Getting it into your agent
It runs from inside its repository, so the clone comes first — what it calls does not travel with the file alone.
git clone --depth 1 https://github.com/ThomasMoreAI/legal-skills-opennpx agentmods add skills/thomasmoreai/legal-skills-open/litigation-analysis-qccWrote 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/litigation-analysis-qcc)<a href="https://agentmods.dev/skills/thomasmoreai/legal-skills-open/litigation-analysis-qcc"><img src="https://agentmods.dev/badge/skills/thomasmoreai/legal-skills-open/litigation-analysis-qcc/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/litigation-analysis-qcc"><img src="https://agentmods.dev/badge/skills/thomasmoreai/legal-skills-open/litigation-analysis-qcc.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 | $0.00366 | $0.06059 |
| Opus 5.5 | $0.00146 | $0.02424 |
| Sonnet 5.5 | $0.00073 | $0.01212 |
| Haiku 4.5 | $0.00037 | $0.00606 |
Grade A, and why
litigation-analysis-qcc 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 — 272 lines — stays where its author put it; the contents beside it link to each section on GitHub.
📖 QCC MCP 术语对照表（强制工具映射）
使用约定：本表列出 SKILL 内业务简写与企查查 MCP 工具的精确映射。AI 执行本 SKILL 时遇到下表"业务简写"列的词汇，必须调用对应"MCP 工具"列，禁止使用 web search 或自由文本推测替代。完整规范见 QCC-MCP-TERMINOLOGY.md。
| 业务简写 | 规范全名 | 企查查 MCP 工具 |
|---|---|---|
| 失信 | 失信被执行人 | mcp__qcc-risk__get_dishonest_info |
| 被执行 | 被执行人 / 判决债务人 | mcp__qcc-risk__get_judgment_debtor_info |
| 限高 | 限制高消费 | mcp__qcc-risk__get_high_consumption_restriction |
| 限出境 / 限境 | 限制出境 | mcp__qcc-risk__get_exit_restriction |
| 终本 | 终结本次执行案件 | mcp__qcc-risk__get_terminated_cases |
| 破产 / 重整 | 破产重整 | mcp__qcc-risk__get_bankruptcy_reorganization |
| 经营异常 | 经营异常 | mcp__qcc-risk__get_business_exception |
| 严重违法 | 严重违法失信 | mcp__qcc-risk__get_serious_violation |
| 行政处罚 / 重大处罚 | 行政处罚 | mcp__qcc-risk__get_administrative_penalty |
| 股权冻结 | 股权冻结 | mcp__qcc-risk__get_equity_freeze |
| 股权出质 | 股权出质 | mcp__qcc-risk__get_equity_pledge_info |
| 欠税 | 欠税公告 | mcp__qcc-risk__get_tax_arrears_notice |
| 税务异常 / 税务违法 | 税务异常 / 税收违法 | mcp__qcc-risk__get_tax_abnormal / mcp__qcc-risk__get_tax_violation |
| 受益所有人 / UBO | 受益所有人 | mcp__qcc-company__get_beneficial_owners |
| 实控人 / 实际控制人 | 实际控制人 | mcp__qcc-company__get_actual_controller |
| 主要人员 / 董监高 | 主要人员 | mcp__qcc-company__get_key_personnel |
| 抽查检查 / 双随机 | 双随机抽查 | mcp__qcc-operation__get_random_check |
| 吊销 | （登记状态字段判断） | 调 mcp__qcc-company__get_company_registration_info 取"登记状态" |
| 资不抵债 | （资产负债率字段判断） | 调 mcp__qcc-company__get_financial_data 判断负债率 > 100% |
诉讼风险评估 · 企查查 MCP V2.0 增强版
SKILL 定位
本 SKILL 服务于立案前对手方核查、授信尽调、投资尽调、供应商准入、客户信用评估、破产预警等场景的涉诉深度分析需求。输入目标企业全称或统一社会信用代码后，SKILL 自动执行"企业现状 × 企业历史 × 核心人员"三层扫描，识别活跃诉讼、历史诉讼、执行风险、关键人员个人涉诉，最终输出综合诉讼风险评级与决策建议。
V2.0 相对旧版的最大变化是引入"历史"与"核心人员"两个独立维度。旧版受限于 MCP 只能拉到当前数据，只能以发布日期做粗糙的年份切分做趋势近似；V2.0 可以直接调取历史数据接口，形成真实的时间序列，并对关键人员做个人诉讼档案，真正实现"企业层面看不到的风险信号，从人员和历史两个侧面把它揪出来"。
MCP 依赖与配置
SKILL 运行前必须确保以下 MCP Server 已配置：
必选：
qcc-risk（风控大脑，34 工具）—— 当前司法记录全量qcc-history（历史存档，34 工具）—— 本 SKILL 核心数据源之一，提供 5-10 年真实诉讼时间序列
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 · 272 lines · 366 tokens per session scan A d1d741d64ca3
litigation-analysis-qcc is a skill published in the GitHub repository ThomasMoreAI/legal-skills-open (95 stars, last pushed 15d ago), licensed Apache-2.0. It adds 366 tokens to every session and 6,059 once invoked, about $0.0015 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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