Stock Analysis

REVIEW · 70

Community indexed

面相A股市场的量化交易的脚手架工具（轻量级），涵盖历史/实时数据查询、策略信号、触达等功能，可以自由进行因子开发/交易模块的扩展，适合快速上手量化开发。

Downloads0

Stars184

Version1.0.0

Quality74/100 · Strong

Trust70/100 · Sandbox only

Audit81/100 · 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 balabala-sean/stock-analysis

Maintenance

active

3mo since push

Risk

Needs review

Quality score needs review

GitHub quality

184

74/100 quality · 78/100 trust

Coverage tags

FinanceFinance and quantquantanalysisa-shares

Review notes

Quality score needs review · Stars/forks activity: 184 stars, 17 forks; issue activity unavailable in current metadata

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

Solid option that is likely worth shortlisting for production workflows.

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.

PythonQuantCodexClaude CodeCursor

Stars

184 GitHub stars

Repo activity

184 stars, 17 forks

Maintenance

3mo since push

License

MIT

Install

npx skills add balabala-sean/stock-analysis

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
Stars/forks activity: 184 stars, 17 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

Coding agents workflows
Claude Code teams
builders willing to evaluate younger projects
Inspect source files

Suited agents

PythonQuantCodexClaude CodeCursorOpenAgentSkill CLICLI

Install decision

Command: npx skills add balabala-sean/stock-analysis
Policy: review
Human review: yes

Trust and risk

Trust: 70/100
Audit: 81/100
Risk level: Needs review

Outcome loop

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

Install command

npx skills add balabala-sean/stock-analysis

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
Stars/forks activity: 184 stars, 17 forks; issue activity unavailable in current metadata

Alternative

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Alternative

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Alternative

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51.9K stars

npx skills add ZhuLinsen/daily_stock_analysis

Alternative

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51.6K stars

npx skills add freqtrade/freqtrade

Agent safety v2

65/100 · 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 balabala-sean/stock-analysis

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%20Stock%20Analysis%20for%20an%20agent%20workflow&agent=codex&max_risk=medium

Resolve text

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

Install handoff

/api/skills/balabala-sean-stock-analysis/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 Stock Analysis in this workspace.
Resolve first: https://www.openagentskill.com/api/agent/resolve?task=Use%20Stock%20Analysis%20for%20an%20agent%20workflow&agent=codex&max_risk=medium
Review install handoff: https://www.openagentskill.com/api/skills/balabala-sean-stock-analysis/install
Install command: npx skills add balabala-sean/stock-analysis
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/balabala-sean-stock-analysis/install

LLM text format

/api/skills/balabala-sean-stock-analysis/install?format=text

Find alternatives

/api/skills/search?q=Stock%20Analysis&limit=3

Agent prompt

Use Stock Analysis for this task. Review https://www.openagentskill.com/api/skills/balabala-sean-stock-analysis/install, then install with: npx skills add balabala-sean/stock-analysis

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/balabala-sean-stock-analysis

LLM text

/api/registry/manifest/balabala-sean-stock-analysis?format=text

Install alias

/api/registry/install/balabala-sean-stock-analysis

Recommend

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

Agent fit

74/100

Coding agents

Use-case tags

Coding agents RAG and knowledge Workflow automation

Platforms

Python, Quant, Claude Code

Audit report

Needs review · 81/100

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

Companion skill for Coding agents

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

Readiness

Shortlist

Stage

Role in stack

Companion skill

Primary fit

Coding agents

Trust label

Strong shortlist

Install path

Command ready

Use when

Coding agents workflows
Claude Code teams
builders willing to evaluate younger projects

Evidence

recent repository activity
install command or GitHub repo available
74/100 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 Coding agents 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

184 GitHub stars

Stars/forks activity

CHECK

184 stars, 17 forks; issue activity unavailable in current metadata

Recent maintenance

PASS

3mo 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

Quality score needs review
Stars/forks activity: 184 stars, 17 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.

GitHub stars

184

Freshness

3mo ago

Install ready

Yes

License

MIT

Workflow fit

Use this skill in these scenarios

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.

Automate repeated work

Workflow automation

I need my agent to automate a repeated workflow across tools and files.

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.

Compare all

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OpenBB

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

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

quantFULL

Technical Details

Version: 1.0.0
License: MIT
Last Updated: 6/21/2026
Published: 6/21/2026

Frameworks & Tools

PythonQuant

Decision snapshot

Companion skill

Ready

Shortlist

Stage

recent repository activity

Audit snapshot

Install review

Install and adoption review

Needs review

Security: 87/100
Maintenance: 88/100
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 Stock Analysis, ready for a manual X post.

Curator note

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

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

184 stars

https://www.openagentskill.com/skills/balabala-sean-stock-analysis?ref=x
#AIAgents

Open X draft

Optional reply with install command

Listing + install path for Stock Analysis:
https://www.openagentskill.com/skills/balabala-sean-stock-analysis?ref=x

Install: npx skills add balabala-sean/stock-analysis

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: balabala-sean
Source: balabala-sean/stock-analysis
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 balabala-sean 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/balabala-sean-stock-analysis)](https://www.openagentskill.com/skills/balabala-sean-stock-analysis)

Preview badge Audit badge

Author

balabala-sean

@balabala-sean

Platform Fit

Claude Code

Health Signals

GitHub stars: 184
Quality score: 47/100
Last GitHub push: Apr 11, 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

Sandbox only

GitHub adoption184 GitHub starsINFO
Stars/forks activity184 stars, 17 forks; issue activity unavailable in current metadataCHECK
Recent maintenance3mo since pushPASS
License clarityMITPASS
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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Stock Analysis

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

65/100 · 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 · 81/100

Companion skill for Coding agents

Sandbox only

Strong candidate for agent workflows

Use this skill in these scenarios

Coding agents

RAG and knowledge

Workflow automation

Add it to a complete workflow

Content growth agent

Coding review agent

RAG knowledge base

Compare before you install

TradingAgents

OpenBB

Daily Stock Analysis

Freqtrade

Overview

Platform Compatibility

Technical Details

Companion skill

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

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