AI Quant Book
《AI Quant Trading - From Zero to One》
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 waylandzhang/ai-quant-book
Maintenance
active
4mo since push
Risk
Needs review
License is unclear
GitHub quality
386
68/100 quality · 76/100 trust
Coverage tags
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
PromisingUseful candidate, but compare it with alternatives before adopting.
Trust
Strong shortlistGood trust signals with a few areas worth checking before rollout.
Audit
Needs reviewInstall 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
386 GitHub stars
Repo activity
386 stars, 93 forks
Maintenance
4mo since push
License
Unknown
Install
npx skills add waylandzhang/ai-quant-book
Install safety
standard package or runtime install path
Permission surface
filesystem or document access
Docs
Usable metadata, review docs
Risk summary
Review before production
- License is unclear
- Quality score needs review
- License clarity: Unknown
Install readiness
Install path available
- Install path is available
- Repository evidence is available
- License is unclear
- 4mo 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
- 76/100
- Risk level
- Needs review
- Auto install
- review
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
Agent safety v2
60/100 · Review before install
Usable candidate, but the agent should surface permission and audit notes before installation.
Require human approval before installing into a real workspace.
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.
OpenAgentSkill CLI
Use the registry command when your workflow supports the OpenAgentSkill installer.
$ npx skills add waylandzhang/ai-quant-bookAgent 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%20AI%20Quant%20Book%20for%20an%20agent%20workflow&agent=codex&max_risk=medium
Resolve text
/api/agent/resolve?task=Use%20AI%20Quant%20Book%20for%20an%20agent%20workflow&agent=codex&max_risk=medium&format=text
Install handoff
/api/skills/waylandzhang-ai-quant-book/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 AI Quant Book in this workspace.
Resolve first: https://www.openagentskill.com/api/agent/resolve?task=Use%20AI%20Quant%20Book%20for%20an%20agent%20workflow&agent=codex&max_risk=medium
Review install handoff: https://www.openagentskill.com/api/skills/waylandzhang-ai-quant-book/install
Install command: npx skills add waylandzhang/ai-quant-book
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/waylandzhang-ai-quant-book/install
LLM text format
/api/skills/waylandzhang-ai-quant-book/install?format=text
Find alternatives
/api/skills/search?q=AI%20Quant%20Book&limit=3
Agent prompt
Use AI Quant Book for this task. Review https://www.openagentskill.com/api/skills/waylandzhang-ai-quant-book/install, then install with: npx skills add waylandzhang/ai-quant-bookRegistry 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/waylandzhang-ai-quant-book
LLM text
/api/registry/manifest/waylandzhang-ai-quant-book?format=text
Install alias
/api/registry/install/waylandzhang-ai-quant-book
Recommend
/api/registry/recommend?task=Use%20AI%20Quant%20Book%20in%20an%20agent%20workflow&limit=3
Agent fit
Finance and quant
Use-case tags
Platforms
Quant, Claude Code
Audit report
Needs review · 76/100
Review install readiness, maintenance, trust, quality, and metadata warnings before adding this skill to an agent workflow.
Agent decision cockpit
Fallback candidate for Finance and quant
Prototype with this skill first; keep a fallback candidate ready.
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
- 68/100 quality profile
Review first
- No OpenAgentSkill engagement data yet
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
INFO386 GitHub stars
Stars/forks activity
INFO386 stars, 93 forks; issue activity unavailable in current metadata
Recent maintenance
INFO4mo since push
License clarity
CHECKUnknown
Good signals
- AI review approved
- Install path is available
- Repository evidence is available
- Install command has no obvious high-risk pattern
Review before install
- License is unclear
- Quality score needs review
- License clarity: Unknown
Recommended action
Test in a sandbox workflow and compare its install path with close alternatives.
Quality profile
Promising candidate for agent workflows
Useful candidate, but compare it with alternatives before adopting.
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
《AI Quant Trading - From Zero to One》
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
- Unknown
- Last Updated
- 6/16/2026
- Published
- 6/16/2026
Frameworks & Tools
Decision snapshot
Fallback candidate
recent repository activity
Audit Snapshot
Install and adoption review
- Security
- 80/100
- Maintenance
- 76/100
- Install
- 92/100
Growth loop
Share this skill
Scenario-led draft for AI Quant Book, with the OpenAgentSkill Update theme and canonical URL.
OpenAgentSkill Update Today: AI Quant Book Use it when you want an agent to turn market noise into source-backed research, ranked candidates, and risk c... 386 stars - finance Link: https://www.openagentskill.com/skills/waylandzhang-ai-quant-book?ref=x #AIAgents #OpenAgentSkill
Optional reply with install command
Link for AI Quant Book: https://www.openagentskill.com/skills/waylandzhang-ai-quant-book?ref=x Install: npx skills add waylandzhang/ai-quant-book
Listing source
Community indexed
This listing was indexed from public sources and is not marked official until a maintainer claim is approved.
- Creator
- waylandzhang
- 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 waylandzhang 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/waylandzhang-ai-quant-book)Author
waylandzhang
@waylandzhang
Platform Fit
Health Signals
- GitHub stars
- 386
- Quality score
- 45/100
- Last GitHub push
- Feb 14, 2026
- Framework hints
- 1
- 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
Strong shortlist
- GitHub adoption386 GitHub starsINFO
- Stars/forks activity386 stars, 93 forks; issue activity unavailable in current metadataINFO
- Recent maintenance4mo since pushINFO
- License clarityUnknownCHECK
- 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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