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Task Dispatcher

作者 ThomasChangX · GitHub ↗ · v1.0.0
cross-platform ⚠ suspicious
526
总下载
0
收藏
7
当前安装
1
版本数
在 OpenClaw 中安装
/install task-dispatcher
功能描述
智能任务分发与子代理协调中枢。当用户提交任何任务时,执行需求分析、任务拆解、分发策略制定,分发给合适的 subagent 执行,监控进度并阶段汇报,最终汇总结果。失败时自动兜底处理。适用于:(1)用户直接下达的任务(2)cron/heartbeat 触发的任务(3)任何需要多步骤处理的工作。
安全使用建议
Before installing or enabling this skill: 1) Confirm whether your runtime provides a 'subagents' tool and what that tool is allowed to do. 2) Ask the author to clarify/patch cleanup.yaml: set require_confirmation:true, disable cleanup_on_start, and remove any rules that delete arbitrary host files. 3) Remove or parameterize hard-coded absolute paths (e.g., /Users/xiaotiac/...) to avoid accidental access to user directories. 4) Verify that the skill will not read or act on host filesystem paths, environment variables, or webhooks unless you explicitly configure them; if Slack/email/webhook placeholders are used, ensure no secrets are auto-read. 5) Test the skill in a restricted sandbox or non-production account with monitoring/logging enabled to observe behavior (especially any file system or network actions). 6) If you plan to allow autonomous runs, require explicit confirmation for HIGH/CRITICAL actions and audit logs for any auto-abort/auto-delete actions. These checks will reduce the risk that the dispatcher executes destructive cleanup or accesses unintended files.
功能分析
Type: OpenClaw Skill Name: task-dispatcher Version: 1.0.0 The bundle is a sophisticated task orchestration system designed to manage sub-agents through structured pipelines. It includes robust safety and operational guardrails, such as 'Deadloop Prevention' in budget.yaml and a detailed cleanup policy in cleanup.yaml that explicitly blacklists sensitive files and directories (e.g., .env, .aws, SSH keys, and secrets) to prevent accidental data loss or exposure. The instructions in SKILL.md and SUPPLEMENTARY_DESIGN.md are consistent with the stated purpose of a multi-agent coordinator and show no signs of malicious intent, exfiltration, or unauthorized command execution.
能力评估
Purpose & Capability
Name/description (task dispatching, subagent orchestration) align with the provided assets: SKILL.md plus multiple pipeline/agent/budget/review configs. The declared requirements (no binaries, no env vars) are plausible for an instruction-only orchestration skill.
Instruction Scope
SKILL.md instructs the agent to analyze, split, show the plan to the user, then call a 'subagents' tool to spawn/list agents. However, the included configs (cleanup.yaml, budget/deadloop protection, pipelines) imply automatic cleanup and file-deletion behavior (cleanup_on_start: true, cleanup_on_complete: true, cleanup_rules with action: delete, and require_confirmation: false). That conflicts with the SKILL.md's repeated requirement to present the task plan and wait for user confirmation and creates a risk that the skill could cause deletions or other system actions without explicit, user-visible prompts. Configs also reference local filesystem paths (e.g., /Users/xiaotiac/...) and patterns that could cause scanning/deletion of host files if executed.
Install Mechanism
Instruction-only skill with no install spec and no code files; lowest install risk. There is no download/execute/install mechanism included in the package.
Credentials
The package declares no required environment variables or credentials, which is reasonable. But some configuration files reference external endpoints/values (e.g., ${SLACK_WEBHOOK_URL} in review.yaml) and include role/emergency settings that assume admin privileges. There are also hard-coded user-specific paths and patterns in cleanup.yaml and whitelist/blacklist that are unrelated to the high-level purpose and could lead to unexpected host-file access if the orchestration were to act on them.
Persistence & Privilege
always:false (no forced always-on). The skill intends to be a central coordinator ('唯一入口') and can be invoked autonomously (platform default), which is expected for a dispatcher; combined with the config files that permit automatic cleanup/deletions, autonomous invocation would increase potential impact. The skill does not request to modify other skills or system-wide settings in the package itself.
如何使用
  1. 确保已安装 OpenClaw(本地或 Docker 部署)
  2. 在对话框中输入安装命令:/install task-dispatcher
  3. 安装完成后,直接呼叫该 Skill 的名称或使用 /task-dispatcher 触发
  4. 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
Task Dispatcher 1.0.0 初始发布: - 提供智能任务分发及多 subagent 协同中枢,实现需求分析、任务拆解、分发与进度监控、失败兜底处理全流程。 - 明确 7 大阶段:需求分析、任务拆解与确认、分发执行、进度监控、阶段汇报、审核与风险分级处理、失败兜底以及防死循环。 - 内置10大 subagent 职责详解与典型适用场景。 - 支持复杂任务链路(如 coder→reviewer→tester→docs_writer)及分支(并行/串行审核、定时调度任务)。 - 全流程标准化:任务确认6项清单、4级风险分级、澄清确认机制、失败与超时退出策略等,保障任务全生命周期闭环执行。
元数据
Slug task-dispatcher
版本 1.0.0
许可证
累计安装 7
当前安装数 7
历史版本数 1
常见问题

Task Dispatcher 是什么?

智能任务分发与子代理协调中枢。当用户提交任何任务时,执行需求分析、任务拆解、分发策略制定,分发给合适的 subagent 执行,监控进度并阶段汇报,最终汇总结果。失败时自动兜底处理。适用于:(1)用户直接下达的任务(2)cron/heartbeat 触发的任务(3)任何需要多步骤处理的工作。 它是一个面向 Claude Code / OpenClaw 的 AI Agent Skill 插件,目前累计下载 526 次。

如何安装 Task Dispatcher?

在 OpenClaw 或 Claude Code 对话框中运行命令「/install task-dispatcher」即可一键安装,无需额外配置。

Task Dispatcher 是免费的吗?

是的,Task Dispatcher 完全免费(开源免费),可自由下载、安装和使用。

Task Dispatcher 支持哪些平台?

Task Dispatcher 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 Dispatcher?

由 ThomasChangX(@thomaschangx)开发并维护,当前版本 v1.0.0。

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