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Task Executor
作者
Mao XiaoHei！
· GitHub ↗
· v1.0.0
· MIT-0
248
总下载
0
收藏
1
当前安装
1
版本数
在 OpenClaw 中安装
/install task-executor
功能描述
任务执行器。接收用户需求，自动拆分任务，异步执行，返回结果。 **核心功能**： - 需求输入：用户直接说需求 - 任务拆分：AI 分析，自动拆分 - 自动执行：subagent 异步执行 - 进度跟踪：本地状态 **使用场景**： - "帮我分析AI发展趋势" - "调研某个话题" - "写一份报告
安全使用建议
This skill is an instruction-only orchestration recipe for splitting and running sub‑tasks; it does not require credentials or install anything. Before installing: be aware it will ask the agent to spawn subagents and perform web searches, and it proposes writing a local state file (memory/tasks/active.json). If you enable the optional Feishu integration you will need to provide Feishu credentials — those are not included in the skill metadata, so only supply them if you trust the skill and understand where data will be sent. Because the instructions are high-level, monitor the first runs to see what external endpoints or prompts for credentials the agent produces and limit access to sensitive files or secrets during testing.
功能分析
Type: OpenClaw Skill
Name: task-executor
Version: 1.0.0
The skill bundle contains only documentation and high-level instructions for a task orchestration agent. It describes a standard workflow for splitting user requests into sub-tasks (search, analysis, documentation) and executing them using OpenClaw features like sessions_spawn. No malicious code, data exfiltration, or harmful prompt injections were found in SKILL.md or _meta.json.
能力评估
Purpose & Capability
Name and description describe a multi-agent task executor; the SKILL.md contains only orchestration instructions (task split, search, document, analysis, async execution). There are no declared env vars, binaries, or install steps that would be unrelated to the stated purpose.
Instruction Scope
Instructions are high-level orchestration guidance and mention spawning subagents (sessions_spawn), parallel execution, and storing simple local state (memory/tasks/active.json). This scope is consistent with the skill's purpose, but the instructions are vague about which external search endpoints or agents to call and how subagents are authenticated. The doc also mentions an optional Feishu (Lark) spreadsheet integration but does not declare required credentials.
Install Mechanism
No install spec and no code files — the skill is instruction-only, so nothing is written to disk by an installer and there are no third‑party packages to review.
Credentials
The skill declares no required environment variables or credentials, which is proportional. One caveat: it suggests optional Feishu table sync (which would require Feishu credentials if enabled) but does not declare or require those creds in the metadata; users should expect to supply such credentials only if they opt into that integration.
Persistence & Privilege
always is false and autonomous invocation is allowed (platform default). The skill proposes writing a local state file under memory/tasks/active.json — this is reasonable for progress tracking and is limited in scope. The skill does not request system‑wide modifications or other skills' configs.
如何使用
- 确保已安装 OpenClaw（本地或 Docker 部署）
- 在对话框中输入安装命令：
/install task-executor - 安装完成后，直接呼叫该 Skill 的名称或使用
/task-executor触发 - 根据 Skill 的参数说明提供必要输入，即可获得结构化输出
版本历史
v1.0.0
- Major update: skill upgraded to version 4.0.0 with comprehensive new documentation and process breakdown.
- New architecture introduced: automatic task splitting, subagent async execution, and local progress tracking.
- Expanded agent roles (Main, Search, Document, Analysis) and detailed execution workflows.
- Added real-world usage scenarios and examples for both simple and complex task flows.
- Now supports optional integration with local state files and Feishu spreadsheets for task management and visualization.
- Clearly defined core functions, trigger keywords, and best practices for asynchronous, parallel execution.
元数据
常见问题
Task Executor 是什么？
任务执行器。接收用户需求，自动拆分任务，异步执行，返回结果。 **核心功能**： - 需求输入：用户直接说需求 - 任务拆分：AI 分析，自动拆分 - 自动执行：subagent 异步执行 - 进度跟踪：本地状态 **使用场景**： - "帮我分析AI发展趋势" - "调研某个话题" - "写一份报告. 它是一个面向 Claude Code / OpenClaw 的 AI Agent Skill 插件，目前累计下载 248 次。
如何安装 Task Executor？
在 OpenClaw 或 Claude Code 对话框中运行命令「/install task-executor」即可一键安装，无需额外配置。
Task Executor 是免费的吗？
是的，Task Executor 完全免费，采用 MIT-0 许可证，可自由下载、安装和使用。
Task Executor 支持哪些平台？
Task Executor 跨平台运行，可在任意部署了 OpenClaw / Claude Code 的环境中使用（cross-platform）。
谁开发了 Task Executor？
由 Mao XiaoHei！（@maoxiaohei2026-tech）开发并维护，当前版本 v1.0.0。
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