qcc-cli

qcc-cli is a skill for Claude Code, Codex from szsip239/teamclaw. It costs 120 tokens per session (5,315 once invoked), scanned A, original, MIT.

A command-line tool for looking up Chinese company information, including registration details, owners, executives, risks, intellectual property, tenders, financing, and public opinion.

In plain words
What is it for?
Use it for company background checks, due diligence, supplier reviews, risk screening, company profiles, and sales-opportunity research.
Why use it?
It brings company background and risk information into one repeatable lookup instead of requiring scattered manual searches.

Skill for Claude CodeCodex

Install

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.

agentmods
npx agentmods add skills/szsip239/teamclaw/qcc-cli
Any agent
npx skills add szsip239/teamclaw --skill qcc-cli
Clone the repo
git clone --depth 1 https://github.com/szsip239/teamclaw

Made for: Claude Code, Codex.

Wrote 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.

agentmods badge for qcc-cli

README.md
[![agentmods](https://agentmods.dev/badge/skills/szsip239/teamclaw/qcc-cli.svg)](https://agentmods.dev/skills/szsip239/teamclaw/qcc-cli)
Your own site
<a href="https://agentmods.dev/skills/szsip239/teamclaw/qcc-cli"><img src="https://agentmods.dev/badge/skills/szsip239/teamclaw/qcc-cli.svg" alt="Measured on agentmods" height="20"></a>
Per session 120 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 5,315 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. Scan, not verified.
Origin original No closer match found in the catalogue.
Token cost

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.

ModelPer sessionOnce invoked
Fable 5 $0.00120 $0.05315
Opus 5 $0.00060 $0.02658
Sonnet 5 $0.00024 $0.01063
Haiku 4.5 $0.00012 $0.00532

Measured 4d ago against content hash a7bef4cd473a, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

qcc-cli 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.

data/skills/qcc-cli/SKILL.md · 422 lines

How it starts

The opening of the file, as written. The whole thing — 422 lines — stays where its author put it; the contents beside it link to each section on GitHub.

企查查企业背调 + 互联网信息补充

面向电信政企客户经理的企业全维度信息搜集与商机分析工具。以企查查 API(qcc-cli)为主力数据源,agent-browser 互联网搜索为补充。

环境检测(首次运行必须执行)

which qcc && qcc check
which agent-browser
  • qcc 不存在:npm install -g qcc-agent-cli
  • qcc 配置缺失:qcc init --authorization 'Bearer <token>'(联系管理员获取 token)
  • agent-browser 不存在:提醒用户安装 npm install -g agent-browser && agent-browser install --with-deps

CLI 用法

所有命令统一格式,支持位置参数简写:

qcc <类别> <命令> "企业名称或统一社会信用代码"
# 等同于
qcc <类别> <命令> --searchKey "企业名称或统一社会信用代码"

--json 获取原始 JSON。

数据采集流程

收到企业名称 {company} 后,按以下三阶段执行。每阶段评估已获取信息,信息充分则跳过后续同类查询。

第一阶段:企查查结构化数据(主力)

1. 企业基础信息
qcc company get_company_registration_info "{company}"
qcc company get_shareholder_info --json "{company}"
qcc company get_actual_controller "{company}"
qcc company get_key_personnel "{company}"
qcc company get_contact_info "{company}"
qcc company get_company_profile "{company}"
qcc company get_external_investments --json "{company}"
qcc company get_branches "{company}"
qcc company get_annual_reports --json "{company}"

get_annual_reports --json 返回最近 3 年年报数据。从每条记录的 社保信息.城镇职工基本养老保险 字段提取参保人数(格式为 "NNN人"),用于生成趋势图表。

2. 资质与荣誉标签
qcc operation get_qualifications "{company}"
qcc operation get_honor_info "{company}"
qcc operation get_ranking_list_info "{company}"

从资质证书中提取:高新技术企业、专精特新、DCMM、CS 认证等。 从荣誉信息中提取:独角兽、瞪羚、5G 工厂、制造业单项冠军等。 榜单数据可能很多(数百条),只取最近 1 年内的关键榜单。

3. 近期动态
qcc company get_change_records "{company}"
qcc operation get_financing_records --json "{company}"
qcc operation get_recruitment_info "{company}"
qcc operation get_bidding_info "{company}"
qcc operation get_news_sentiment --json "{company}"
4. 数字化与跨境评估
qcc ipr get_internet_service_info "{company}"
qcc operation get_import_export_credit "{company}"

get_internet_service_info 返回 ICP 网站、APP、小程序、算法备案数量 — 直接反映企业 IT 投入深度。 get_import_export_credit 有记录 = 有跨境业务 → 服贸通/SD-WAN/国际专线商机。

5. 风险快筛(签约前必查)
qcc risk get_dishonest_info "{company}"
qcc risk get_business_exception "{company}"
qcc risk get_tax_abnormal "{company}"
qcc risk get_administrative_penalty "{company}"

Read the full file on GitHub · 422 lines

Changes

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.

  1. 4d ago First seen · 422 lines · 120 tokens per session scan A a7bef4cd473a

Subscribe to this mod's changes

qcc-cli is a skill published in the GitHub repository szsip239/teamclaw (112 stars, last pushed 17d ago), licensed MIT. It adds 120 tokens to every session and 5,315 once invoked, about $0.0006 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 2026-08-30.

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