roblox-game-data-scraper: Data & Analytics for AI Agents | OpenAgentSkill

Overview

从 Roblox 游戏的公开 Trello 看板采集卡片，并提取物品与兑换码结构化数据。适用于无需登录的公开看板资料整理和 JSON 数据准备。

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Roblox Trello Game Data Scraper

这个 Skill 只提供公开 Trello 看板采集能力。使用 resources/trello_scraper.py 调用 Trello 公共 API，读取列表和卡片并提取物品与兑换码。

已实现范围

通过看板 ID 获取公开 Trello 看板的列表与卡片。
从名称包含 item、weapon、accessory 或 equipment 的列表提取物品。
从名称包含 code 的列表提取兑换码，并根据列表名称判断 Active/Expired。
从卡片描述和标签提取稀有度、掉落率、部分属性、获取方式与奖励。
将提取结果序列化为 JSON。

解析采用启发式规则。字段没有在卡片中出现时会返回 None、空字典或 Unknown，不要把缺失值补写成事实。

未实现边界

Discord、Reddit、Roblox 游戏内 API、持续监控、类型文件生成和自动部署目前均未实现。它们只属于 roadmap；不要声称已采集这些来源，也不要为它们配置凭据或定时任务。

前置条件

Python 3.8+
requests
一个无需登录即可访问的公开 Trello 看板 ID

安装依赖：

python3 -m pip install requests

使用流程

从公开看板 URL https://trello.com/b/<board-id>/... 取得 <board-id>。
在 Python 中实例化 TrelloScraper 并调用 get_board_data(board_id)。
分别调用 extract_items(board_data) 和 extract_codes(board_data)。
保留原始来源 URL 和抓取时间，并人工复核启发式解析结果。

import json
from resources.trello_scraper import TrelloScraper

scraper = TrelloScraper()
board_data = scraper.get_board_data("your-public-board-id")
output = {
    "items": [vars(item) for item in scraper.extract_items(board_data)],
    "codes": scraper.extract_codes(board_data),
}
print(json.dumps(output, ensure_ascii=False, indent=2))

直接执行脚本会运行文件底部的示例看板，并在当前目录写入 trello_data.json。通用工作流应导入 TrelloScraper，显式提供自己的看板 ID 和输出位置。

输出字段

物品记录包含：

name
category
rarity
drop_rate
stats
obtain_method
description

兑换码记录包含：

code
reward
status
notes

错误与数据边界

私有、删除或不存在的看板会由 requests 的 HTTP 错误终止。
Trello 卡片格式变化可能降低提取完整度；应保留原始卡片内容以便复核。
公开访问不需要 API Key。若未来使用私有看板，只能从调用方传入凭据，不能写入 Skill 文件或仓库。

Roadmap

Discord 和 Reddit 采集只有在实现真实客户端、凭据边界、限流处理和离线测试后才能加入“已支持”范围。在此之前，相关数据必须由用户另行提供并注明来源。

View source ↗

File metadata

name: roblox-game-data-scraper
description: 从 Roblox 游戏的公开 Trello 看板采集卡片，并提取物品与兑换码结构化数据。适用于无需登录的公开看板资料整理和 JSON 数据准备。
metadata:
  keywords: roblox, trello, public board, data scraping, game data, codes, items

View original text

---
name: roblox-game-data-scraper
description: 从 Roblox 游戏的公开 Trello 看板采集卡片，并提取物品与兑换码结构化数据。适用于无需登录的公开看板资料整理和 JSON 数据准备。
metadata:
  keywords: roblox, trello, public board, data scraping, game data, codes, items
---

# Roblox Trello Game Data Scraper

这个 Skill 只提供公开 Trello 看板采集能力。使用 [resources/trello_scraper.py](resources/trello_scraper.py) 调用 Trello 公共 API，读取列表和卡片并提取物品与兑换码。

## 已实现范围

- 通过看板 ID 获取公开 Trello 看板的列表与卡片。
- 从名称包含 `item`、`weapon`、`accessory` 或 `equipment` 的列表提取物品。
- 从名称包含 `code` 的列表提取兑换码，并根据列表名称判断 Active/Expired。
- 从卡片描述和标签提取稀有度、掉落率、部分属性、获取方式与奖励。
- 将提取结果序列化为 JSON。

解析采用启发式规则。字段没有在卡片中出现时会返回 `None`、空字典或 `Unknown`，不要把缺失值补写成事实。

## 未实现边界

Discord、Reddit、Roblox 游戏内 API、持续监控、类型文件生成和自动部署目前均未实现。它们只属于 roadmap；不要声称已采集这些来源，也不要为它们配置凭据或定时任务。

## 前置条件

- Python 3.8+
- `requests`
- 一个无需登录即可访问的公开 Trello 看板 ID

安装依赖：

```bash
python3 -m pip install requests
```

## 使用流程

1. 从公开看板 URL `https://trello.com/b/<board-id>/...` 取得 `<board-id>`。
2. 在 Python 中实例化 `TrelloScraper` 并调用 `get_board_data(board_id)`。
3. 分别调用 `extract_items(board_data)` 和 `extract_codes(board_data)`。
4. 保留原始来源 URL 和抓取时间，并人工复核启发式解析结果。

```python
import json
from resources.trello_scraper import TrelloScraper

scraper = TrelloScraper()
board_data = scraper.get_board_data("your-public-board-id")
output = {
    "items": [vars(item) for item in scraper.extract_items(board_data)],
    "codes": scraper.extract_codes(board_data),
}
print(json.dumps(output, ensure_ascii=False, indent=2))
```

直接执行脚本会运行文件底部的示例看板，并在当前目录写入 `trello_data.json`。通用工作流应导入 `TrelloScraper`，显式提供自己的看板 ID 和输出位置。

## 输出字段

物品记录包含：

- `name`
- `category`
- `rarity`
- `drop_rate`
- `stats`
- `obtain_method`
- `description`

兑换码记录包含：

- `code`
- `reward`
- `status`
- `notes`

## 错误与数据边界

- 私有、删除或不存在的看板会由 `requests` 的 HTTP 错误终止。
- Trello 卡片格式变化可能降低提取完整度；应保留原始卡片内容以便复核。
- 公开访问不需要 API Key。若未来使用私有看板，只能从调用方传入凭据，不能写入 Skill 文件或仓库。

## Roadmap

Discord 和 Reddit 采集只有在实现真实客户端、凭据边界、限流处理和离线测试后才能加入“已支持”范围。在此之前，相关数据必须由用户另行提供并注明来源。

Review the source

Skill source recorded

Skill instructions are recorded. This is not a runtime test, safety guarantee or compatibility certification.

Review before install: Avoid automatic install

License: MIT

Dependency or permission surface needs review
Permission surface may require sandboxing
No explicit rate limiting or retry logic for Trello API calls.
The example board ID is hardcoded in the script's __main__ block, which may lead to unintended execution if run directly.
Quality score needs review
Permission surface needs review: secrets or environment access, shell or command execution
Dependency/runtime risk: command execution surface, credential or environment access
Permission surface: secrets or environment access, shell or command execution

Open full audit

Listed tools are metadata hints, not tested compatibility. Agent prompts are suggested handoffs.

Start with one small task

1Read the source. Confirm the input, expected output, dependencies and permissions.
2Ask your agent for a plan. Approve setup and any costs before running a small isolated test.
3Check the output and changed files. Report only what actually ran; keep the source revision for reproduction.

Source & usage notes

IndexedAI Reviewed

Repository metadata and review signals are advisory. Popularity, source discovery and successful execution are different facts.

Source repository: kennyzir/7deer_skills
License: MIT
Version: Unknown
Last GitHub push: Sep 8, 2026
Registry updated: Sep 11, 2026
Instruction path: roblox-game-data-scraper/SKILL.md @ 4f7776559cf0

Version reported in registry metadata; check source releases before relying on it.

Quality

72/100

Strong

Trust

56/100

Agent access

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 install API LLM text format Open manifest Auto-resolve Plan

More details

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    "eval": "https://www.openagentskill.com/api/agent/evals?slug=kennyzir-roblox-game-data-scraper&task=Use%20roblox-game-data-scraper%20in%20an%20agent%20workflow&max_risk=medium",
    "resolve": "https://www.openagentskill.com/api/agent/resolve?task=Use%20roblox-game-data-scraper%20in%20an%20agent%20workflow&agent=codex&max_risk=medium",
    "receipt": "https://www.openagentskill.com/api/agent/receipt?task=Use%20roblox-game-data-scraper%20in%20an%20agent%20workflow&agent=codex&max_risk=medium&format=text",
    "install": "https://www.openagentskill.com/api/skills/kennyzir-roblox-game-data-scraper/install",
    "manifest": "https://www.openagentskill.com/api/registry/manifest/kennyzir-roblox-game-data-scraper"
  }
}

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Creator: kennyzir
Source: kennyzir/7deer_skills
Indexed by: OpenAgentSkill community index

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[![Listed on OpenAgentSkill](https://www.openagentskill.com/api/badge/kennyzir-roblox-game-data-scraper?metric=listed&label=Listed)](https://www.openagentskill.com/skills/kennyzir-roblox-game-data-scraper?ref=github&utm_source=github&utm_medium=referral&utm_campaign=creator_badge)
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[![OpenAgentSkill Audit](https://www.openagentskill.com/api/badge/kennyzir-roblox-game-data-scraper?metric=audit&label=Audit)](https://www.openagentskill.com/skills/kennyzir-roblox-game-data-scraper/audit)
[![Agent Proven](https://www.openagentskill.com/api/badge/kennyzir-roblox-game-data-scraper?metric=proven&label=Agent%20Proven)](https://www.openagentskill.com/skills/kennyzir-roblox-game-data-scraper?ref=github&utm_source=github&utm_medium=referral&utm_campaign=creator_badge)

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