agent-config

Name: agent-config
Author: event4u-app

by event4u-appversion 20.1.0i★ –iRuns on your computer

Registry nameio.github.event4u-app/agent-config

Install

Overview

Description from the maker (original English)

Governed skills, rules and commands for AI coding agents, served by a read-only MCP server.

PopNx MCP’s three pillars

These three are never merged into one score: opinions, measurements and popularity are different things.

User voiceiNo reviews yetReviews open together with accounts in a later step
Our basic checksi1 of 1 passedChecked from public information; code not scanned yet
UsageiNot measured yet★ –

What you can do with it

We have not written a plain-language summary for this one yet. Below are the facts we read from the registry.

Connection: Runs on your computer
Transport: stdio
Category: Other

Install

Pick the AI app you use, then copy the settings.

Before you install

Basic checks: 1 of 1 passed
Runs on your computer with your user’s permissions (files, network, apps).
The registry lists no key to fill in.

You need

npmNode.js installed (for the npx command)

Which app do you use?

ClaudeClaude CodeCursorVS CodeChatGPT

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": {
    "agent-config": {
      "command": "npx",
      "args": [
        "-y",
        "@event4u/agent-config",
        "mcp-server"
      ]
    }
  }
}

Run this in your terminal

claude mcp add agent-config -- npx -y @event4u/agent-config mcp-server

Open in Cursor

Or copy the settings yourself

Paste into .cursor/mcp.json in your project, or ~/.cursor/mcp.json

{
  "mcpServers": {
    "agent-config": {
      "command": "npx",
      "args": [
        "-y",
        "@event4u/agent-config",
        "mcp-server"
      ]
    }
  }
}

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.

Open in VS Code

Or copy the settings yourself

Paste into .vscode/mcp.json in your project

{
  "servers": {
    "agent-config": {
      "type": "stdio",
      "command": "npx",
      "args": [
        "-y",
        "@event4u/agent-config",
        "mcp-server"
      ]
    }
  }
}

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.

What it can do

Runs on your computer; the tool list appears in your AI app after you install it.

Basic checksi

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

✓ Pass
Maker matches the repo
The registry name was verified with the GitHub account event4u-app, which owns the repo
… Not checked yet
Still maintained
We have not read this repo from GitHub yet
… Not checked yet
Has a licence
We have not read this repo from GitHub yet
– Not applicable
Endpoint responds
This one runs on your computer; there is no internet endpoint
– Not applicable
Sign-in with OAuth
Runs on your computer and uses local settings instead
… Not checked yet
No hidden instructions in tool descriptions
Runs on your computer; we can only read tool lists from internet endpoints

Compared with others in Otheri

More stars than 0% of the other 32678 servers in this category
Published to the registry more recently than 92% of the other 32678 servers in this category
Basic checks equal to or better than 100% of the other 32678 servers in this category

Compared with every active server in this category in the registry. Stars count only when the publisher owns the repo.

Common questions

Is agent-config safe?

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.

What keys or codes does it need?

The registry does not list a required key, though some servers ask you to sign in on first use.

Does it run on my computer or in the cloud?

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).

Is it still maintained?

The GitHub repo last changed –, and the latest version (20.1.0) reached the registry 3 days ago.

Which apps can use it?

Apps that support MCP, such as Claude Desktop, Claude Code, Cursor and VS Code. You also need Node.js on your computer.

What can I use instead?

In the same category: Spec Driven Development, Remote Desktop Commander, Starreel

Alternatives

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

Spec Driven Development

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MCP Server that facilitates spec-driven development workflows, not just Vibe Coding.

Runs on your computer★ 440MITUpdated 14 months ago

Install

Remote Desktop Commander

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Remote Desktop Commander: use files, terminal and processes on your own computers from any AI app.

Runs in the cloud★ 211Updated 2 days ago

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Starreel

by starreel

Turn a script into a finished, downloadable short-drama episode — via MCP or REST.

Runs on your computerUpdated today

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README from the maker

Open the README

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.

Installs into your user-level AI tool configuration; your repository only gets an agents/overrides/ folder for your own changes. Works with 20 AI coding tools .

Agent Config — teach your AI coding agents to check their work before they say done

Install once. Your AI coding tools are told to plan, test and verify before they say done; on Claude Code a turn that changed files without checking them can be stopped.

npx -y @event4u/agent-config init

Free and MIT-licensed. Node 22.6 or newer on macOS, Linux or WSL2. Costs more tokens: 7.8× a run with no rules on Claude Haiku as installed, 2.9× with only the core rules. What it costs →

On a desktop this opens a browser wizard: pick your role and your tools, click Finish. Nothing is written before you do.

Try it in 30 seconds

Not ready to install anything? Drop one read-only checker into your repo and ask it whether your branch is really done:

mkdir -p .claude/agents

curl -fsSL https://raw.githubusercontent.com/event4u-app/agent-config/main/docs/wedge/production-validator/production-validator.md \ -o .claude/agents/production-validator.md

then in Claude Code: @production-validator check this branch is actually done

production-validator reads the code that would ship, hunts mocks and placeholders on that path and asks for proof that it ran. It changes nothing. What it checks →

What changes

Before. You ask your agent to add a CSV export. It writes a handler that returns a hard-coded placeholder, the existing tests stay green and it replies "Done — export implemented." Nothing ever ran the new code.

After. In Claude Code you ask @production-validator whether the branch is really done. It reads the code that would ship, finds the placeholder and answers NOT READY with the exact file and line. On a branch that is really finished it answers READY and reports nothing. We tested this on two cases: one with a placeholder left in, one finished.

On Claude Code the package can also refuse to let a turn end on "done" when the agent changed files and ran nothing to check them. On every other tool that is an instruction the agent is asked to follow, not a block.

What your agent is asked to do

Default behavior	With agent-config
Guess and edit blindly	Analyze code before changing it
Drift from project conventions	Follow detected stack conventions
Skip or invent tests	Write tests in the project's framework
Generic commit messages	Conventional Commits with scope + ticket links
Skip quality checks	Run the project's quality pipeline and fix reported errors
Open PRs without context	Structured PR descriptions from Jira / Linear / GitHub
Claim "done" without proof	Verify with real execution before claiming done

It changes what the agent is told to do, not how smart the model is. Re-measured in November 2026 after a scorer repair, the full install's discipline gain on Claude Haiku was not significant and Claude Sonnet showed no gain; only the small core rule set kept a significant gain on Haiku. We publish results like that one instead of hiding them. The whole story →

How it fits together

One install gives the agent you already use a set of skills, agent rules and slash commands. Rules that matter on every task are always on; the narrower ones load when a task needs them. See every slash command →

What it costs

More tokens. On Claude Haiku, on two scope-discipline tasks, the install as shipped cost 7.8× a run with no rules; the core rules alone (kernel plus downstream-changes) cost 2.9×. The discipline_profile setting does not yet change what a Claude install loads.
Blocking on Claude Code only and only while its hooks run. A host setting can switch them off and a user-installed mod can lift a refusal; agent-config doctor neighbours lists installed mods. Elsewhere the rules are instructions: they cut violations but do not remove them.
Network. By default nothing leaves your machine except the daily update check against the npm registry and a daily question to GitHub, through your own gh login, whether a pull request you pushed has merged. The update check is off in CI, without a terminal or with AGENT_CONFIG_NO_UPDATE_CHECK=1. Telemetry is off. The second-opinion feature is off until you set it up; then it sends work to other AI providers with your own API keys, which bill you. What leaves your machine →
Your machine. Node 22.6 or newer. Standing cost of the always-on rules per tool: table.
Your way out. agent-config uninstall --global removes only its own entries and leaves other tools' config untouched.

Benchmark and cost, explained →

See what a change touches

agent-config code-graph map --open draws a local map of your repository: who calls what, which tests cover it, data, interfaces and delivery. Pick a file and every area it reaches lights up. It runs offline and keeps file:line for every fact.

Open the demo map → (sample project, not your code) · Code map →

Pick your profile

The wizard asks for your role and installs a focused set for it instead of the whole catalog. Most of them are not engineering roles.

Profile	For	Starts you with
`developer` (default)	Engineers who ship code	`/work`, `/implement-ticket`, `/review:changes`, `/commit`
`founder`	Solo and early-stage founders	`/work`, `/feature`, `/challenge-me`; skills for vision, prioritisation and runway
`content_creator`	Writers, ghostwriters, marketers	`/work`, `/ghostwriter`, `/post-as`, cinematic AI video storyboards
`agency`	Shops delivering for several clients	`/work`, `/implement-ticket`, `/refine-ticket`, `/roadmap`
`finance`	CFOs, fractional finance, FP&A	`/work`, `/challenge-me`; skills for forecasting and unit economics
`ops`	RevOps, support, SRE-adjacent work	`/work`, `/threat-model`, `/review:changes`; skills for incidents and logging

Choose a profile →

Workflows

You start a piece of work, not a list of commands. These cover most days:

Command	What it does for you
`/work " "`	Takes a free-form request through refine, plan, implement, test and verify, and reports back; it never commits for you.
`/implement-ticket`	The same loop for a ticket: it refines the ticket first and stops to ask when something is ambiguous.
`/review:changes`	Reviews your local diff before the PR with focused reviewers (bugs, security, tests, quality, architecture, spec, overbuild) and merges their verdicts.
`/commit`	Stages your changes and commits them as logical Conventional Commits, after showing you the split.
`agent-config doctor`	Checks the install and reports anything missing or changed on disk, with the next command to fix it.

When a request is unclear the agent stops and asks with numbered options instead of guessing. Implement a change →

Use it in your project

Start with the Quickstart below; the full walk-through is on the site. Install →

Prove it

Every measured figure in this README carries a marker that points at a recorded, re-runnable piece of evidence. The build fails when one stops resolving. The proof page lists each claim with its evidence, including the runs where the package changed nothing, plus commands you run yourself on a fresh checkout. Verify it yourself →

Contribute

Skills, rules and commands are plain Markdown under src/; one command rebuilds every tool's copy and runs the checks. Development has the loop. Contributing guide →

Quickstart

npx -y @event4u/agent-config init                              # browser wizard on a desktop

npx -

Only the beginning is shown; read the rest in the repo

agent-config

Overview

PopNx MCP’s three pillars

What you can do with it

Install

Before you install

What it can do

Basic checksi

Maker matches the repo

Still maintained

Has a licence

Endpoint responds

Sign-in with OAuth

No hidden instructions in tool descriptions

Compared with others in Otheri

Common questions

Alternatives

Spec Driven Development

Remote Desktop Commander

Starreel

README from the maker

Agent Config — teach your AI coding agents to check their work before they say done

Try it in 30 seconds

then in Claude Code: @production-validator check this branch is actually done

What changes

What your agent is asked to do

How it fits together

What it costs

See what a change touches

Pick your profile

Workflows

Use it in your project

Prove it

Contribute

Quickstart