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Midas Skill — Self-Learning Wealth Extraction Engine
作者
realteamprinz
· GitHub ↗
· v1.0.0
· MIT-0
146
总下载
0
收藏
0
当前安装
1
版本数
在 OpenClaw 中安装
/install midas
功能描述
Midas Skill — Turn Your Repeated Orders Into Gold. A self-learning wealth extraction engine that takes the mundane, repetitive information streams of your da...
安全使用建议
Before installing or using this skill, consider the following: 1) Privacy scope — the skill is designed to aggregate highly sensitive personal data (chats, browsing history, photos, receipts). Only provide data you are comfortable having stored and analyzed across sessions. 2) Ask the developer (or platform) where Midas stores its cumulative memory, how to view exported personal data, and how to delete it permanently. 3) Avoid giving the skill credentials (Slack tokens, browser sync access, cloud keys) — prefer pasting sanitized excerpts instead of granting connector access. 4) Confirm whether the skill sends data to external endpoints or third-party services; the SKILL.md does not document any network endpoints. 5) If you need the capability but want lower risk, limit inputs to de-identified samples and remove PII before submitting. 6) If you have strict privacy or regulatory constraints (workplace data, customer PII, health/financial data), do not use this skill until its data handling and retention policies are explicit. 7) The skill is instruction-only (no install), which reduces code-execution risk, but the high potential for long-term, cross-context aggregation of sensitive data is the primary concern.
功能分析
Type: OpenClaw Skill
Name: midas
Version: 1.0.0
The Midas skill is a comprehensive prompt-based tool designed to act as a financial analyst and business coach. It instructs the AI agent to analyze user-provided data—including Slack messages, browsing history, and photo rolls—to identify "money signals," "demand gaps," and "arbitrage windows." While the skill encourages the processing of highly sensitive personal information, the instructions in SKILL.md and README.md explicitly state that data must be provided manually by the user and that the agent cannot access private accounts or APIs independently. There is no evidence of malicious code, data exfiltration to external endpoints, or prompt-injection tactics intended to subvert user control; the skill's behavior is entirely consistent with its stated purpose of wealth signal extraction.
能力标签
能力评估
Purpose & Capability
The skill claims to extract 'wealth signals' from Slack threads, photos, browsing history, purchases, etc. Asking for those types of inputs is coherent with the stated purpose. However, the skill also claims it is 'self-learning' and 'does not reset between sessions' (cumulative memory) but the registry metadata and spec include no declared storage, persistence mechanism, or required config/credentials for connectors — that gap is noteworthy.
Instruction Scope
SKILL.md instructs the agent to accept ANY daily-life input (Slack threads, screenshots, photos, browsing logs, purchase logs) and to cross-reference them across sessions. Instructions are open-ended (feed Midas 'ANY' input) and give the agent broad discretion to aggregate, retain, and reuse sensitive personal data. The doc does not specify consent, retention limits, anonymization, or where data will be stored, nor does it limit which files/paths or external connectors may be used — this grants the skill wide implicit data-collection scope and creates a privacy risk.
Install Mechanism
There is no install spec and no code files to execute; the skill is instruction-only. That reduces supply-chain risk because nothing is downloaded or installed. The manifest contains many reference content files (methodology, examples) but no executable artifacts.
Credentials
The skill requests no environment variables, binaries, or config paths, which is consistent with an instruction-only skill that expects the user to supply inputs. That said, its functionality (mining Slack, browsing history, photos) would commonly require connectors or tokens in practice; the absence of any declared connector/credential is either an intentional design to have users paste data manually or an omission. The omission reduces transparency about where sensitive credentials would be needed if the skill were later extended.
Persistence & Privilege
SKILL.md explicitly states 'Midas does not reset between sessions. Every input builds on every previous input.' The skill metadata does not declare persistence, storage locations, or data lifecycle controls. Persistent aggregation of personal data across sessions is a significant privilege. While the skill does not request 'always: true', the combination of autonomous invocation default and the instruction to retain data increases the blast radius if the agent stores or reuses sensitive inputs without explicit user controls.
如何使用
- 确保已安装 OpenClaw（本地或 Docker 部署）
- 在对话框中输入安装命令：
/install midas - 安装完成后，直接呼叫该 Skill 的名称或使用
/midas触发 - 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
Midas Skill 1.0.0 — Initial Release
- 6-dimension wealth extraction framework (Money Engine, Deal Architecture, Investment Thesis, Risk Profile, Leverage Model, Exit Pattern)
- Self-learning engine with evolution tracking
- 3 complete examples: Elon Musk, Warren Buffett, Peter Thiel
- Signal extraction framework and deal analysis template
- Works with OpenClaw + Claude Code
元数据
常见问题
Midas Skill — Self-Learning Wealth Extraction Engine 是什么？
Midas Skill — Turn Your Repeated Orders Into Gold. A self-learning wealth extraction engine that takes the mundane, repetitive information streams of your da... 它是一个面向 Claude Code / OpenClaw 的 AI Agent Skill 插件，目前累计下载 146 次。
如何安装 Midas Skill — Self-Learning Wealth Extraction Engine？
在 OpenClaw 或 Claude Code 对话框中运行命令「/install midas」即可一键安装，无需额外配置。
Midas Skill — Self-Learning Wealth Extraction Engine 是免费的吗？
是的，Midas Skill — Self-Learning Wealth Extraction Engine 完全免费，采用 MIT-0 许可证，可自由下载、安装和使用。
Midas Skill — Self-Learning Wealth Extraction Engine 支持哪些平台？
Midas Skill — Self-Learning Wealth Extraction Engine 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 Midas Skill — Self-Learning Wealth Extraction Engine？
由 realteamprinz（@realteamprinz）开发并维护，当前版本 v1.0.0。
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