doa-workcopilot

doa-workcopilot is a skill for Claude Code from medalsoftchina/workcopilot. It costs 144 tokens per session (20,145 once invoked), scanned A, original, Apache-2.0.

A project-workflow station that coordinates agents and skills from project setup through delivery, including requirements, design, task planning, scaffolding, and engineering workflows.

In plain words
What is it for?
Use it to start or take over a project, create its initial structure, organize development work, and deploy the included workflow resources.
Why use it?
It gives a project a structured starting process and saves its state, decisions, changes, and technical debt for future sessions.

Skill for Claude Code

Written for Claude Code: argument-hint in frontmatter. Also seen: reads .claude/ paths; mentions AGENTS.md.

Good fit Use it to start or take over a project, create its initial structure, organize development work, and deploy the included workflow resources.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/medalsoftchina/workcopilot/workcopilot
Install

Getting it into your agent

One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.

Any agent
npx skills add medalsoftchina/workcopilot --skill workcopilot
Clone the repo
git clone --depth 1 https://github.com/medalsoftchina/workcopilot

Made for: Claude Code.

Wrote this? Show the measurements

A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.

agentmods badge for doa-workcopilot

README.md
[![agentmods](https://agentmods.dev/badge/skills/medalsoftchina/workcopilot/workcopilot/github.svg)](https://agentmods.dev/skills/medalsoftchina/workcopilot/workcopilot)
Your own site
<a href="https://agentmods.dev/skills/medalsoftchina/workcopilot/workcopilot"><img src="https://agentmods.dev/badge/skills/medalsoftchina/workcopilot/workcopilot/github.svg" alt="Measured on agentmods" height="20"></a>

Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.

agentmods 80×15 button for doa-workcopilot

Your own site · 80×15
<a href="https://agentmods.dev/skills/medalsoftchina/workcopilot/workcopilot"><img src="https://agentmods.dev/badge/skills/medalsoftchina/workcopilot/workcopilot.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 144 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 20,145 The whole file, excluding the scripts and references it only reads on demand.
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 $0.00144 $0.20145
Opus 5.5 $0.00058 $0.08058
Sonnet 5.5 $0.00029 $0.04029
Haiku 4.5 $0.00014 $0.02014

Measured 1mo ago against content hash 008cceb5183e, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

doa-workcopilot 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.

The scan reads SKILL.md. This mod also ships 1 executable file (scripts/deploy.ps1), listed below but not scanned — reading those needs a real analyzer, not pattern matching.

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.

SKILL.md · 1,831 lines

How it starts

The opening of the file, as written. The whole thing — 1,831 lines — stays where its author put it; the contents beside it link to each section on GitHub.

DOA WorkCopilot — 项目全生命周期工作站

核心理念

一个项目的成功从第一行配置开始,而非第一行代码。 WorkCopilot 统一编排所有 Agent 和 Skill,确保每一步都有正确的角色、正确的约束、正确的产出。

🔒 自动持久化契约:每次会话结束时,WorkCopilot 自动更新 .workcopilot/ 下的项目状态文件(state.json、changelog.md、decisions.md、tech-debt.md),确保项目记忆永不丢失。无需用户手动触发。


🚀 团队部署(首次使用必读)

本 Skill 是完全自包含的,包含全部 Agent 定义、工作流和脚手架模板。 团队成员只需获取 doa-workcopilot/ 目录即可上手。

方式一:自动部署(推荐)

# 在 PowerShell 中执行
& "path/to/doa-workcopilot/scripts/deploy.ps1"

脚本会自动:

  1. 将 skill 安装到 ~/.claude/skills/doa-workcopilot/
  2. 在 ~/.claude/agents/ 安装 6 个 Agent 文件(已存在则跳过)
  3. 在 ~/.claude/skills/ 安装 12 个附属 Skill(已存在则跳过)

方式二:手动部署

  1. 复制 doa-workcopilot/ 到 ~/.claude/skills/
  2. 复制 embedded-agents/ 下的6个 .md 文件到 ~/.claude/agents/
  3. 复制 embedded-skills/ 下的12个子目录到 ~/.claude/skills/(已存在同名则跳过)

内置资源清单

doa-workcopilot/
├── SKILL.md                              ← 主编排逻辑(本文件)
├── scripts/
│   └── deploy.ps1                        ← 团队一键部署脚本
├── references/                           ← 脚手架模板 & 内嵌工作流
│   ├── agents.md                         ← 6 个 Agent 精简角色定义
│   ├── embedded-harness.md               ← Harness 工程轨道工作流
│   ├── embedded-spec-flow.md             ← Spec-Flow 结构化开发流程
│   ├── dotnet-scaffold.md                ← .NET 8 脚手架模板
│   ├── python-scaffold.md                ← FastAPI 脚手架模板
│   └── react-scaffold.md                 ← React + Vite 脚手架模板
├── embedded-agents/                      ← 完整 Agent 定义文件(项目注入用)
│   ├── requirements-analyst.md
│   ├── system-architect.md
│   ├── backend-engineer.md
│   ├── frontend-engineer.md
│   ├── test-engineer.md
│   └── mermaid-diagram.md
├── embedded-hooks/                       ← PreToolUse Hook(项目注入用)
│   ├── update-workcopilot.json           ← Hook 配置(commit/build/docker 前拦截)
│   └── scripts/
│       └── check-workcopilot.ps1         ← 拦截脚本(检查 .workcopilot 是否已更新)
├── embedded-prompts/                     ← Prompt 模板(项目注入用)
│   ├── code-review.prompt.md             ← 全面 Code Review(安全+性能+规范+逻辑)
│   └── generate-tests.prompt.md          ← 生成 xUnit + Moq 单元测试
└── embedded-skills/                      ← 完整 Skill 包(项目注入用)
    ├── doa-ppt/          (SKILL.md + 2 模板)
    ├── doa-metting/      (SKILL.md + 1 模板)
    ├── doa-apidoc/       (SKILL.md + 2 模板)
    ├── doa-image/        (SKILL.md)
    ├── doa-quotation/    (SKILL.md + 3 模板)
    ├── doa-testreport/   (SKILL.md)
    ├── doa-e2etest/      (SKILL.md + 3 参考文档)
    ├── doa-harness/      (SKILL.md + 5 模板)
    ├── spec-flow-main/   (SKILL.md + 模板 + 参考 + 脚本)
    ├── brainstorming/    (SKILL.md)
    ├── frontend-design/  (SKILL.md)
    └── ui-ux-pro-max/    (SKILL.md + data + scripts)

Read the full file on GitHub · 1,831 lines

Files

What ships with it

7 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.

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 · 1,831 lines · 144 tokens per session scan A 008cceb5183e

Subscribe to this mod's changes

doa-workcopilot is a skill published in the GitHub repository medalsoftchina/workcopilot (4 stars, last pushed 4mo ago), licensed Apache-2.0. It adds 144 tokens to every session and 20,145 once invoked, about $0.0006 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 2026-08-31.

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