Credit Risk Data Cleaning
github/awesome-copilot
Cleans raw credit data and screens variables before loan modeling, dropping unstable, noisy or redundant features and writing an Excel report of every step.
A skill your agent uses when you need a bank corporate credit issue-list assistant (问题清单/补件清单/催办台账).
Apache-2.0Auto-check passed
Install Bank T143 Corporate Finance Task Assistant
$ npx skills add aifinlab/FinClaw --skill bank-t143-corporate-finance-task-assistant -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install aifinlab/FinClaw bank-t143-corporate-finance-task-assistant --agent claude-codeProject scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).
$ git clone --depth 1 https://github.com/aifinlab/FinClaw.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/bank-t143-corporate-finance-task-assistant .claude/skills/bank-t143-corporate-finance-task-assistant && rm -rf skills-srcUse ~/.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/
Install the "bank-t143-corporate-finance-task-assistant" agent skill from https://github.com/aifinlab/FinClaw/tree/main/skills/bank-t143-corporate-finance-task-assistant into .claude/skills/bank-t143-corporate-finance-task-assistant/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "bank-t143-corporate-finance-task-assistant", then confirm the skill loads.Claude Code copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$skill-installer install https://github.com/aifinlab/FinClaw/tree/main/skills/bank-t143-corporate-finance-task-assistantType this inside Codex. $skill-installer <name> installs a curated skill from openai/skills. The installer writes to $CODEX_HOME/skills (default ~/.codex/skills). Restart Codex if the skill does not show up.
$ npx skills add aifinlab/FinClaw --skill bank-t143-corporate-finance-task-assistant -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install aifinlab/FinClaw bank-t143-corporate-finance-task-assistant --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/aifinlab/FinClaw.git skills-src && mkdir -p .agents/skills && cp -r skills-src/skills/bank-t143-corporate-finance-task-assistant .agents/skills/bank-t143-corporate-finance-task-assistant && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "bank-t143-corporate-finance-task-assistant" agent skill from https://github.com/aifinlab/FinClaw/tree/main/skills/bank-t143-corporate-finance-task-assistant into .agents/skills/bank-t143-corporate-finance-task-assistant/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "bank-t143-corporate-finance-task-assistant", then confirm the skill loads.Codex copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add aifinlab/FinClaw --skill bank-t143-corporate-finance-task-assistant -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install aifinlab/FinClaw bank-t143-corporate-finance-task-assistant --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/aifinlab/FinClaw.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/skills/bank-t143-corporate-finance-task-assistant .cursor/skills/bank-t143-corporate-finance-task-assistant && rm -rf skills-srcUse ~/.cursor/skills/ instead of .cursor/skills for a personal install.
Cursor skills documentation · loads skills from .cursor/skills/, .agents/skills/, .claude/skills/, .codex/skills/
Install the "bank-t143-corporate-finance-task-assistant" agent skill from https://github.com/aifinlab/FinClaw/tree/main/skills/bank-t143-corporate-finance-task-assistant into .cursor/skills/bank-t143-corporate-finance-task-assistant/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "bank-t143-corporate-finance-task-assistant", then confirm the skill loads.Cursor copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gemini skills install https://github.com/aifinlab/FinClaw.git --path skills/bank-t143-corporate-finance-task-assistant--scope user (default) or --scope workspace; --path is the subfolder of the repo that holds the skill; --consent skips the security confirmation prompt.
$ npx skills add aifinlab/FinClaw --skill bank-t143-corporate-finance-task-assistant -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install aifinlab/FinClaw bank-t143-corporate-finance-task-assistant --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/aifinlab/FinClaw.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/skills/bank-t143-corporate-finance-task-assistant .gemini/skills/bank-t143-corporate-finance-task-assistant && rm -rf skills-srcUse ~/.gemini/skills/ instead of .gemini/skills for a personal install, then run /skills reload.
Gemini CLI skills documentation · loads skills from .gemini/skills/, .agents/skills/
Install the "bank-t143-corporate-finance-task-assistant" agent skill from https://github.com/aifinlab/FinClaw/tree/main/skills/bank-t143-corporate-finance-task-assistant into .gemini/skills/bank-t143-corporate-finance-task-assistant/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "bank-t143-corporate-finance-task-assistant", then confirm the skill loads.Gemini CLI copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gh skill install aifinlab/FinClaw bank-t143-corporate-finance-task-assistantInstalls for Copilot at project scope by default; add --scope user for a personal install. Preview a skill first with gh skill preview. Needs GitHub CLI 2.90.0 or later (public preview).
$ npx skills add aifinlab/FinClaw --skill bank-t143-corporate-finance-task-assistant -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/aifinlab/FinClaw.git skills-src && mkdir -p .github/skills && cp -r skills-src/skills/bank-t143-corporate-finance-task-assistant .github/skills/bank-t143-corporate-finance-task-assistant && rm -rf skills-srcUse ~/.copilot/skills/ instead of .github/skills for a personal install. Commit .github/skills so cloud agent and code review can use it.
GitHub Copilot skills documentation · loads skills from .github/skills/, .claude/skills/, .agents/skills/
Install the "bank-t143-corporate-finance-task-assistant" agent skill from https://github.com/aifinlab/FinClaw/tree/main/skills/bank-t143-corporate-finance-task-assistant into .github/skills/bank-t143-corporate-finance-task-assistant/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "bank-t143-corporate-finance-task-assistant", then confirm the skill loads.GitHub Copilot copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add aifinlab/FinClaw --skill bank-t143-corporate-finance-task-assistant -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install aifinlab/FinClaw bank-t143-corporate-finance-task-assistant --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/aifinlab/FinClaw.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/skills/bank-t143-corporate-finance-task-assistant .opencode/skills/bank-t143-corporate-finance-task-assistant && rm -rf skills-srcUse ~/.config/opencode/skills/ instead of .opencode/skills for a personal install.
OpenCode skills documentation · loads skills from .opencode/skills/, .claude/skills/, .agents/skills/
Install the "bank-t143-corporate-finance-task-assistant" agent skill from https://github.com/aifinlab/FinClaw/tree/main/skills/bank-t143-corporate-finance-task-assistant into .opencode/skills/bank-t143-corporate-finance-task-assistant/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "bank-t143-corporate-finance-task-assistant", then confirm the skill loads.OpenCode copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
Facts
- Skill name
bank-t143-corporate-finance-task-assistant- GitHub stars
- 255
- Token cost
- ~487 tokens
- SKILL.md length
- 78 words
- Files
- 9 (incl. scripts, references, assets)
- Skills in repo
- 74
- Repo updated
- First seen
- Licence
- Apache-2.0
At a glance
A skill your agent uses when you need a bank corporate credit issue-list assistant (问题清单/补件清单/催办台账).
- Works in 5 steps: 收集问题来源：审查意见、访谈纪要、台账、外部查询、贷后检查等。 → 结构化每条问题：问题描述、证据、影响、责任人、截止时间。 → 分级：硬性阻断项（高）优先闭环；关键证据缺口（中）设定最小证据；一般补充（低）合并… → …
- You need a bank corporate credit issue-list assistant (问题清单/补件清单/催办台账)
- SKILL.md covers 适用范围, 何时使用, 何时不要使用 and 默认工作流, plus 7 more sections
- Runs Python scripts from its folder; calls python
What it does
Bank T143 Corporate Finance Task Assistant is an agent skill from aifinlab/FinClaw. Use when you need a bank corporate credit issue-list assistant (问题清单/补件清单/催办台账). Trigger this skill for把审查问题拆成“严重程度、证据要求、责任到人、截止时间、升级路径”的可执行清单，并可用脚本从结构化输入生成问题台账与催办要点。
Its SKILL.md is about 490 tokens, which your agent loads only when the skill is triggered. The skill folder holds 12 other files, including scripts, reference files and assets (for example `assets/example-input.json`, `assets/templates/chase-message-template.md` and `assets/templates/issue-ledger-template.md`).
The licence is Apache-2.0.
When your agent uses it
- You need a bank corporate credit issue-list assistant (问题清单/补件清单/催办台账)
- This skill for把审查问题拆成严重程度、证据要求、责任到人、截止时间、升级路径的可执行清单，并可用脚本从结构化输入生成问题台账与催办要点
Example prompts
- “严重程度、证据要求、责任到人、截止时间、升级路径”
- “/bank-t143-corporate-finance-task-assistant”
Requirements
- Python 3
Workflow steps
5 steps, taken from the first numbered list in SKILL.md.
- 收集问题来源：审查意见、访谈纪要、台账、外部查询、贷后检查等。
- 结构化每条问题：问题描述、证据、影响、责任人、截止时间。
- 分级：硬性阻断项（高）优先闭环；关键证据缺口（中）设定最小证据；一般补充（低）合并批量处理。
- 输出台账：按严重程度排序，形成催办节奏与升级路径。
- 复查闭环：收到材料后逐条更新“证据是否满足/是否仍有缺口/是否需要升级”。
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 T143 Corporate Finance Task Assistant loads about 487 tokens when it runs, and up to ~1k if it reads all its reference files. Until then it costs about 52 tokens; SKILL.md has 78 words of instructions outside code blocks.
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). 78 words, ~487 tokens.
Download SKILL.mdSave it as
.claude/skills/bank-t143-corporate-finance-task-assistant/SKILL.md (or your agent's skills folder). This skill also uses 8 other files; get the full folder from GitHub.- name
- bank-t143-corporate-finance-task-assistant
- description
- Use when you need a bank corporate credit issue-list assistant (问题清单/补件清单/催办台账). Trigger this skill for把审查问题拆成“严重程度、证据要求、责任到人、截止时间、升级路径”的可执行清单，并可用脚本从结构化输入生成问题台账与催办要点。
授信问题清单生成助手（补件/催办/复查闭环）
本技能把“审查提问/补件要求/风险关注点”整理成可推进的台账：
- 把问题按严重程度分层：高（硬性阻断）/中（关键证据缺口）/低（一般补充）
- 每条问题必须包含：问题本体、证据要求、影响、责任人、截止时间
- 输出要能直接用于：催办、复查、会签升级、记录归档
适用范围
- 授信准入/续作：审查问题清单与补件清单
- 贷后核验：预警触发后的问题分解与整改跟踪
- 中台运营：标准化催办台账，避免“口头问、口头回”
何时使用
- 需要把一堆审查意见整理成“可催办”的台账
- 需要明确：哪些是硬性阻断项、哪些是补强证据后可推进项
- 需要为每条问题设定责任归口、截止时间与复查节点
何时不要使用
- 用户要求弱化/删除关键风险、把待确认写成已确认时
- 需要替代审批结论时（本 skill 只输出问题与证据要求，不下最终批复）
默认工作流
- 收集问题来源：审查意见、访谈纪要、台账、外部查询、贷后检查等。
- 结构化每条问题：问题描述、证据、影响、责任人、截止时间。
- 分级：硬性阻断项（高）优先闭环；关键证据缺口（中）设定最小证据；一般补充（低）合并批量处理。
- 输出台账：按严重程度排序，形成催办节奏与升级路径。
- 复查闭环：收到材料后逐条更新“证据是否满足/是否仍有缺口/是否需要升级”。
重点分析框架
- 信息来源是否清楚，时间线是否清晰
- 摘要是否保留关键风险、决策点和责任分工
- 是否明确哪些事项仍未解决
- 输出是否适合目标受众快速阅读
输入要求
最低必需（详见 references/input-schema.md）：
company.nameissue_context.stage（准入/续作/贷后/重组等）issues[]（每条至少包含issue与severity）
强烈建议：
issues[].required_materials：最小证据清单issues[].owner与issues[].due_date：便于催办闭环
输出要求
- 硬性阻断项（hard_stoppers）
- 问题清单台账（issues：含严重度、责任人、截止时间）
- 补件/证据建议（supplement_suggestions）
- 核验/访谈问题（questions）
- 催办与推进动作（actions）
- 关键信息缺口（gaps）
脚本输出字段见 references/output-schema.md。
风险与边界
- 不得把初步分析包装成正式授信批复或最终审批结论
- 不得编造财务、行业或外部查询结果
- 不得遗漏重大风险、分歧点或未决事项
- 不清楚的内容应标记为待确认，不得擅自补写
信息不足时的处理
- 先列出已经掌握的事实，再明确缺失的关键字段，不要直接沉默
- 无法形成强结论时，优先输出框架、待补资料和优先核验事项
- 对依赖外部数据、制度文本或人工核实的部分，要单独标注[待补充/待确认]
配套脚本（可重复执行）
python scripts/run_skill.py --input assets/example-input.json --format markdown
python scripts/run_skill.py --input assets/example-input.json --format jsonscripts/run_skill.py：命令行入口scripts/credit_issue_list_builder.py：t143 场景封装（调用共享引擎）
交付标准
- 每条问题都可执行：责任到人 + 截止时间 + 证据交付物
- 能在 1 页内看清楚“高优先级/硬阻断”是什么，以及下一步怎么推进
- 输出能直接复制到催办邮件/消息/工单
© 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 8 other files (scripts, references, assets) in skills/bank-t143-corporate-finance-task-assistant of aifinlab/FinClaw.
- SKILL.md
- assets/example-input.json
- assets/templates/chase-message-template.md
- assets/templates/issue-ledger-template.md
- references/input-schema.md
- references/issue-list-checklist.md
- references/output-schema.md
- scripts/credit_issue_list_builder.py
- scripts/run_skill.py
Open the folder on GitHubat commit 9e62862
Compare with similar skills
Bank T143 Corporate Finance Task 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.
| Skill | Stars | Used in | Tokens | Auto-check | Licence | Repo updated |
|---|---|---|---|---|---|---|
| Bank T143 Corporate Finance Task Assistant this skillaifinlab/FinClaw | 255 | — | ~487 | Automated safety check: Pass | Apache-2.0 | |
| Credit Risk Data Cleaninggithub/awesome-copilot | 40k | 1 repos | ~1.5k | Automated safety check: Pass | MIT | |
| Open Banking Iodavila7/claude-code-templates | 33k | — | ~472 | Automated safety check: Pass | MIT | |
| Journal Of Money Credit And Bankingfranklee16/academic-research-skills | 223 | 1 repos | ~1.6k | Automated safety check: Pass | None | |
| Credit Cycle Analysissickn33/agentic-awesome-skills | 47k | 1 repos | ~4.2k | Automated safety check: Pass | MIT | |
| Generic Assistantmastra-ai/mastra | 29k | — | ~1.1k | Automated safety check: Pass | Custom licence |
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Questions about Bank T143 Corporate Finance Task Assistant
What does Bank T143 Corporate Finance Task Assistant do?
A skill your agent uses when you need a bank corporate credit issue-list assistant (问题清单/补件清单/催办台账). Bank T143 Corporate Finance Task Assistant is an agent skill from aifinlab/FinClaw. Use when you need a bank corporate credit issue-list assistant (问题清单/补件清单/催办台账).
When should I use Bank T143 Corporate Finance Task Assistant?
Bank T143 Corporate Finance Task Assistant fits situations like: you need a bank corporate credit issue-list assistant (问题清单/补件清单/催办台账); this skill for把审查问题拆成严重程度、证据要求、责任到人、截止时间、升级路径的可执行清单，并可用脚本从结构化输入生成问题台账与催办要点.
How do I install Bank T143 Corporate Finance Task Assistant in Claude Code?
Run `npx skills add aifinlab/FinClaw --skill bank-t143-corporate-finance-task-assistant -a claude-code`. Or copy the skill folder (skills/bank-t143-corporate-finance-task-assistant in aifinlab/FinClaw) into .claude/skills/bank-t143-corporate-finance-task-assistant in your project. Claude Code loads it when a task matches its description.
How do I install Bank T143 Corporate Finance Task Assistant in Codex?
Run `npx skills add aifinlab/FinClaw --skill bank-t143-corporate-finance-task-assistant -a codex`. Or copy the skill folder (skills/bank-t143-corporate-finance-task-assistant in aifinlab/FinClaw) into .agents/skills/bank-t143-corporate-finance-task-assistant in your project. Codex loads it when a task matches its description.
Can I use Bank T143 Corporate Finance Task 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-t143-corporate-finance-task-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-t143-corporate-finance-task-assistant, .gemini/skills/bank-t143-corporate-finance-task-assistant, .github/skills/bank-t143-corporate-finance-task-assistant and .opencode/skills/bank-t143-corporate-finance-task-assistant in your project.
What does Bank T143 Corporate Finance Task Assistant need to run?
Going by SKILL.md and its folder, Bank T143 Corporate Finance Task 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 T143 Corporate Finance Task 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 T143 Corporate Finance Task 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 T143 Corporate Finance Task Assistant use?
Bank T143 Corporate Finance Task 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 T143 Corporate Finance Task Assistant use?
About 487 tokens (SKILL.md is roughly 1.9k 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 542 tokens, read only when the agent opens those files.
What are the alternatives to Bank T143 Corporate Finance Task Assistant?
Skills that share tags, products or a category with Bank T143 Corporate Finance Task Assistant: Credit Risk Data Cleaning (github/awesome-copilot, 40k stars), Open Banking Io (davila7/claude-code-templates, 33k stars), Journal Of Money Credit And Banking (franklee16/academic-research-skills, 223 stars) and Credit Cycle Analysis (sickn33/agentic-awesome-skills, 47k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
Who maintains Bank T143 Corporate Finance Task 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.