Agent skill

Akquant

by lzwme in lzwme/finance-quant-skills

生成 akquant 框架的可执行量化策略代码,涵盖数据接口、事件驱动、风控与优化。当用户需要开发量化策略、配置回测环境、设置风控规则、进行参数优化、实现横截面轮动策略,或提及 akquant 时使用

No licenceAuto-check: notesData & Analytics

Install Akquant

skills CLI
$ npx skills add lzwme/finance-quant-skills --skill akquant -a claude-code

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

GitHub CLI
$ gh skill install lzwme/finance-quant-skills akquant --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/lzwme/finance-quant-skills.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/akquant .claude/skills/akquant && 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
akquant
GitHub stars
440
Token cost
~2.2k tokens
SKILL.md length
167 words
Files
7 (incl. references, assets)
Skills in repo
13
Repo updated
First seen
Licence
None found

At a glance

生成 akquant 框架的可执行量化策略代码,涵盖数据接口、事件驱动、风控与优化。当用户需要开发量化策略、配置回测环境、设置风控规则、进行参数优化、实现横截面轮动策略,或提及 akquant 时使用

  • Works in 5 steps: 安装 uv:若已安装则跳过 → 创建项目并初始化环境 → 运行策略脚本 → …
  • Data & Analytics work in your project
  • SKILL.md covers 任务目标, 核心能力清单, 触发条件 and 策略开发工作流, plus 5 more sections
  • Runs Python scripts from its folder; calls uv, brew and curl; reaches astral.sh

What it does

Akquant is an agent skill from lzwme/finance-quant-skills. 生成 akquant 框架的可执行量化策略代码,涵盖数据接口、事件驱动、风控与优化。当用户需要开发量化策略、配置回测环境、设置风控规则、进行参数优化、实现横截面轮动策略,或提及 akquant 时使用

Its SKILL.md is about 2.2k tokens, which your agent loads only when the skill is triggered. The skill folder holds 8 other files, including reference files and assets (for example `assets/strategy-template.py`, `references/api-reference.md` and `references/cross-section-guide.md`).

It sits in Data & Analytics. The repository describes itself as: 一个面向金融量化交易领域的 Agent Skills 技能维护仓库,主要聚焦A股量化交易。

When your agent uses it

  • Data & Analytics work in your project

Example prompts

  • “/akquant”

Requirements

  • Python 3

Workflow steps

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

  1. 安装 uv:若已安装则跳过
  2. 创建项目并初始化环境
  3. 运行策略脚本
  4. 依赖版本锁定
  5. 项目结构建议

What it can do on your machine

Read from SKILL.md and the folder at commit d973f35. 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 script files (Python), which the agent can run.

    Shell commands in SKILL.md call:

    • uv
    • brew
    • curl
    • sh
    • python

    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:

    • astral.sh

    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

Akquant loads about 2.2k tokens when it runs, and up to ~18k if it reads all its reference files. Until then it costs about 27 tokens; SKILL.md has 167 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
~2.2k
With references · SKILL.md plus every file in references/, read only if the agent opens them
~18k

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: notes

The automated check noted patterns worth knowing about, such as sudo or a known installer.

  • NotePipes a well-known installer script into a shellSKILL.md:199
    curl -LsSf https://astral.sh/uv/install.sh | sh
  • NotePipes a well-known installer script into a shellSKILL.md:202
    powershell -ExecutionPolicy ByPass -c "irm https://astral.sh/uv/install.ps1 | iex"

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); files beside SKILL.md are not scanned.

SKILL.md

Without a licence we can't republish the file, so here is its outline and opening line. It has 167 words (~2,240 tokens).

“本 Skill 用于辅助 AI 编程智能体生成符合 akquant 框架规范的可执行量化策略代码。能力包括策略设计、回测配置、订单管理、风控规则、参数优化与横截面策略实现。”

— opening of SKILL.md by lzwme
name
akquant

Read the full SKILL.md on GitHub

Files

SKILL.md and 6 other files (references, assets) in skills/akquant of lzwme/finance-quant-skills.

  • SKILL.md
  • assets/strategy-template.py
  • references/api-reference.md
  • references/cross-section-guide.md
  • references/optimization.md
  • references/risk-management.md
  • references/strategy-patterns.md

Open the folder on GitHubat commit d973f35

Compare with similar skills

Akquant 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.

Akquant compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Akquant this skilllzwme/finance-quant-skills440—~2.2kAutomated safety check: NotesNone
MatplotlibzLanqing/codex-claude-academic-skills4.7k17 repos~2.9kAutomated safety check: PassMIT
Exploratory Data Analysisspacering-net/codeg3.9k14 repos~3.6kAutomated safety check: PassMIT
Scikit LearnzLanqing/codex-claude-academic-skills4.7k16 repos~3.9kAutomated safety check: PassBSD-3-Clause
Chart Visualizationbytedance/deer-flow84k2 repos~840Automated safety check: PassMIT
TimesFM Forecastinggoogle-research/timesfm34k—~4.7kAutomated safety check: PassApache-2.0

Similar skills

  • Matplotlib

    zLanqing/codex-claude-academic-skills

    Low-level plotting library for full customization. An agent skill from zLanqing/codex-claude-academic-skills.

    4.7k GitHub starsUsed in 17 repos~2.9k tokens
    Data & AnalyticsAuto-check passed
  • Exploratory Data Analysis

    spacering-net/codeg

    Perform comprehensive exploratory data analysis on scientific data files across 200+ file formats.

    3.9k GitHub starsUsed in 14 repos~3.6k tokens
    Data & AnalyticsAuto-check passed
  • Scikit Learn

    zLanqing/codex-claude-academic-skills

    Machine learning in Python with scikit-learn. An agent skill from zLanqing/codex-claude-academic-skills.

    4.7k GitHub starsUsed in 16 repos~3.9k tokens
    Data & AnalyticsAuto-check passed
  • Chart Visualization

    bytedance/deer-flow

    Picks a suitable chart type from 26 options for your data, maps the data to that chart's parameters and generates a chart image through a JavaScript script.

    84k GitHub starsUsed in 2 repos~840 tokens
    Data & AnalyticsAuto-check passed
  • TimesFM Forecasting

    google-research/timesfm

    Forecasts any univariate time series zero-shot with Google's TimesFM model, returning point forecasts and calibrated prediction intervals without training.

    34k GitHub stars~4.7k tokensUpdated 9 days ago
    Data & AnalyticsAuto-check passed
  • Sandbox Bench

    vercel/next.js

    Official

    Benchmark React or Next.js changes on Vercel Sandbox VMs with paired A/B statistics: react PR/commit vs base, or Next.js PR/commit vs base, measured end-to-end through the bench/render-pipeline app…

    143k GitHub stars~4.1k tokensUpdated today
    Data & AnalyticsAuto-check passed

More from lzwme/finance-quant-skills

All 13 skills in this repo
  • Akshare

    lzwme/finance-quant-skills

    AKShare 开源金融数据接口库,提供股票、期货、期权、基金、外汇、债券、指数、加密货币等全品类金融数据;当用户需要获取各类金融市场数据时使用

    440 GitHub stars~1.1k tokensUpdated 16 days ago
    Auto-check passed
  • Baostock

    lzwme/finance-quant-skills

    BaoStock 免费开源 A 股数据平台,无需注册、无需 API Key,支持股票行情、K线、财务数据、行业分类、指数成分股查询。当用户提及 baostock、需要获取A股历史行情、财务报表、交易日历,或需要免费、免注册的A股数据时使用。与 tushare(数据更全但需注册)和 jqdatasdk(聚宽数据)不同,baostock 完全免费无限制,适合快速入门和低成本数据需求。

    440 GitHub stars~1k tokensUpdated 16 days ago
    Auto-check passed
  • Equity Researcher

    lzwme/finance-quant-skills

    机构级投研报告生成技能。覆盖中国A股、港股、美股上市公司。输出模式:1)投资速览:3-5页,含公司概览、核心财务指标、估值倍数、投资逻辑与风险因素;2)深度研报:≥25页,含行业分析、产业链图谱、三表模型、DCF估值、情景分析与敏感性测试。触发条件:1)直接请求:分析/看看/研究/调研/介绍一下 + 公司名或股票;2)投资询问:你怎么看/能不能买/值得投吗/帮我看看/扒一扒 +…

    440 GitHub stars~4.9k tokensUpdated 16 days ago
    Auto-check passed
  • Jqdatasdk

    lzwme/finance-quant-skills

    聚宽(JoinQuant)本地数据 SDK,提供 A 股行情、历史K线、财务数据、指标数据等,与聚宽官网数据同源。当用户提及 jqdatasdk、聚宽数据、需要获取A股数据,或已注册聚宽账号时使用。与 baostock(免费)和 tushare(数据最全)不同,jqdatasdk 需注册聚宽账号获取 Token,适合已在使用聚宽平台的用户。本地数据获取请用本技能,聚宽官网策略开发请用…

    440 GitHub stars~927 tokensUpdated 16 days ago
    Auto-check passed
  • Miniqmt

    lzwme/finance-quant-skills

    MiniQMT 迅投量化交易接口,基于 XtQuant Python 库(xtdata 行情 / xttrader 交易),供外部 Python 程序连接 MiniQMT 客户端,支持 A 股/期货/期权的行情获取(K线、分笔、财务数据等)和交易下单(报单、撤单、查询资产/委托/持仓)。当用户提及 miniqmt、xtquant、获取实时行情、量化交易下单、回测数据获取,或需要用外部…

    440 GitHub stars~1.7k tokensUpdated 16 days ago
    Auto-check passed
  • Tdxquant

    lzwme/finance-quant-skills

    通达信量化数据获取技能。当用户提及 tdxquant、通达信、TdxQuant、tqcenter,并且需要获取A股数据(行情快照、K线、财务、板块、可转债、新股、交易数据等)、查询交易日历、执行通达信公式、订阅行情、交易下单时使用

    440 GitHub stars~1.6k tokensUpdated 16 days ago
    Auto-check passed

Questions about Akquant

What does Akquant do?

生成 akquant 框架的可执行量化策略代码,涵盖数据接口、事件驱动、风控与优化。当用户需要开发量化策略、配置回测环境、设置风控规则、进行参数优化、实现横截面轮动策略,或提及 akquant 时使用. Akquant is an agent skill from lzwme/finance-quant-skills.

When should I use Akquant?

Akquant fits situations like: data & Analytics work in your project.

How do I install Akquant in Claude Code?

Run `npx skills add lzwme/finance-quant-skills --skill akquant -a claude-code`. Or copy the skill folder (skills/akquant in lzwme/finance-quant-skills) into .claude/skills/akquant in your project. Claude Code loads it when a task matches its description.

How do I install Akquant in Codex?

Run `npx skills add lzwme/finance-quant-skills --skill akquant -a codex`. Or copy the skill folder (skills/akquant in lzwme/finance-quant-skills) into .agents/skills/akquant in your project. Codex loads it when a task matches its description.

Can I use Akquant 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 lzwme/finance-quant-skills --skill akquant -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/akquant, .gemini/skills/akquant, .github/skills/akquant and .opencode/skills/akquant in your project.

What does Akquant need to run?

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

Does Akquant access the network?

SKILL.md names 1 domain. In commands or code: astral.sh; the agent is likely to contact it when it follows the instructions. This is read from the text; nothing was executed.

Is Akquant safe to install?

Our automated static check of SKILL.md found notes only (pipes a well-known installer script into a shell), nothing it rates as a warning. It is not a guarantee. Review the folder before installing.

What licence does Akquant use?

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

How many tokens does Akquant use?

About 2.2k tokens (SKILL.md is roughly 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 16k tokens, read only when the agent opens those files.

What are the alternatives to Akquant?

Skills that share tags, products or a category with Akquant: Matplotlib (zLanqing/codex-claude-academic-skills, 4.7k stars), Exploratory Data Analysis (spacering-net/codeg, 3.9k stars), Scikit Learn (zLanqing/codex-claude-academic-skills, 4.7k stars) and Chart Visualization (bytedance/deer-flow, 84k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Akquant?

lzwme (a GitHub organization) maintains it in lzwme/finance-quant-skills, which has 440 GitHub stars. The repository holds 13 skills in this directory. The repository was last updated on September 23, 2026.

Source: lzwme/finance-quant-skills on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.