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Task Dispatcher
by
ThomasChangX
· GitHub ↗
· v1.0.0
526
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0
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Install in OpenClaw
/install task-dispatcher
Description
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。
Usage Guidance
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.
Capability Analysis
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.
Capability Assessment
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.
How to Use
- Make sure OpenClaw is installed (local or Docker)
- Run the install command in chat:
/install task-dispatcher - After installation, invoke the skill by name or use
/task-dispatcher - Provide required inputs per the skill's parameter spec and get structured output
Version History
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。
Metadata
Frequently Asked Questions
What is Task Dispatcher?
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。 It is an AI Agent Skill for Claude Code / OpenClaw, with 526 downloads so far.
How do I install Task Dispatcher?
Run "/install task-dispatcher" in the OpenClaw or Claude Code chat to install it in one step — no extra setup required.
Is Task Dispatcher free?
Yes, Task Dispatcher is completely free (open-source). You can download, install and use it at no cost.
Which platforms does Task Dispatcher support?
Task Dispatcher is cross-platform and runs anywhere OpenClaw / Claude Code is available (cross-platform).
Who created Task Dispatcher?
It is built and maintained by ThomasChangX (@thomaschangx); the current version is v1.0.0.
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