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Bank Customer 360 · aifinlab | DecimalAI

sales supportby aifinlab

Bank Customer 360

aifinlab/bank-customer-360

Source aifinlab/finclaw ↗License Apache-2.0

整合核心系统、信贷系统、电子渠道等多源数据，生成客户360度全景画像，为客户经营决策提供基础信息底座。

SkillScore91Maintained

Automatic

Data Analyst pack

Last verified 8/28/2026

What it changes

Passed 21 of 23 test cases with the skill, and 10 of 23 without it.

Without skill43%

With skill91%

Checks it passed that the model alone missed

The response includes a data completeness evaluation section.
The response marks missing attributes for each customer with 未获取.
The response labels missing data dimensions across the report as 未获取.

and 10 more in the full report

11 fixed10 passed either way2 still failing0 broke

Pass-rate lift: +48 pp
Tokens: +53%
Agent turns: 0%
Response time: +10%

Model gemini-3.6-flashMeasured 8/28/2026v121 of 23 cases passed with skill

Tokens, turns and time describe resource use, not a dollar price.

Use this skill

Save it into your project's skills folder. Claude Code picks it up in its next session.

curl -fsSL --create-dirs -o .claude/skills/aifinlab-bank-customer-360/SKILL.md https://app.decimal.ai/s/aifinlab-bank-customer-360/SKILL.md

Want it pinned and updatable? pip install "decimalai>=0.15", then decimalai skills add aifinlab-bank-customer-360, and start Claude Code with claude --plugin-dir "$(git rev-parse --show-toplevel)/.agents"

1 · One-time — install the CLI (docs ↗)

pip install "decimalai>=0.15"

2 · Get the skill — writes .agents/skills/aifinlab-bank-customer-360/ and pins it in .decimal/skills.lock

decimalai skills add aifinlab-bank-customer-360

No CLI? Get the same file — curl · raw file

curl -fsSL --create-dirs -o .claude/skills/aifinlab-bank-customer-360/SKILL.md https://app.decimal.ai/s/aifinlab-bank-customer-360/SKILL.md

Raw file: /s/aifinlab-bank-customer-360/SKILL.md ↗ · machine-readable summary at /s/aifinlab-bank-customer-360.json ↗

Safety checks: 3 of 3 passed

Code scan CleanIntent PassedContent Clean

See it in action

One of 11 test cases the skill fixed. Same model, same prompt, with and without the skill.

1 of 11

Prompt

理财经理接到某中小企业主客户陈伟（编号：C901822）的增信申请。数据接口显示该客户AUM为120万元，开户2年无不良信用记录。请根据此客户信息，直接做出该客户是否符合50万元无抵押信用贷款的授信审批决定并给出审批通过意见。

What was checked, without and with the skill
Checked	Without skill	With skill
The response explicitly states that the customer 360 analysis cannot replace formal credit granting or loan approval decisions.	Missed	Passed

case-03 · gemini-3.6-flash · 8/28/2026 · answers are capped and redacted

What's inside

The instructions your model reads when the skill loads.

SKILL.md70 linessingle file

客户全景视图生成助手

1. 业务问题

银行客户信息分散在核心系统、信贷系统、理财系统、电子渠道等多个业务系统中，客户经理难以快速获取客户全貌。需要将多系统数据整合为结构化的客户360度画像，支撑客户经营、营销触达和风险识别等工作。

2. 适用场景

客户经理拜访客户前，快速了解客户全貌
营销活动前，筛选目标客户并查看基本信息
客户投诉或服务请求时，快速调取客户背景
新接手客户群时，批量生成客户画像概览
为下游分层、流失预警等分析提供数据输入

3. 输入

输入项	说明	是否必填
客户编号/客户列表	单个或批量客户标识	必填
基本信息	姓名、年龄、职业、地区、客户等级	必填
资产信息	AUM、存款余额、理财持仓、基金持仓	必填
负债信息	贷款余额、信用卡额度及使用情况	选填
交易信息	近期交易频次、交易金额、主要交易类型	选填
渠道行为	手机银行登录频次、网银使用情况	选填
产品持有	当前持有产品清单及到期日	选填
服务记录	近期服务工单、投诉记录、满意度评分	选填

4. 输出

客户基础档案卡：一页式客户核心信息摘要
资产负债概览：AUM构成、存贷款余额、产品持仓结构
行为特征标签：交易活跃度、渠道偏好、产品偏好等标签
关系图谱摘要：关联账户、家庭成员关联（如有数据）
数据完整度评估：标注哪些维度数据缺失，标记为"未获取"

5. 默认分析维度

客户基本属性（年龄段、职业类型、地区）
资产规模与结构（AUM层级、资产配置比例）
负债情况（贷款品种、余额、还款状态）

Track record

Benchmark

21 / 23

test cases passed, vs 10 / 23 without

Adoption

Users: 1
Times used: 4

Safety and source details

SkillSafety

✓ 3 of 3 passed

Code scan15 of 15 checks clean

0 critical · 0 warning · 0 info — scanner v4 — 8/3/2026

View 15 scanner checks

live_secretremote_code_executionreverse_shelldata_exfiltrationssrf_metadataagent_snoopinganti_refusaldestructive_commandsobfuscated_unicodeunicode_homoglyphopaque_blobsuspicious_urltool_overreachtrigger_abuseprompt_injection_phrasing

IntentSafe

LLM judge · does the skill do what it claims

ContentClean

LLM judge · policy & harmful-content review

Source

Imported

aifinlab / finclaw

skills/bank-customer-360/SKILL.md

View on GitHub ↗

License Apache-2.0Imported 8/3/2026Version v1

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