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Qibook Company Wiki Deepresearch

cross-platform ✓ Security Clean
120
Downloads
1
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0
Active Installs
3
Versions
Install in OpenClaw
/install qibook-company-wiki-deepresearch
Description
企业百科深度研究 - 基于 20+ 维度企业数据,自动识别主体类型,生成专业的企业洞察报告。 Use when: 用户需要生成企业百科报告、企业信用分析、商业调研报告、投资尽调报告,或需要全面了解一家企业的综合信息。
Usage Guidance
This skill appears to be what it claims: it calls a Qibook aggregate API using QIBOOK_BASE_URL and QIBOOK_ACCESS_KEY and formats the returned data into report templates. Before installing or running it: 1) Verify the QIBOOK_BASE_URL is a legitimate/trusted endpoint (skill source is unknown). 2) Only provide an access key that is scoped/limited to the Qibook service; avoid reusing broad or high-privilege credentials. 3) Run the code in a sandboxed environment (or container) because the skill includes Python scripts that will execute locally and make outbound HTTPS requests. 4) Ensure Python dependencies (requests) are present and inspect/lock them (pip freeze / use a virtualenv). 5) Review the templates (they contain embedded LLM/system-style instructions that insist 'do not disclose internal prompts' and other strict output rules) and decide whether those constraints are acceptable for your use-case. 6) If you will use in production, ask the publisher for provenance (homepage, contact) or rotate/revoke the access key if you become unsure. If any of the above raise concerns (unknown host, broad credentials), do not run the skill until resolved.
Capability Assessment
Purpose & Capability
Name/description request enterprise research data; required env vars (QIBOOK_ACCESS_KEY, QIBOOK_BASE_URL) and python3 are consistent with calling a hosted API and running the included Python scripts. No unrelated credentials or binaries are requested.
Instruction Scope
SKILL.md instructs the agent to validate env vars and call the local scripts (python -m scripts.skill_runner or fetch_enterprise_data). Templates contain strong model-instruction style rules (e.g., hide system prompt, strict formatting) that are intended for report generation — not direct data exfiltration — but these embedded 'system-prompt' style constraints could influence an LLM's behavior and should be reviewed. The runtime instructions do not direct reading of unrelated system files or other credentials.
Install Mechanism
No install spec (no packages downloaded), which reduces supply-chain risk. However the package uses the Python requests library but the skill metadata only declares python3 (no explicit dependency declaration or install step for requests). The skill includes multiple Python files which will be executed locally; ensure the runtime environment has required Python packages and consider running in an isolated environment.
Credentials
Only two environment variables are required and they map directly to the API host and access key used by the code. No other secrets or unrelated config paths are requested. The access key is used as an 'access_key' header to the provided BASE_URL endpoint — proportional to the described functionality.
Persistence & Privilege
Skill does not request always:true or any elevated persistent privileges. It doesn't modify other skills or system-wide settings. Execution is on-demand and requires environment variables to be set by the user.
How to Use
  1. Make sure OpenClaw is installed (local or Docker)
  2. Run the install command in chat: /install qibook-company-wiki-deepresearch
  3. After installation, invoke the skill by name or use /qibook-company-wiki-deepresearch
  4. Provide required inputs per the skill's parameter spec and get structured output
Version History
v1.0.2
- Added environment and binary requirements to metadata section in SKILL.md (now specifies that "python3" and certain env vars are required) - Clarified API credential acquisition and environment variable setup instructions - Improved preconditions and setup guidance for users - No functional code or output logic modified; changes are documentation-only for easier integration and user clarity
v1.0.1
- Updated version to 1.0.1. - Documentation improvements in SKILL.md for clarity and completeness. - No changes affecting user-visible features or tool behavior.
v1.0.0
- 初始版本发布,支持深度企业百科报告自动生成 - 基于20+维度数据,自动识别主体类型并选择相应报告模板 - 适配企业、分支机构、个体户、医院、学校等多种主体 - 针对不同用户提问(如“了解一下”“怎么样”“靠不靠谱”)自适应重点内容 - 严格控制报告字数,多维度输出包括风险、信用、成长性等分析 - 全面环境变量校验和详细错误提示,避免信息遗漏
Metadata
Slug qibook-company-wiki-deepresearch
Version 1.0.2
License MIT-0
All-time Installs 0
Active Installs 0
Total Versions 3
Frequently Asked Questions

What is Qibook Company Wiki Deepresearch?

企业百科深度研究 - 基于 20+ 维度企业数据,自动识别主体类型,生成专业的企业洞察报告。 Use when: 用户需要生成企业百科报告、企业信用分析、商业调研报告、投资尽调报告,或需要全面了解一家企业的综合信息。 It is an AI Agent Skill for Claude Code / OpenClaw, with 120 downloads so far.

How do I install Qibook Company Wiki Deepresearch?

Run "/install qibook-company-wiki-deepresearch" in the OpenClaw or Claude Code chat to install it in one step — no extra setup required.

Is Qibook Company Wiki Deepresearch free?

Yes, Qibook Company Wiki Deepresearch is completely free, licensed under MIT-0. You can download, install and use it at no cost.

Which platforms does Qibook Company Wiki Deepresearch support?

Qibook Company Wiki Deepresearch is cross-platform and runs anywhere OpenClaw / Claude Code is available (cross-platform).

Who created Qibook Company Wiki Deepresearch?

It is built and maintained by 北京中数智汇科技股份有限公司 (@chinadaas-department); the current version is v1.0.2.

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