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 zhanglunet/qcc --skill qcc-risk-screengit clone --depth 1 https://github.com/zhanglunet/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/zhanglunet/qcc/qcc-risk-screen)<a href="https://agentmods.dev/skills/zhanglunet/qcc/qcc-risk-screen"><img src="https://agentmods.dev/badge/skills/zhanglunet/qcc/qcc-risk-screen/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/zhanglunet/qcc/qcc-risk-screen"><img src="https://agentmods.dev/badge/skills/zhanglunet/qcc/qcc-risk-screen.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 | $0.00279 | $0.01487 |
| Opus 5 | $0.00139 | $0.00744 |
| Sonnet 5 | $0.00056 | $0.00297 |
| Haiku 4.5 | $0.00028 | $0.00149 |
Grade A, and why
qcc-risk-screen 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 12d 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 — 122 lines — stays where its author put it; the contents beside it link to each section on GitHub.
qcc-risk-screen — 全维度风险扫描
何时用
- 授信 / 担保 / 合同审批的最后一道闸
- 供应商 / 经销商准入审核
- M&A 标的红线扫描
- 投后监控(定期跑 + diff 上次结果)
- 客户 / 合作方异动告警
不用的场景
- 只是想知道有没有失信(单点查询):直接调单个 tool 即可,不需要 skill
- 个人(法代 / 高管)的司法风险 →
qcc-executive-background - 想找特定案号的判决书原文 → QCC 只给摘要,要原文走裁判文书网
调用流程
步骤 0:qcc-anchor → USCC
步骤 1:按 4 个优先级分组并行调用(配额紧张时只跑 P0)。
P0 — 直接 red flag(12 个,必跑)
| tool | 触发即高危 |
|---|---|
get_dishonest_info |
被执行人 / 失信被执行人 |
get_exit_restriction |
限制出境 |
get_high_consumption_restriction |
限制高消费 |
get_judgment_debtor_info |
被执行人 |
get_serious_violation |
严重违法失信名单 |
get_business_exception |
经营异常 |
get_bankruptcy_reorganization |
破产重整 |
get_tax_violation |
税收违法 |
get_tax_abnormal |
税务异常 |
get_tax_arrears_notice |
欠税公告 |
get_simple_cancellation_info |
简易注销中(主体可能即将消失) |
get_disciplinary_list |
联合惩戒名单 |
P1 — 在册案件 / 诉讼(7 个)
| tool | 含义 |
|---|---|
get_judicial_documents |
裁判文书摘要 |
get_case_filing_info |
在册立案 |
get_court_notice |
在册法院公告 |
get_hearing_notice |
在册未审开庭公告 |
get_pre_litigation_mediation |
诉前调解 |
get_service_notice |
送达公告 |
get_service_announcement |
送达通知 |
P2 — 财产 / 股权 / 抵质押(8 个)
| tool | 含义 |
|---|---|
get_equity_freeze |
股权冻结 |
get_equity_pledge_info |
股权出质 |
get_stock_pledge_info |
股票质押 |
get_chattel_mortgage_info |
动产抵押 |
get_land_mortgage_info |
土地抵押 |
get_judicial_auction |
司法拍卖 |
get_property_asset_announcement |
财产公告 |
get_valuation_inquiry |
询价评估 |
P3 — 行政 / 清算 / 终本(7 个)
| tool | 含义 |
|---|---|
get_administrative_penalty |
行政处罚 |
get_environmental_penalty |
环保处罚 |
get_default_info |
违约 / 欠款 |
get_guarantee_info |
对外担保 |
get_liquidation_info |
清算 |
get_cancellation_record_info |
注销记录 |
get_public_exhortation |
公开催告 |
get_terminated_cases |
终结本次执行 |
优先级 cutoff(用户没指定时的默认行为)
- 默认跑 P0 + P1(19 个 tool)
- 用户说"全维度" / "深度" → 跑完整 34 个
- 用户说"快速" / "授信前 30 秒" → 只跑 P0(12 个)
输出契约
red_flags: # P0 命中
- dimension: 失信被执行人
count: 0
records: []
litigation: # P1
- dimension: 在册立案
count: 3
records: [{case_no, plaintiff, defendant, date, status}]
encumbrance: # P2
- dimension: 股权出质
count: 2
financial_admin: # P3
- dimension: 行政处罚
count: 0
risk_score_hint: # 给 Agent 用的速读
level: "low | medium | high"
reasoning: "..."
What ships with it
1 file beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.
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.
- 12d ago First seen · 122 lines · 279 tokens per session scan A 0a064f04bc01
qcc-risk-screen is a skill published in the GitHub repository zhanglunet/qcc (2 stars, last pushed 3mo ago), licensed Apache-2.0. It adds 279 tokens to every session and 1,487 once invoked, about $0.0014 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 2026-08-31.
Other skills, from other repositories
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agb-in-kapitalanlagen-effektenhandel
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mahngebuehren-und-zinsanpassung-agb
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regulatory-analysis
Analyzes documents and processes against FINRA, SEC, Federal Reserve, and CFPB regulatory frameworks. Identifies compliance gaps, classifies findings by severity, and recommends remediation. Use when performing compliance audits, regulatory reviews, gap analyses, or verifying policy adherence to financial regulations.
document-review
Reviews financial documents (prospectuses, ADVs, marketing materials) for FINRA 2210 compliance, required disclosures, and balanced presentation. Use when reviewing financial statements, audit documents, regulatory filings, or when the user mentions compliance checks, financial audits, or document verification.