Quantall MCP

What it does

When your agent uses it

• Tasks that involve MCP servers

Example prompts

• “——用代码算出客观结果，而非搬运网络观点。 触发：用户明确提到”
• “QuantAll”
• “/quantall-mcp”

Requirements

• Python 3

What it can do on your machine

Read from SKILL.md and the folder at commit 755bc35. 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), which the agent can run.

  Shell commands in SKILL.md call:

  • python
  • pip

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

• Network

  Hosts in commands or code, which the agent is likely to contact:

  • pypi.tuna.tsinghua.edu.cn

  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

Quantall MCP loads about 1.8k tokens when it runs, and up to ~9.1k if it reads all its reference files. Until then it costs about 112 tokens; SKILL.md has 429 words of instructions outside code blocks.

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

~112

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

~1.8k

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

~9.1k

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 aiskillstore/marketplace at commit 755bc35, republished under its MIT licence (© aiskillstore). 429 words, ~1,834 tokens.

name

quantall-mcp

description

QuantAll（全A解析）MCP —— 股市全市场向量化计算引擎，为 AI 提供本地 Python 计算环境。 AI 编写向量化代码片段，数秒内完成 5000+ 股票的因子计算、策略回测、IC 分析和 GPU 可视化。 让 AI 从"信息查询者"升级为"数据计算者"——用代码算出客观结果，而非搬运网络观点。 触发：用户明确提到"回测""因子分析""IC分析""选股策略""QuantAll""全A解析"等量化关键词时。 不主动在普通股市聊天中触发，仅在用户有明确量化分析需求时使用。 能力声明：本技能需在用户电脑上创建 Python 虚拟环境（300MB+）、安装 quantall 库、 修改 MCP 配置、启动本地 HTTP 服务（localhost:8686）、创建配置文件和启动脚本。 所有涉及用户电脑的操作，AI 必须事先告知用户并获得同意。 UpdateStock 为可选辅助 MCP（数据库管理，需 tushare API），非 QuantAll 必需。

agent_created

true

license

MIT

□ 1. 创建 venv：
   <Python路径> -m venv <skill-dir>/scripts/.venv
   推荐：C:/Users/<用户>/.workbuddy/binaries/python/versions/3.13.12/python.exe

□ 2. pip 安装（务必用清华源，否则 PySide6 等大包下载超时）：
   <skill-dir>/scripts/.venv/Scripts/python.exe -m pip install quantall -i https://pypi.tuna.tsinghua.edu.cn/simple

□ 3. 验证安装：
   <skill-dir>/scripts/.venv/Scripts/python.exe -c "from QuantAll import Start_main; print('OK')"

□ 4. 配置 MCP（修改 ~/.workbuddy/mcp.json）：
   见下方 MCP 配置

□ 5. 启动服务：
   <skill-dir>/scripts/.venv/Scripts/python.exe <skill-dir>/scripts/Start_QuantAll.py
   检查 8686 端口是否监听

□ 6. ⚠️ 提醒用户重连 MCP 连接器（或重启 WorkBuddy）

{
  "mcpServers": {
    "全A解析": { "url": "http://127.0.0.1:8686/mcp", "disabled": false },
    "UpdateStock": {
      "command": "<skill-dir>/scripts/.venv/Scripts/python.exe",
      "args": ["<skill-dir>/scripts/UpdateStock_skill.py"],
      "disabled": false
    }
  }
}

□ 1. 升级库：
   <skill-dir>/scripts/.venv/Scripts/python.exe -m pip install --upgrade quantall -i https://pypi.tuna.tsinghua.edu.cn/simple

□ 2. 验证版本：
   <skill-dir>/scripts/.venv/Scripts/python.exe -c "import QuantAll; print(QuantAll.__version__)"
   确认 >= requirements.txt 要求的版本

□ 3. 重启 QuantAll 服务（先关旧进程再启动）

□ 4. ⚠️ 提醒用户重连 MCP

© aiskillstore, MIT. 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 7 other files (scripts, references) in skills/mifochen/quantall-mcp of aiskillstore/marketplace.

• SKILL.md
• references/quantall_playbook.md
• requirements.txt
• scripts/Start_QuantAll.py
• scripts/UpdateStock_skill.py
• scripts/data/ai_prompts.toml
• scripts/data/db_translate.json
• skill-report.json

Open the folder on GitHubat commit 755bc35