Hhxg Top Hhxg Python

REVIEW · 63
Community indexed

skills:一句话获取 A 股每日市场数据 — 赚钱效应、热门题材、连板天梯、游资龙虎榜。零配置,无需注册,无需 Token。

Downloads0
Stars67
Version1.0.0
Quality75/100 · Strong
Trust63/100 · Sandbox only
Audit80/100 · Needs review

Supply asset profile

Coding and developer agents

Code review, repo analysis, testing, CI, GitHub, DevOps, and developer workflow skills.

Browse track

Scenario

Coding agents

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

Agent fit

Claude Code + OpenAI Agents + Cursor

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

Install

Ready

npx skills add Niceck/hhxg-top-hhxg-python

Maintenance

fresh

Pushed today

Risk

Needs review

Dependency or permission surface needs review

GitHub quality

67

75/100 Quality · 71/100 Trust

Coverage tags

CodingCoding agentsutilityskillfinance-workflow

Review notes

Dependency or permission surface needs review · Permission surface may require sandboxing

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
75

Solid option that is likely worth shortlisting for production workflows.

Trust

Sandbox only
63

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

Audit

Needs review
80

A machine-readable review of install readiness, security metadata, maintenance, and adoption risk.

OpenAgentSkill Trust Score v5

Human review before install

Run only in a sandbox and compare close alternatives before using it for real work.

PythonCodexClaude CodeCursorOpenAgentSkill CLI

Stars

67 GitHub stars

Repo activity

67 stars, 8 forks

Maintenance

Pushed today

License

MIT

Install

npx skills add Niceck/hhxg-top-hhxg-python

Install safety

standard package or runtime install path

Permission surface

secrets or environment access, shell or command execution

Agent outcomes

No agent outcome data yet

Docs

Usable metadata, review docs

Risk summary

Review before production

  • Quality score needs review
  • Permission surface needs review: secrets or environment access, shell or command execution
  • GitHub adoption: 67 GitHub stars
  • Stars/forks activity: 67 stars, 8 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

PythonCodexClaude CodeCursorOpenAgentSkill CLIOpenAI AgentsCLI

Install decision

Command
npx skills add Niceck/hhxg-top-hhxg-python
Policy
block
Human review
yes

Trust and risk

Trust
63/100
Audit
80/100
Risk level
Needs review

Outcome loop

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

Install command

npx skills add Niceck/hhxg-top-hhxg-python

Do not use when

  • teams that need a vendor-supported SLA
  • high-compliance environments without internal security review
  • No OpenAgentSkill engagement data yet
  • High-risk permission hints: Shell or command execution, Secrets or environment access
  • Dependency or permission surface needs review

Agent safety v2

44/100 · Avoid automatic install

Blocked for auto-installblock

This skill should not be selected by an agent without explicit human security review.

Do not auto-install. Inspect the source, dependencies, and permission surface first.

Resolve via API

high

Shell or command execution

Skill metadata references terminal, CLI, shell, subprocess, or command execution workflows.

medium

Network access

Skill likely fetches remote pages, APIs, repositories, or external services.

high

Secrets or environment access

Skill metadata references credentials, tokens, environment variables, or secret-bearing workflows.

  • High-risk permission hints: Shell or command execution, Secrets or environment access
  • Dependency or permission surface needs review

Install targets

Install this skill in your agent workflow

Use the public install endpoint to fetch the command, safety checklist, target prompts, and canonical links for this skill.

skill install

OpenAgentSkill CLI

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

$ npx skills add Niceck/hhxg-top-hhxg-python

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

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 Hhxg Top Hhxg Python in this workspace.
Resolve first: https://www.openagentskill.com/api/agent/resolve?task=Use%20Hhxg%20Top%20Hhxg%20Python%20for%20an%20agent%20workflow&agent=codex&max_risk=medium
Review install handoff: https://www.openagentskill.com/api/skills/niceck-hhxg-top-hhxg-python/install
Install command: npx skills add Niceck/hhxg-top-hhxg-python
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

Agent prompt

Use Hhxg Top Hhxg Python for this task. Review https://www.openagentskill.com/api/skills/niceck-hhxg-top-hhxg-python/install, then install with: npx skills add Niceck/hhxg-top-hhxg-python

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

Agent fit

74/100

Coding agents

Platforms

Python, Claude Code, OpenAI Agents, Cursor

Audit report

Needs review · 80/100

A machine-readable review of install readiness, security metadata, maintenance, and adoption risk.

View audit reportView eval report

Agent decision cockpit

Companion skill for Coding agents

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

74
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
  • 75/100 quality profile

review first

  • No OpenAgentSkill engagement data yet

Implementation path

  1. 1Install it in a sandbox agent and run one Coding agents 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.

63
OpenAgentSkill Trust Score

GitHub adoption

CHECK

67 GitHub stars

Stars/forks activity

CHECK

67 stars, 8 forks; issue activity unavailable in current metadata

Recent maintenance

PASS

Pushed today

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
  • Permission surface needs review: secrets or environment access, shell or command execution
  • GitHub adoption: 67 GitHub stars
  • Stars/forks activity: 67 stars, 8 forks; issue activity unavailable in current metadata
  • Dependency/runtime risk: command execution surface, credential or environment access
  • Permission surface: secrets or environment access, shell or command execution
  • 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.

75
GitHub stars
67
Freshness
Today
Install ready
Yes
License
MIT

Workflow fit

Use this skill in these scenarios

Workflow fit

Add it to a complete workflow

Alternative shortlist

Compare before you install

Similar skills that may fit this task.

Compare all

Overview

# hhxg-market — A 股量化数据助手

> Claude Code 技能:零配置获取 A 股日报、日历、融资融券、实时快讯、北向资金、题材热度、董秘问答、量化策略与风险预警

[![License: MIT](https://img.shields.io/badge/license-MIT-green.svg)](LICENSE) [![Data by hhxg.top](https://img.shields.io/badge/data-hhxg.top-blue.svg)](https://hhxg.top)

如果对你有用,欢迎点个 ⭐ Star — 帮助更多人发现这个工具。

---

## 什么是 hhxg-market?

一个 [Claude Code](https://claude.ai/code) 技能(Skill),安装后直接对 AI 说「今天 A 股怎么样」、「融资融券数据」、「明天是交易日吗」就能获取对应数据。

**无需注册、无需 Token、无需安装任何 Python 包**,仅需 Python 3 标准库。

数据由 [恢恢量化](https://hhxg.top) 持续更新,覆盖 5000+ 只 A 股。

---

## 效果预览

![日报快照](screenshots/snapshot.svg)

![连板天梯 & 融资融券](screenshots/ladder-margin.svg)

---

## 安装

```bash git clone --depth 1 https://github.com/Niceck/hhxg-top-hhxg-python.git /tmp/hhxg-market && \ mkdir -p ~/.claude/skills && \ rm -rf ~/.claude/skills/hhxg-market && \ mv /tmp/hhxg-market ~/.claude/skills/hhxg-market ```

### 更新

```bash cd ~/.claude/skills/hhxg-market && git pull ```

### 卸载

```bash rm -rf ~/.claude/skills/hhxg-market ```

---

## 功能模块

| 模块 | 脚本 | 数据内容 | |------|------|----------| | 日报快照 | `fetch_snapshot.py` | 赚钱效应、热门题材、连板天梯、游资龙虎榜、行业资金、焦点新闻 | | A 股日历 | `calendar.py` | 交易日查询、限售解禁、业绩预告、期货交割日 | | 融资融券 | `margin.py` | 近 7 日余额变化、融资净买入/净卖出 TOP | | 实时快讯 | `news.py` | 财经快讯流(按时间倒序) | | 北向资金 | `northbound.py` | 近 7 日沪深港通资金流向(北向/南向/沪股通/深股通) | | 题材概念 | `theme.py` | 热度榜 + 概念链路(龙头映射/共现关联/related 查询) | | 董秘问答 | `dongmi.py` | 7 日 QA 流水 + 30 日 TOP 被问股/热门话题 + 个股查询 | | 量化策略 | `strategy.py` | 策略审计 + 最新信号 + 历史胜率 + 游资席位持仓 | | 共振风险 | `resonance.py` | 跨源共振信号 + 4 类风险预警(暴跌/出货/见顶/高换手) |

---

## 使用方式

### 在 Claude Code 中对话

``` 你:今天 A 股怎么样? 你:热门题材 / 连板天梯 / 龙虎榜 你:明天是交易日吗? 你:融资融券数据 你:最新财经快讯 ```

### 触发词

| 类别 | 触发词示例 | |------|--------| | 行情 | A股、股市、大盘、今天涨跌、大盘怎么样、盘后复盘、赚钱效应 | | 题材 | 热门题材、连板天梯、连板情况、龙虎榜、涨停、行业资金流向 | | 日历 | 今天是交易日吗、明天开盘吗、下周解禁、交割日、财报季 | | 两融 | 融资融券、两融、两融数据、融资净买入、融资余额 | | 快讯 | 最新快讯、财经新闻、焦点新闻、实时新闻 | | 北向 | 北向资金、外资流入、沪股通、深股通、沪深港通 | | 题材概念 | 题材热度、概念链、题材龙头、概念排名 | | 董秘 | 董秘问答、投资者互动、热门提问、XX董秘说了什么 | | 选股 | 量化选股、选股策略、选股信号、策略胜率、游资席

Platform compatibility

pythonFULL

Technical details

Version
1.0.0
License
MIT
Last updated
Aug 3, 2026
Published
Aug 3, 2026

Frameworks & tools

Python

Decision snapshot

Companion skill

74
Ready
Shortlist
Stage

recent repository activity

Audit

Install review

Install and adoption review

80
Needs review
Security
79/100
Maintenance
100/100
Install
92/100
Open full auditView 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.

Install

Add to agent workflow

Free and open source. Review the report before installing into production agents.

Growth loop

Share kit

X

Scenario-led draft for Hhxg Top Hhxg Python, ready for a manual X post.

Curator note
Before you hand an agent market research, give it a repeatable starting point.

Hhxg Top Hhxg Python: skills:一句话获取 A 股每日市场数据 — 赚钱效应、热门题材、连板天梯、游资龙虎榜。零配置,无需注册,无需 Token。

67 stars

https://www.openagentskill.com/skills/niceck-hhxg-top-hhxg-python?ref=x
Open X draft
Optional reply with install command
Listing + install path for Hhxg Top Hhxg Python:
https://www.openagentskill.com/skills/niceck-hhxg-top-hhxg-python?ref=x

Install: npx skills add Niceck/hhxg-top-hhxg-python

Listing source

Community indexed

Claimable

This listing was indexed from public sources and is not marked official until a maintainer claim is approved.

Creator
Niceck
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 Niceck 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.

Creator backlink kit

Add the evidence badges to your README

Show the canonical listing, current trust and audit signals, and real Agent-Proven evidence where developers evaluate the repository.

[![Listed on OpenAgentSkill](https://www.openagentskill.com/api/badge/niceck-hhxg-top-hhxg-python?metric=listed&label=Listed)](https://www.openagentskill.com/skills/niceck-hhxg-top-hhxg-python)
[![OpenAgentSkill Trust](https://www.openagentskill.com/api/badge/niceck-hhxg-top-hhxg-python?metric=trust&label=Trust)](https://www.openagentskill.com/skills/niceck-hhxg-top-hhxg-python)
[![OpenAgentSkill Audit](https://www.openagentskill.com/api/badge/niceck-hhxg-top-hhxg-python?metric=audit&label=Audit)](https://www.openagentskill.com/skills/niceck-hhxg-top-hhxg-python/audit)
[![Agent Proven](https://www.openagentskill.com/api/badge/niceck-hhxg-top-hhxg-python?metric=proven&label=Agent%20Proven)](https://www.openagentskill.com/skills/niceck-hhxg-top-hhxg-python)

Author

N

Niceck

@niceck

Health signals

GitHub stars
67
Quality score
46/100
Last GitHub push
Aug 3, 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

Sandbox only

63
  • GitHub adoption67 GitHub starsCHECK
  • Stars/forks activity67 stars, 8 forks; issue activity unavailable in current metadataCHECK
  • Recent maintenancePushed todayPASS
  • License clarityMITPASS
  • README/SKILL.md completenessPublic metadata needs stronger README/SKILL.md contextINFO
  • Dependency/runtime riskcommand execution surface, credential or environment accessCHECK