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arc-free-worker-dispatch-1-1-0无弧工人派遣 1 1 0

Agent Skill

arc-free-worker-dispatch-1-1-0 用于查找、检索和筛选相关信息,适合在 OpenClaw 中需要根据关键词、任务场景或来源线索快速定位候选结果时使用。可结合来源仓库、安装命令和原始 README 继续核验具体用法。安装前建议确认权限范围、维护状态,以及是否会触发联网、命令执行或文件读写。

总安装

8,942

周安装

384

GitHub Stars

公开资料未说明

下载量

3,011
OpenClaw

安装说明

本站只整理中文说明和来源信息,不托管安装包,也不代用户安装。

GitHub

来源数

2

许可证

MIT-0

最后核验

2026-05-01

来源状态

来源可访问

安装方式

通过对话安装

复制提示词发给支持本地命令或 Skills 的 AI 助手,先确认命令和权限,再让它执行。

请帮我安装这个 Agent Skill:arc-free-worker-dispatch-1-1-0(无弧工人派遣 1 1 0)
来源仓库:https://github.com/sieyer/arc-free-worker-dispatch-1-1-0
安装命令:
openclaw skills install arc-free-worker-dispatch-1-1-0
安装前请先检查当前环境是否支持对应 CLI,并向我确认将要执行的命令、安装目录、联网范围和文件读写权限;确认后再执行。

命令行安装

复制命令到本机终端执行。该命令会通过 OpenClaw 从第三方来源获取 Skill;本站只展示命令,不托管安装包,也不自动执行。

ClawHubOpenClaw
openclaw skills install arc-free-worker-dispatch-1-1-0

简介

通过 OpenRouter 将任务分发至免费 AI 模型,节省 API 调用费用。

  • 适用于文本生成、基础编码与研究辅助类轻量任务。
  • 通过 OpenClaw 的 clawhub 安装,需确保网络可访问 OpenRouter 服务。
  • 建议监控模型响应质量,避免因性能下降影响主任务进度。
  • 适合在测试或低风险场景中替代付费模型使用。

SKILL.md

name
free-worker-dispatch
description
Route tasks to free AI models via OpenRouter to save money. Use when the agent needs to delegate content writing, research, code generation, or other tasks to cheaper/free models instead of using expensive primary models. Prevents surprise API bills.
user-invocable
true
metadata
{"openclaw": {"emoji": "🏭", "os": ["darwin", "linux"], "requires": {"bins": ["python3"], "env": ["OPENROUTER_API_KEY"]}}}

Free Worker Dispatch

Delegate tasks to free AI models via OpenRouter. Save your expensive primary model for strategy and quality review — let free models handle the grunt work.

Why This Exists

Running everything through Claude Opus or GPT-4 costs real money. Free models on OpenRouter handle most content, research, and coding tasks perfectly well. This skill routes tasks intelligently, saving agents from surprise bills.

Available Free Models

ModelBest ForContext
stepfun/step-3.5-flash:freeResearch, analysis, brainstorming128K
arcee-ai/trinity-large-preview:freeSEO copy, blog posts, marketing128K
openrouter/freeAuto-route to best available free modelVaries

Commands

Dispatch a task to a free model

python3 {baseDir}/scripts/dispatch.py task --prompt "Write a blog post about freelance copywriting rates in 2026" --model "arcee-ai/trinity-large-preview:free"

Dispatch with auto-model selection

python3 {baseDir}/scripts/dispatch.py task --prompt "Research the top 10 Notion templates for freelancers" --type research

List available free models

python3 {baseDir}/scripts/dispatch.py models

Check model status (is it up?)

python3 {baseDir}/scripts/dispatch.py status --model "stepfun/step-3.5-flash:free"

Dispatch with output to file

python3 {baseDir}/scripts/dispatch.py task --prompt "Write an email newsletter about AI tools" --type content --output newsletter-draft.md

Batch dispatch (multiple tasks)

python3 {baseDir}/scripts/dispatch.py batch --file tasks.json

The tasks.json format:

[
  {"prompt": "Write a product description", "type": "content"},
  {"prompt": "Research competitor pricing", "type": "research"},
  {"prompt": "Generate a Python script for...", "type": "code"}
]

Task Types

The --type flag auto-selects the best free model:

TypeModelWhy
researchstepfun/step-3.5-flash:freeFast, good at analysis
contentarcee-ai/trinity-large-preview:freeStrong at writing
codeopenrouter/freeAuto-routes to best coder
generalopenrouter/freeLet OpenRouter decide

Output

Results are printed to stdout by default. Use --output <file> to save to a file. Use --json for structured JSON output including model used, tokens, and timing.

Tips

  • Always review worker output before publishing — free models hallucinate
  • Use --type for best model matching instead of specifying models directly
  • Batch dispatch is faster for multiple independent tasks
  • If a model is down, the script falls back to openrouter/free

适合场景

01

调用多模型

02

代码和文本生成

03

Agent 推理流程

04

OpenRouter 模型接入

能力概览

能力 1

统一调用多种 LLM

能力 2

支持 Claude、Gemini、Kimi 等模型

能力 3

适合聊天、代码和推理任务

能力 4

可作为 Agent 模型调用入口

安装后应在对应宿主中按原始 README 的触发条件使用;具体调用方式请以来源页面和 README 为准。

平台分布

OpenClaw

96.06%
按下载量换算2,892

安全审计

VirusTotal

通过

ClawScan

通过

Static analysis

通过

权限和风险

可写文件

该 Skill 可能写入或修改本地文件,使用前需要确认目标目录和修改范围。

安装前确认

本站仅展示第三方公开信息,不托管安装包,不提供自动安装或运行环境。安装前应自行审查源码、依赖和命令行为。当前只有一个来源,正式发布前建议补源仓库或其他目录站核验。

来源信息

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