WorkClaw: Instructions file for Claude Code

CLAUDE.md

WorkClaw CLAUDE.md is an instructions file for Claude Code from haojing8312/WorkClaw. It costs 6,403 tokens per session, scanned A, original, Apache-2.0.

A project instruction file for WorkClaw, an open-source platform for packaging AI skills and releasing desktop applications. It explains the monorepo structure, commands, architecture, and development rules; a monorepo is one repository containing several related applications or packages.

In plain words
What is it for?
Used when working on WorkClaw’s Studio or Runtime apps, Rust package, Node.js sidecar, builds, and tests.
Why use it?
It tells coding agents how this specific project is organized and which commands to use for development, builds, and tests. It also records language and encryption-related conventions.

Instructions file for Claude Code

Written for Claude Code: the file is CLAUDE.md. Also seen: mentions CLAUDE.md; names the TodoWrite tool; mentions Claude Code.

This is haojing8312/WorkClaw's own configuration. It tells Claude Code how to work on WorkClaw itself, so it is not a mod to install elsewhere. Copy it as a starting point and replace the rules that are about this project. Everything WorkClaw configures →

Reuse

Borrowing it

Nothing to install: this file belongs to haojing8312/WorkClaw. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.

Copy the file
curl -O https://raw.githubusercontent.com/haojing8312/WorkClaw/main/CLAUDE.md
Clone the repo
git clone --depth 1 https://github.com/haojing8312/WorkClaw

Made for: Claude Code.

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Per session 6,403 This file is loaded in full into every session.
When invoked 6,403 The same file — it is already loaded in full.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe.
Origin original No closer match found in the catalogue.
Token cost

What it costs to keep this loaded

Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.

ModelPer sessionOnce invoked
Fable 5.1 $0.06403 $0.06403
Opus 5.5 $0.02561 $0.02561
Sonnet 5.5 $0.01281 $0.01281
Haiku 4.5 $0.00640 $0.00640

Measured 1mo ago against content hash 13a8aacc5257, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

WorkClaw CLAUDE.md scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 1mo ago.

A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.

Nothing flagged

None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.

CLAUDE.md · 633 lines

How it starts

The opening of the file, as written. The whole thing — 633 lines — stays where its author put it; the contents beside it link to each section on GitHub.

CLAUDE.md

本文件为 Claude Code (claude.ai/code) 在此代码库中工作时提供指导。

重要约定:除代码、命令、文件路径、技术术语等必须使用英文的内容外,所有说明、注释、文档均使用中文。

项目概述

WorkClaw 是一个开源的 AI Skill 打包与桌面应用发布平台。项目由两个 Tauri 桌面应用组成:Studio(供创作者打包 Skill)和 Runtime(供用户安装和运行 Skill)。Skill 使用 AES-256-GCM 加密打包成 .skillpack 文件。

Monorepo 结构

apps/
├── studio/              # 创作者端应用 (Tauri + React)
├── runtime/             # 用户端应用 (Tauri + React + Node.js Sidecar)
│   ├── src-tauri/       # Rust 后端,包含 agent 系统
│   └── sidecar/         # Node.js HTTP 服务器 (Playwright, MCP)
packages/
└── skillpack-rs/        # 核心加密/打包库 (Rust)

包管理器: pnpm workspaces + Turborepo

常用命令

# 开发
pnpm runtime              # 以开发模式运行 Runtime 应用
pnpm studio               # 以开发模式运行 Studio 应用

# 构建
pnpm build:runtime        # 构建 Runtime 生产版本
pnpm build:studio         # 构建 Studio 生产版本

# 测试
cd apps/runtime/src-tauri
cargo test                # 运行所有 Rust 测试
cargo test --test test_registry  # 运行特定测试文件

# Sidecar
cd apps/runtime/sidecar
pnpm build                # 构建 Node.js sidecar

核心架构

1. 加密系统(基于用户名)

加密模型使用确定性密钥推导方式,从用户名生成密钥:

username → PBKDF2-HMAC-SHA256 (100k iterations) → AES-256-GCM key
                ↓ salt = SHA256(skill_id + skill_name)

关键特性:

  • 相同用户名 + Skill 始终生成相同密钥
  • 创作者无需存储密钥
  • 通过 manifest 中加密的 "SKILLMINT_OK" token 验证用户名

代码位置: packages/skillpack-rs/src/crypto.rs

2. SkillPack 格式

.skillpack 文件是 ZIP 压缩包:

myskill.skillpack
├── manifest.json           # 明文(id, name, version, username_hint, encrypted_verify)
├── icon.png                # 明文(可选)
└── encrypted/              # AES-256-GCM 加密文件
    ├── SKILL.md.enc
    ├── templates/*.md.enc
    └── examples/*.md.enc

打包: packages/skillpack-rs/src/pack.rs 解包: packages/skillpack-rs/src/unpack.rs

3. 多模型系统(双协议架构)

所有 LLM 交互通过两种适配器格式:

Anthropic Messages API (adapters/anthropic.rs):

  • 原生支持:Claude 模型
  • 兼容:MiniMax Anthropic 端点

OpenAI 兼容 API (adapters/openai.rs):

  • 原生支持:OpenAI GPT 模型
  • 兼容:DeepSeek, Qwen, MiniMax, Moonshot, Yi

Read the full file on GitHub · 633 lines

Changes

What this file has done since we first saw it

Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.

  1. 1mo ago First seen · 633 lines · 6,403 tokens per session scan A 13a8aacc5257

Subscribe to this mod's changes

WorkClaw CLAUDE.md is an instructions file published in the GitHub repository haojing8312/WorkClaw (141 stars, last pushed 4mo ago), licensed Apache-2.0. It adds 6,403 tokens to every session, about $0.0256 per session on Opus 5.5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.

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