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Prediction Market Data

作者 bibaofeng · GitHub ↗ · v1.0.0 · MIT-0
cross-platform ✓ 安全检测通过
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在 OpenClaw 中安装
/install prediction-market-data
功能描述
Cross-platform prediction market data via AIsa API. Query Polymarket and Kalshi markets, prices, orderbooks, candlesticks, positions, and trades. Use when us...
安全使用建议
This skill is coherent with its description, but before installing: (1) Confirm you trust the AIsa service (the API key you provide will be sent to api.aisa.one and queries incur cost). (2) Review the full script (ensure methods like _raw_get are implemented and there are no unexpected network POSTs or other remote endpoints). (3) Only supply wallet addresses if you intend to fetch public on‑chain activity (these queries are read-only but can reveal activity). If any of those checks raise concerns, do not provide your AISA_API_KEY and inspect the code more closely.
功能分析
Type: OpenClaw Skill Name: prediction-market-data Version: 1.0.0 The skill bundle provides a legitimate Python client for accessing prediction market data from Polymarket and Kalshi via the AIsa API (api.aisa.one). The code in `scripts/prediction_market_client.py` uses standard Python libraries for read-only HTTPS GET requests and properly sanitizes parameters. No evidence of malicious intent, data exfiltration, or prompt injection was found.
能力评估
Purpose & Capability
Name/description match the declared requirements: python3 and AISA_API_KEY are appropriate for a client that queries the AIsa API. The commands and code are about querying Polymarket and Kalshi data and do not request unrelated services or credentials.
Instruction Scope
SKILL.md directs the agent to run the included Python script which issues HTTPS GETs to api.aisa.one. The instructions and code appear limited to read-only market queries. Note: the client exposes endpoints to look up wallet activity/positions when a wallet address is supplied — these are read-only but can reveal on-chain info if you provide addresses. Also the code references a _raw_get call in the shown snippet; review the full file to confirm there are no additional network endpoints or unexpected POSTing logic (the provided excerpt shows only GETs to api.aisa.one).
Install Mechanism
No install spec; this is instruction-only plus a Python script. That minimizes disk-write/install risk. Required binary is only python3.
Credentials
Only a single secret (AISA_API_KEY) is required, which is appropriate for an API client. Be aware the key is sent as a Bearer token to api.aisa.one; you must trust the AIsa service and the cost model ($0.01/query) before providing the key.
Persistence & Privilege
Skill is not always-enabled and does not request system-wide privileges or other skills' configuration. It does not attempt to persist or escalate privileges in the manifest.
如何使用
  1. 确保已安装 OpenClaw(本地或 Docker 部署)
  2. 在对话框中输入安装命令:/install prediction-market-data
  3. 安装完成后,直接呼叫该 Skill 的名称或使用 /prediction-market-data 触发
  4. 根据 Skill 的参数说明提供必要输入,即可获得结构化输出
版本历史
v1.0.0
- Initial release of the prediction-market-data skill. - Query Polymarket and Kalshi markets for prices, orderbooks, candlesticks, positions, and trades via AIsa API. - Supports searching for prediction markets, getting market odds, wallet PnL, and cross-platform market comparison. - All commands require an AISA_API_KEY and are fully read-only; no trading capability or wallet access. - Sports market queries included (e.g., NBA, NFL) with simple date-based commands.
元数据
Slug prediction-market-data
版本 1.0.0
许可证 MIT-0
累计安装 0
当前安装数 0
历史版本数 1
常见问题

Prediction Market Data 是什么?

Cross-platform prediction market data via AIsa API. Query Polymarket and Kalshi markets, prices, orderbooks, candlesticks, positions, and trades. Use when us... 它是一个面向 Claude Code / OpenClaw 的 AI Agent Skill 插件,目前累计下载 101 次。

如何安装 Prediction Market Data?

在 OpenClaw 或 Claude Code 对话框中运行命令「/install prediction-market-data」即可一键安装,无需额外配置。

Prediction Market Data 是免费的吗?

是的,Prediction Market Data 完全免费,采用 MIT-0 许可证,可自由下载、安装和使用。

Prediction Market Data 支持哪些平台?

Prediction Market Data 跨平台运行,可在任意部署了 OpenClaw / Claude Code 的环境中使用(cross-platform)。

谁开发了 Prediction Market Data?

由 bibaofeng(@bibaofeng)开发并维护,当前版本 v1.0.0。

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