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 skills add grasscaograss/AwesomeWeldoneSkills --skill parallel-featuregit clone --depth 1 https://github.com/grasscaograss/AwesomeWeldoneSkillsWrote 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/skills/grasscaograss/awesomeweldoneskills/parallel-feature)<a href="https://agentmods.dev/skills/grasscaograss/awesomeweldoneskills/parallel-feature"><img src="https://agentmods.dev/badge/skills/grasscaograss/awesomeweldoneskills/parallel-feature.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 5.1 | $0.00094 | $0.01067 |
| Opus 5 | $0.00047 | $0.00534 |
| Sonnet 5 | $0.00019 | $0.00213 |
| Haiku 4.5 | $0.00009 | $0.00107 |
Grade A, and why
parallel-feature 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 8d 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.
What it actually says
并行 Feature 开发
三阶段工作流：契约 → 并行施工 → 集成验收。
阶段 1：生成接口契约
收到用户功能描述后，先读取相关现有代码，生成接口契约文档，等用户确认后再进入阶段 2。
契约必须包含以下内容：
## Feature: <功能名称>
### 共享契约
#### 新增类型/接口
- 列出所有新增的 DTO、接口、枚举，包含完整字段签名
#### 已有类型（只读引用，禁止修改）
- 列出将被引用但不应改动的现有类型
#### 调用链
- 用箭头表达完整调用链路：UI → AppService → Domain → Storage
### 文件归属
| Agent | 职责 | 可编辑文件 | 禁止触碰 |
|-------|------|-----------|---------|
| A 领域层 | 实体/DTO/接口定义 | `src/...Domain/.../*.cs`, `src/...Contracts/.../*.cs` | 应用层、前端 |
| B 应用层 | AppService 实现 | `src/...Application/.../*.cs` | 领域层定义、前端 |
| C 前端 | Blazor 组件 | `src/...Blazor/**/*.razor`, `*.razor.cs` | 后端全部 |
| D 测试 | 单元测试 | `test/**/*Test*.cs` | 源码文件 |
### 验收标准
- `dotnet build` 0 error
- 指定的测试全部通过
- 明确的功能验收条件
文件归属自动推断规则
| 路径模式 | 归属 Agent |
|---|---|
src/**/Domain/**/*.cs |
A 领域层 |
src/**/Contracts/**/*.cs |
A 领域层 |
src/**/Application/**/*.cs |
B 应用层 |
src/**/Blazor/**/*.razor* |
C 前端 |
src/**/HttpApi/**/*.cs |
B 应用层 |
test/**/*Test*.cs |
D 测试 |
如果功能较简单（只涉及 2 个切面），合并为 2 个 agent 即可，不必强行凑 4 个。
阶段 2：并行施工
用户确认契约后，为每个 Agent 生成独立 prompt，在同一条消息中用多个 Agent tool 调用并行启动。
每个 Agent prompt 必须包含：
- 完整的共享契约（类型签名、调用链）
- 该 Agent 的文件归属范围
- 明确的禁止触碰文件列表
- 具体的实现要求
Agent prompt 模板：
你是 <角色> Agent。功能：<功能描述>
## 共享契约
<完整契约内容>
## 你的职责
- 可编辑：<文件列表>
- 禁止触碰：<文件列表>
## 实现要求
<该切面的具体实现指引>
## 约束
- 不得修改共享契约中定义为"只读引用"的类型
- 不得编辑归属范围外的文件
- 方法签名必须严格匹配契约定义
- 完成后列出所有新增/修改的文件
阶段 3：集成验收
所有 Agent 返回后，执行：
- 冲突检查：读取每个 Agent 修改的文件，检查是否有交叉修改
- 签名一致性：验证接口方法签名在各层之间一致
- 构建验证：运行
dotnet build --no-restore - 结果报告：汇总每个 Agent 的变更，报告构建结果
如果构建失败：
- 分析错误，定位到具体 Agent 的输出
- 启动修复 Agent 修复冲突/签名不一致问题
- 最多重试 2 次，仍失败则报告给用户
阶段 4（可选）：补测试
如果契约中有测试 Agent（D），它会并行运行。如果没有，集成验收通过后询问用户是否需要补写测试。
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.
- 8d ago First seen · 111 lines · 94 tokens per session scan A 5c586c0c80af
parallel-feature is a skill published in the GitHub repository grasscaograss/AwesomeWeldoneSkills (2 stars, last pushed 1mo ago), licensed Apache-2.0. It adds 94 tokens to every session and 1,067 once invoked, about $0.0005 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 2026-08-31.
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