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 ChinaDaaS-Department/qibook-skills --skill qibook-company-profilegit clone --depth 1 https://github.com/ChinaDaaS-Department/qibook-skillsWrote 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/chinadaas-department/qibook-skills/qibook-company-profile)<a href="https://agentmods.dev/skills/chinadaas-department/qibook-skills/qibook-company-profile"><img src="https://agentmods.dev/badge/skills/chinadaas-department/qibook-skills/qibook-company-profile/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/chinadaas-department/qibook-skills/qibook-company-profile"><img src="https://agentmods.dev/badge/skills/chinadaas-department/qibook-skills/qibook-company-profile.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 | $0.00062 | $0.01326 |
| Opus 5.5 | $0.00025 | $0.00530 |
| Sonnet 5.5 | $0.00012 | $0.00265 |
| Haiku 4.5 | $0.00006 | $0.00133 |
Grade A, and why
qibook-company-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 2mo 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 — 151 lines — stays where its author put it; the contents beside it link to each section on GitHub.
查企业查老板
基于企百科 API,快速查询企业工商信息和人员关联信息,将结果转为中文 Markdown 后回答用户。
先理解用户想查什么(企业还是人、要哪些信息),再选择正确的查询路径,不要随意升级查询范围。
不适合深度企业分析(企业画像、信用评估、竞争力分析),这类需求应引导使用 qibook-company-wiki-deepresearch skill。
When to use
用户不说"工商"、"照面"这些术语也要触发。以下口语都属于本 skill 范围:
- 帮我查一下华为 / 美团的全称是什么 / XX 是哪家公司
- XX 的法人是谁 / 注册资本多少 / 什么时候成立的
- XX 的股东有哪些 / 高管是谁 / 对外投资 / 谁是大股东
- XX 是谁开的 / 这家公司老板是谁
- 查一下张三 / 张三名下有几家公司 / 张三在 XX 公司担任什么
- 查张三在北京的情况
口语理解优先:
- "查一下 XX 公司" → 主体识别,返回全称 + 信用代码
- "XX 的老板" / "谁开的" → 查法人代表
- "XX 名下有几家公司" → 查人员关联企业统计
- "XX 的股东" → 查股东及出资信息
Environment check
调用前先校验 QIBOOK_ACCESS_KEY 和 QIBOOK_BASE_URL 环境变量是否存在。缺失则提示:
export QIBOOK_ACCESS_KEY=your_key
export QIBOOK_BASE_URL=your_url
不要等到跑失败才暴露环境问题。
功能路由
重要:根据用户意图选择正确的功能,不要随意升级查询范围。
1. 主体识别
触发: 用户给了企业简称/别名想知道全称,或只提到公司名没要求具体信息。
python3 -m scripts.combined_query --entmark "华为"
只返回企业全称 + 统一社会信用代码,不要额外展开。
2. 查企业详细信息
触发: 用户明确要查照面/股东/高管/对外投资等具体信息。
python3 -m scripts.combined_query --entmark "天津测试有限公司"
用户没指定模块 → 默认只返回照面,提示"还可以进一步查看股东、高管、对外投资"。
3. 查人
仅人名 → 人员统计汇总:
python3 -m scripts.combined_query --name "张三"
人名+省份 → 该省份下的统计:
python3 -m scripts.combined_query --name "张三" --province "天津"
人名+企业 → 担任法人、高管、投资详情:
python3 -m scripts.combined_query --entmark "天津测试有限公司" --name "张三"
路由判断
用户提问
├── 只提到公司名/简称,没要求具体信息 → 功能1(主体识别)
├── 明确要查照面/股东/高管/对外投资 → 功能2(查企业)
├── 提到人名,没提公司 → 功能3(查人汇总)
├── 提到人名+省份 → 功能3(查人+省份)
└── 提到人名+公司 → 功能3(查人+企业详情)
回答规范
- 使用脚本返回的中文 Markdown 作为数据来源,不要暴露英文字段
- 数组数据(股东、高管等)用表格展示
- 空值字段脚本已自动过滤,无需额外处理
- 某模块数据为空 → 告知"暂无该项信息"
- 金额字段保留两位小数
- 查询为空时区分原因(名称不对 / 权限不足 / 网络异常),不要统一说"查询失败"
脚本说明
| 脚本 | 功能 |
|---|---|
scripts/base.py |
API 认证、调用、字段映射(英→中)、空值过滤、Markdown 格式化 |
scripts/combined_query.py |
三个功能的 fetch 函数,根据入参自动判断场景,返回 Markdown 字符串 |
scripts/__init__.py |
统一入口,导出 fetch / fetch_entity_id / fetch_enterprise / fetch_person_summary / fetch_person_detail |
What ships with it
3 files 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.
- 2mo ago First seen · 151 lines · 62 tokens per session scan A e4be63a60bc0
qibook-company-profile is a skill published in the GitHub repository ChinaDaaS-Department/qibook-skills (17 stars, last pushed 7mo ago), licensed MIT. It adds 62 tokens to every session and 1,326 once invoked, about $0.0002 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 2026-08-30.
qibook-company-profile compared with skills from other repositories
| Mod | Type | Stars | Last push | Licence | Scan | Tokens | Works with |
|---|---|---|---|---|---|---|---|
| qibook-company-profileChinaDaaS-Department/qibook-skills | Skill | 17 | 7mo ago | MIT | A | 62 | Claude Code |
| baoyu-youtube-transcriptJimLiu/baoyu-skills | Skill | 27k | today | MIT | A | 107 | Claude Code |
| baoyu-comicJimLiu/baoyu-skills | Skill | 27k | today | MIT | A | 61 | Claude Code |
| baoyu-diagramJimLiu/baoyu-skills | Skill | 27k | today | MIT | A | 133 | Claude Code |
| baoyu-danger-gemini-webJimLiu/baoyu-skills | Skill | 27k | today | MIT | A | 74 | Claude Code |
| vastai-sdkvast-ai/vast-cli | Skill | 230 | 2d ago | MIT | A | 26 | Claude Code |
| diagram-designanbeime/skill | Skill | 9.3k | today | none | A | 211 | Claude Code |