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Garden Temp Market (GTM)

作者 Potdealer · GitHub ↗ · v1.0.1
cross-platform ⚠ suspicious
1093
总下载
0
收藏
0
当前安装
2
版本数
在 OpenClaw 中安装
/install prediction-market
功能描述
Participate in Base's GTM by betting if today's 18:00 UTC garden temperature will be higher or lower than yesterday's, sharing winnings from the pot.
安全使用建议
This skill appears to be a straightforward helper for a Base-based temperature prediction market. Before installing or using it: (1) do not paste your private key into untrusted places — the instructions require a signing key to send bets (cast/Bankr), so use a secure wallet or signing service; (2) verify the contract addresses and keeper/trust model yourself — the README warns the keeper submits settlement values off-chain; (3) the bundle contains Foundry/forge-std helper files (including a script that fetches cheatcodes from GitHub if you run it) — only run included scripts if you trust their behavior and source; (4) avoid reusing sensitive credentials (PRIVATE_KEY, BASESCAN_API_KEY) unless you control them and understand the transaction consequences. If you want additional assurance, ask the skill author for a canonical homepage/repo or an audit of the contract and keeper workflow.
功能分析
Type: OpenClaw Skill Name: prediction-market Version: 1.0.1 The skill bundle is classified as suspicious due to the presence of shell commands in `SKILL.md` that directly handle sensitive data (private keys) via the `--private-key $KEY` argument for `cast send`. While this is a common pattern for CLI tools and is plausibly needed for blockchain interaction, it represents a significant vulnerability surface if the AI agent's execution environment or prompt handling is not robust against shell injection or insecure credential management. Additionally, the `lib/forge-std/foundry.toml` file contains broad filesystem write permissions (`fs_permissions = [{ access = "read-write", path = "./" }]`) which, although intended for development/testing, could be exploited if the agent were to execute arbitrary `forge` commands. There is no clear evidence of intentional malicious behavior, but these risky capabilities warrant a 'suspicious' classification.
能力评估
Purpose & Capability
Name, files, and SKILL.md all describe interacting with a daily temperature prediction market on Base (contract address, RPC, cast examples, Bankr payloads). The included source, README, and PLAYERS.md are consistent with that purpose. No unrelated credentials or binaries are requested.
Instruction Scope
Runtime instructions are narrowly focused on reading contract state (cast call) and submitting bets (cast send or Bankr JSON). They reference using a private key (e.g. $KEY / YOUR_PRIVATE_KEY) to sign transactions — expected for on‑chain actions but not declared in requires.env. The README explicitly warns about the trusted keeper model. No instructions ask the agent to read arbitrary host files or exfiltrate data.
Install Mechanism
No install spec is provided (instruction-only skill at runtime), so nothing is automatically downloaded or executed by an installer. The repo includes Foundry/forge-std files and scripts, but those are static file contents in the bundle — they are not executed unless a user/agent explicitly runs them.
Credentials
The skill declares no required environment variables (none in requires.env), which is proportionate. However SKILL.md and README show usage examples that require a private key (PRIVATE_KEY, $KEY) and a Basescan API key for deployment — the skill does not declare these, so a user/agent must supply them externally to place bets or deploy. This is expected for blockchain interaction but is an important user responsibility.
Persistence & Privilege
The skill does not request always:true, does not declare persistence or modify other skills, and has normal autonomous-invocation settings. There is no evidence it attempts to persist credentials or modify global agent config.
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
  3. 安装完成后,直接呼叫该 Skill 的名称或使用 /prediction-market 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
v1.0.1
Rebranded to Garden Temp Market (GTM)
v1.0.0
- Initial release: DailyTempMarket lets users bet on whether the daily 18:00 UTC temperature on Base will be higher or lower than the previous day. - Supports full market state queries, individual data endpoints, and bet placement via Bankr API or cast. - Details game rules, schedule (betting closes at 12:00 UTC, settles 18:00 UTC), and agent strategy example. - Supports up to 200 bettors per side, 0.001 ETH minimum bet, and automatic rollovers for ties. - Integrates temperature data from SensorNet; full event interface provided for tracking bets, settlements, and claims.
元数据
Slug prediction-market
版本 1.0.1
许可证
累计安装 0
当前安装数 0
历史版本数 2
常见问题

Garden Temp Market (GTM) 是什么?

Participate in Base's GTM by betting if today's 18:00 UTC garden temperature will be higher or lower than yesterday's, sharing winnings from the pot. 它是一个面向 Claude Code / OpenClaw 的 AI Agent Skill 插件,目前累计下载 1093 次。

如何安装 Garden Temp Market (GTM)?

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

Garden Temp Market (GTM) 是免费的吗?

是的,Garden Temp Market (GTM) 完全免费(开源免费),可自由下载、安装和使用。

Garden Temp Market (GTM) 支持哪些平台?

Garden Temp Market (GTM) 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 Garden Temp Market (GTM)?

由 Potdealer(@potdealer)开发并维护,当前版本 v1.0.1。

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