business-archives-full

business-archives-full is a skill for Claude Code from AgenticAIPlan/AgenticAISkills. It costs 103 tokens per session (867 once invoked), scanned A, original, MIT.

A structured company-profile builder that creates a detailed archive about a business. It gathers basic public information and organizes products, founders, artificial-intelligence use cases, and related sections.

In plain words
What is it for?
Use it to prepare company background files covering registration details, ownership, products, founders, and possible AI needs.
Why use it?
It reduces the time spent searching for company facts and keeps research in a consistent format. It helps separate researched information from generated descriptions.

Skill for Claude Code

Written for Claude Code: shipped in a Claude Code plugin.

Part of the agentic-ai-skills plugin — 54 skills shipped together

Good fit Use it to prepare company background files covering registration details, ownership, products, founders, and possible AI needs.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/agenticaiplan/agenticaiskills/business-archives-full
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.

Any agent
npx skills add AgenticAIPlan/AgenticAISkills --skill business-archives-full
Clone the repo
git clone --depth 1 https://github.com/AgenticAIPlan/AgenticAISkills

Made for: Claude Code.

Or install agentic-ai-skills, the plugin that ships this one along with the rest of its 54 skills.

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 business-archives-full

README.md
[![agentmods](https://agentmods.dev/badge/skills/agenticaiplan/agenticaiskills/business-archives-full/github.svg)](https://agentmods.dev/skills/agenticaiplan/agenticaiskills/business-archives-full)
Your own site
<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.

agentmods 80×15 button for business-archives-full

Your own site · 80×15
<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>
Per session 103 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 867 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe.
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 5.1 $0.00103 $0.00867
Opus 5 $0.00051 $0.00434
Sonnet 5 $0.00021 $0.00173
Haiku 4.5 $0.00010 $0.00087

Measured 12d ago against content hash 59a55d012604, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-11, from the pricing page.

Security

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.

skills/business-archives-full/SKILL.md · 118 lines

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*

Read the full file on GitHub · 118 lines

Files

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.

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. 12d ago First seen · 118 lines · 0 tokens per session scan A 59a55d012604

Subscribe to this mod's changes

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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