -y skimless mcpPaste into .cursor/mcp.json in your project, or ~/.cursor/mcp.json
{
"mcpServers": {
"skimless": {
"command": "npx",
"args": [
"-y",
"skimless",
"mcp"
]
}
}
}Your browser asks to open the app, then the app shows the settings and asks you to confirm. Key values are left empty for you to fill in.
Paste into .vscode/mcp.json in your project
{
"servers": {
"skimless": {
"type": "stdio",
"command": "npx",
"args": [
"-y",
"skimless",
"mcp"
]
}
}
}Your browser asks to open the app, then the app shows the settings and asks you to confirm. Key values are left empty for you to fill in.
This one runs on your computer, and ChatGPT can only connect to servers on the internet. Pick another app.
Your choice stays on this device in a cookie; no account needed.
These settings are generated from the maker’s registry entry. If the README says otherwise, follow the README.
Runs on your computer; the tool list appears in your AI app after you install it.
We check information anyone can see; we have not read the code. Checks that do not apply are left out of the count. · Checked Nov 7, 2026
The registry name was verified with the GitHub account pedroofrancaa, which owns the repo
We have not read this repo from GitHub yet
We have not read this repo from GitHub yet
This one runs on your computer; there is no internet endpoint
Runs on your computer and uses local settings instead
Runs on your computer; we can only read tool lists from internet endpoints
Compared with every active server in this category in the registry. Stars count only when the publisher owns the repo.
It passed 1 of 1 applicable basic checks. We have not read the code. Before adding a key or token, see what access the server asks for and use a key with only the permissions you need.
The registry does not list a required key, though some servers ask you to sign in on first use.
It runs on your computer. Your AI app starts it when needed, and data does not pass through the maker’s servers (unless it calls an online service itself).
The GitHub repo last changed –, and the latest version (0.1.2) reached the registry last month.
Apps that support MCP, such as Claude Desktop, Claude Code, Cursor and VS Code. You also need Node.js on your computer.
In the same category: GitHub, Desktop Commander, Cloudflare MCP
Servers in the same category from other makers, sorted by stars.
Reading a card:★ GitHub starsiThree pillars: reviews · checks · usageiUpdated = latest version published to the registryi
GitHub’s official server lets AI read and manage code, issues and pull requests in your account. Use GitHub’s hosted version or run it locally with Docker.
MCP server for terminal commands, file operations, and process management
Cloudflare MCP servers
Copied from the maker’s repo as written. PopNx MCP has not reviewed or endorsed it. HTML, images and scripts are removed. Links lead off this site.
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