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 AgenticAIPlan/AgenticAISkills --skill business-archives-fullgit clone --depth 1 https://github.com/AgenticAIPlan/AgenticAISkillsWrote 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/agenticaiplan/agenticaiskills/business-archives-full)<a href="https://agentmods.dev/skills/agenticaiplan/agenticaiskills/business-archives-full"><img src="https://agentmods.dev/badge/skills/agenticaiplan/agenticaiskills/business-archives-full/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/agenticaiplan/agenticaiskills/business-archives-full"><img src="https://agentmods.dev/badge/skills/agenticaiplan/agenticaiskills/business-archives-full.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 | $0.00103 | $0.00867 |
| Opus 5 | $0.00051 | $0.00434 |
| Sonnet 5 | $0.00021 | $0.00173 |
| Haiku 4.5 | $0.00010 | $0.00087 |
Grade A, and why
business-archives-full 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 — 118 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Enterprise Profile Builder
This skill generates a comprehensive company profile following the 8-section SOP workflow.
Workflow Overview
When the user provides a company name, execute the following steps in order:
Step 1: Search Basic Information (工商信息搜索)
Search for company basic info using web search. Query patterns:
{公司名称} 工商信息 注册资本 法定代表人{公司名称} 企查查 爱企查 基本信息{公司名称} 参保人数 员工规模
Collect: 企业名称、注册资本、注册地、股权信息、社保人数、成立时间、荣誉资质、知识产权数量
Step 2: Generate Main Products (主营产品)
Use the prompt from references/01_main_products.md:
- Replace
{公司名称}with actual company name - Generate concise product introduction
Step 3: Generate Founder Information (创始人信息)
Use the prompt from references/02_founder_info.md:
- Replace
{公司名称}with actual company name - Follow the reference format for consistent output
Step 4: Generate Product Introduction (产品介绍)
Use the prompt from references/03_product_intro.md:
- Replace
{公司名称}with actual company name - Focus on AI/artificial intelligence related products
- Use numbered list format
Step 5: Generate AI Scenarios (AI场景与需求)
Use the prompt from references/04_ai_scenarios.md:
- Replace
{公司名称}with actual company name - Focus on AI-related business scenarios
Step 6: Generate Benchmark Customers (标杆客户)
Use the prompt from references/05_benchmark_customers.md:
- Replace
{公司名称}with actual company name - Organize by industry categories
- Include cooperation descriptions
Step 7: Generate Company Development History (企业发展)
Use the prompt from references/06_company_development.md:
- Replace
{公司名称}with actual company name - Timeline format in chronological order
Step 8: Generate Enterprise News (企业新闻)
Use the prompt from references/07_enterprise_news.md:
- Replace
{公司名称}with actual company name - Prioritize cooperation-related news
- Reverse chronological order (newest first)
Output Format
Generate a complete Markdown document with the following structure:
# 【公司名称】企业档案
## 一、基本信息
| 字段 | 内容 |
|------|------|
| 企业名称 | XXX |
| 注册资本 | XXX |
| 注册地 | XXX |
| 成立时间 | XXX |
| 经营状态 | XXX |
| 社保人数 | XXX |
| 知识产权 | XXX |
## 二、主营产品
[AI生成内容]
## 三、创始人信息
[AI生成内容]
## 四、产品介绍
[AI生成内容]
## 五、AI场景与需求
[AI生成内容]
## 六、标杆客户
[AI生成内容]
## 七、企业发展
[AI生成内容]
## 八、企业新闻
[AI生成内容]
---
*档案生成时间: YYYY-MM-DD*
*数据来源: 爱企查、企查查、企业官网等公开渠道*
What ships with it
8 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.
- references/00_search_queries.md 1.2 KB
- references/01_main_products.md 545 B
- references/02_founder_info.md 926 B
- references/03_product_intro.md 1.0 KB
- references/04_ai_scenarios.md 824 B
- references/05_benchmark_customers.md 999 B
- references/06_company_development.md 1.0 KB
- references/07_enterprise_news.md 1.1 KB
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 · 118 lines · 0 tokens per session scan A 59a55d012604
business-archives-full is a skill published in the GitHub repository AgenticAIPlan/AgenticAISkills (11 stars, last pushed 3mo ago), licensed MIT. It adds 103 tokens to every session and 867 once invoked, about $0.0005 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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