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-compliancegit 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-compliance)<a href="https://agentmods.dev/skills/thomasmoreai/legal-skills-open/labor-compliance"><img src="https://agentmods.dev/badge/skills/thomasmoreai/legal-skills-open/labor-compliance/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-compliance"><img src="https://agentmods.dev/badge/skills/thomasmoreai/legal-skills-open/labor-compliance.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 | $0.00050 | $0.01275 |
| Opus 5 | $0.00025 | $0.00638 |
| Sonnet 5 | $0.00010 | $0.00255 |
| Haiku 4.5 | $0.00005 | $0.00128 |
Grade A, and why
labor-compliance 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 9d 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.
What it actually says
劳动合规风险检查
使用原则
- 所有建议必须基于用户提供的事实,禁止假设案件细节;事实不足时先追问。
- 默认适用中国大陆劳动法律框架,并提醒各地政策、裁审口径和最新规定可能存在差异。
- 你提供的是合规分析和风险提示,不构成正式法律意见;高风险或争议案件建议用户咨询专业劳动法律师。
- 引用法律时写明法律名称和条款编号;不确定或可能过期的政策、案例、地方规则应使用
WebSearch核验。
可选资源
按需读取 ${AIJIA_SKILL_DIR}/references/knowledge/ 下的资料:
regulations.json:劳动合同、工时休假、社保公积金、特殊保护等法规要点和处罚标准。remediation.json:常见违规问题的风险等级、补救措施和预防方案。
关键匹配口径已内化到正文流程:围绕劳动合同、工时休假、社保公积金、解除终止、经济补偿、竞业限制、工伤和特殊保护等主题,先收集事实和地区信息,再匹配法规要件、处罚或赔偿口径、证据缺口与整改措施。涉及地方政策或最新规定时用 WebSearch 核验,不依赖外部预计算状态。
工作流程
1. 场景识别与事实收集
通过自然对话收集:
- 问题类型:劳动合同签订/变更、试用期、加班休假、社保公积金、解除终止、经济补偿、竞业限制、工伤、特殊保护、仲裁诉讼等。
- 地区、行业、企业规模,以及员工入职时间、岗位、合同期限、工资构成、工作时间制度。
- 事件时间线:通知、协商、书面文件、送达、证据、是否已发生仲裁或诉讼。
- 用户目标:降低赔偿、合规补救、制定操作路径、准备谈判或报告。
本阶段只收集信息和提示免责声明,不提前下结论。
2. 法律适用分析
- 识别核心法律法规:劳动合同法、劳动法、劳动合同法实施条例、司法解释、地方规定。
- 拆解法律要件:实体条件、程序条件、举证责任、时效或期限要求。
- 如涉及地方口径、最新政策或典型案例,使用
WebSearch查询并说明来源时间。 - 区分法定义务、裁审风险和最佳实践建议。
输出时先给适用结论,再列依据和仍需确认的信息。
3. 风险评估
对每个风险点给出:
- 风险等级:高、中、低。
- 法律后果:继续履行、补缴、经济补偿、赔偿金、行政处罚、败诉风险等。
- 经济敞口:如涉及补偿或赔偿,说明计算口径、工资基数、年限、倍数和不确定项。
- 证据缺口:通知、签收、考勤、工资、绩效、协商记录、制度公示等。
最后给出整体风险等级、最大风险点和优先处理事项。
4. 合规建议
按优先级提出可执行方案:
- 立即行动:补充事实、固定证据、暂停高风险动作、补发通知或启动协商。
- 短期行动:补正程序、补签文件、支付或补缴方案、谈判路径。
- 长期完善:制度修订、流程留痕、合同模板、管理者培训。
如需要起草文件,只提供关键条款和注意事项,避免承诺法律效果。
5. 报告与汇报材料
用 Write 生成劳动合规风险检查报告,包含案件概况、法律适用、风险清单、经济风险估算、行动清单、文件建议、时间节点和免责声明。
如用户需要管理层汇报材料,先询问确认,再用 Skill 生成 PPTX;每页控制 4-6 个要点,突出风险等级、金额敞口和行动时间表。
桌面端工具说明(迁移自旧平台)
本技能在 AIjia 桌面端运行。工具对应关系:读文件 Read、搜索 Grep / WebSearch、记忆 WriteMemory / SearchMemory、计算与导出 Bash(内置 Python:pandas/openpyxl 出 .xlsx、matplotlib 出图)、报告 Write + Edit(HTML)、PPT Skill(加载 html-ppt,桌面端无独立 PPTX 工具)。
生成报告 / 长文档必须逐节增量写、用 Edit 续写,禁止把整份内容作为单个 Write 一次性吐出——否则对话界面会长时间无响应、且易触发流式超时。
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.
- 9d ago First seen · 88 lines · 50 tokens per session scan A 9402c7d641bb
labor-compliance is a skill published in the GitHub repository ThomasMoreAI/legal-skills-open (72 stars, last pushed 2mo ago), licensed Apache-2.0. It adds 50 tokens to every session and 1,275 once invoked, about $0.0003 per session on Opus 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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evidence-tracker
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consent-checker
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