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Skills/finance-quant/Quant Buddy Skills

Quant Buddy Skills

REVIEW · 66
Community indexed

A股·港股·美股量化分析 Agent Skill。支持行情、估值、财务查询、选股筛选、因子计算、策略回测。Quant agent skill for A-share, HK & US stocks — market data, fundamentals, screening, factor & backtest.

Downloads0
Stars22
Version1.0.0
Quality70/100 · Strong
Trust66/100 · Sandbox only
Audit80/100 · Needs review

Supply asset profile

Coding and developer agents

Code review, repo analysis, testing, CI, GitHub, DevOps, and developer workflow skills.

Browse track

Scenario

Coding agents

I need a coding agent that can understand a repository, edit code, and review pull requests.

Agent fit

Claude Code + OpenAI Agents + Cursor

Codex, Claude Code, Cursor, CLI, or custom agents.

Install

Ready

npx skills add pseudo-longinus/quant-buddy-skills

Maintenance

fresh

1d since push

Risk

Needs review

Low GitHub adoption signal

GitHub quality

22

70/100 quality · 74/100 trust

Coverage tags

CodingCoding agentsfinance-quantquantagent-skill

Review notes

Low GitHub adoption signal · Quality score needs review

Agent adoption scorecard

Trust, audit, and install readiness at a glance

These scores combine public repository metadata, OpenAgentSkill review signals, maintenance freshness, and install readiness. They are a shortlist signal, not a replacement for human review.

Quality

Strong
70

Solid option that is likely worth shortlisting for production workflows.

Trust

Sandbox only
66

Useful candidate with missing or mixed trust signals. Keep it in an isolated workspace until the outcome loop proves task fit.

Audit

Needs review
80

Install readiness, security metadata, maintenance, and adoption risk.

Trust Score v5

Human review before install

Run only in a sandbox and compare close alternatives before using it for real work.

PythonCodexClaude CodeCursorOpenAgentSkill CLI

Stars

22 GitHub stars

Repo activity

22 stars, 2 forks

Maintenance

1d since push

License

MIT

Install

npx skills add pseudo-longinus/quant-buddy-skills

Install safety

standard package or runtime install path

Permission surface

shell or command execution, network or browser access

Agent outcomes

No agent outcome data yet

Docs

Strong README/SKILL.md context

Risk summary

Review before production

  • Low GitHub adoption signal
  • Quality score needs review
  • GitHub adoption: 22 GitHub stars
  • Stars/forks activity: 22 stars, 2 forks; issue activity unavailable in current metadata

Install readiness

Install path available

  • Install path is available
  • Repository evidence is available
  • License is declared
  • No Agent Proven outcome evidence yet

Agent-readable metadata

Machine-readable decision data for this skill.

Use this block or the embedded JSON to decide whether an agent should install this skill, choose an alternative, or ask for human review first.

Open JSON

Suited tasks

  • Finance and quant workflows
  • Claude Code teams
  • builders willing to evaluate younger projects
  • Retrieve market data

Suited agents

PythonCodexClaude CodeCursorOpenAgentSkill CLIOpenAI AgentsCLI

Install decision

Command
npx skills add pseudo-longinus/quant-buddy-skills
Policy
review
Human review
yes

Trust and risk

Trust
66/100
Audit
80/100
Risk level
Needs review

Outcome loop

Endpoint
/api/agent/outcome
Event ID
resolve
Outcomes
5

Install command

npx skills add pseudo-longinus/quant-buddy-skills
Public auditEval reportResolve APIInstall handoff

Do not use when

  • teams that need a vendor-supported SLA
  • production agents without a repository review
  • Low GitHub adoption signal
  • High-risk permission hints: Shell or command execution
  • Quality score needs review

Alternative

National Team Position

39 stars

npx skills add Xiaoyuan-Liu/national-team-position

Agent safety v2

52/100 · Avoid automatic install

Experimentalreview

Sparse or mixed signals. Useful for discovery, but not for autonomous installation.

Test manually in an isolated workspace and compare against safer alternatives.

Resolve via API

high

Shell or command execution

Skill metadata references terminal, CLI, shell, subprocess, or command execution workflows.

medium

Network access

Skill likely fetches remote pages, APIs, repositories, or external services.

medium

Filesystem access

Skill may read or write project files, documents, generated artifacts, or local workspace state.

  • High-risk permission hints: Shell or command execution
  • Low GitHub adoption signal

Install targets

Install this skill in your agent workflow

Copy the registry command or an agent-specific install prompt for Codex, Claude Code, and Cursor.

skill install

OpenAgentSkill CLI

Use the registry command when your workflow supports the OpenAgentSkill installer.

$ npx skills add pseudo-longinus/quant-buddy-skills

Agent resolve plan

Let an agent verify fit before installing.

The Resolve API returns the selected skill, alternatives, safety policy, audit notes, install target, and copy-paste prompt an agent can follow without scraping this page.

Open text plan

Resolve JSON

/api/agent/resolve?task=Use%20Quant%20Buddy%20Skills%20for%20an%20agent%20workflow&agent=codex&max_risk=medium

Resolve text

/api/agent/resolve?task=Use%20Quant%20Buddy%20Skills%20for%20an%20agent%20workflow&agent=codex&max_risk=medium&format=text

Install handoff

/api/skills/pseudo-longinus-quant-buddy-skills/install

Agent should check

  • Task fit and alternatives from Resolve API.
  • Audit score, trust score, and safety policy warnings.
  • Install target compatibility for Codex, Claude Code, Cursor, or CLI.

Copy prompt

Task: Use Quant Buddy Skills in this workspace.
Resolve first: https://www.openagentskill.com/api/agent/resolve?task=Use%20Quant%20Buddy%20Skills%20for%20an%20agent%20workflow&agent=codex&max_risk=medium
Review install handoff: https://www.openagentskill.com/api/skills/pseudo-longinus-quant-buddy-skills/install
Install command: npx skills add pseudo-longinus/quant-buddy-skills
Before running it, summarize audit warnings, required permissions, and the fallback skill if install is risky.

Agent handoff

Give an agent the install path, not another directory page.

Use the public install endpoint to fetch the command, safety checklist, target prompts, and canonical links for this skill.

Open install API

Install handoff

/api/skills/pseudo-longinus-quant-buddy-skills/install

LLM text format

/api/skills/pseudo-longinus-quant-buddy-skills/install?format=text

Find alternatives

/api/skills/search?q=Quant%20Buddy%20Skills&limit=3

Agent prompt

Use Quant Buddy Skills for this task. Review https://www.openagentskill.com/api/skills/pseudo-longinus-quant-buddy-skills/install, then install with: npx skills add pseudo-longinus/quant-buddy-skills

Registry metadata

Agent-readable profile for automatic skill selection.

This page exposes the same decision, trust, audit, use-case, and install signals through the Registry API, so agents can rank this skill without scraping the UI.

Open manifest

Manifest

/api/registry/manifest/pseudo-longinus-quant-buddy-skills

LLM text

/api/registry/manifest/pseudo-longinus-quant-buddy-skills?format=text

Install alias

/api/registry/install/pseudo-longinus-quant-buddy-skills

Recommend

/api/registry/recommend?task=Use%20Quant%20Buddy%20Skills%20in%20an%20agent%20workflow&limit=3

Agent fit

70/100

Finance and quant

Use-case tags

Finance and quantCoding agentsGitHub automation

Platforms

Python, Claude Code, OpenAI Agents, Cursor

Audit report

Needs review · 80/100

Review install readiness, maintenance, trust, quality, and metadata warnings before adding this skill to an agent workflow.

View audit reportView eval report

Agent decision cockpit

Fallback candidate for Finance and quant

Prototype with this skill first; keep a fallback candidate ready.

70
Readiness
Prototype
Stage

Role in stack

Fallback candidate

Primary fit

Finance and quant

Trust label

Prototype first

Install path

Command ready

Use when

  • Finance and quant workflows
  • Claude Code teams
  • builders willing to evaluate younger projects

Evidence

  • recent repository activity
  • install command or GitHub repo available
  • 70/100 quality profile
  • 3 OpenAgentSkill engagement events

Review first

  • Low GitHub adoption signal

Implementation path

  1. 1Install it in a sandbox agent and run one Finance and quant task end to end.
  2. 2Compare output quality, latency, and failure behavior against at least one alternative.
  3. 3Promote it into production only after reviewing repository permissions, license, and maintenance signals.

Trust profile

Sandbox only

Useful candidate with missing or mixed trust signals. Keep it in an isolated workspace until the outcome loop proves task fit.

66
Trust score

GitHub adoption

FIX

22 GitHub stars

Stars/forks activity

FIX

22 stars, 2 forks; issue activity unavailable in current metadata

Recent maintenance

PASS

1d since push

License clarity

PASS

MIT

Good signals

  • AI review approved
  • Install path is available
  • Repository evidence is available
  • Recently maintained repository
  • Install command has no obvious high-risk pattern
  • Outcome loop is ready but needs first real agent run

Review before install

  • Low GitHub adoption signal
  • Quality score needs review
  • GitHub adoption: 22 GitHub stars
  • Stars/forks activity: 22 stars, 2 forks; issue activity unavailable in current metadata
  • No real agent outcome reports yet
  • Human review required before unattended installation

Recommended action

Run only in a sandbox and compare close alternatives before using it for real work.

Quality profile

Strong candidate for agent workflows

Solid option that is likely worth shortlisting for production workflows.

70
GitHub stars
22
Freshness
1d ago
Install ready
Yes
License
MIT
Check before install: Low GitHub adoption signal

Workflow fit

Use this skill in these scenarios

Analyze markets

Finance and quant

I need my agent to analyze markets, financial data, filings, portfolios, and quant strategies.

Build and ship code

Coding agents

I need a coding agent that can understand a repository, edit code, and review pull requests.

Manage repositories

GitHub automation

I need my agent to triage GitHub issues, review pull requests, and summarize repository changes.

Stack fit

Add it to a complete workflow

Inspect, patch, and verify code

Coding review agent

A stack for software agents that inspect repositories, review pull requests, generate tests, and turn findings into shippable patches.

Find, compare, and synthesize

Research report agent

A stack for agents that gather sources, compare claims, summarize long material, and draft useful research briefs.

Operate and verify web apps

Browser QA agent

A stack for agents that navigate products, fill forms, take screenshots, and verify real user flows across web applications.

Alternative shortlist

Compare before you install

Similar skills in this category, ranked with the same readiness and quality signals.

Compare all

National Team Position

Claude Code skill to estimate China's national team (Central Huijin) ETF positioning using ETF share data.

Shortlist
Ready73
Quality74
Stars39

Overview

# quant-buddy-skills

<p align="center"> <img src="assets/banner.jpg" alt="quant-buddy-skills" width="100%" /> </p>

<p align="center"> <a href="README.md">中文</a> · <a href="README.en.md">English</a> · <a href="https://www.quantbuddy.cn">官网</a> · <a href="https://tcn8bvcbyokw.feishu.cn/wiki/E1zswck3oiiJjJkP07QcmSG3nle?from=from_copylink">新手教程</a> </p>

<p align="center"> <a href="https://github.com/pseudo-longinus/quant-buddy-skills/stargazers"><img alt="GitHub stars" src="https://img.shields.io/github/stars/pseudo-longinus/quant-buddy-skills?style=social"></a> <a href="https://github.com/pseudo-longinus/quant-buddy-skills/blob/main/LICENSE"><img alt="License" src="https://img.shields.io/badge/license-MIT-green"></a> <img alt="Python" src="https://img.shields.io/badge/Python-3.8%2B-blue"> <img alt="Market" src="https://img.shields.io/badge/A%E8%82%A1-quant-orange"> </p>

## 🔥 3 秒快速安装

如果你熟悉 Agent 工具(Claude Code、Cursor、OpenClaw 等),可以直接对 AI Agent 说:

> 帮我安装这个 skill:

```bash npx skills add pseudo-longinus/quant-buddy-skills -g -a claude-code -s quant-buddy-skill -y ```

如果你不懂如何使用 Agent 和 skill,可以按照[小白图文教程](https://tcn8bvcbyokw.feishu.cn/wiki/E1zswck3oiiJjJkP07QcmSG3nle?from=from_copylink)一步步展开。

---

> **让 AI Agent(智能代理)直接在全 A 股上跑公式、选股、因子和回测。** > A-share quant execution layer for Claude Code、Cursor、Codex、GitHub Copilot、Windsurf 等 AI Agent。

quant-buddy-skills 不是普通股票数据 API(应用程序接口)。它把**行情、估值、财务、公式引擎、全市场筛选、因子计算、策略回测、净值对比和图表渲染**封装成 AI Agent(智能代理)可直接调用的投研工作流。

数据覆盖包括 A 股财务、港美股财务、龙虎榜标签、GICS 行业等常用投研数据。

传统数据 API 只负责"把数据拉出来";quant-buddy-skills 负责让 AI Agent 把自然语言投研想法转成**可执行公式、平台侧计算、结构化结果和可复用任务**。

官网:https://www.quantbuddy.cn

> 本项目用于金融数据分析、量化研究、策略验证和教育用途,不构成投资建议、交易建议、收益承诺或自动交易服务。

## 30 秒示例

你可以直接对 AI Agent(智能代理)说:

```text 筛选今天 14:30 全 A 股中,近 60 个交易日创新高、 成交额高于过去 20 日均值 2 倍、且涨幅排名靠前的公司。 ```

AI Agent(智能代理)会生成公式链,由 quant-buddy(量化投研平台)在平台侧完成全市场计算,然后只返回 TopN(前 N 名)名单、指标、排序和图表。

不用把几千只股票的大表塞进 LLM(大语言模型)上下文,也不用手写数据清洗、字段 join(连接)和回测代码。

## 为什么值得安装

- **不是只查数据**:

Platform Compatibility

pythonFULL

Technical Details

Version
1.0.0
License
MIT
Last Updated
7/20/2026
Published
7/20/2026

Frameworks & Tools

Python

Decision snapshot

Fallback candidate

70
Ready
Prototype
Stage

recent repository activity

Audit snapshot

Install review

Install and adoption review

80
Needs review
Security
82/100
Maintenance
100/100
Install
92/100
Open full auditOpen eval report

Agent-proven evidence

Agent Proven evidence

Outcome reports after resolve, review, install, and one narrow run.

0
Proven
Needs first agent runAuto-install: review firstLast: Unknown
Success rate
—
Recent failure
—
Outcomes
0
Output quality
—
Failed
0
Not relevant
0
Installs
0
Risk blocked
0
Setup needed
0
Production
0

No agent outcome data yet. The first agent run can report success, setup needs, risk blocks, failure, or not-relevant through /api/agent/outcome.

Agent-Proven rankingOutcome contract

Install

Add to agent workflow

Free and open source. Review the audit before production use.

Compare AlternativesAuto-resolve PlanView on GitHubDocumentation

Growth loop

Share kit

X

Scenario-led draft for Quant Buddy Skills, ready for a manual X post.

Curator note
Finance agents don't need louder takes. They need sources, data, and a repeatable research path.

Quant Buddy Skills helps turn market noise into source-backed analysis an agent...

22 stars

https://www.openagentskill.com/skills/pseudo-longinus-quant-buddy-skills?ref=x
#AIAgents
Open X draft
Optional reply with install command
Listing + install path for Quant Buddy Skills:
https://www.openagentskill.com/skills/pseudo-longinus-quant-buddy-skills?ref=x

Install: npx skills add pseudo-longinus/quant-buddy-skills
Open reply draft

Listing source

Community indexed

Claimable

This listing was indexed from public sources and is not marked official until a maintainer claim is approved.

Creator
pseudo-longinus
Source
pseudo-longinus/quant-buddy-skills
Indexed by
OpenAgentSkill community index

Attribution links to the public repository or creator profile. Creators can claim the listing to update ownership signals.

Claim this skill

Owner claim

Claim this skill listing

This community indexed listing is attributed to pseudo-longinus but is not marked official yet. Claim it to add a verified owner signal and make future launch, install, and audit updates easier to trust.

Creator backlink kit

Add the evidence badges to your README

Show the canonical listing, current trust and audit signals, and real Agent Proven evidence where developers evaluate the repository.

[![Listed on OpenAgentSkill](https://www.openagentskill.com/api/badge/pseudo-longinus-quant-buddy-skills?metric=listed&label=Listed)](https://www.openagentskill.com/skills/pseudo-longinus-quant-buddy-skills)
[![OpenAgentSkill Trust](https://www.openagentskill.com/api/badge/pseudo-longinus-quant-buddy-skills?metric=trust&label=Trust)](https://www.openagentskill.com/skills/pseudo-longinus-quant-buddy-skills)
[![OpenAgentSkill Audit](https://www.openagentskill.com/api/badge/pseudo-longinus-quant-buddy-skills?metric=audit&label=Audit)](https://www.openagentskill.com/skills/pseudo-longinus-quant-buddy-skills/audit)
[![Agent Proven](https://www.openagentskill.com/api/badge/pseudo-longinus-quant-buddy-skills?metric=proven&label=Agent%20Proven)](https://www.openagentskill.com/skills/pseudo-longinus-quant-buddy-skills)
Preview badge Open audit Creator Kit

Author

P

pseudo-longinus

@pseudo-longinus

Tags

quantagent-skillstocksbacktestingchina-stocks

Platform Fit

Claude CodeOpenAI AgentsCursor

Health Signals

GitHub stars
22
Quality score
43/100
Last GitHub push
Jul 20, 2026
Framework hints
1
OpenAgentSkill views
3
Install copies
0
Outbound clicks
0

Community Signal

Share whether this skill looks useful for your agent workflow. Aggregated feedback improves rankings over time.

Trust & Safety

Sandbox only

66
  • GitHub adoption22 GitHub starsFIX
  • Stars/forks activity22 stars, 2 forks; issue activity unavailable in current metadataFIX
  • Recent maintenance1d since pushPASS
  • License clarityMITPASS
  • README/SKILL.md completenessMetadata includes enough usage and workflow contextPASS
  • Dependency/runtime riskcommand execution surface, network or browser surfaceINFO

Related Skills

National Team Position

Claude Code skill to estimate China's national team (Central Huijin) ETF positioning using ETF share data.

39 stars · 0 installs
OpenAgentSkill

The skill layer for AI agents: discover, compare, audit, and install reusable capabilities across Codex, Claude Code, Cursor, and agent runtimes.

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