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Side Hustle Analyst

作者 Tony Simons · GitHub ↗ · v0.1.0 · MIT-0
cross-platform ✓ 安全检测通过
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当前安装
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在 OpenClaw 中安装
/install side-hustle-analyst
功能描述
Tracks and executes daily steps in a 28-day AI agent side hustle workflow, managing state, logging outcomes, and enforcing approval gates.
安全使用建议
This skill appears coherent with its description, but before installing: (1) run it from a dedicated workspace or container so its reads/writes don't affect other files; (2) open and review state/course-state.json to confirm it doesn't contain surprising data; (3) confirm the agent will prompt for and require operator approval (especially for any spend) and that approvals cannot be auto-bypassed; (4) back up any important files in the chosen workspace, and restrict file permissions so the skill cannot overwrite unrelated data.
功能分析
Type: OpenClaw Skill Name: side-hustle-analyst Version: 0.1.0 The skill bundle defines a structured 28-day workflow for an AI agent to manage 'side hustle' experiments. It focuses on state management (reading/writing to local JSON files like course-state.json) and procedural execution of business phases, with explicit requirements for operator approval before critical actions or spending. No malicious code, data exfiltration, or harmful instructions were identified.
能力评估
Purpose & Capability
The name and description describe a 28-day execution/tracking workflow and the instructions only require reading a canonical state file and writing logs/summaries—these are proportionate and expected for this purpose.
Instruction Scope
SKILL.md explicitly reads state/course-state.json and writes to output/experiment-log/ and output/daily-summaries/. It does not reference other system files, network endpoints, or unrelated environment variables. Caution: because paths are relative, running the skill from an unexpected working directory could read or overwrite files outside an intended workspace—run in a dedicated directory or container and inspect course-state.json before first run.
Install Mechanism
Instruction-only skill with no install spec and no code files — nothing is written to disk by an installer. This is the lowest-risk installation model.
Credentials
No environment variables, binaries, credentials, or config paths are requested beyond the state and output files described in SKILL.md. That matches the skill's functionality.
Persistence & Privilege
The skill maintains persistent state via files in the working directory (course-state.json and output/...). It does not set always:true and defaults to requiring invocation/approval. Ensure the agent's approval prompts cannot be bypassed and that the runtime's file permissions restrict access to only the intended workspace.
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 side-hustle-analyst
  3. 安装完成后,直接呼叫该 Skill 的名称或使用 /side-hustle-analyst 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 of side-hustle-analyst. - Implements structured 28-day Agent Side Hustle School workflow with 6 defined phases. - Maintains persistent state via course-state.json, daily summaries, and experiment logs. - Enforces operator approval at key decision points (e.g., experiment selection, offer pricing, spend). - Automatically logs outcome, score, and rationale after each major action. - Flags blockers that persist for over 48 hours. - Standardizes output file naming conventions for tracking and review.
元数据
Slug side-hustle-analyst
版本 0.1.0
许可证 MIT-0
累计安装 1
当前安装数 1
历史版本数 1
常见问题

Side Hustle Analyst 是什么?

Tracks and executes daily steps in a 28-day AI agent side hustle workflow, managing state, logging outcomes, and enforcing approval gates. 它是一个面向 Claude Code / OpenClaw 的 AI Agent Skill 插件,目前累计下载 167 次。

如何安装 Side Hustle Analyst?

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

Side Hustle Analyst 是免费的吗?

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

Side Hustle Analyst 支持哪些平台?

Side Hustle Analyst 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 Side Hustle Analyst?

由 Tony Simons(@asimons81)开发并维护,当前版本 v0.1.0。

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