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SimpleFunctions

作者 patrickliu0077 · GitHub ↗ · v0.1.0 · MIT-0
cross-platform ⚠ suspicious
114
总下载
0
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0
当前安装
1
版本数
在 OpenClaw 中安装
/install simplefunctions
功能描述
SimpleFunctions — AI-native prediction market runtime for Kalshi & Polymarket. Thesis tracking, edge scanning, position monitoring, and trade execution via C...
安全使用建议
This skill appears to be a legitimate CLI wrapper for prediction-market trading, but the SKILL.md and registry metadata disagree: the runtime docs reference sensitive credentials (SF_API_KEY, KALSHI_API_KEY_ID, KALSHI_PRIVATE_KEY_PATH) and a Telegram bot token that are not listed in the registry. Before installing or providing credentials: 1) Verify the npm package @spfunctions/cli on npmjs.org (author, downloads, recent versions) and inspect its source code (or the GitHub repo) to ensure it doesn't exfiltrate keys. 2) Prefer least-privilege keys: use API keys with only read or simulated/trading scopes for testing, and avoid placing long-lived private keys on disk if possible. 3) Do not grant trading credentials until you confirm how the agent will obtain explicit confirmation before executing real trades (or run in manual mode). 4) Treat KALSHI_PRIVATE_KEY_PATH as highly sensitive — keep it in a protected location or use a dedicated key with limited permissions. 5) If you rely on Telegram alerts, consider using a bot account with limited exposure. 6) Ask the publisher to correct the registry metadata so required env vars and install steps are explicit. If you cannot validate the npm package source, run the CLI in an isolated environment or avoid supplying live trading credentials.
功能分析
Type: OpenClaw Skill Name: simplefunctions Version: 0.1.0 The skill bundle describes a CLI tool for prediction market analysis and trading on Kalshi and Polymarket via the @spfunctions/cli npm package. All documented commands, such as market scanning, position monitoring, and trade execution, are consistent with the stated purpose, and the use of environment variables for API keys (e.g., KALSHI_PRIVATE_KEY_PATH) is standard for this type of financial utility. No evidence of malicious intent, data exfiltration, or prompt injection was found in SKILL.md or _meta.json.
能力评估
Purpose & Capability
The skill is a prediction-market trading/runtime which reasonably requires the 'sf' CLI and market API credentials (Kalshi, SimpleFunctions). However, the registry metadata lists no required environment variables or install spec while the SKILL.md clearly documents SF_API_KEY, KALSHI_API_KEY_ID, KALSHI_PRIVATE_KEY_PATH and an npm install for @spfunctions/cli. That mismatch between declared metadata and the runtime instructions is incoherent and worth questioning.
Instruction Scope
SKILL.md tells the agent to run many sf CLI commands (scan, trade, evaluate, agent, setup) and to configure Telegram alerts. The instructions reference a filesystem private key path (KALSHI_PRIVATE_KEY_PATH) and tokens. While these actions are within the stated domain (trading/monitoring), they give agents/CLI the ability to access local keys and execute trades — scope is broader and higher-risk than the registry claims.
Install Mechanism
Installation is via npm (@spfunctions/cli), which is a common but moderate-risk vector (unreviewed third‑party package). The registry manifest claimed 'No install spec', yet SKILL.md includes an install entry and npm install instructions — another internal inconsistency to verify. No direct downloads or archive extraction are present in the instructions.
Credentials
The SKILL.md requires multiple sensitive items: SF_API_KEY, KALSHI_API_KEY_ID, and a KALSHI_PRIVATE_KEY_PATH (private key file), plus optional Telegram bot token. None of these were declared in the registry 'required env vars' list. Requesting a private key path and trading credentials is high-impact and should be explicitly declared and justified; the omission is suspicious.
Persistence & Privilege
The skill is not set to 'always: true' and is user-invocable only. Autonomous invocation is allowed by default (normal), which combined with trading credentials could permit the agent to place orders without additional human confirmation — this is expected behavior for a trading skill but increases blast radius, so exercise caution when granting credentials.
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 simplefunctions
  3. 安装完成后,直接呼叫该 Skill 的名称或使用 /simplefunctions 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
v0.1.0
Initial release
元数据
Slug simplefunctions
版本 0.1.0
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

SimpleFunctions 是什么?

SimpleFunctions — AI-native prediction market runtime for Kalshi & Polymarket. Thesis tracking, edge scanning, position monitoring, and trade execution via C... 它是一个面向 Claude Code / OpenClaw 的 AI Agent Skill 插件,目前累计下载 114 次。

如何安装 SimpleFunctions?

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

SimpleFunctions 是免费的吗?

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

SimpleFunctions 支持哪些平台?

SimpleFunctions 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 SimpleFunctions?

由 patrickliu0077(@patrickliu0077)开发并维护,当前版本 v0.1.0。

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