QuantMind
QuantMind 开源版 是一款面向个人量化研究者的本地化金融量化交易平台，基于微软 Qlib 量化框架构建，提供从模型训练，回测，推理，实盘交易的完整研究闭环。 平台深度集成 LightGBM 等主流机器学习模型，支持 146 维量化因子训练与推理，用户可快速构建 Alpha 策略并在历史数据上验证效果。核心功能涵盖智能策略生成、模型训练、回测中心、QuantBot 助手及多模型管理，全部功能无使用限制。 开源版采用本地单机部署，通过 docker compose 一键启动，无需依赖云服务，数据与模型完全本地化，保障研究隐私。适合个人开发者、学术研究者及小团队进行量化策略原型验证与二次开发，是进入金融量化领域的理想起点。
Supply asset profile
Finance and quant workflows
Market data, SEC filings, portfolio analysis, quant research, backtesting, and risk workflows.
Scenario
Finance and quant
I need my agent to analyze markets, financial data, filings, portfolios, and quant strategies.
Agent fit
Claude Code + CLI + Codex
Codex, Claude Code, Cursor, CLI, or custom agents.
Install
Ready
npx skills add qusong0627/QuantMind
Maintenance
fresh
3d since push
Risk
Safe to try
Quality score needs review
GitHub quality
358
83/100 quality · 84/100 trust
Coverage tags
Review notes
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
StrongSolid option that is likely worth shortlisting for production workflows.
Trust
Strong shortlistGood trust signals with a few areas worth checking before rollout.
Audit
Safe to tryInstall readiness, security metadata, maintenance, and adoption risk.
Trust Score v3
Human review before install
Test in a sandbox workflow and compare its install path with close alternatives.
Stars
358 GitHub stars
Repo activity
358 stars, 114 forks
Maintenance
3d since push
License
AGPL-3.0
Install
npx skills add qusong0627/QuantMind
Install safety
standard package or runtime install path
Permission surface
filesystem or document access
Docs
Strong README/SKILL.md context
Risk summary
Low metadata risk
- Quality score needs review
Install readiness
Install path available
- Install path is available
- Repository evidence is available
- License is declared
- 3d since push
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.
Suited tasks
- Finance and quant workflows
- Claude Code teams
- builders willing to evaluate younger projects
- Retrieve market data
- Compare financial signals
Suited agents
Trust and risk
- Trust score
- 84/100
- Risk level
- Safe to try
- Auto install
- review
Do not use when
- teams that need a vendor-supported SLA
- high-compliance environments without internal security review
- No major risk signals from current metadata
- Quality score needs review
Agent safety v2
71/100 · Review before install
Good audit and safety signals with no high-risk permission hints in public metadata.
Review the audit page, then allow agent install in a sandboxed workflow.
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.
- Quality score needs review
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.
OpenAgentSkill CLI
Use the registry command when your workflow supports the OpenAgentSkill installer.
$ npx skills add qusong0627/QuantMindAgent 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.
Resolve JSON
/api/agent/resolve?task=Use%20QuantMind%20for%20an%20agent%20workflow&agent=codex&max_risk=medium
Resolve text
/api/agent/resolve?task=Use%20QuantMind%20for%20an%20agent%20workflow&agent=codex&max_risk=medium&format=text
Install handoff
/api/skills/qusong0627-quantmind/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 QuantMind in this workspace.
Resolve first: https://www.openagentskill.com/api/agent/resolve?task=Use%20QuantMind%20for%20an%20agent%20workflow&agent=codex&max_risk=medium
Review install handoff: https://www.openagentskill.com/api/skills/qusong0627-quantmind/install
Install command: npx skills add qusong0627/QuantMind
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.
Install handoff
/api/skills/qusong0627-quantmind/install
LLM text format
/api/skills/qusong0627-quantmind/install?format=text
Find alternatives
/api/skills/search?q=QuantMind&limit=3
Agent prompt
Use QuantMind for this task. Review https://www.openagentskill.com/api/skills/qusong0627-quantmind/install, then install with: npx skills add qusong0627/QuantMindRegistry 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.
Manifest
/api/registry/manifest/qusong0627-quantmind
LLM text
/api/registry/manifest/qusong0627-quantmind?format=text
Install alias
/api/registry/install/qusong0627-quantmind
Recommend
/api/registry/recommend?task=Use%20QuantMind%20in%20an%20agent%20workflow&limit=3
Agent fit
Finance and quant
Use-case tags
Platforms
Python, Quant, Claude Code
Audit report
Safe to try · 87/100
Review install readiness, maintenance, trust, quality, and metadata warnings before adding this skill to an agent workflow.
Agent decision cockpit
Companion skill for Finance and quant
Shortlist this skill and compare it with close alternatives before production adoption.
Role in stack
Companion skill
Primary fit
Finance and quant
Trust label
Strong shortlist
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
- 83/100 quality profile
- 2 OpenAgentSkill engagement events
Review first
- No major risk signals from current metadata
Implementation path
- 1Install it in a sandbox agent and run one Finance and quant task end to end.
- 2Compare output quality, latency, and failure behavior against at least one alternative.
- 3Promote it into production only after reviewing repository permissions, license, and maintenance signals.
Trust profile
Strong shortlist
Good trust signals with a few areas worth checking before rollout.
GitHub adoption
INFO358 GitHub stars
Stars/forks activity
INFO358 stars, 114 forks; issue activity unavailable in current metadata
Recent maintenance
PASS3d since push
License clarity
PASSAGPL-3.0
Good signals
- AI review approved
- Install path is available
- Repository evidence is available
- Recently maintained repository
- Install command has no obvious high-risk pattern
Review before install
- Quality score needs review
Recommended action
Test in a sandbox workflow and compare its install path with close alternatives.
Quality profile
Strong candidate for agent workflows
Solid option that is likely worth shortlisting for production workflows.
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.
Search private knowledge
RAG and knowledge
I need my agent to build a RAG workflow over documents and retrieve reliable context.
Stack fit
Add it to a complete workflow
Turn skills into distribution
Content growth agent
A stack for turning newly indexed skills into SEO briefs, social drafts, comparison pages, and reusable publishing workflows.
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.
Ingest, retrieve, and cite
RAG knowledge base
A stack for document-heavy agents that ingest files, create searchable knowledge, retrieve relevant context, and answer with grounded sources.
Alternative shortlist
Compare before you install
Similar skills in this category, ranked with the same readiness and quality signals.
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Overview
QuantMind 开源版 是一款面向个人量化研究者的本地化金融量化交易平台，基于微软 Qlib 量化框架构建，提供从模型训练，回测，推理，实盘交易的完整研究闭环。 平台深度集成 LightGBM 等主流机器学习模型，支持 146 维量化因子训练与推理，用户可快速构建 Alpha 策略并在历史数据上验证效果。核心功能涵盖智能策略生成、模型训练、回测中心、QuantBot 助手及多模型管理，全部功能无使用限制。 开源版采用本地单机部署，通过 docker compose 一键启动，无需依赖云服务，数据与模型完全本地化，保障研究隐私。适合个人开发者、学术研究者及小团队进行量化策略原型验证与二次开发，是进入金融量化领域的理想起点。
Imported by the skill-only GitHub discovery pipeline because it matches agent skill, automation, domain workflow, RAG, document-processing, data, finance, security, or developer-tool signals. Protocol-server projects are excluded from automated imports.
Platform Compatibility
Technical Details
- Version
- 1.0.0
- License
- AGPL-3.0
- Last Updated
- 6/16/2026
- Published
- 6/16/2026
Frameworks & Tools
Decision snapshot
Companion skill
recent repository activity
Audit snapshot
Install review
Install and adoption review
- Security
- 86/100
- Maintenance
- 100/100
- Install
- 92/100
Install
Add to agent workflow
Free and open source. Review the audit before production use.
Growth loop
Share kit
Scenario-led draft for QuantMind, ready for a manual X post.
OpenAgentSkill Update Today: QuantMind Use it when you want an agent to turn market noise into source-backed research, ranked candidates, and risk checks. 358 stars - finance Link: https://www.openagentskill.com/skills/qusong0627-quantmind?ref=x #AIAgents #OpenAgentSkill
Optional reply with install command
Link for QuantMind: https://www.openagentskill.com/skills/qusong0627-quantmind?ref=x Install: npx skills add qusong0627/QuantMind
Listing source
Community indexed
This listing was indexed from public sources and is not marked official until a maintainer claim is approved.
- Creator
- qusong0627
- Source
- qusong0627/QuantMind
- 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 skillOwner claim
Claim this skill listing
This community indexed listing is attributed to qusong0627 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.
README badge
Add this badge to your GitHub README to show the listing, trust score, and install handoff.
[](https://www.openagentskill.com/skills/qusong0627-quantmind)Author
qusong0627
@qusong0627
Platform Fit
Health Signals
- GitHub stars
- 358
- Quality score
- 52/100
- Last GitHub push
- Jun 15, 2026
- Framework hints
- 2
- OpenAgentSkill views
- 2
- 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
Strong shortlist
- GitHub adoption358 GitHub starsINFO
- Stars/forks activity358 stars, 114 forks; issue activity unavailable in current metadataINFO
- Recent maintenance3d since pushPASS
- License clarityAGPL-3.0PASS
- README/SKILL.md completenessMetadata includes enough usage and workflow contextPASS
- Dependency/runtime riskexternal package install surfaceINFO
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