account-review

面向基金投顾与客户服务领域的账户复盘任务Skill，围绕「账户复盘助手」场景提供信息抽取、结构化分析与结果输出。

IndexedApache-2.0★ 261

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Works with Claude Code, Claude apps, Codex, Cursor, Gemini CLI, GitHub Copilot, VS Code, OpenCode, Goose, Windsurf. Read the repository before you give any tool access to your data.

npx agentmarket install skill/aifinlab-account-review

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About

面向基金投顾与客户服务领域的账户复盘任务Skill，围绕「账户复盘助手」场景提供信息抽取、结构化分析与结果输出。

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Permissions

What this skill can do and what it asks for, from its SKILL.md. Checked Oct 25, 2026.

Tools: No tools found
Secrets: None asked for
Install scripts: None found
Runs as: Python package

Network hosts it talks to 1

codeload.github.com · found in install command

Files it touches

~/.claude/skills/account-review

What's inside

Skill name: account-review
Description: 面向基金投顾与客户服务领域的账户复盘任务Skill，围绕「账户复盘助手」场景提供信息抽取、结构化分析与结果输出。
License: Apache-2.0
Instructions: 129 lines in SKILL.md · view on GitHub

Before installing

Ships executable scripts

Files (4)

LICENSE
SKILL.md
requirements.txt
main.py · scripts/

SKILL.md (first lines)

# 账户复盘助手 Skill

## 数据来源

### 1. 输入类型

- 基金公告/定期报告/招募说明书/产品说明材料
- 净值与收益时间序列、持仓与资产配置披露
- 销售/服务记录、客户反馈与问答素材(如适用)
- 合规口径与品牌内容规范(如适用)

### 2. 主要数据要素

- 客户持仓结构与收益区间
- 风险偏好、适当性与行为标签
- 近期市场与产品动态
- 常见问题与服务记录
- 监管适当性要求与服务规范

### 3. 质量要求

- 输入信息尽量完整，包含时间区间、基金代码与核心指标
- 若来自 OCR/截图，请尽量校对错字与断行
- 对于未披露的数据需明确标注“缺失/待补充”

---

## 核心能力

- 提取核心指标(收益、风险、风格、持仓特征)并进行结构化汇总
- 识别优势/短板与关键驱动因子，形成可追溯的分析链条
- 对异常波动或结构变化给出原因假设与影响评估
- 输出可执行的跟进建议与观察清单
- 输出触达/陪伴策略与关键沟通节奏
- 沉淀客户异议与情绪标签，形成安抚与引导话术

---

## 输出结构

### 1. 基础字段

- skill
- domain
- scene
- input_summary
- key_findings
- data_quality
- limitations

### 2. 场景扩展模块(按需输出)

- analysis
- metrics
- diagnosis
- risks
- recommendations
- customer_strategy
- segments
- touchpoints
- tone

---

## 使用示例

### 1. 安装依赖

```bash
pip install -r requirements.txt
```

### 2. 运行脚本

```bash
python scripts/main.py --input sample.txt --output-json result.json --output-md report.md
```

### 3. 输出示例

```json
{
  "skill": "账户复盘助手",
  "domain": "投顾与客户服务",
  "scene": "账户复盘",
  "input_summary": {
    "fund_code": "000000",
    "fund_name": "示例基金",
    "period": "2024Q4",
    "data_coverage": "净值/持仓/披露/市场"
  },
  "key_findings": [
    "关键结论1",
    "关键结论2"
  ],
  "data_quality": {
    "has_text": true,
    "text_length": 1200
  },
  "limitations": [
    "仅基于输入信息形成初步判断"
  ]
}
```

---

## 注意事项与限制

- 仅对输入文本进行结构化与初步判断，不替代人工投研或合规结论
- 若缺少关键数据(持仓、基准、时间区间)，结果需明确提示不完整
- 输出建议应结合实际业务口径与监管要求复核

---

## 适用场景

- 业务条线: 投顾与客户服务
- 场景/能力: 账户复盘

From aifinlab/FinClaw, Apache-2.0.

Signals

Stars: 261
Forks: 39
Open issues: 2
Last commit (this folder): Mar 26, 2026 (7 months ago)

From GitHub (fetched Oct 24, 2026).

Details

License: Apache-2.0
Repository: github.com/aifinlab/FinClaw
First seen: Oct 24, 2026
Last checked: Oct 24, 2026
Source: GitHub github-graphql

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account-review skill. Agent Mart. https://agentmart.dev/skills/aifinlab-account-review (last updated 2026-10-24)