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Evolveguard

作者:RudrenduPaul版本 0.1.4i★ 1i在你的电脑上运行
注册名称io.github.RudrenduPaul/evolveguard

安装方法

What it does

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

  • Connects 在你的电脑上运行
  • Account or key No key needed
  • Category 开发者工具

安装

选择你使用的 AI 应用,然后复制设置。

通过 3/3 项检查 · 在你的电脑上运行 · ✓ 命令已检查 2026年11月13日

第一步:你用哪个 AI?

选择你用的应用,步骤会显示在下方。

可连接 Claude,但需要先准备

需要先在电脑上安装 Python (uv)(只需一次) · 仅限电脑上的 Claude 应用(Windows 或 Mac),网页和手机不可用

  1. 安装 Python (uv)

    只需一次,所有需要 Python (uv) 的服务器都能用

    打开 Python (uv) 下载页 ↗

  2. 打开电脑版 Claude 应用的设置文件

    SettingsDeveloperEdit Config

  3. 粘贴这些设置并保存文件

    {
      "mcpServers": {
        "evolveguard": {
          "command": "uvx",
          "args": [
            "evolveguard-cli",
            "evolveguard-mcp"
          ]
        }
      }
    }
  4. 退出 Claude 再重新打开

  5. 试一试

    用 Evolveguard 告诉我你能帮我做什么,然后做一件给我看

    ✓ 如果 Claude 说正在使用 Evolveguard,或回答中出现 Evolveguard 的工具名称,就表示连接成功

菜单名称已于 2026年11月11日 对照 Anthropic 帮助页面核实 · 你的界面可能因版本略有不同

ChatGPT 暂时无法连接 Evolveguard

Evolveguard 需要安装在你的电脑上,而 ChatGPT 只能连接在网上运行的服务器

你可以改用这些方式

A · 使用能连接 Evolveguard 的应用

  • 需要先在电脑上安装 Python (uv)(只需一次) · 仅限电脑上的 Claude 应用(Windows 或 Mac),网页和手机不可用
  • 需要先在电脑上安装 Python (uv)(只需一次)
  • 需要先在电脑上安装 Python (uv)(只需一次)
  • 需要先在电脑上安装 Python (uv)(只需一次)

B · 开发者工具 类中能连接 ChatGPT 的其他服务器

从同类中使用较多的里挑选,仅限用地址即可连接、无需密钥的

可连接 Claude Code,但需要先准备

需要先在电脑上安装 Python (uv)(只需一次)

  1. 安装 Python (uv)

    只需一次,所有需要 Python (uv) 的服务器都能用

    打开 Python (uv) 下载页 ↗

  2. 打开终端

    Mac:按 Command+空格,输入 Terminal · Windows:打开 PowerShell

  3. 粘贴这条命令并按 Enter

    claude mcp add --scope user evolveguard -- uvx evolveguard-cli evolveguard-mcp
  4. 在 Claude Code 中输入 /mcp

    应能看到 Evolveguard 在列表中并显示已连接

  5. 试一试

    用 Evolveguard 告诉我你能帮我做什么,然后做一件给我看

    ✓ 如果 Claude Code 说正在使用 Evolveguard,或回答中出现 Evolveguard 的工具名称,就表示连接成功

菜单名称已于 2026年11月11日 对照 Anthropic 帮助页面核实 · 你的界面可能因版本略有不同

可连接 Cursor,但需要先准备

需要先在电脑上安装 Python (uv)(只需一次)

  1. 安装 Python (uv)

    只需一次,所有需要 Python (uv) 的服务器都能用

    打开 Python (uv) 下载页 ↗

  2. 点击这个按钮打开 Cursor

    在 Cursor 中打开

    Cursor 会请你确认安装,点击 Install

  3. 在 Cursor 中以 Agent 模式打开 AI 聊天

  4. 试一试

    用 Evolveguard 告诉我你能帮我做什么,然后做一件给我看

    ✓ 如果 Cursor 说正在使用 Evolveguard,或回答中出现 Evolveguard 的工具名称,就表示连接成功

菜单名称已于 2026年11月11日 对照 Cursor 帮助页面核实 · 你的界面可能因版本略有不同

可连接 VS Code,但需要先准备

需要先在电脑上安装 Python (uv)(只需一次)

  1. 安装 Python (uv)

    只需一次,所有需要 Python (uv) 的服务器都能用

    打开 Python (uv) 下载页 ↗

  2. 点击这个按钮打开 VS Code

    在 VS Code 中打开

    VS Code 会请你确认安装,点击 Install

  3. 在 VS Code 中以 Agent 模式打开 AI 聊天

  4. 试一试

    用 Evolveguard 告诉我你能帮我做什么,然后做一件给我看

    ✓ 如果 VS Code 说正在使用 Evolveguard,或回答中出现 Evolveguard 的工具名称,就表示连接成功

菜单名称已于 2026年11月11日 对照 VS Code 帮助页面核实 · 你的界面可能因版本略有不同

其他支持 MCP 的应用(如 Windsurf、Zed、Gemini CLI)添加方式各不相同,请在应用列表中查看

查看所有支持 MCP 的应用 →

JSON 设置在下方“开发者专用”中

卡住了?问问正在用 Evolveguard 的人💬 讨论 →
开发者专用:终端命令和 JSON 设置

安装在电脑上

Claude Code

claude mcp add --scope user evolveguard -- uvx evolveguard-cli evolveguard-mcp

Claude Desktop (claude_desktop_config.json)

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

Cursor (~/.cursor/mcp.json)

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

VS Code (mcp.json)

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

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。

一览

每周下载量i
23/周
连接方式
在你的电脑上运行
最新版本i
0.1.4
发布到注册中心i
2026年8月11日
代码最后更新i
2026年11月4日
作者
RudrenduPaul
软件包
pypi: evolveguard-cli
注册状态
活跃

哪些应用可以使用它

依据这个服务器的连接方式和各应用自己的文档,检查于 2026年11月10日。

在你的电脑上运行,适用于

ClaudeGooseLM StudioMsty StudioCherry StudioCursorVS Code + GitHub CopilotVisual StudioWindsurf (Devin Desktop)ZedKiroClineContinueJetBrains AI AssistantClaude CodeCodex CLIGemini CLIOpenCodenodecodeWarpLibreChatRaycast

全部应用及其优缺点 →

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14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

  • ✓ 通过

    仍在维护

    代码最后更新于10天前

  • ✓ 通过

    有许可证

    使用 MIT

  • – 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

讨论

提问、分享技巧或报告无法使用。按“有帮助”数量排序。

还没有帖子,欢迎第一个提问或分享。

此处内容由用户撰写,不代表 PopNx 团队。

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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 5889 个服务器的 69%
  • 发布到注册中心的时间比此分类中其他 5889 个服务器的 26% 更新
  • 基础检查结果等于或优于此分类中其他 5889 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 3 项适用的基础检查中通过了 3 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10天前,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:REA, GitHub, Serena MCP: the IDE for your agent

同类别的其他选择

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

REA

Reverse engineer anything from your terminal or agent with one CLI and MCP server.

作者:morluto广泛使用↓ 38.9万/周★ 45.8万前天更新

在你的电脑上运行

GitHub

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

作者:github广泛使用★ 3.4万11天前更新

电脑或云端

Serena MCP: the IDE for your agent

A powerful toolkit for coding, providing semantic retrieval and editing capabilities.

作者:oraios广泛使用↓ 3.5万/周★ 3.1万6个月前更新

在你的电脑上运行

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

只显示了开头部分;其余内容请在仓库中阅读