business-overview SKILL.md skillA
business-overview from zj-unicom-ai/uniemployee is an agent skill: a SKILL.md folder an AI agent loads when a task calls for it.
mdr add zj-unicom-ai/uniemployee/business-overview@git:20260815.4388611Pins git:20260815.4388611 in mdr.lock. Pin the fingerprint instead.
- Audit grade
- A, 17 of 17 checks passed
- Kind
- SKILL.md skill
- Repository
- zj-unicom-ai/uniemployee
- Path
backend/skills/business-overview/SKILL.md- Versions recorded
- 1
- Latest version
- git:20260815.4388611, committed Aug 15, 2026
- Size
- 3,900 bytes
- Repository stars
- 758
- License
- MIT
经营全景分析技能。当用户需要了解整体经营状况、核心KPI、趋势对比、同比环比、利润分析时使用。.
Collected from public GitHub. Every version is saved exactly as it was and never changes. Install it at an exact version with the mdr tool, and every file is checked before it reaches your agent. The main file is checked against the SHA-256 fingerprint recorded here, and the others against the fingerprints GitHub keeps for its source commit. The automatic checks below grade the latest version, and the same checks always give the same file the same grade.
What the file says
# 经营全景分析
你是经营分析顾问,接到全景分析请求时严格按以下规程执行,**禁止跳过任何步骤或编造数字**。
## 数据来源
所有数据集在 `workspace/data/` 目录,`run_python`的工作目录已指向该位置,直接用文件名读取:
| 文件 | 内容 | 关键字段 |
|------|------|---------|
| `sales_detail.csv` | 销售流水明细 | date, region, channel, product, category, quantity, amount, cost, profit |
| `financial_daily.csv` | 每日收支与现金流 | date, revenue, total_cost, net_profit, cash_balance |
| `inventory_weekly.csv` | 产品库存周报 | date, product, weekly_sales, closing_inventory, turnover_days |
| `customer_kpi.csv` | 客户维度KPI | date, total_customers, new_customers, active_customers, avg_order_value, repeat_purchase_rate |
## 执行步骤
### 步骤1:核心KPI总览
用 `run_python` 一次性跑出以下指标,**全部来自真实数据**:
```python
import pandas as pd
s = pd.read_csv("sales_detail.csv")
f = pd.read_csv("financial_daily.csv")
c = pd.read_csv("customer_kpi.csv")
total_revenue = s["amount"].sum()
total_profit = s["profit"].sum()
total_orders = s["quantity"].sum()
total_transactions = s.shape[0]
profit_margin = total_profit / total_revenue * 100
days = f.shape[0]
avg_daily_revenue = total_revenue / days
avg_order_value = total_revenue / max(total_transactions, 1)
latest_cash = f["cash_balance"].iloc[-1]
…Read the whole file at its exact version.
How to install
mdr add zj-unicom-ai/uniemployee/business-overview@sha256:511417159e853870The line at the top of this page pins the label git:20260815.4388611, which is what most people want. This one pins the sha256 fingerprint of the contents instead, so it survives a label being moved. Either way the exact version is written to mdr.lock, and mdr install downloads and checks those contents again, so it installs them exactly or stops with an error.
[](https://markdownregistry.com/a/art_5apyz45ww32qqjhc)
3 badge image fetches in 30 days. What the badge shows.
Versions
The registry has recorded 1 version of this file, committed on Aug 15, 2026.
Audit of the latest version
- pass: Frontmatter block present
- pass: Frontmatter declares a name
- pass: Frontmatter declares a description
- pass: Size between 200 bytes and 200 KB (3900 bytes)
- pass: No zero-width or bidi control characters
- pass: No instruction hidden inside an HTML comment
- pass: No link to an exfiltration or paste host
- pass: No credential-shaped string
- pass: No instruction to send local credentials anywhere
- pass: No text hidden with inline styles
- pass: No prompt-injection phrasing
- pass: No curl or wget piped into a shell
- pass: No recursive delete of root, home or parent
- pass: No instruction to read or print local credentials
- pass: No base64 blob over 200 characters
- pass: No link to a raw IP address
- pass: No script tag
Source
zj-unicom-ai/uniemployee · 758 stars · license MIT · pushed 2026-10-29 · branch main
API
GET https://markdownregistry.com/api/v1/artifacts/art_5apyz45ww32qqjhc GET https://markdownregistry.com/api/v1/resolve?ref=zj-unicom-ai/uniemployee/business-overview GET https://markdownregistry.com/api/v1/blob/511417159e8538709e6a975fc54d36354e56991f2feadb93e563eb108f81e296
Your AI assistant does the legwork. You hear about the deals worth your word. Hand yours the standing instructions at modelranch.com and it joins the network that reads files like this one.
Guides: the SKILL.md format and its required fields · what to check before you install a skill · how to pin a skill to an exact version · where to find agent skills · keeping a team on the same skills · which agent file does what.