Bank Corporate Credit Dd

What it does

When your agent uses it

• The user asks for help with corporate credit due diligence
• Enterprise credit investigation
• Pre-loan review
• Borrower analysis

Example prompts

• “/bank-corporate-credit-dd”

Requirements

• Python 3

Workflow steps

6 steps, taken from the first numbered list in SKILL.md.

1. 1Clarify the due diligence task type.
2. 2Extract and structure enterprise information.
3. 3Assess information sufficiency.
4. 4Perform risk screening.
5. 5Produce the right output.
6. 6Apply conservative judgment.

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 3 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 Corporate Credit Dd loads about 952 tokens when it runs, and up to ~2.4k if it reads all its reference files. Until then it costs about 155 tokens; SKILL.md has 322 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it

~155

When it runs · the whole SKILL.md, loaded when a task matches

~952

With references · SKILL.md plus every file in references/, read only if the agent opens them

~2.4k

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

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). 322 words, ~952 tokens.

name

bank-corporate-credit-dd

description

Use this skill when the user asks for help with corporate credit due diligence, enterprise credit investigation, pre-loan review, borrower analysis, document collection, management interview preparation, risk identification, or drafting due diligence reports in banking corporate finance scenarios. Trigger this skill for requests involving: - 对公授信尽调 - 企业客户授信调查 - 贷前调查与审查 - 授信资料清单整理 - 企业经营与财务风险识别 - 尽调报告、访谈提纲、风险提示、授信分析摘要生成 Do not use this skill for retail banking, consumer lending, personal mortgage, pure legal opinion writing, or final credit approval decisions without sufficient evidence.

# 调用 skill
result = run_skill({
    "param1": "value1",
    "param2": "value2"
})

python scripts/run_skill.py --input data.json

© 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-corporate-credit-dd of aifinlab/FinClaw.

• SKILL.md
• assets/templates/document_request_list_template.md
• assets/templates/due_diligence_report_template.md
• assets/templates/management_interview_questions.md
• references/domain-knowledge.md
• references/due-diligence-checklist.md
• references/interview-outline-template.md
• references/output-schema.md
• references/report-template.md
• references/risk-red-flags.md
• scripts/extract_financial_risks.py
• scripts/normalize_company_info.py
• scripts/render_dd_report.py

Open the folder on GitHubat commit 9e62862