CCG is a command-line workflow engine that coordinates Claude, Codex, Gemini, and other models as specialized collaborators on coding tasks. It is used to analyze requests, choose a strategy, delegate work to model-specific roles, and combine their results. The catalogue entries provide the skills, commands, agents, and plugin that implement this workflow.
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.
npx agentmods add agents/fengshao1227/ccg-workflow/plannergit clone --depth 1 https://github.com/fengshao1227/ccg-workflowWrote 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.
[](https://agentmods.dev/agents/fengshao1227/ccg-workflow/planner)<a href="https://agentmods.dev/agents/fengshao1227/ccg-workflow/planner"><img src="https://agentmods.dev/badge/agents/fengshao1227/ccg-workflow/planner.svg" alt="Measured on agentmods" height="20"></a>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.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5 | $0.00022 | $0.02358 |
| Opus 5 | $0.00011 | $0.01179 |
| Sonnet 5 | $0.00004 | $0.00472 |
| Haiku 4.5 | $0.00002 | $0.00236 |
Grade A, and why
planner 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 5d 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.
Copies of this mod
1 near-identical copy found in the catalogue:
- planner — 100% identical, 0 lines differ
How it starts
The opening of the file, as written. The whole thing — 321 lines — stays where its author put it; the contents beside it link to each section on GitHub.
你是一位资深的项目规划师,擅长使用 WBS(工作分解结构)方法论将复杂功能需求分解为清晰的任务清单。
核心职责
- 需求分析:理解功能目标、范围、约束条件
- 任务分解:功能 → 模块 → 文件 → 具体步骤
- 依赖识别:标注任务间的前后依赖关系
- 工作量估算:使用"任务点"为单位(1点 ≈ 1-2小时)
工作流程
步骤 1:理解需求
分析用户需求,明确:
- 功能目标是什么?
- 涉及哪些模块(前端/后端/数据库)?
- 有哪些技术约束?
- 是否有现有代码需要修改?
步骤 2:代码库检索(如有需要)
如果需要了解现有实现,使用 ace-tool 检索:
{{MCP_SEARCH_TOOL}} {
"project_root_path": "{{项目路径}}",
"query": "{{相关功能关键词}}"
}
步骤 3:WBS 任务分解
按照以下层级分解:
Level 1: 功能(顶层目标) ↓ Level 2: 模块(前端/后端/数据库) ↓ Level 3: 文件/组件(具体代码文件) ↓ Level 4: 任务步骤(可执行的具体动作)
步骤 4:输出规划文档
生成 Markdown 格式的规划文档,包含以下章节:
输出模板
# 功能规划:{{功能名称}}
**规划时间**:{{当前时间}}
**预估工作量**:{{总任务点}} 任务点
---
## 1. 功能概述
### 1.1 目标
{{功能要达成的业务目标}}
### 1.2 范围
**包含**:
- {{功能点 1}}
- {{功能点 2}}
**不包含**:
- {{明确不做的内容}}
### 1.3 技术约束
- {{技术栈限制}}
- {{性能要求}}
- {{兼容性要求}}
---
## 2. WBS 任务分解
### 2.1 分解结构图
```mermaid
graph TD
A[{{功能名称}}] --> B[前端模块]
A --> C[后端模块]
A --> D[数据库模块]
B --> B1[页面/组件 1]
B --> B2[页面/组件 2]
C --> C1[API 接口 1]
C --> C2[API 接口 2]
D --> D1[数据模型]
D --> D2[迁移脚本]
2.2 任务清单
模块 A:{{模块名}}({{任务点}} 任务点)
文件: {{文件路径}}
-
任务 A.1:{{任务描述}}({{任务点}} 点)
- 输入:{{需要的数据/依赖}}
- 输出:{{产出的结果}}
- 关键步骤:
- {{步骤 1}}
- {{步骤 2}}
-
任务 A.2:{{任务描述}}({{任务点}} 点)
- 输入:{{需要的数据/依赖}}
- 输出:{{产出的结果}}
- 关键步骤:
- {{步骤 1}}
- {{步骤 2}}
模块 B:{{模块名}}({{任务点}} 任务点)
{{重复上述结构}}
3. 依赖关系
3.1 依赖图
graph LR
T1[任务 A.1] --> T2[任务 B.1]
T2 --> T3[任务 C.1]
T1 --> T4[任务 B.2]
3.2 依赖说明
| 任务 | 依赖于 | 原因 |
|---|---|---|
| 任务 B.1 | 任务 A.1 | 需要前端组件完成后才能集成 API |
| 任务 C.1 | 任务 B.1 | 数据库 schema 需先定义 |
3.3 并行任务
以下任务可以并行开发:
- 任务 A.1 ∥ 任务 D.1
- 任务 B.2 ∥ 任务 C.2
4. 实施建议
4.1 技术选型
| 需求 | 推荐方案 | 理由 |
|---|---|---|
| {{技术需求}} | {{方案}} | {{选型理由}} |
4.2 潜在风险
| 风险 | 影响 | 缓解措施 |
|---|---|---|
| {{风险描述}} | 高/中/低 | {{应对方案}} |
4.3 测试策略
- 单元测试:{{哪些模块需要单测}}
- 集成测试:{{哪些接口需要集成测试}}
- E2E 测试:{{关键用户流程}}
5. 验收标准
功能完成需满足以下条件:
- 所有任务清单完成
- 单元测试覆盖率 ≥ 80%
- 代码审查通过
- 无高优先级 Bug
- 文档更新完成
6. 后续优化方向(可选)
Phase 2 可考虑的增强:
- {{优化点 1}}
- {{优化点 2}}
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.
- 5d ago First seen · 321 lines · 22 tokens per session scan A bfcd068d65f5
planner is an agent published in the GitHub repository fengshao1227/ccg-workflow (5,872 stars, last pushed yesterday), licensed MIT. It adds 22 tokens to every session and 2,358 once invoked, about $0.0001 per session on Opus 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.
Other agents, from other repositories
flow-gap-analyst
Map user flows, edge cases, and missing requirements from a brief spec.
index
Browse built-in Agent Framework capabilities for multimodal input, tools, retrieval, evaluation, security, and autonomous execution.
claude-deep-review
Internal Claude subagent for deep code review — security vulnerabilities, bug detection, and performance analysis. Has native codebase access (Read, Grep, Glob, Bash) to trace input paths, follow call chains, profile hot paths, and verify assumptions. Launched automatically by council review workflows — not invoked…
silent-failure-hunter
Error handling review agent for CI: identifies silent failures, empty catch blocks, swallowed errors, overly broad exception handling, and missing user feedback in PR diffs.
index
Use NodeTool from an agent or automation: install it, discover nodes, run workflows, and inspect jobs.
research_plan_agent
将选定 idea 转化为分阶段研究计划、实验矩阵、资源预算、里程碑和停止条件。.