Agent skill

Bank T122 Corporate Finance Creditdue Diligence Rm Assistant

by aifinlab in aifinlab/FinClaw

当用户需要在银行对公金融场景下,以客户经理视角推进企业授信尽调、整理资料清单、设计访谈提纲、识别现场核查重点、形成风险假设和输出尽调纪要时使用本技能。适合输出能直接支持客户拜访和授信推进的尽调包。

Apache-2.0Auto-check passed

Install Bank T122 Corporate Finance Creditdue Diligence Rm Assistant

skills CLI
$ npx skills add aifinlab/FinClaw --skill bank-t122-corporate-finance-creditdue-diligence-rm-assistant -a claude-code

Project install by default; add -g for ~/.claude/skills/.

GitHub CLI
$ gh skill install aifinlab/FinClaw bank-t122-corporate-finance-creditdue-diligence-rm-assistant --agent claude-code

Project scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).

Manual copy
$ git clone --depth 1 https://github.com/aifinlab/FinClaw.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/bank-t122-corporate-finance-creditdue-diligence-rm-assistant .claude/skills/bank-t122-corporate-finance-creditdue-diligence-rm-assistant && rm -rf skills-src

Use ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.

Claude Code skills documentation · loads skills from .claude/skills/

Facts

Skill name
bank-t122-corporate-finance-creditdue-diligence-rm-assistant
GitHub stars
255
Token cost
~994 tokens
SKILL.md length
123 words
Files
13 (incl. scripts, references, assets)
Skills in repo
74
Repo updated
First seen
Licence
Apache-2.0

At a glance

当用户需要在银行对公金融场景下,以客户经理视角推进企业授信尽调、整理资料清单、设计访谈提纲、识别现场核查重点、形成风险假设和输出尽调纪要时使用本技能。适合输出能直接支持客户拜访和授信推进的尽调包。

  • Works in 4 steps: 客户到底是不是“说得清、看得见、对得上” → 这笔授信为什么要做,现在为什么要做 → 现场最该看的是什么 → …
  • SKILL.md covers 适用范围, 何时使用, 何时不要使用 and 默认工作流, plus 8 more sections
  • Runs Python scripts from its folder; calls python

What it does

Bank T122 Corporate Finance Creditdue Diligence Rm Assistant is an agent skill from aifinlab/FinClaw. 当用户需要在银行对公金融场景下,以客户经理视角推进企业授信尽调、整理资料清单、设计访谈提纲、识别现场核查重点、形成风险假设和输出尽调纪要时使用本技能。适合输出能直接支持客户拜访和授信推进的尽调包。

Its SKILL.md is about 990 tokens, which your agent loads only when the skill is triggered. The skill folder holds 16 other files, including scripts, reference files and assets (for example `assets/example-input.json`, `assets/templates/due-diligence-note-template.md` and `assets/templates/interview-outline-template.md`).

The licence is Apache-2.0.

Example prompts

  • “/bank-t122-corporate-finance-creditdue-diligence-rm-assistant”

Requirements

  • Python 3

Workflow steps

4 steps, taken from the step headings in SKILL.md.

  1. 客户到底是不是“说得清、看得见、对得上”
  2. 这笔授信为什么要做,现在为什么要做
  3. 现场最该看的是什么
  4. 当前最可能踩雷的地方是什么

What it can do on your machine

Read from SKILL.md and the folder at commit 9e62862. It shows what the files ask for, not the result of running them.

  • Tool permissions

    Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.

    From allowed-tools in the SKILL.md frontmatter.

  • Runs code

    Ships 2 files in scripts/ (Python), which the agent can run.

    Shell commands in SKILL.md call:

    • python

    From the folder's file list and the shell code blocks in SKILL.md.

  • Network

    No URLs in SKILL.md.

    From URLs in SKILL.md, links to its own repository left out.

  • Credentials

    Names no API keys, tokens, secrets or passwords.

    From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.

Context cost

Bank T122 Corporate Finance Creditdue Diligence Rm Assistant loads about 994 tokens when it runs, and up to ~4.3k if it reads all its reference files. Until then it costs about 40 tokens; SKILL.md has 123 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~40
When it runs · the whole SKILL.md, loaded when a task matches
~994
With references · SKILL.md plus every file in references/, read only if the agent opens them
~4.3k

Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.

Safety

Auto-check passed

The automated check found no risky patterns in SKILL.md.

Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); the scripts in this folder are not scanned.

SKILL.md

The full file from aifinlab/FinClaw at commit 9e62862, republished under its Apache-2.0 licence (© aifinlab). 123 words, ~994 tokens.

Download SKILL.mdSave it as .claude/skills/bank-t122-corporate-finance-creditdue-diligence-rm-assistant/SKILL.md (or your agent's skills folder). This skill also uses 12 other files; get the full folder from GitHub.
name
bank-t122-corporate-finance-creditdue-diligence-rm-assistant
description
当用户需要在银行对公金融场景下,以客户经理视角推进企业授信尽调、整理资料清单、设计访谈提纲、识别现场核查重点、形成风险假设和输出尽调纪要时使用本技能。适合输出能直接支持客户拜访和授信推进的尽调包。

企业授信尽调助手-客户经理版

这个 skill 面向一线客户经理使用。它不是审查岗的终审工具,也不是审批会的拍板工具,而是帮助客户经理把授信尽调从“到处找材料、临时想问题”变成一套可执行的推进动作。

它优先解决五类问题:

  1. 客户经理这次去访谈和尽调,最该问什么
  2. 现有材料还缺什么,补件顺序怎么排
  3. 现场尽调最该看哪些地方
  4. 当前项目的风险假设是什么,下一步该怎么验证
  5. 如何把尽调过程沉淀成一份能往内部流转的结构化纪要

适用范围

  • 新增授信项目的客户经理尽调准备
  • 已报送项目的补充尽调与再访谈
  • 续授信、增额、展期前的一线客户复核
  • 需要输出访谈提纲、补件清单、现场核查重点、尽调纪要时
  • 需要把零散企业信息整理为“客户经理可执行动作包”时

何时使用

  • 用户说“帮我准备明天去客户那里尽调”“帮我列访谈问题”“帮我整理客户经理尽调清单”时
  • 用户已经拿到部分财务、合同、流水、工商信息,但还不知道尽调动作先后顺序时
  • 用户需要写客户经理版尽调纪要、问题清单、补件通知、现场核查要点时
  • 用户希望先把风险假设列出来,再决定下一步找什么证据验证时

何时不要使用

  • 用户要求直接输出最终授信审批意见、最终批复结论时
  • 用户要求伪造尽调记录、包装客户陈述、隐瞒重大风险时
  • 需要法律、审计、评估等专项专业结论才能定性的场景
  • 用户只需要纯行业研究,而不涉及具体授信客户尽调动作时

默认工作流

  1. 先明确本次尽调目标,是新增授信、补件尽调、贷后回访还是续作复核。
  2. 把现有信息按主体、业务、财务、用途、担保、外部风险六类归集。
  3. 先产出补件清单,再产出访谈提纲,再产出现场核查重点。
  4. 针对高风险假设设计验证动作,不要只停留在“有风险”三个字。
  5. 输出客户经理尽调纪要,明确已确认、待核验和待补充三类事项。
  6. 给出下一步推进建议,包括补件、复访、升级审查或暂缓推进。

客户经理版核心分析框架

1. 客户到底是不是“说得清、看得见、对得上”
  • 企业主体、股权、管理层是否说得清
  • 业务模式、订单、回款和流水是否对得上
  • 财务数据、现场情况和客户陈述是否能互相印证
2. 这笔授信为什么要做,现在为什么要做
  • 客户需求是否真实
  • 申请金额和期限是否与周转逻辑匹配
  • 用途和还款来源是否能被一线拿到证据支撑
3. 现场最该看的是什么
  • 生产经营是否真实存在
  • 客户、供应商、仓库、设备、库存、回款单据是否有重点异常
  • 管理层对关键问题能否自洽回答
4. 当前最可能踩雷的地方是什么
  • 主体和治理异常
  • 业务真实性不足
  • 现金流与利润背离
  • 对外担保、涉诉、舆情、关联交易
  • 增信措施“写得好看但落不到实处”

输入要求

建议尽量提供:

  • 企业基础资料:企业名称、行业、区域、成立年限、股权结构、实控人
  • 授信申请信息:品种、金额、期限、用途、增信方式
  • 财务与经营信息:收入、利润、现金流、订单、合同、发票、流水、纳税信息
  • 外部风险信息:工商变更、涉诉处罚、舆情、历史逾期、担保链风险
  • 当前材料状态:已经拿到什么、还缺什么、哪些材料客户口头说有但未提供
  • 本次尽调目标:访谈、补件、现场核查、纪要输出、内部汇报

详细字段见 input-schema.md。

输出要求

默认输出至少应包含:

  1. 本次尽调目标与项目概况
  2. 已掌握资料与关键信息缺口
  3. 客户经理补件清单
  4. 管理层访谈提纲
  5. 现场核查重点
  6. 初步风险假设
  7. 需向内部审查提前提示的问题
  8. 尽调纪要或一页纸摘要
  9. 下一步推进建议

配套脚本

  • scripts/corporate_credit_dd_rm.py:生成客户经理版尽调动作包
  • scripts/run_skill.py:脚本入口

示例调用:

bash
python scripts/run_skill.py --input assets/example-input.json --output dd_packet.md --format markdown

参考资料与模板

  • due-diligence-checklist.md
  • management-interview-outline.md
  • field-visit-guide.md
  • risk-red-flags.md
  • due-diligence-note-template.md
  • interview-outline-template.md
  • supplement-list-template.md

风险与边界

  • 本技能输出的是客户经理尽调动作和初步判断,不是最终授信审批意见。
  • 不得把客户口头陈述直接包装成“已核实事实”。
  • 不得为了推进业务淡化重大风险、虚构材料或跳过关键核查动作。
  • 对仍未核验的事项必须明确标注“待核验”“待补证据”。
  • 对需要外部权威核验的事项,应明确建议升级给审查、法务或专项核查。

信息不足时的处理

  • 如果材料少,就先输出补件清单和访谈提纲,不要强写完整尽调结论。
  • 如果行业和业务逻辑没看懂,就把现场核查重点和需客户说明的问题排在最前面。
  • 如果已经出现明显红旗,应把“先别急着推进,先核实什么”写清楚。

交付标准

  • 客户经理拿到输出后,能直接带着去见客户或整理内部报送材料。
  • 补件、访谈、现场核查、内部提示四类动作都要落到可执行层。
  • 能区分一线已确认信息、客户陈述信息和仍需后续核验的信息。

© aifinlab, Apache-2.0. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file

Files

SKILL.md and 12 other files (scripts, references, assets) in skills/bank-t122-corporate-finance-creditdue-diligence-rm-assistant of aifinlab/FinClaw.

  • SKILL.md
  • assets/example-input.json
  • assets/templates/due-diligence-note-template.md
  • assets/templates/interview-outline-template.md
  • assets/templates/supplement-list-template.md
  • references/due-diligence-checklist.md
  • references/field-visit-guide.md
  • references/input-schema.md
  • references/management-interview-outline.md
  • references/output-schema.md
  • references/risk-red-flags.md
  • scripts/corporate_credit_dd_rm.py
  • scripts/run_skill.py

Open the folder on GitHubat commit 9e62862

Compare with similar skills

Bank T122 Corporate Finance Creditdue Diligence Rm Assistant next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.

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Model Bank Metadatalobehub/lobehub83k—~2kAutomated safety check: PassCustom licence
N8n Docs Assistantn8n-io/n8n207k—~550Automated safety check: PassCustom licence
Corporatebergside/awesome-design-skills3.1k1 repos~992Automated safety check: PassMIT

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Questions about Bank T122 Corporate Finance Creditdue Diligence Rm Assistant

What does Bank T122 Corporate Finance Creditdue Diligence Rm Assistant do?

当用户需要在银行对公金融场景下,以客户经理视角推进企业授信尽调、整理资料清单、设计访谈提纲、识别现场核查重点、形成风险假设和输出尽调纪要时使用本技能。适合输出能直接支持客户拜访和授信推进的尽调包。. Bank T122 Corporate Finance Creditdue Diligence Rm Assistant is an agent skill from aifinlab/FinClaw.

How do I install Bank T122 Corporate Finance Creditdue Diligence Rm Assistant in Claude Code?

Run `npx skills add aifinlab/FinClaw --skill bank-t122-corporate-finance-creditdue-diligence-rm-assistant -a claude-code`. Or copy the skill folder (skills/bank-t122-corporate-finance-creditdue-diligence-rm-assistant in aifinlab/FinClaw) into .claude/skills/bank-t122-corporate-finance-creditdue-diligence-rm-assistant in your project. Claude Code loads it when a task matches its description.

How do I install Bank T122 Corporate Finance Creditdue Diligence Rm Assistant in Codex?

Run `npx skills add aifinlab/FinClaw --skill bank-t122-corporate-finance-creditdue-diligence-rm-assistant -a codex`. Or copy the skill folder (skills/bank-t122-corporate-finance-creditdue-diligence-rm-assistant in aifinlab/FinClaw) into .agents/skills/bank-t122-corporate-finance-creditdue-diligence-rm-assistant in your project. Codex loads it when a task matches its description.

Can I use Bank T122 Corporate Finance Creditdue Diligence Rm Assistant in Cursor, Gemini CLI or GitHub Copilot?

Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add aifinlab/FinClaw --skill bank-t122-corporate-finance-creditdue-diligence-rm-assistant -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/bank-t122-corporate-finance-creditdue-diligence-rm-assistant, .gemini/skills/bank-t122-corporate-finance-creditdue-diligence-rm-assistant, .github/skills/bank-t122-corporate-finance-creditdue-diligence-rm-assistant and .opencode/skills/bank-t122-corporate-finance-creditdue-diligence-rm-assistant in your project.

What does Bank T122 Corporate Finance Creditdue Diligence Rm Assistant need to run?

Going by SKILL.md and its folder, Bank T122 Corporate Finance Creditdue Diligence Rm Assistant needs Python for the scripts in its folder and the command-line tools its instructions call (python). Our summary lists: Python 3.

Does Bank T122 Corporate Finance Creditdue Diligence Rm Assistant access the network?

SKILL.md contains no URLs. Any network use would come from the scripts or tools the agent runs. This is read from the text; nothing was executed.

Is Bank T122 Corporate Finance Creditdue Diligence Rm Assistant safe to install?

Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. The check reads SKILL.md only: the scripts in the folder are not scanned, so read them before running anything.

What licence does Bank T122 Corporate Finance Creditdue Diligence Rm Assistant use?

Bank T122 Corporate Finance Creditdue Diligence Rm Assistant is published under the Apache-2.0 licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.

How many tokens does Bank T122 Corporate Finance Creditdue Diligence Rm Assistant use?

About 994 tokens (SKILL.md is roughly 4k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full. Its references folder adds about 3.3k tokens, read only when the agent opens those files.

What are the alternatives to Bank T122 Corporate Finance Creditdue Diligence Rm Assistant?

Skills that share tags, products or a category with Bank T122 Corporate Finance Creditdue Diligence Rm Assistant: Open Banking Io (davila7/claude-code-templates, 33k stars), Generic Assistant (mastra-ai/mastra, 29k stars), Model Bank Metadata (lobehub/lobehub, 83k stars) and N8n Docs Assistant (n8n-io/n8n, 207k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Bank T122 Corporate Finance Creditdue Diligence Rm Assistant?

aifinlab (a GitHub user) maintains it in aifinlab/FinClaw, which has 255 GitHub stars. The repository holds 74 skills in this directory. The repository was last updated on May 13, 2026.

Source: aifinlab/FinClaw on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.