metabolism-tools/workspace-metabolism

Name: metabolism-tools/workspace-metabolism
Author: metabolism-tools

Plugin插件 ⭐ 2 MIT Approval & Security审批与安全 Dev Workflow开发与代码工作流

MCP server and CLI for governing files left by AI coding agents: policy-driven audit, reversible cleanup, rollback, and hash-chained verification. Python 3.11+, zero dependencies, Windows / Linux / macOS.

catalog descriptioncatalog 简介 / catalog description：Govern what Claude Code, Codex, Aider and OpenClaw leave in your workspace: one JSON policy file, audit, recyclable clean, rollback, hash-chained audit trail.

Project Overview项目介绍

Edited by Zhiwei Agent (zhiwei)由知微Agent(zhiwei)编辑

workspace-metabolism is an independent MCP server and command-line tool built for governing files left behind by AI coding agents. It supports integration with multiple AI agent platforms including DeepSeek Harness, Claude Code, and other popular AI coding agents. You can install it via the Python Package Index or directly from source code, it requires Python 3.11 or newer, and it has zero third-party dependencies to reduce installation bloat. It runs natively on Windows, Linux, and macOS, and offers core capabilities like policy-driven audit, reversible cleanup, file rollback, and hash-chained verification of all actions taken by the tool.

This tool is built for developers who regularly use AI coding agents for software development work. AI agents often leave behind scratch files, cache data, and abandoned directories that accumulate over time and clutter the workspace, and this tool solves that problem. The typical workflow starts with running wm doctor to scan for ungoverned residue and generate policy suggestions. After you review and adopt the suggestions, the tool will generate your metabolism.json policy file, then you can run audits and cleanups, and roll back any cleanup operation if you need to recover files.

This project is released under the permissive MIT open source license, and is currently at version 0.6.0. It has not been tested in large production deployments yet, and the policy schema is subject to change before the 1.0 stable release. It is important to note that this tool is not a sandbox, it cannot block malicious agents from bypassing its governance layer. It also does not automatically classify files as garbage; all governance rules are set by the user’s custom policy, and it only provides local audit, not distributed or court-grade notary functionality.

workspace-metabolism 是一个用于治理AI编码agent遗留文件的MCP服务器和命令行工具，支持包括DeepSeek Harness、Claude Code在内的多种AI编码agent。它提供基于策略的审计、可回滚的清理、文件恢复和哈希链验证功能，基于Python 3.11开发，零额外依赖，可通过pip安装，兼容Windows、Linux、macOS三大平台。

这款工具主要面向使用AI编码agent进行开发的开发者，解决AI agent在工作区留下大量临时文件、缓存和废弃目录却无人清理的问题。典型工作流是先通过wm doctor扫描未受管控的残留文件生成策略建议，用户确认后生成策略文件，之后执行审计、清理操作，需要时可以回滚所有清理操作。

该项目采用MIT许可证开源，目前处于v0.6.0版本，尚未用于大规模生产部署，策略模式在v1.0之前可能会发生变动。它不是沙箱工具，也不会自动判断文件是否废弃，所有管控规则都由用户自定义的策略决定，仅做本地审计，不提供分布式公证功能。

View on GitHub在 GitHub 查看

Send to your DSH发给你的 DSH 安装

请帮我安装这个 DSH 插件。安装前先完成【兼容性检查 + 安全性检查】，检查通过再动手。

插件：workspace-metabolism（metabolism-tools/workspace-metabolism）
仓库：https://github.com/metabolism-tools/workspace-metabolism
本站详情页：https://www.yhbd.top/plugins/metabolism-tools-workspace-metabolism/
本站登记：类型 plugin · 归类 多平台兼容工具（非 DSH 原生） · 许可证 MIT · ⭐ 2 · 最近提交 2026-09-21 · 主语言 Python · 未检测到 DSH 插件清单

按下面顺序执行，每步先把结论告诉我，再进入下一步：

【1 兼容性检查】
① 我这边：DSH 版本、Node 版本、操作系统、当前 profile（web / desktop）。
② 读它的 README、package.json、插件 manifest，列出它要求的 DSH 版本 / Node 版本 / 操作系统 / 外部依赖 / 需要另外先装的运行时。
③ 逐条比对，结论只写「满足 / 不满足 / 未知」三种；不满足的给出可行替代方案。
④ 检查是否和我已装的插件冲突：命令名重复、skill / tool 重名、端口占用、重复注册的 MCP server。

【2 安全性检查】
① 仓库可信度：和上面「本站登记」是否一致；star / fork 数、创建时间、最近提交，是否归档或长期停更。
② 安装脚本：逐行看 package.json 的 preinstall / install / postinstall，以及 install.sh、setup.ps1 之类脚本。出现 curl|bash、下载后直接执行、混淆代码、访问与插件功能无关的域名，立刻停下来告诉我，不要继续装。
③ 依赖：列出新增依赖，标出无人维护、或与知名包拼写近似的可疑包（typosquatting）。
④ 权限与副作用：它会读写哪些目录、访问哪些域名、需要哪些 DSH 权限（filesystem / network / shell / clipboard 等），以及怎么卸载和回滚。
⑤ 如果它要求 sudo / 管理员权限，或权限明显超出功能所需，先停下来问我。

【3 安装】
上面两步没有「不满足」和「高危项」时才执行；用官方推荐方式安装，不要自行提权。

【4 汇报】
用表格输出：检查项 / 结论 / 依据 / 是否需要我决策。拿不准的一律写「未知」并说明要我怎么确认——不要猜，也不要替我决定。

Send this message to DSH in your current session: it verifies compatibility and security first (answering met / not met / unknown item by item) and only installs once everything checks out — it will stop and ask you if it finds a high-risk item. The box scrolls; the copy is the full prompt. CLI install commands may not be accurate across systems, so DSH is the safer route.把上面这条消息直接发给当前会话里的 DSH：它会先核对兼容性与安全性（逐条给「满足 / 不满足 / 未知」），确认没问题再安装，有高危项会停下来问你。框内可滚动，复制到的是完整提示词；安装命令不一定准确，发给 DSH 更稳。

Pre-install check安装前体检Compatibility · Security兼容性 · 安全性 2 warnings2 项注意

Only 2 stars - very few users, little community feedback星标只有 2，几乎没人在用，遇到问题缺少社区反馈
No DSH plugin manifest detected - it may only carry the dsh-plugin topic, so the install method must be confirmed on the spot未检测到 DSH 插件清单：可能只是打了 dsh-plugin 话题，安装方式要现场确认
Not DSH-native: a multi-platform tool that may require Node / Electron or another runtime first非 DSH 原生，是多平台兼容工具：可能要先装 Node / Electron 等运行时

DSH walks through these 9 checksDSH 会逐条核对这 9 项

Compatibility兼容性

DSH, Node, OS and profile requirementsDSH 版本 / Node 版本 / 操作系统 / profile 是否满足要求
External dependencies and runtimes (Electron / Python / Docker, ...)外部依赖与运行时（Electron / Python / Docker 等）是否齐备
Conflicts with installed plugins: command names, skill / tool names, ports, duplicate MCP registration与已装插件是否冲突：命令名、skill / tool 重名、端口占用、重复 MCP 注册

Security安全性

Repo matches the facts registered here; archived or abandoned?仓库是否与页面登记一致，是否归档或长期停更
Safety of preinstall / install / postinstall and install.sh / setup.ps1preinstall / install / postinstall 与 install.sh、setup.ps1 是否安全
curl|bash, download-then-execute, obfuscation, unrelated domains → stop immediatelycurl|bash、下载即执行、混淆代码、无关域名 → 立刻停止
Typosquatting or unmaintained packages among the new dependencies新增依赖里有没有 typosquatting 或无人维护的包
Requested permissions vs. what the feature actually needs申请了哪些权限、是否超出功能所需（filesystem / network / shell / clipboard）
Any sudo / admin requirement, plus uninstall and rollback是否要求 sudo / 管理员权限，以及卸载与回滚方式

Anything uncertain must be marked unknown with a note on how to confirm it. This site's signal screen is a static snapshot, not a security audit.拿不准的必须标「未知」并说明要我怎么确认。本站的信号筛查是静态快照，不能替代安全审计。

Or use CLI install (for developers)或使用命令行安装（适合开发者）

CLI Install命令行安装

dsh plugin --profile web add github:metabolism-tools/workspace-metabolism

把 metabolism-tools/workspace-metabolism 加入你的 DSH 配置（web profile）即可启用。

READMEREADME

29.6 KB · 缓存于 2026-09-21 19:41:47 · 29.6 KB

workspace-metabolism

MCP server and CLI for governing files left by AI coding agents: policy-driven audit, reversible cleanup, rollback, and hash-chained verification. Python 3.11+, zero dependencies, Windows / Linux / macOS.

Terminal demo

workspace health

▶️ Watch the 60-second animated demo: docs/demo-terminal.html

The problem

AI coding agents (Claude Code, Codex, DeepSeek Harness, …) share one thing — your workspace — and they leave a trail of scratch files, caches and staged directories behind. Nobody owns the cleanup: deleting by hand is irreversible, scheduled scripts have no audit trail, and the next agent run works in the garbage the last one left.

workspace-metabolism is the policy layer for that: one metabolism.json decides what every path is worth (G1 never touch → G4 auto), nothing is ever deleted by pattern — items move to a recycle area with per-file SHA-256 hashes and rollback restores them exactly — and every action lands in a hash-chained journal that verify can audit.

Try it in 30 seconds:

pip install workspace-metabolism
wm doctor --residue                  # what agent byproducts your policy doesn't govern yet
wm doctor --residue --apply-policy   # adopt the suggestions as policy entries (creates the file if missing)
wm audit                             # read-only checkup with health score

Showing the opening section of the README — the full document lives in the repository以上为 README 开头摘要，完整文档在仓库内 · View the full README on GitHub →在 GitHub 查看完整 README →

渲染基于仓库 metabolism-tools/workspace-metabolism 的 README.md。在 GitHub 查看原文 →