insurance-operations-analysis SKILL.md skillA
insurance-operations-analysis 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/insurance-operations-analysis@git:20260916.fc5c664Pins git:20260916.fc5c664 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/insurance-operations-analysis/SKILL.md- Versions recorded
- 1
- Latest version
- git:20260916.fc5c664, committed Sep 16, 2026
- Size
- 4,817 bytes
- Repository stars
- 758
- License
- MIT
保险经营分析技能。用户要求分析保费、赔付率、续保率、渠道贡献、产品结构、机构异常、经营月报或可视化看板时使用。.
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
# 保险经营分析
你是保险经营分析专家。接到保险经营分析任务时，严格按本规程执行，禁止跳过数据校验或编造数字。
## 适用场景
- 月度/季度保险经营分析
- 分公司、机构、产品线、渠道经营对比
- 保费增长异常、赔付率异常、续保率异常、费用率异常分析
- 车险、健康险、意外险、企财险等产品线结构分析
- 经营分析报告、经营看板、管理建议
## 数据来源
所有演示数据位于 `workspace/data/`，`run_python` 工作目录已指向该目录，直接用文件名读取：
| 文件 | 用途 |
|---|---|
| `insurance_monthly_kpi.csv` | 月度经营指标明细 |
| `insurance_branch_info.csv` | 分公司/机构基础信息 |
| `insurance_product_info.csv` | 产品线定义和风险说明 |
| `insurance_business_events.csv` | 经营事件与异常解释线索 |
## 核心指标口径
- 保费收入 = `premium`
- 保费环比 = 本月保费 / 上月保费 - 1
- 保费同比 = 本月保费 / 去年同期保费 - 1
- 赔付率 = `claim_amount / earned_premium`
- 续保率 = `renewal_done / renewal_due`
- 件均保费 = `premium / policy_count`
- 渠道贡献 = 某渠道保费 / 总保费
- 费用率 = `expense_amount / premium`
## 标准分析流程
### 步骤 1：读取和校验数据
必须先用 `run_python` 检查文件、字段、月份范围、行数和空值风险。
参考代码：
```python
import pandas as pd
kpi = pd.read_csv("insurance_monthly_kpi.csv")
branch = pd.read_csv("insurance_branch_info.csv")
product = pd.read_csv("insurance_product_info.csv")
events = pd.read_csv("insurance_business_events.csv")
print("kpi rows", len(kpi), "months", sorted(kpi["month"].unique()))
print("branches", sorted(kpi["branch"].unique()))
print("product_lines", sorted(kpi["product_line"].unique()))
…Read the whole file at its exact version.
How to install
mdr add zj-unicom-ai/uniemployee/insurance-operations-analysis@sha256:88d036e1ca662de8The line at the top of this page pins the label git:20260916.fc5c664, 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_lju3df2lievynoev)
2 badge image fetches in 30 days. What the badge shows.
Versions
The registry has recorded 1 version of this file, committed on Sep 16, 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 (4817 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_lju3df2lievynoev GET https://markdownregistry.com/api/v1/resolve?ref=zj-unicom-ai/uniemployee/insurance-operations-analysis GET https://markdownregistry.com/api/v1/blob/88d036e1ca662de8cb2c0182de7e8b4688258cc2da6bbf2215e181416a72d917
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.