Agent skill

Xiaobai Coach

by infometa in infometa/workbuddyskills

给小白讲清理财、基金、股票知识,并配套实操工具与清单的财商陪跑技能。当用户问个人理财、攒钱、基金/ETF/股票/债券入门、定投、资产配置、复利计算、估值、止盈止损、识别投资骗局等问题时使用。

No licenceAuto-check passedBusiness, Finance & HR

Install Xiaobai Coach

skills CLI
$ npx skills add infometa/workbuddyskills --skill xiaobai-coach -a claude-code

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

GitHub CLI
$ gh skill install infometa/workbuddyskills xiaobai-coach --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/infometa/workbuddyskills.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/xiaobai-coach .claude/skills/xiaobai-coach && 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
xiaobai-coach
GitHub stars
348
Token cost
~1.4k tokens
SKILL.md length
284 words
Files
21 (incl. scripts, references, assets)
Skills in repo
218
Repo updated
First seen
Licence
None found

At a glance

给小白讲清理财、基金、股票知识,并配套实操工具与清单的财商陪跑技能。当用户问个人理财、攒钱、基金/ETF/股票/债券入门、定投、资产配置、复利计算、估值、止盈止损、识别投资骗局等问题时使用。

  • Works in 8 steps: 长期主义优先:默认推荐 3… → 风险第一:永远先讲"会亏多少、能否承受",再讲"能赚多少"。任何收益话题必须配对应… → 远离三类东西:杠杆(融资融券、配资、合约)、看不懂的产品(私募、原始股、虚拟币山寨… → …
  • Tasks that involve Stock and market analysis
  • SKILL.md covers 一、技能定位与价值观(必读,先于一切回答), 二、何时使用本技能, 三、回答工作流(每一次都必须按此流程) and 四、核心知识地图(按需深入加载), plus 4 more sections
  • Runs Python scripts from its folder; calls python

What it does

Xiaobai Coach is an agent skill from infometa/workbuddyskills. 给小白讲清理财、基金、股票知识,并配套实操工具与清单的财商陪跑技能。当用户问个人理财、攒钱、基金/ETF/股票/债券入门、定投、资产配置、复利计算、估值、止盈止损、识别投资骗局等问题时使用。

Its SKILL.md is about 1.4k tokens, which your agent loads only when the skill is triggered. The skill folder holds 23 other files, including scripts, reference files and assets (for example `assets/family-financial-checkup.md`, `assets/fund-screening-checklist.md` and `assets/investment-journal-template.md`).

It sits in Business, Finance & HR, covering Stock and market analysis. The repository describes itself as: WorkBuddy skills / connectors / experts archive for offline study.

When your agent uses it

  • Tasks that involve Stock and market analysis

Example prompts

  • “/xiaobai-coach”

Requirements

  • Python 3

Workflow steps

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

  1. 长期主义优先:默认推荐 3 年以上的视角;不鼓励短线炒作、不预测短期涨跌、不"看图说话"喊点位。
  2. 风险第一:永远先讲"会亏多少、能否承受",再讲"能赚多少"。任何收益话题必须配对应的最大回撤说明。
  3. 远离三类东西:杠杆(融资融券、配资、合约)、看不懂的产品(私募、原始股、虚拟币山寨盘、所谓内幕股)、承诺高息保本的一切(年化 > 6% 即需警惕,> 8% 大概率有坑,> 10% 准备损失本金)。
  4. 不荐股、不预测、不抄作业:从不给出"现在买 XX 股票/基金"的明确买卖指令。可以讲行业逻辑、估值方法、筛选框架,但最终决策必须由用户自己做。
  5. 价值投资 + 指数基金优先:对小白默认推荐"宽基指数基金 + 长期定投"为主战场,少量主动基金或个股作为认知提升后的补充。
  6. 诚实于不确定性:当涉及未来走势、宏观判断时,明确说"不知道"、"概率"、"假设",不装大师。
  7. 反 PUA、反焦虑、反一夜暴富:不放大恐惧("再不买就晚了"),不放大贪婪("翻倍很简单")。
  8. 合规边界:不做具体的税务、法律、跨境监管建议;涉及私人定制方案时,提示用户咨询持牌投资顾问。

What it can do on your machine

Read from SKILL.md and the folder at commit 91b77ea. 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 4 files in scripts/ (Python, from the files we listed), 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

Xiaobai Coach loads about 1.4k tokens when it runs, and up to ~17k if it reads all its reference files. Until then it costs about 27 tokens; SKILL.md has 284 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~27
When it runs · the whole SKILL.md, loaded when a task matches
~1.4k
With references · SKILL.md plus every file in references/, read only if the agent opens them
~17k

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

Without a licence we can't republish the file, so here is its outline and opening line. It has 284 words (~1,441 tokens).

name
xiaobai-coach
version
1.0.0
display_name
小白理财教练
display_name_en
Xiaobai Money Coach
description_zh
当韭菜需要勇气,不当韭菜需要这个教练。面向零基础小白的财商陪跑助手:用生活类比讲清理财、基金、股票、定投、资产配置等概念,配套复利、定投、退休缺口等计算工具与实操清单,坚持长期主义、风险优先、不荐股、不预测、反诈防骗。
description_en
A financial literacy coach for absolute beginners. It explains saving, funds, stocks, dollar-cost averaging and asset allocation with everyday analogies…
visibility
public

Read the full SKILL.md on GitHub

Files

SKILL.md and 20 other files (scripts, references, assets) in skills/xiaobai-coach of infometa/workbuddyskills.

  • SKILL.md
  • assets/family-financial-checkup.md
  • assets/fund-screening-checklist.md
  • assets/investment-journal-template.md
  • assets/monthly-review-template.md
  • references/analogies.md
  • references/asset-allocation.md
  • references/asset-classes.md
  • references/core-concepts.md
  • references/financial-roadmap.md
  • references/fund-playbook.md
  • references/mindset.md
  • references/scam-shield.md
  • references/stock-playbook.md
  • scripts/compound_calculator.py
  • scripts/dca_simulator.py
  • scripts/debt_priority.py
  • scripts/fee_checker.py
  • … and 3 more

Open the folder on GitHubat commit 91b77ea

Compare with similar skills

Xiaobai Coach 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.

Xiaobai Coach compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Xiaobai Coach this skillinfometa/workbuddyskills348—~1.4kAutomated safety check: PassNone
Stock APIzhangxiangliang/stock-api2k—~507Automated safety check: PassMIT
Tushare Datazillionare/zillionare3222 repos~2.3kAutomated safety check: PassNone
Tradingview MCPatilaahmettaner/tradingview-mcp5k—~1.3kAutomated safety check: PassMIT
Digital Oraclekomako-workshop/digital-oracle878—~5.9kAutomated safety check: PassMIT
Longbridge Researchhelsome/folio2713 repos~2.1kAutomated safety check: PassMIT

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Questions about Xiaobai Coach

What does Xiaobai Coach do?

给小白讲清理财、基金、股票知识,并配套实操工具与清单的财商陪跑技能。当用户问个人理财、攒钱、基金/ETF/股票/债券入门、定投、资产配置、复利计算、估值、止盈止损、识别投资骗局等问题时使用。. Xiaobai Coach is an agent skill from infometa/workbuddyskills.

When should I use Xiaobai Coach?

Xiaobai Coach fits situations like: tasks that involve Stock and market analysis.

How do I install Xiaobai Coach in Claude Code?

Run `npx skills add infometa/workbuddyskills --skill xiaobai-coach -a claude-code`. Or copy the skill folder (skills/xiaobai-coach in infometa/workbuddyskills) into .claude/skills/xiaobai-coach in your project. Claude Code loads it when a task matches its description.

How do I install Xiaobai Coach in Codex?

Run `npx skills add infometa/workbuddyskills --skill xiaobai-coach -a codex`. Or copy the skill folder (skills/xiaobai-coach in infometa/workbuddyskills) into .agents/skills/xiaobai-coach in your project. Codex loads it when a task matches its description.

Can I use Xiaobai Coach 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 infometa/workbuddyskills --skill xiaobai-coach -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/xiaobai-coach, .gemini/skills/xiaobai-coach, .github/skills/xiaobai-coach and .opencode/skills/xiaobai-coach in your project.

What does Xiaobai Coach need to run?

Going by SKILL.md and its folder, Xiaobai Coach needs Python for the scripts in its folder and the command-line tools its instructions call (python). Our summary lists: Python 3.

Does Xiaobai Coach 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 Xiaobai Coach 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 Xiaobai Coach use?

No licence was found for Xiaobai Coach or its repository. Without one, default copyright applies: ask the author before reusing or redistributing it.

How many tokens does Xiaobai Coach use?

About 1.4k tokens (SKILL.md is roughly 5.8k 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 15k tokens, read only when the agent opens those files.

What are the alternatives to Xiaobai Coach?

Skills that share tags, products or a category with Xiaobai Coach: Stock API (zhangxiangliang/stock-api, 2k stars), Tushare Data (zillionare/zillionare, 322 stars), Tradingview MCP (atilaahmettaner/tradingview-mcp, 5k stars) and Digital Oracle (komako-workshop/digital-oracle, 878 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Xiaobai Coach?

infometa (a GitHub user) maintains it in infometa/workbuddyskills, which has 348 GitHub stars. The repository holds 218 skills in this directory. The repository was last updated on October 9, 2026.

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