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 skills/adamancyzhang/claude-orchestrator-server/task-executionnpx skills add adamancyzhang/claude-orchestrator-server --skill task-executiongit clone --depth 1 https://github.com/adamancyzhang/claude-orchestrator-serverWrote 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/adamancyzhang/claude-orchestrator-server/task-execution)<a href="https://agentmods.dev/skills/adamancyzhang/claude-orchestrator-server/task-execution"><img src="https://agentmods.dev/badge/skills/adamancyzhang/claude-orchestrator-server/task-execution.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 | $0.00116 | $0.01498 |
| Opus 5 | $0.00058 | $0.00749 |
| Sonnet 5 | $0.00023 | $0.00300 |
| Haiku 4.5 | $0.00012 | $0.00150 |
Grade A, and why
task-execution 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 6d 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.
How it starts
The opening of the file, as written. The whole thing — 143 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Task Execution
执行不是凭感觉写代码,是理解蓝图 → 精准实现 → 自证正确 → 记录可追溯的完整闭环。本技能与 [[task-traceability]] 协作,确保 Executor 的每次执行产出可被 Verifier 独立验证,每个代码变更都可追溯到具体的 Plan 要求。
何时触发
- Worker 通过
claude-orchestrator claim-task认领了 execute 类型的任务 - 用户说"开始执行"、"开始构建"、"implement this task"
- Leader 直接分配了 execute 任务给 Executor
- 任务蓝图中标记为 execute 的项需要开工
执行六步法
按顺序执行,每一步通过才进入下一步。
1. 认领任务并获取上下文
# 认领任务
claude-orchestrator claim-task
# 获取蓝图
claude-orchestrator get-context --key plan-<目标slug>
从任务和蓝图中提取:
- 本任务的验收标准(具体到命令和文件路径)
- 前序依赖任务的产出物(Plan 的输出、上游 Execute 的产出)
- 本任务的预期产出物
如果蓝图不在共享上下文中,通过消息向 Planner 索要。
2. 理解执行范围
通读蓝图中的相关部分,确认理解无误:
- 明确"做什么"和"不做什么"——不要在实现中越界
- 识别与上游产出物的接口(API 契约、文件协议等)
- 确认验收标准的可复现性——如果你无法按验收标准自测,验收标准本身有缺陷,反馈给 Planner
如果蓝图有歧义或不清晰 → 通过消息联系 Planner 澄清,不要猜测。
3. 执行实现
按照蓝图执行代码变更:
- 只做任务范围内的事,不顺手重构无关代码
- 遵循项目现有的代码规范和架构模式
- 编写必要的测试(如果验收标准要求)
- 产出物(测试报告、截图等)放入约定的输出路径
与 [[task-traceability]] 协作:每次代码提交遵循可追溯工作流——自己的名字签名、commit hash 记录回任务文档。
4. 自测验证
在报告完成之前,自行运行验收标准中的验证命令:
# 示例:运行测试
npm test -- <test-pattern> 2>&1
# 示例:检查产出物
ls -la <expected-output-path>
如果验收标准中定义了多个检查点,逐项执行并记录结果。所有检查点通过后才进入下一步。
如果某项检查失败但属于外部原因(非本任务引入的问题),在报告中标注为已知问题,不阻塞完成。
5. 提交代码
按照 [[task-traceability]] Step 3-5 完成提交链:
# Step 3: 提交代码(用自己的名字签名)
git add <changed-files>
git commit -m "feat(<scope>): <description>
<details>
<Your Name>"
# Step 4: 记录 commit hash 到任务文档
# Step 5: 提交文档更新
关键规则:
- 一个逻辑单元一个 commit,不批量提交不相关的变更
- commit message 末尾签自己的名字
- 记录 commit hash 回任务文档
6. 报告完成
标记任务完成并通知:
claude-orchestrator complete-task \
--task-id <task-id> \
--result "完成了 XXX,commit: a1b2c3d。测试全部通过。产出物: <path>"
执行完成检查清单
□ 已认领任务并从蓝图获取上下文
□ 已理解执行范围和验收标准
□ 代码变更只在任务范围内,无越界修改
□ 验收标准中的命令自测全部通过
□ 代码已提交,签名为自己的名字 (task-traceability Step 3)
□ commit hash 已记录回任务文档 (task-traceability Step 4)
□ 任务文档更新已提交 (task-traceability Step 5)
□ 已通过 orchestrator complete-task 报告完成
与其他技能的协作
- [[task-traceability]]:基础层。Executor 严格遵循追溯 → 执行 → 映射 → 举证 → 记录的五步法。每个代码变更必须追溯至 Plan 的具体要求,映射到实现,附带测试证据,并通过 commit hash 记录回任务文档。
- [[task-planning]]:Executor 依赖 Planner 的蓝图和追溯链来理解执行范围。如果蓝图有歧义,反馈给 Planner 澄清。
- [[task-verification]]:Verifier 将独立验证 Executor 的产出。Executor 的自测和可追溯记录降低了 Verifier 发现基础问题的概率。
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.
- 6d ago First seen · 143 lines · 116 tokens per session scan A c254c279432e
task-execution is a skill published in the GitHub repository adamancyzhang/claude-orchestrator-server (2 stars, last pushed 1mo ago), licensed MIT. It adds 116 tokens to every session and 1,498 once invoked, about $0.0006 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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