原型 · 预览版:收录官方注册中心里的全部服务器,每 30 分钟同步一次。评价和账户功能将在后续阶段推出。
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Evolveguard

作者:RudrenduPaul版本 0.1.4i★ –i在你的电脑上运行
注册名称io.github.RudrenduPaul/evolveguard

安装

概览

作者提供的说明(英文原文)

Wraps the evolveguard CLI as a single generic MCP tool for agent-skill file safety checks.

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。

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: 其他

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?

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": {
    "evolveguard": {
      "command": "uvx",
      "args": [
        "evolveguard-cli",
        "evolveguard-mcp"
      ]
    }
  }
}

在终端中运行这条命令

claude mcp add evolveguard -- uvx evolveguard-cli evolveguard-mcp

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": {
    "evolveguard": {
      "command": "uvx",
      "args": [
        "evolveguard-cli",
        "evolveguard-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。

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": {
    "evolveguard": {
      "type": "stdio",
      "command": "uvx",
      "args": [
        "evolveguard-cli",
        "evolveguard-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7日

  • ✓ 通过

    作者与仓库一致

    注册名称已通过 GitHub 账户 RudrenduPaul 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“其他”中的其他服务器比较i

  • 星标数多于此分类中其他 32589 个服务器的 0%
  • 发布到注册中心的时间比此分类中其他 32589 个服务器的 23% 更新
  • 基础检查结果等于或优于此分类中其他 32589 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

Evolveguard 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(0.1.4)于3个月前进入注册中心。

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:Spec Driven Development, Remote Desktop Commander, Detailing Manager

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:★ 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

Spec Driven Development

作者:formulahendry

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

在你的电脑上运行★ 440MIT14个月前更新
安装

Remote Desktop Commander

作者:desktop-commander

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

在云端运行★ 211昨天更新
安装

Detailing Manager

作者:RadoslavMoshev

Connect your auto detailing studio's tasks, cars, clients and revenue to Claude or ChatGPT.

在你的电脑上运行今天更新
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。

evolveguard

What it does • Quickstart • CLI reference • Agent-native usage • MCP server • How it compares • FAQ

Catch behavioral drift when a Claude Agent Skill or a Claude Code MEMORY.md file edits itself, before the edit ships.

# PyPI -- Python CLI + library (genuine port, not a Node wrapper)

pip install evolveguard-cli

# npm -- JavaScript/TypeScript CLI + library

npm install -g evolveguard-cli

[!NOTE]

Both packages are live and named consistently: evolveguard-cli on PyPI and

evolveguard-cli on npm (renamed 2026-07-19 from the old plain evolveguard,

which is now deprecated on both registries). npm install -g evolveguard-cli and

pip install evolveguard-cli both work today; the demo GIFs below were recorded

against the published packages, not a local build.

What it does

evolveguard record ./SKILL.md --fixtures ./fixtures.json

... skill gets edited, by a human or an agent ...

evolveguard check ./SKILL.md

EvolveGuard v0.2.0 -- Regression Check skill: monorepo-scanner baseline: 2026-07-15 fixtures: 1

[DRIFT] fixture: "scan a monorepo" new tool call: fs.write (baseline had none) -> new tool call: fs.write (baseline had none) -- this edit introduces a capability the baseline never used

0 PASS, 1 DRIFT, 0 FAIL exit code 1 (DRIFT blocks merge by default; override with --allow-drift)

That's real output from this repo's own fixtures/labeled-non-breaking-edits/case-03-add-write-capability/ test case, wired to filesystem: read-only becoming read-write in the skill's frontmatter. Reproduce it yourself: evolveguard record the before/SKILL.md in that folder against its fixtures.json, then evolveguard check the after/SKILL.md.

Features

Static analysis, not a live agent run. record parses a skill file's YAML frontmatter (declared tools, network, filesystem, scope, and any bundled hooks), scans the skill's body text and hook scripts for evidence of network calls or filesystem writes, and combines both into a capability surface. check re-parses the edited file with the same logic and diffs the result. Neither command runs eval, shells out to a subprocess, or executes a skill's hook scripts, in either the TypeScript or the Python distribution.

Two-level diffing catches drift a single fixture can miss. Each fixture's expectedToolCalls filters the recorded capability surface down to what that fixture cares about, but check also diffs the skill's _whole_ capability surface separately. A new capability that no fixture's expectedToolCalls happens to cover still shows up as a surfaceChanges entry instead of passing silently. Confirmed against this repo's own case-04-scope-widened fixture, where a fs.write scope widens from ./workspace/** to ./**.

0% false positives on a labeled corpus, reproducibly. npx vitest run src/evolveguard/benchmark.test.ts runs the record/check/diff pipeline against fixtures/labeled-non-breaking-edits/: 2 cases hand-labeled non-breaking (a wording tweak, a typo fix) and 3 labeled breaking (a new write capability, a widened scope, a hook script gaining a network call). As of this commit, both non-breaking cases stay clean: 0 of 2 flagged as drift. The corpus is small and grows as more real skill edits get reported.

A path-traversal guard on hook scripts. A skill's declared hook paths are resolved and validated against that skill's own directory before being read, including a symlink-escape re-check that runs after the lexical containment check passes (src/evolveguard/paths.ts and python/src/evolveguard/paths.py).

Every subcommand supports `--json`. record, check, and report all take a --json flag and return a stable schemaVersion-tagged structure, so a coding agent can call any of them as a subprocess and parse the result directly.

Two independently maintained, format-compatible distributions. The npm package (TypeScript, repo root) and the PyPI package (Python, python/) parse the same frontmatter schema and produce byte-compatible baseline and report JSON. A baseline recorded with one CLI can be checked with the other; see docs/concepts.md for the file-format details.

evolveguard detects changes in what a skill is _declared or shown_ to be capable of. It does not run a live LLM agent or replay a real conversation transcript, so it cannot tell you whether an agent would actually behave differently on a given prompt. That is an intentional scope limit, and also why it needs nothing hosted and runs fully offline in a pre-commit hook or CI job.

Quickstart

# 1. Record a baseline against a skill and its labeled fixtures

evolveguard record ./skills/my-skill/SKILL.md --fixtures ./fixtures/my-skill.json

writes ./skills/my-skill/.evolveguard-baseline.json

2. Edit the skill (by hand, or let an agent edit it)

3. Check for drift

evolveguard check ./skills/my-skill/SKILL.md

writes ./evolveguard-report.json, exits 1 if drift was found

A fixtures file is a JSON array of labeled prompts and the tool-call shapes each one is expected to touch:

[

{ "id": "scan-a-monorepo", "prompt": "scan a monorepo", "expectedToolCalls": [{ "tool": "fs.read" }, { "tool": "fs.write" }] } ]

expectedToolCalls is optional; omit it and the fixture is treated as exercising the skill's entire capability surface. scopeMatches (a glob) narrows a tool to a specific filesystem scope, e.g. { "tool": "fs.write", "scopeMatches": "./workspace/**" }.

CLI command reference

Generated from the actual --help output of the installed CLI (verified against both the npm and PyPI builds; flags and defaults are identical across distributions).

evolveguard --help

Usage: evolveguard [options] [command]

Regression-testing CLI for self-edited Claude Agent Skills (SKILL.md, MEMORY.md) -- golden-transcript record/replay against a skill's own declared and inferred capability surface, zero hosted infrastructure.

Options: -V, --version output the version number -h, --help display help for command

Commands: record [options] Record a golden-transcript baseline for a skill against a set of labeled fixtures check [options] Replay the fixtures from a baseline against the current (possibly edited) skill and report drift report [options] [reportPath] Print a previously generated evolveguard-report.json mcp [coming soon] Expose record/check/report as MCP tools for a coding agent to call mid-session help [command] display help for command

evolveguard record --help

Usage: evolveguard record [options] <skillPath>

Record a golden-transcript baseline for a skill against a set of labeled fixtures

Arguments: skillPath path to the SKILL.md or MEMORY.md file to baseline

Options: --fixtures path to a fixtures JSON file (array of {id, prompt, expectedToolCalls?}) --baseline path to write the baseline file (default: /.evolveguard-baseline.json) --json output structured JSON instead of human-readable text (default: false) -h, --help display help for command

evolveguard check --help

Usage: evolveguard check [options] <skillPath>

Replay the fixtures from a baseline against the current (possibly edited) skill and report drift

Arguments: skillPath path to the SKILL.md or MEMORY.md file to check

Options: --baseline path to the baseline file (default: /.evolveguard-baseline.json) --report path to write the report file (default: "./evolveguard-report.json") --allow-drift exit 0 even if drift is detected (drift is still reported) (default: false) --json output structured JSON instead of human-readable text (default: false) -h, --help display help for command

evolveguard report --help

Usage: evolveguard report [options] [reportPath]

Print a previously generated evolveguard-report.json

Arguments: reportPath path to the report file (default: "./evolveguard-report.json")

Options: --json output structured JSON instead of human-readable text (default: false) -h, --help display help for command

Exit codes: 0 all fixtures PASS and no surface-level drift, 1 at least one DRIFT was found (pass --allow-drift to still exit 0 while still reporting it), 2 a usage error or a file that failed to parse.

[!WARNING]

The npm build's evolveguard --version currently prints 0.1.0 even though the

published package is at a newer package.json version; the PyPI build reads its version

from installed package metadata and reports it correctly. Use the badges above, not

--version, if you need the exact currently-published version number of the npm package.

Agent-native usage

Every subcommand supports --json for structured output an agent can parse directly:

evolveguard check ./SKILL.md --json
{

"schemaVersion": 1, "skillName": "monorepo-scanner", "results": [ { "id": "scan-a-monorepo", "verdict": "DRIFT", "changes": [/* ... */] } ], "surfaceChanges": [], "summary": { "pass": 0, "drift": 1, "total": 1 }, "exitCode": 1 }

[!NOTE]

The Python distribution ships a real MCP server (see MCP server below).

The npm/TypeScript distribution's evolveguard mcp subcommand is still a

"coming soon" stub; until it ships, call record/check/report --json directly as

a subprocess from your coding agent, or use the Python MCP server even if the rest of

your toolchain is on the npm package.

MCP Server

The Python di

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