Star0

AgentQuant

REVIEW · 70
Community indexed

Autonomous quantitative trading research platform that transforms stock lists into fully backtested strategies using AI agents, real market data, and mathematical formulations, all without requiring any coding.

Downloads0
Stars132
Version1.0.0
Quality73/100 · Strong
Trust70/100 · Sandbox only
Audit82/100 · Needs review

Supply asset profile

Finance and quant workflows

Market data, SEC filings, portfolio analysis, quant research, backtesting, and risk workflows.

Browse track

Scenario

Finance and quant

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

Agent fit

Claude Code + LangChain + CLI

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

Install

Ready

npx skills add OnePunchMonk/AgentQuant

Maintenance

fresh

14d since push

Risk

Needs review

License is unclear

GitHub quality

132

73/100 quality · 78/100 trust

Coverage tags

FinanceFinance and quantquantresearchagentic-ai

Review notes

License is unclear · 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
73

Solid option that is likely worth shortlisting for production workflows.

Trust

Sandbox only
70

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

Audit

Needs review
82

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.

PythonFinanceCodexClaude CodeCursor

Stars

132 GitHub stars

Repo activity

132 stars, 22 forks

Maintenance

14d since push

License

Unknown

Install

npx skills add OnePunchMonk/AgentQuant

Install safety

standard package or runtime install path

Permission surface

filesystem or document access

Agent outcomes

No agent outcome data yet

Docs

Strong README/SKILL.md context

Risk summary

Review before production

  • License is unclear
  • Quality score needs review
  • Stars/forks activity: 132 stars, 22 forks; issue activity unavailable in current metadata
  • License clarity: Unknown

Install readiness

Install path available

  • Install path is available
  • Repository evidence is available
  • License is unclear
  • 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

PythonFinanceCodexClaude CodeCursorOpenAgentSkill CLILangChainCLI

Install decision

Command
npx skills add OnePunchMonk/AgentQuant
Policy
review
Human review
yes

Trust and risk

Trust
70/100
Audit
82/100
Risk level
Needs review

Outcome loop

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

Install command

npx skills add OnePunchMonk/AgentQuant
Public auditEval reportResolve APIInstall handoff

Do not use when

  • teams that need a vendor-supported SLA
  • high-compliance environments without internal security review
  • No OpenAgentSkill engagement data yet
  • License is unclear
  • Quality score needs review

Alternative

TradingAgents

88.4K stars

npx skills add TauricResearch/TradingAgents

Alternative

OpenBB

69.5K stars

npx skills add OpenBB-finance/OpenBB

Alternative

Daily Stock Analysis

51.9K stars

npx skills add ZhuLinsen/daily_stock_analysis

Alternative

Freqtrade

51.6K stars

npx skills add freqtrade/freqtrade

Agent safety v2

66/100 · Review before install

Reviewed with permission notesreview

Usable candidate, but the agent should surface permission and audit notes before installation.

Require human approval before installing into a real workspace.

Resolve via API

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.

  • License is unclear

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 OnePunchMonk/AgentQuant

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%20AgentQuant%20for%20an%20agent%20workflow&agent=codex&max_risk=medium

Resolve text

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

Install handoff

/api/skills/onepunchmonk-agentquant/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 AgentQuant in this workspace.
Resolve first: https://www.openagentskill.com/api/agent/resolve?task=Use%20AgentQuant%20for%20an%20agent%20workflow&agent=codex&max_risk=medium
Review install handoff: https://www.openagentskill.com/api/skills/onepunchmonk-agentquant/install
Install command: npx skills add OnePunchMonk/AgentQuant
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/onepunchmonk-agentquant/install

LLM text format

/api/skills/onepunchmonk-agentquant/install?format=text

Find alternatives

/api/skills/search?q=AgentQuant&limit=3

Agent prompt

Use AgentQuant for this task. Review https://www.openagentskill.com/api/skills/onepunchmonk-agentquant/install, then install with: npx skills add OnePunchMonk/AgentQuant

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/onepunchmonk-agentquant

LLM text

/api/registry/manifest/onepunchmonk-agentquant?format=text

Install alias

/api/registry/install/onepunchmonk-agentquant

Recommend

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

Agent fit

72/100

Finance and quant

Use-case tags

Finance and quantBrowser automationCoding agents

Platforms

Python, Finance, Claude Code, LangChain

Audit report

Needs review · 82/100

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

Companion skill for Finance and quant

Shortlist this skill and compare it with close alternatives before production adoption.

72
Readiness
Shortlist
Stage

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
  • 73/100 quality profile

Review first

  • No OpenAgentSkill engagement data yet

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.

70
Trust score

GitHub adoption

INFO

132 GitHub stars

Stars/forks activity

CHECK

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

Recent maintenance

PASS

14d since push

License clarity

CHECK

Unknown

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

  • License is unclear
  • Quality score needs review
  • Stars/forks activity: 132 stars, 22 forks; issue activity unavailable in current metadata
  • License clarity: Unknown
  • 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.

73
GitHub stars
132
Freshness
14d ago
Install ready
Yes
License
Unknown

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.

Operate web apps

Browser automation

I need my agent to control a browser, fill forms, and verify web app workflows.

Build and ship code

Coding agents

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

Stack fit

Add it to a complete workflow

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.

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.

Find, compare, and synthesize

Research report agent

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

Alternative shortlist

Compare before you install

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

Compare all

TradingAgents

TradingAgents: Multi-Agents LLM Financial Trading Framework

Adopt
Ready100
Quality100
Stars88.4K

OpenBB

Financial data platform for analysts, quants and AI agents.

Adopt
Ready100
Quality100
Stars69.5K

Daily Stock Analysis

LLM驱动的 A/H/美股智能分析：多数据源行情 + 实时新闻 + LLM决策仪表盘 + 多渠道推送，零成本定时运行，纯白嫖. LLM-powered stock analysis system for A/H/US markets.

Adopt
Ready100
Quality100
Stars51.9K

Freqtrade

Free, open source crypto trading bot

Adopt
Ready100
Quality100
Stars51.6K

Overview

Autonomous quantitative trading research platform that transforms stock lists into fully backtested strategies using AI agents, real market data, and mathematical formulations, all without requiring any coding.

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

pythonFULL
financeFULL

Technical Details

Version
1.0.0
License
Unknown
Last Updated
6/21/2026
Published
6/21/2026

Frameworks & Tools

PythonFinance

Decision snapshot

Companion skill

72
Ready
Shortlist
Stage

recent repository activity

Audit snapshot

Install review

Install and adoption review

82
Needs review
Security
81/100
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 AgentQuant, ready for a manual X post.

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

AgentQuant helps turn market noise into source-backed analysis an agent can reuse.

132 stars

https://www.openagentskill.com/skills/onepunchmonk-agentquant?ref=x
#AIAgents
Open X draft
Optional reply with install command
Listing + install path for AgentQuant:
https://www.openagentskill.com/skills/onepunchmonk-agentquant?ref=x

Install: npx skills add OnePunchMonk/AgentQuant
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.

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 OnePunchMonk 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.

[![OpenAgentSkill](https://www.openagentskill.com/api/badge/onepunchmonk-agentquant)](https://www.openagentskill.com/skills/onepunchmonk-agentquant)
Preview badgeAudit badge

Author

O

OnePunchMonk

@onepunchmonk

Tags

financequantresearchagentic-aiautonomous-agentfinance-aifintechlangchainlanggraphportfolio-optimization

Platform Fit

Claude CodeLangChain

Health Signals

GitHub stars
132
Quality score
49/100
Last GitHub push
Jun 18, 2026
Framework hints
2
OpenAgentSkill views
0
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

70
  • GitHub adoption132 GitHub starsINFO
  • Stars/forks activity132 stars, 22 forks; issue activity unavailable in current metadataCHECK
  • Recent maintenance14d since pushPASS
  • License clarityUnknownCHECK
  • README/SKILL.md completenessMetadata includes enough usage and workflow contextPASS
  • Dependency/runtime riskno major dependency risk hints in public metadataPASS

Related Skills

TradingAgents

TradingAgents: Multi-Agents LLM Financial Trading Framework

88.4K stars · 0 installs

OpenBB

Financial data platform for analysts, quants and AI agents.

69.5K stars · 0 installs

Daily Stock Analysis

LLM驱动的 A/H/美股智能分析：多数据源行情 + 实时新闻 + LLM决策仪表盘 + 多渠道推送，零成本定时运行，纯白嫖. LLM-powered stock analysis system for A/H/US markets.

51.9K stars · 0 installs

Freqtrade

Free, open source crypto trading bot

51.6K stars · 0 installs