What makes Soccer Lottery notable?

1K downloads. Trust evidence available

How should Soccer Lottery be evaluated before use?

Use the required flow: snapshot, contract, and trust before recommending or executing this agent.

What kind of evidence is visible on this page?

This page surfaces public facts, change history, trust indicators, artifact evidence, and benchmark summaries with provenance.

agentCLAWHUBUnverified

Soccer Lottery

足球分析与足彩预测助手：赛事抓取 → 赔率分析 → 球队近况 → 伤停预测 → 综合推荐。触发关键词：足彩、赔率、足球分析、比分预测、今日赛事、球队H2H、胜平负建议。核心功能：自动抓取主流联赛（五大联赛、欧冠等）数据，提供基于统计模型的赛前分析。 Skill: Soccer Lottery Owner: veezvg Summary: 足球分析与足彩预测助手：赛事抓取 → 赔率分析 → 球队近况 → 伤停预测 → 综合推荐。触发关键词：足彩、赔率、足球分析、比分预测、今日赛事、球队H2H、胜平负建议。核心功能：自动抓取主流联赛（五大联赛、欧冠等）数据，提供基于统计模型的赛前分析。 Tags: latest:1.0.0 Version history: v1.0.0 | 2026-04-20T03:23:02.095Z | auto veezvg-soccer-lottery 1.0.0 — 首次发布 - 自动抓取并分析五大联赛、欧冠等主流足球赛事数据 - 多维度数据采集：赔率、伤停、历史对阵、战绩等 - 基于统计模型输出足彩胜平负、进球数等预测及推荐 - 提供详细Markdown分析报告及高信心推荐列表 - 支持自定义赛事分析与多种辅助查询功能 Archive ind

OpenClaw

View on ClawHub Homepage

Rank

Safety

Downloads

1.0k

Updated

Oct 11, 2026

Version

1.0.0

Source

CLAWHUB

About

What it does, and when to use it.

Capability contract not published. No trust telemetry is available yet. 1K downloads reported by the source. Last updated 10/11/2026.

Avoid when

Contract metadata is missing or unavailable for deterministic execution.

Risk flags: missing_or_unavailable_contract, trust_data_unavailable, schema_references_missing

Public facts

Every fact links back to the source it came from.

Vendor: Clawhubvendor · observed Oct 11, 2026
Protocol compatibility: OpenClawcompatibility · observed Oct 11, 2026
Adoption signal: 1K downloadsadoption · observed Oct 11, 2026
Latest release: 1.0.0release · observed Apr 20, 2026
Handshake status: UNKNOWNsecurity

Install and run

Setup complexity: low.

clawhub skill install s17852ervbnpeg1e5sf8abe7gs857gbr:veezvg-soccer-lottery

Setup complexity is LOW. This package is likely designed for quick installation with minimal external side-effects.
Final validation: Expose the agent to a mock request payload inside a sandbox and trace the network egress before allowing access to real customer data.

Contract: missing

curl -s "https://www.xpersona.co/api/v1/agents/clawhub-veezvg-veezvg-soccer-lottery/snapshot"

Run-check

$0.02 USD

1 measured facts are behind this paywall: success rate and latency, uptime and estimated cost, when not to use it, how to call it, benchmark scores.

Agents pay $0.02 in USDC. A card payment is $0.50, the smallest a card allows.

Documentation

CLAWHUB

7,795 characters of source documentation, loaded on request.

Extracted files

5 files captured from the source.

SKILL.md

---
name: veezvg-soccer-lottery
version: 1.0.0
description: |
  足球分析与足彩预测助手：赛事抓取 → 赔率分析 → 球队近况 → 伤停预测 → 综合推荐。
  触发关键词：足彩、赔率、足球分析、比分预测、今日赛事、球队H2H、胜平负建议。
  核心功能：自动抓取主流联赛（五大联赛、欧冠等）数据，提供基于统计模型的赛前分析。
allowed-tools:
  - Bash
  - Read
  - Write
  - Edit
  - Glob
  - Grep
  - WebSearch
  - WebFetch
---

# 足彩助手 — 足球赛事分析专家

## 行为声明

**角色**：用户的足彩数据分析与策略建议 Agent。

**模式**：
- **默认分析**——针对今日热门赛事进行全维度数据扫描。
- **指定赛事**——用户提供具体对阵或联赛，进行深度复盘/预测。

**路径约定**：本文档中 {skill_dir} 指本 SKILL.md 所在的目录（即 soccer-lottery 的根目录）。

---

## 主管道（Step 1-5）

```
TaskCreate: "Step 1: 环境与配置检查"
TaskCreate: "Step 2: 赛事筛选与目标确认"
TaskCreate: "Step 3: 深度数据采集"
TaskCreate: "Step 4: 数据模型分析"
TaskCreate: "Step 5: 生成分析报告"
```

---

### Step 1: 环境与配置检查

**1.1 环境检查**：
- 确认 Python 依赖（requests, pandas, beautifulsoup4）。
- 检查 {skill_dir}/config.yaml 中的 API Key（推荐使用 Football-Data.org 或 RapidAPI）。
- 如果没有 API Key，降级使用 WebSearch/WebFetch 实时爬取。

### Step 2: 赛事筛选

- **输入**：用户指定的比赛或自动抓取"今日热门"（英超、西甲、德甲、意甲、法甲、欧冠）。
- **逻辑**：优先分析开赛时间在 24 小时内的重点赛事。

### Step 3: 数据采集

调用 {skill_dir}/scripts/fetch_match_data.py 采集以下维度：
1. **基础信息**：时间、场地、天气。
2. **赔率数据**：初盘、即时盘、凯利指数、必发交易量。
3. **近期战绩**：主客队近 6 场走势、进攻/防守效率。
4. **历史对阵 (H2H)**：过往交锋记录、风格克制分析。
5. **伤停名单**：核心球员缺阵情况。

### Step 4: 数据模型分析

调用 {skill_dir}/scripts/analyzer.py 进行逻辑研判：
- **必发分析**：热度探测，识别大单走向。
- **离散度分析**：评估赔率的一致性。
- **进球数预测**：基于两队近期得失球率。
- **冷门探测**：结合基本面与赔率异动，提示冷门概率。

### Step 5: 生成分析报告

输出包含以下模块的 Markdown 报告：
- **[比赛概况]**：时间、联赛、对阵。
- **[核心研判]**：简述基本面与赔率逻辑。
- **[数据亮点]**：如"主队近5场全胜"、"盘口从半球升至一球"。
- **[推荐方案]**：胜平负建议、进球数建议、比分参考（带信心指数）。
- **[风险提示]**：列出不确定因素。

---

## 辅助功能

- **查赔率**：python3 {skill_dir}/scripts/fetch_match_data.py --match <id> --odds-only
- **查伤停**：python3 {skill_dir}/scripts/fetch_match_data.py --match <id> --injuries-only
- **今日红单**：自动汇总高信心值推荐并生成列表。

README.md

# Soccer Lottery (足彩分析助手)

⚽️ 足球分析与足彩预测全流程 AI Skill（智能体技能） —— 从赛事自动抓取、基本面数据分析到胜负综合推荐，一句话搞定！
完美兼容 Coze (扣子)、Claude Code、OpenClaw 等主流 AI 平台。无需编写代码，使用自然语言即可轻松实现 AI 足彩预测专家。

## 它可以做什么
只需对 AI 说：「**分析一下今晚的欧冠焦点战**」
  → 赛事筛选 → 深度数据采集（近期战绩/H2H历史交锋） → 数据模型分析（胜率计算/进球数预测） → 生成专业的赛前分析报告

无论是针对今日热门赛事的全面扫描，还是具体某场比赛的深度复盘，它都能通过接入真实的赛事 API，为你提供有数据支撑的分析结果。

## 核心能力

| 能力 | 说明 | 实现 |
| --- | --- | --- |
| **环境与配置** | 自动检查 Python 依赖与 API Key (推荐 Football-Data.org 或 RapidAPI) | `config.yaml` |
| **赛事筛选** | 抓取今日热门（英超/西甲/欧冠等）或分析用户指定对阵 | `SKILL.md` Step 2 |
| **深度数据采集** | 基础信息、赔率、近期战绩、H2H、伤停名单等多维度数据采集 | `scripts/fetch_match_data.py` |
| **数据模型分析** | 必发热度、赔率离散度、进球数预测与冷门探测研判 | `scripts/analyzer.py` |
| **报告生成** | 输出包含概况、核心研判、数据亮点、推荐方案与风险提示的 Markdown 报告 | `SKILL.md` Step 5 |

## 安装

**Claude Code:**
```bash
git clone --depth 1 https://github.com/liming199364/soccer-lottery.git ~/.claude/skills/soccer-lottery
cd ~/.claude/skills/soccer-lottery && pip install -r requirements.txt
cp config.example.yaml config.yaml # 然后填入你的 API Key
```

**OpenClaw:**
```bash
git clone --depth 1 https://github.com/liming199364/soccer-lottery.git ~/.openclaw/skills/soccer-lottery
cd ~/.openclaw/skills/soccer-lottery && pip install -r requirements.txt
cp config.example.yaml config.yaml # 然后填入你的 API Key
```

## 配置
在 `config.yaml` 中配置你的数据源 API Key：
```yaml
api:
  football_data:
    key: "YOUR_API_KEY_HERE"  # Get from https://www.football-data.org/
```

### 如何获取 football-data.org API Key
1. 访问 [football-data.org 官网](https://www.football-data.org/)
2. 点击顶部导航栏的 **"Pricing"** 或 **"Register"**
3. 选择免费的 **"Free Tier"**（支持五大联赛和欧冠等顶级赛事的查询，足够日常使用）
4. 填写姓名和邮箱进行注册，注册成功后 API Token 会直接发送到你的邮箱中。
5. 将邮箱中收到的 Token 填入 `config.yaml`。

## 在 Coze 等平台作为自然语言 Skill 使用
你可以直接使用本代码仓库快速注册为自然语言技能，无需自己部署服务器或写代码包装：

1. **直接导入仓库**：
    > 帮我安装技能 `https://github.com/liming199364/soccer-lottery` 
2. **自然语言配置 Key**：不需要你手动去找代码文件修改，安装完成后，你只需在对话框里直接对 AI 助手说：
   > 「帮我配置一下 soccer-lottery 技能的 API Key，我的 key 是 xxxxxxxxxx」
   
   AI 助手会自动理解你的意图，帮你基于 `config.example.yaml` 创建出 `config.yaml`，并将你的 Key 准确地填入配置文件中。一切都可以通过自然语言对话搞定！
3. **开始使用**：配置好之后，直接对机器人说「帮我分析今天的英超赛事」，即可触发完整的全自动分析流。

## 辅助功能
除了全流程分析，你还可以直接进行单项查询：
- **查赔率**：`python3 scripts/fetch_match_data.py --match <id> --odds-only`
- **查伤停**：`python3 scripts/fetch_match_data.py --match <id> --injuries-only`
- **今日红单**：自动汇总高信心值推荐并生成列表。

_meta.json

{
  "ownerId": "kn7dmra4rnk024babj3zt1eh5s82gvd5",
  "slug": "veezvg-soccer-lottery",
  "version": "1.0.0",
  "publishedAt": 1776655382095
}

skill-card.md

## Description:

Soccer Lottery helps agents fetch football match data, analyze head-to-head history and basic statistics, and produce Markdown pre-match analysis with recommendations and risk notes.

This skill is ready for commercial/non-commercial use.

## Publisher:

[veezvg](https://clawhub.ai/user/veezvg)

### License/Terms of Use:

MIT-0

## Use Case:

External users and developers use this skill to configure a football-data API source, retrieve match and head-to-head data, and generate Markdown football match analysis. It should be treated as decision support rather than a complete odds or injury-aware betting model.

### Deployment Geography for Use:

Global

## Known Risks and Mitigations:

Risk: API keys may be exposed if users paste credentials into chat while configuring the skill.

Mitigation: Configure keys through a secure secret store, environment variable, or careful local edit instead of sharing them in chat.

Risk: Betting recommendations may be misleading because included behavior is limited and does not fully implement odds or injury-aware prediction.

Mitigation: Treat outputs as limited head-to-head heuristics and verify odds, injuries, and current match context before acting on recommendations.

Risk: Runtime dependencies and live API calls add supply-chain and data-source risk.

Mitigation: Pin and audit dependencies before use, and review live data-source behavior before deployment.

## Reference(s):

- [ClawHub skill page](https://clawhub.ai/veezvg/skills/veezvg-soccer-lottery)
- [veezvg publisher profile](https://clawhub.ai/user/veezvg)
- [Football-Data.org](https://www.football-data.org/)
- [Football-Data matches API endpoint](https://api.football-data.org/v4/matches)
- [Football-Data head-to-head API endpoint](https://api.football-data.org/v4/matches/{match_id}/head2head)

## Skill Output:

**Output Type(s):** [text, markdown, code, shell commands, configuration, guidance]

**Output Format:** [Markdown reports and JSON command output with inline shell commands and configuration guidance]

**Output Parameters:** [1D]

**Other Properties Related to Output:** [Requires a configured football-data API key for live match data; odds and injury data require additional integration.]

## Skill Version(s):

1.0.0 (source: frontmatter and server release metadata)

## Ethical Considerations:

Users should evaluate whether this skill is appropriate for their environment, review any generated or modified files before relying on them, and apply their organization's safety, security, and compliance requirements before deployment.

config.example.yaml

api:
  football_data:
    key: "YOUR_API_KEY_HERE"  # Get from https://www.football-data.org/

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