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Install in OpenClaw
/install arc-free-worker-dispatch-1-1-0
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 t...
README (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
Usage Guidance
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.
Capability Analysis
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.
Capability Assessment
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.
How to Use
- Make sure OpenClaw is installed (local or Docker)
- Run the install command in chat:
/install arc-free-worker-dispatch-1-1-0 - After installation, invoke the skill by name or use
/arc-free-worker-dispatch-1-1-0 - Provide required inputs per the skill's parameter spec and get structured output
Version History
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.
Metadata
Frequently Asked Questions
What is Arc Free Worker Dispatch 1.1.0?
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... It is an AI Agent Skill for Claude Code / OpenClaw, with 307 downloads so far.
How do I install Arc Free Worker Dispatch 1.1.0?
Run "/install arc-free-worker-dispatch-1-1-0" in the OpenClaw or Claude Code chat to install it in one step — no extra setup required.
Is Arc Free Worker Dispatch 1.1.0 free?
Yes, Arc Free Worker Dispatch 1.1.0 is completely free (open-source). You can download, install and use it at no cost.
Which platforms does Arc Free Worker Dispatch 1.1.0 support?
Arc Free Worker Dispatch 1.1.0 is cross-platform and runs anywhere OpenClaw / Claude Code is available (darwin, linux).
Who created Arc Free Worker Dispatch 1.1.0?
It is built and maintained by Sieyer (@sieyer); the current version is v1.0.0.
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