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 agentmods add skills/zhanglunet/qcc/qcc-basic-profilenpx skills add zhanglunet/qcc --skill qcc-basic-profilegit 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-basic-profile)<a href="https://agentmods.dev/skills/zhanglunet/qcc/qcc-basic-profile"><img src="https://agentmods.dev/badge/skills/zhanglunet/qcc/qcc-basic-profile.svg" alt="Measured on agentmods" 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 | $0.00206 | $0.01017 |
| Opus 5 | $0.00103 | $0.00508 |
| Sonnet 5 | $0.00041 | $0.00203 |
| Haiku 4.5 | $0.00021 | $0.00102 |
Grade A, and why
qcc-basic-profile 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 4d 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
qcc-basic-profile — 工商基础摘要
何时用
- 第一次接触某家公司,需要 5 分钟内了解概貌
- 给合同 / 招标 / 入库 / 法务对接 准备资料
- 校验对方提交的"营业执照副本扫描件"信息真伪
- 把多个工商字段(8 个 tool)一次性聚合,免去逐字段逐工具调用
不用的场景
- 只是想知道一个具体字段(如法定代表人) → 可以直接调
qcc-company:get_company_registration_info - 需要历史变更轨迹 → 用
qcc-ownership-trace(里面会调get_change_records) - 需要司法 / 失信 / 限消查询 → 用
qcc-risk-screen
调用流程
步骤 0(如用户输入非 USCC):走 qcc-anchor 拿到 USCC。
步骤 1-8(均以 USCC 作 searchKey,可并行):
| 序 | tool | 输出字段(节选) | 用途 |
|---|---|---|---|
| 1 | get_company_registration_info |
法代 / 注册资本 / 实缴 / 类型 / 注册地址 / 经营范围 / 登记机关 | 核心 — 唯一不能省 |
| 2 | get_company_profile |
QCC 自有简介 + 行业归类 | 业务一句话理解 |
| 3 | get_contact_info |
电话 / 邮箱 / 网址列表(含 ICP) | 客服 / 法务 / BD 对接 |
| 4 | get_key_personnel |
董事 / 监事 / 经理 / 财务负责人 | 看治理结构 |
| 5 | get_tax_invoice_info |
纳税人识别号 / 开户行 / 账号 | 开发票 / 转账校验 |
| 6 | get_branches |
分支机构(存续 / 注销 / 负责人 / 地区) | 看实际经营布局 |
| 7 | get_listing_info |
A股 / 港股 / 美股 / 新三板 | 看是否上市 / 上市主体 |
| 8 | get_annual_reports |
历年年报(社保人数 / 联系信息历史) | 人员规模趋势 + 自报口径 |
输出契约
basic_info: {法定代表人, 注册资本, 实缴, 成立日期, 登记状态, 企业类型, 经营期限, 国标行业}
profile: {简介, QCC 行业归类}
addresses: {注册地址, 通信地址, 登记机关}
contacts: {电话: [...], 邮箱: [...], 网址: [...]}
key_people: [{姓名, 职务, 持股}]
tax: {纳税人识别号, 开户行, 账号, 纳税人资质}
branches: {存续: [...], 注销: [...]}
listing: null | {上市地, 代码, 简称}
annual: {社保趋势: [{年度, 人数}], 资产负债: [企业是否公示]}
注意
- 母公司常常把"营业总收入 / 利润 / 资产"选择不公示,如需财务数字优先用
qcc-operation-pulse(融资 / 招标 / 资质)或外部审计报告 - 大公司的"参保人数"是单体母公司口径,不代表集团总人数(子公司各自单算)
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.
- 4d ago First seen · 61 lines · 206 tokens per session scan A f5edbf070161
qcc-basic-profile is a skill published in the GitHub repository zhanglunet/qcc (2 stars, last pushed 2mo ago), licensed Apache-2.0. It adds 206 tokens to every session and 1,017 once invoked, about $0.0010 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.
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