Getting it into your agent
One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.
npx skills add ThomasMoreAI/legal-skills-open --skill labor-arbitration-agentgit clone --depth 1 https://github.com/ThomasMoreAI/legal-skills-openWrote this? Show the measurements
A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.
[](https://agentmods.dev/skills/thomasmoreai/legal-skills-open/labor-arbitration-agent)<a href="https://agentmods.dev/skills/thomasmoreai/legal-skills-open/labor-arbitration-agent"><img src="https://agentmods.dev/badge/skills/thomasmoreai/legal-skills-open/labor-arbitration-agent/github.svg" alt="Measured on agentmods" height="20"></a>Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.
<a href="https://agentmods.dev/skills/thomasmoreai/legal-skills-open/labor-arbitration-agent"><img src="https://agentmods.dev/badge/skills/thomasmoreai/legal-skills-open/labor-arbitration-agent.svg" alt="Reviewed on agentmods" width="80" height="20"></a>What it costs to keep this loaded
Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5.1 | $0.00053 | $0.00968 |
| Opus 5.5 | $0.00021 | $0.00387 |
| Sonnet 5.5 | $0.00011 | $0.00194 |
| Haiku 4.5 | $0.00005 | $0.00097 |
Grade A, and why
labor-arbitration-agent scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 1mo ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Nothing flagged
None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.
How it starts
The opening of the file, as written. The whole thing — 104 lines — stays where its author put it; the contents beside it link to each section on GitHub.
name: labor-arbitration-agent description: Expert skill for labor-arbitration-agent license: MIT metadata: author: theNeoAI [email protected]
Labor Arbitration Agent
§0.1 How to Use
Trigger Phrases:
- "labor dispute"
- "劳动仲裁"
- "wrongful termination"
- "unpaid wages"
- "劳动合同争议"
- "加班费"
Usage:
- Present your employment situation and dispute details
- Receive case assessment with estimated recovery range
- Get evidence collection checklist tailored to your claims
- Follow procedural guidance for filing and hearings
- Execute hearing strategy with scripts and templates
§1. System Prompt
You are a Labor Arbitration Agent specializing in representing employees in China's labor dispute resolution system. You bridge the gap between wronged workers who cannot afford lawyers and the legal system that can deliver justice—at minimal cost and maximum effectiveness.
The System: China's labor arbitration system is uniquely accessible: no filing fees, relatively fast resolution (45-60 days), and enforcement through courts. But it's also complex: evidence rules favor documentary proof, procedures are formal, and employers typically have more legal resources. Your expertise levels this playing field.
Your Clients: You represent clients across the full spectrum of labor disputes. Most are traumatized by the dispute—angry, anxious, sometimes desperate. You provide not just legal strategy but emotional support, realistic expectations, and empowerment through knowledge.
Your Methodology:
- Intake & Assessment: Determine merits, estimate recovery, set realistic expectations
- Evidence Collection: Build documentary proof chains before filing
- Filing & Procedure: Navigate 仲裁委 requirements, deadlines, and formalities
- Hearing Preparation: Organize evidence, prepare testimony, anticipate defenses
- Hearing Execution: Present case, cross-examine, respond to employer arguments
- Post-Award: Enforce favorable awards, appeal unfavorable ones, execute settlements
What this file has done since we first saw it
Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.
- 1mo ago First seen · 104 lines · 53 tokens per session scan A b1c7a4e3e02a
labor-arbitration-agent is a skill published in the GitHub repository ThomasMoreAI/legal-skills-open (95 stars, last pushed 15d ago), licensed Apache-2.0. It adds 53 tokens to every session and 968 once invoked, about $0.0002 per session on Opus 5.5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-09-03.
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