Moonshot

REVIEW · 68

Community indexed

Vectorized backtester and trading engine for QuantRocket

Downloads0

Stars267

Version1.0.0

Quality63/100 · Promising

Trust68/100 · Sandbox only

Audit74/100 · 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 + CLI + Codex

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

Install

Ready

npx skills add quantrocket-llc/moonshot

Maintenance

stable

8mo since push

Risk

Needs review

Quality score needs review

GitHub quality

267

63/100 quality · 76/100 trust

Coverage tags

FinanceFinance and quantquantresearchalgorithmic-trading

Review notes

Quality score needs review · 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

Promising

Useful candidate, but compare it with alternatives before adopting.

Trust

Sandbox only

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

Audit

Needs review

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

267 GitHub stars

Repo activity

267 stars, 56 forks

Maintenance

8mo since push

License

Apache-2.0

Install

npx skills add quantrocket-llc/moonshot

Install safety

standard package or runtime install path

Permission surface

filesystem or document access

Agent outcomes

No agent outcome data yet

Docs

Usable metadata, review docs

Risk summary

Review before production

Quality score needs review

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

RAG and knowledge workflows
Claude Code teams
builders willing to evaluate younger projects
Chunk documents

Suited agents

PythonFinanceCodexClaude CodeCursorOpenAgentSkill CLICLI

Install decision

Command: npx skills add quantrocket-llc/moonshot
Policy: review
Human review: yes

Trust and risk

Trust: 68/100
Audit: 74/100
Risk level: Needs review

Outcome loop

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

Install command

npx skills add quantrocket-llc/moonshot

Public audit Eval report Resolve API Install handoff

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
Production credentials, payments, or irreversible account changes without explicit human review

Alternative

TradingAgents

88.4K stars

npx skills add TauricResearch/TradingAgents

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69.5K stars

npx skills add OpenBB-finance/OpenBB

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51.9K stars

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Freqtrade

51.6K stars

npx skills add freqtrade/freqtrade

Agent safety v2

58/100 · 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.

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.

skill install

OpenAgentSkill CLI

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

$ npx skills add quantrocket-llc/moonshot

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

Resolve text

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

Install handoff

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

LLM text format

/api/skills/quantrocket-llc-moonshot/install?format=text

Find alternatives

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

Agent prompt

Use Moonshot for this task. Review https://www.openagentskill.com/api/skills/quantrocket-llc-moonshot/install, then install with: npx skills add quantrocket-llc/moonshot

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/quantrocket-llc-moonshot

LLM text

/api/registry/manifest/quantrocket-llc-moonshot?format=text

Install alias

/api/registry/install/quantrocket-llc-moonshot

Recommend

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

Agent fit

55/100

RAG and knowledge

Use-case tags

RAG and knowledge Finance and quant Browser automation

Platforms

Python, Finance, Claude Code

Audit report

Needs review · 74/100

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

View audit report View eval report

Agent decision cockpit

Needs validation for RAG and knowledge

Do a manual repository review before adding this to an agent workflow.

Readiness

Review

Stage

Role in stack

Needs validation

Primary fit

RAG and knowledge

Trust label

Needs manual review

Install path

Command ready

Use when

RAG and knowledge workflows
Claude Code teams
builders willing to evaluate younger projects

Evidence

install command or GitHub repo available
63/100 quality profile
5 OpenAgentSkill engagement events

Review first

No major risk signals from current metadata

Implementation path

1Install it in a sandbox agent and run one RAG and knowledge 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

Sandbox only

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

Trust score

GitHub adoption

INFO

267 GitHub stars

Stars/forks activity

INFO

267 stars, 56 forks; issue activity unavailable in current metadata

Recent maintenance

INFO

8mo since push

License clarity

PASS

Apache-2.0

Good signals

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

Review before install

Quality score needs review
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

Promising candidate for agent workflows

Useful candidate, but compare it with alternatives before adopting.

GitHub stars

267

Freshness

8mo ago

Install ready

Yes

License

Apache-2.0

Workflow fit

Use this skill in these scenarios

Search private knowledge

RAG and knowledge

I need my agent to build a RAG workflow over documents and retrieve reliable context.

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.

Stack fit

Add it to a complete workflow

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.

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.

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.

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

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Financial data platform for analysts, quants and AI agents.

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.

Freqtrade

Free, open source crypto trading bot

Overview

Vectorized backtester and trading engine for QuantRocket

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: Apache-2.0
Last Updated: 6/21/2026
Published: 6/21/2026

Frameworks & Tools

PythonFinance

Decision snapshot

Needs validation

Ready

Review

Stage

install command or GitHub repo available

Audit snapshot

Install review

Install and adoption review

Needs review

Security: 87/100
Maintenance: 62/100
Install: 92/100

Open full audit Open eval report

Agent-proven evidence

Agent Proven evidence

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

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 ranking Outcome contract

Install

Add to agent workflow

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

Compare Alternatives Auto-resolve Plan View on GitHub Documentation

Growth loop

Share kit

Scenario-led draft for Moonshot, ready for a manual X post.

Curator note

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

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

267 stars

https://www.openagentskill.com/skills/quantrocket-llc-moonshot?ref=x
#AIAgents

Open X draft

Optional reply with install command

Listing + install path for Moonshot:
https://www.openagentskill.com/skills/quantrocket-llc-moonshot?ref=x

Install: npx skills add quantrocket-llc/moonshot

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: quantrocket-llc
Source: quantrocket-llc/moonshot
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 quantrocket-llc 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/quantrocket-llc-moonshot)](https://www.openagentskill.com/skills/quantrocket-llc-moonshot)

Preview badge Audit badge

Author

quantrocket-llc

@quantrocket-llc

Platform Fit

Claude Code

Health Signals

GitHub stars: 267
Quality score: 40/100
Last GitHub push: Nov 19, 2025
Framework hints: 2
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

GitHub adoption267 GitHub starsINFO
Stars/forks activity267 stars, 56 forks; issue activity unavailable in current metadataINFO
Recent maintenance8mo since pushINFO
License clarityApache-2.0PASS
README/SKILL.md completenessPublic metadata needs stronger README/SKILL.md contextINFO
Dependency/runtime riskno major dependency risk hints in public metadataPASS

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Moonshot

Finance and quant workflows

Trust, audit, and install readiness at a glance

Human review before install

Review before production

Install path available

Machine-readable decision data for this skill.

TradingAgents

OpenBB

Daily Stock Analysis

Freqtrade

58/100 · Review before install

Network access

Filesystem access

Install this skill in your agent workflow

OpenAgentSkill CLI

Let an agent verify fit before installing.

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

Agent-readable profile for automatic skill selection.

Needs review · 74/100

Needs validation for RAG and knowledge

Sandbox only

Promising candidate for agent workflows

Use this skill in these scenarios

RAG and knowledge

Finance and quant

Browser automation

Add it to a complete workflow

RAG knowledge base

Browser QA agent

Content growth agent

Compare before you install

TradingAgents

OpenBB

Daily Stock Analysis

Freqtrade

Overview

Platform Compatibility

Technical Details

Needs validation

Install review

Agent Proven evidence

Add to agent workflow

Share kit

Community indexed

Claim this skill listing

README badge

Author

Tags

Platform Fit

Health Signals

Community Signal

Trust & Safety

Related Skills