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在 OpenClaw 中安装
/install arc-free-worker-dispatch-1-1-0
功能描述
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 t...
使用说明 (SKILL.md)
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
| Model | Best For | Context |
|---|---|---|
stepfun/step-3.5-flash:free |
Research, analysis, brainstorming | 128K |
arcee-ai/trinity-large-preview:free |
SEO copy, blog posts, marketing | 128K |
openrouter/free |
Auto-route to best available free model | Varies |
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:
| Type | Model | Why |
|---|---|---|
research |
stepfun/step-3.5-flash:free | Fast, good at analysis |
content |
arcee-ai/trinity-large-preview:free | Strong at writing |
code |
openrouter/free | Auto-routes to best coder |
general |
openrouter/free | Let OpenRouter decide |
Output
Results are printed to stdout by default. Use --output \x3Cfile> 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
--typefor 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
安全使用建议
This skill appears coherent and implements exactly what it claims: a Python script that sends prompts to OpenRouter using the OPENROUTER_API_KEY. Before installing/use: 1) Treat your OPENROUTER_API_KEY like any secret — the skill will send any prompt content (including file contents you pass) to openrouter.ai, so do not include passwords, private keys, or other secrets in prompts or task files. 2) The script prevents writing to common sensitive dotfiles, but batch mode will read any JSON file path you provide — avoid pointing it at sensitive system files. 3) The author/source is unknown and there's no homepage; if you need a higher assurance, review the included scripts yourself or run them in a restricted environment. 4) Note the script sets an HTTP referer header referencing arcself.com (cosmetic but observable by the remote API). If you accept those caveats, the requested permissions and behavior are proportionate to its purpose.
功能分析
Type: OpenClaw Skill
Name: arc-free-worker-dispatch-1-1-0
Version: 1.0.0
The skill is designed to delegate tasks to free AI models via OpenRouter. It includes robust input validation for file output paths (`_validate_output_path` in `scripts/dispatch.py`) to prevent path traversal and writing to sensitive locations, and validates model IDs (`_validate_model`) to ensure only allowed free models are used. The script uses `argparse` and `urllib.request` for safe argument parsing and network communication, avoiding shell injection risks. There is no evidence of data exfiltration to unauthorized endpoints, persistence mechanisms, or malicious prompt injection instructions within the `SKILL.md` targeting the agent. The network and file write capabilities are aligned with the stated purpose and are securely implemented.
能力评估
Purpose & Capability
Name/description match the actual behavior: the included Python script calls OpenRouter (openrouter.ai) and routes prompts to a small set of free models. Required binary (python3) and the single env var (OPENROUTER_API_KEY) are appropriate and expected.
Instruction Scope
SKILL.md simply instructs running the bundled script with task/model parameters. The script only reads the provided prompt, optional task file (tasks.json), and OPENROUTER_API_KEY; it does not attempt to harvest unrelated config files or environment variables. Caveats: batch mode will read whichever JSON file path the user supplies (no path restriction), and the code prints an error message suggesting 'credentials.txt' as an alternate location for the API key (that file is not used by the script). Output writes are validated to prevent overwriting common sensitive dotfiles, but reading arbitrary files is possible only if the user explicitly provides their path.
Install Mechanism
No installer or external downloads are used; this is an instruction-only skill with a bundled Python script. That minimizes install-time risk (nothing is fetched/installed from external URLs).
Credentials
Only OPENROUTER_API_KEY is required, which is proportionate to calling the OpenRouter API. No unrelated credentials, config paths, or excessive env variables are requested.
Persistence & Privilege
Skill is not always-enabled; it does not request persistent system privileges, does not modify other skills or global agent configuration, and uses standard, user-invoked behavior.
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 arc-free-worker-dispatch-1-1-0 - 安装完成后，直接呼叫该 Skill 的名称或使用
/arc-free-worker-dispatch-1-1-0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
Initial release of Free Worker Dispatch.
- Route tasks to free AI models via OpenRouter to reduce API costs.
- Supports task delegation for content writing, research, and code generation.
- Offers auto-selection of free models based on task type.
- Includes commands for dispatching tasks, listing models, checking model status, output redirection, and batch processing.
- Helps prevent surprise API bills by using free models instead of expensive ones.
元数据
常见问题
Arc Free Worker Dispatch 1.1.0 是什么？
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 t... 它是一个面向 Claude Code / OpenClaw 的 AI Agent Skill 插件，目前累计下载 307 次。
如何安装 Arc Free Worker Dispatch 1.1.0？
在 OpenClaw 或 Claude Code 对话框中运行命令「/install arc-free-worker-dispatch-1-1-0」即可一键安装，无需额外配置。
Arc Free Worker Dispatch 1.1.0 是免费的吗？
是的，Arc Free Worker Dispatch 1.1.0 完全免费（开源免费），可自由下载、安装和使用。
Arc Free Worker Dispatch 1.1.0 支持哪些平台？
Arc Free Worker Dispatch 1.1.0 跨平台运行，可在任意部署了 OpenClaw / Claude Code 的环境中使用（darwin, linux）。
谁开发了 Arc Free Worker Dispatch 1.1.0？
由 Sieyer（@sieyer）开发并维护，当前版本 v1.0.0。
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