Steadfast Repository Governance

Name: Steadfast Repository Governance
Author: rllibo833-sudo

作者：rllibo833-sudo版本 0.4.1i★ –i在你的电脑上运行

注册名称io.github.rllibo833-sudo/steadfast-governance

安装

概览

作者提供的说明（英文原文）

Local-first repository governance and verification tools for AI coding agents.

PopNx MCP 的三大支柱

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。

用户评价i暂无评价评价功能将在后续阶段与账户功能一起开放
我们的基础检查i1 项中通过 1 项依据公开信息检查；尚未扫描代码
使用情况i非常新↓ 79/周 · ★ –

它能帮你做什么

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。

连接方式: 在你的电脑上运行
传输方式: stdio
分类: 开发者工具

安装

选择你使用的 AI 应用，然后复制设置。

安装之前

基础检查：1 项中通过 1 项
在你的电脑上运行，拥有你的用户账户的权限（文件、网络、应用）。
注册中心没有列出需要填写的密钥。

你需要

PyPI已安装 Python 的 uv（用于 uvx 命令）

你用的是哪个应用？

ClaudeClaude CodeCursorVS CodeChatGPT

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": {
    "steadfast-governance": {
      "command": "uvx",
      "args": [
        "steadfast-governance"
      ]
    }
  }
}

在终端中运行这条命令

claude mcp add steadfast-governance -- uvx steadfast-governance

在 Cursor 中打开

或者自己复制设置

粘贴到项目中的 .cursor/mcp.json，或 ~/.cursor/mcp.json

{
  "mcpServers": {
    "steadfast-governance": {
      "command": "uvx",
      "args": [
        "steadfast-governance"
      ]
    }
  }
}

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。

在 VS Code 中打开

或者自己复制设置

粘贴到项目中的 .vscode/mcp.json

{
  "servers": {
    "steadfast-governance": {
      "type": "stdio",
      "command": "uvx",
      "args": [
        "steadfast-governance"
      ]
    }
  }
}

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。

它能做什么

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。

基础检查i

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9日

✓ 通过
作者与仓库一致
注册名称已通过 GitHub 账户 rllibo833-sudo 验证，该账户拥有此仓库
… 尚未检查
仍在维护
我们还没有从 GitHub 读取这个仓库
… 尚未检查
有许可证
我们还没有从 GitHub 读取这个仓库
– 不适用
端点有响应
它在你的电脑上运行，没有互联网端点
– 不适用
使用 OAuth 登录
在你的电脑上运行，改用本地设置
… 尚未检查
工具描述中没有隐藏指令
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“开发者工具”中的其他服务器比较i

星标数多于此分类中其他 5556 个服务器的 0%
发布到注册中心的时间比此分类中其他 5556 个服务器的 66% 更新
基础检查结果等于或优于此分类中其他 5556 个服务器的 100%

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。

常见问题

Steadfast Repository Governance 安全吗？

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。

它需要哪些密钥或代码？

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。

它在我的电脑上运行还是在云端？

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）。

它还在维护吗？

GitHub 仓库最后更新于–，最新版本（0.4.1）于13天前进入注册中心。

哪些应用可以使用它？

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 Python (uv)。

有什么可以替代它？

同一分类中有：GitHub, Desktop Commander, Cloudflare MCP

替代选择

同一分类中其他作者的服务器，按星标数排序。

如何看卡片：↓ 每周下载量i★ 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

GitHub

Connect AI assistants to GitHub - manage repos, issues, PRs, and workflows through natural language.

作者：github广泛使用★ 3.4万5天前更新

电脑或云端

安装

Desktop Commander

MCP server for terminal commands, file operations, and process management

作者：wonderwhy-er广泛使用↓ 71万/周★ 1万17天前更新

在你的电脑上运行

安装

Cloudflare MCP

Cloudflare MCP servers

作者：cloudflare广泛使用★ 444614个月前更新

在云端运行✓ mcp.cloudflare.com

安装

作者的 README

打开 README

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。

Steadfast

Repository checks and guardrails for coding agents.

Steadfast is a local-first CLI that helps developers and AI agents inspect repository health, enforce change scope, verify evidence, and spot documentation drift. It does not generate code, require an AI API key, or send repository contents to a Steadfast-hosted service.

Install the agent skills (without installing the Python CLI)

Steadfast's five reusable skills can be installed directly from this public GitHub repository with the open-source Skills CLI. This is the lightest way to try Steadfast in a supported coding agent:

npx skills add rllibo833-sudo/Steadfast

Choose the skill(s) you want when prompted. To install one specific skill, for example:

npx skills add rllibo833-sudo/Steadfast --skill repo-audit

Available skills: repo-audit, scope-guard, evidence-check, doc-sync, and release-readiness. Browse the source in skills/.

Important: these files provide agent instructions; they do not install or run the Steadfast CLI checks. For executable repository checks, use the Python installation below. Skills are intended to be reviewed before use, especially when granting an agent access to files or shell tools.

Use Steadfast in GitHub Actions

To run Steadfast checks automatically on another repository's pull requests, use the reusable composite action in kits/github-action. After reviewing and configuring Steadfast in the target repository, add this step after actions/checkout:

- uses: rllibo833-sudo/Steadfast/kits/github-action@main

with: python-version: "3.11" package-version: "0.4.1"

It runs steadfast verify and uploads a JSON report artifact. For production use, pin the action to a reviewed commit SHA or release tag. This integration is available directly from GitHub; it is not yet a GitHub Marketplace listing.

Quick start

Requires Python 3.10+ and Git.

python -m pip install --upgrade steadfast-governance

cd /path/to/your/repository steadfast onboard --agent codex steadfast verify

Replace codex with claude, cursor, or all to configure another supported agent. Review generated files before trusting a repository. Existing files are preserved by default.

For the latest unreleased source, install from Git instead:

python -m pip install --upgrade "git+https://github.com/rllibo833-sudo/Steadfast.git"

The commands most people need

Command	Purpose
`steadfast onboard`	Set up repository guidance and selected agent integration.
`steadfast verify`	Run the unified, read-only governance checks.
`steadfast report`	Generate a human-readable audit report.
`steadfast audit`	Check changed files, evidence, contracts, and documentation drift.
`steadfast discover`	Print a machine-readable capability map for tools and agents.
`steadfast universe-check`	Validate the cross-platform ecosystem manifest and its project/source references.
`steadfast universe-model`	Export a deterministic declared-facts concept graph.
`steadfast universe-infer`	Generate review-only lexical-overlap candidates; not semantic NCM inference.
`steadfast mcp-server`	Start the read-only MCP server for compatible agents.

See the quick-start guide for a short walkthrough, the MCP client setup guide to connect compatible AI clients, and the command reference for the full CLI list. For a copy-ready pull-request workflow and an adoption checklist, see Adopt in GitHub Actions.

What it checks—and what it cannot

Scope: compare changed paths with repository policy.
Evidence: check required proof files and evidence-bundle integrity.
Security signals: flag selected risky source patterns and workflow trust-boundary issues.
Documentation and code truth: detect stale command examples and package-entrypoint drift.
Goals and releases: validate goal dependencies and evaluate release readiness.
Agent support: discover skills, inspect MCP configuration, and install repo-local guidance.

These checks are guardrails, not a sandbox or proof of semantic correctness. Results depend on repository policy and configuration; review findings before treating them as release decisions. Steadfast does not silently rewrite plans or execute the configured pipeline as part of verify. Run steadfast pipeline separately only after reviewing its manifest.

Cross-platform ecosystem index

The ecosystem/ directory contains a canonical index of projects and their distributed source references. It does not copy project code or claim that remote sources are reachable. Run steadfast universe-check from the repository root to validate the manifest structure, identifiers, source references, and relationship endpoints. Remote URLs are syntax-checked only; no network requests or project files are modified. steadfast universe-infer is the original purpose-text baseline. steadfast universe-analyze scans descriptive fields across projects, sources, consumers, source references, and inventory notes; emits provenance-backed candidate concepts and project overlaps; and reports unresolved references, malformed or unresolved manifest relationships, and graph-integrity findings. It is a deterministic lexical discovery pipeline, not semantic understanding or a verified dependency engine. Each generated model also records a canonical SHA-256 digest of the exact source manifest used. It does not change the manifest, access remote source systems, or modify project sources. steadfast universe-analyze --output build/ncm-model.json saves a model and prints its digest; steadfast universe-review --model build/ncm-model.json --ledger reviews/session.json validates a separate, digest-bound human decision ledger without promoting candidates or modifying source data.

Configuration

Run steadfast init to create starter governance files. Repository policy lives in .steadfast/policy.json; pipeline steps are configured in .steadfast/pipeline.json. Treat pipeline manifests as executable configuration and review their commands before running them.

Project links

Development

python -m pip install -e .

python -m unittest discover -s tests -v steadfast docs-check steadfast code-truth

MIT licensed. See LICENSE.