Openclaw Skill Money Idea Generator

赚钱灵感生成器 | Money Idea Generator. 自动发现 AI 变现机会，生成可落地的赚钱灵感。支持多平台监控：GitHub、抖音、B站、小红书、Twitter。触发词：赚钱灵感、赚钱机会、AI 变现、商业灵感.

Security Scan

The skill largely does what its description says (multi‑source trend monitoring + idea generation), but there are mismatches between declared requirements and the actual code (calls to a Twitter CLI, Python dependencies, and network endpoints) that merit caution before installing.

Purpose & Capability

The code implements multi‑platform monitoring (GitHub, Douyin, Bilibili, Xiaohongshu, Twitter) and idea generation/asset storage consistent with the description. However, the declared runtime requirements (only python3 and curl) omit other capabilities the code expects (e.g., the 'bird' Twitter CLI and the Python 'requests' package). Use of a non‑official GitHub trending API (api.gitterapp.com) is also present — plausible but nonstandard.

Instruction Scope

SKILL.md describes only the high‑level usage and mentions configuring a GITHUB_TOKEN in config.py. The code itself performs network requests to multiple external endpoints (api.github.com, api.gitterapp.com, api.bilibili.com, various search URLs) and invokes the 'bird' CLI via subprocess.run for Twitter data. The instructions do not call for reading unrelated system files, but they do rely on running external network calls and an external CLI whose presence/credentials may be preconfigured on the host.

Install Mechanism

There is no install spec (the package is effectively distributed as code files). README suggests pip install requests but there is no automated dependency declaration or installer. That means dependencies (requests) and optional CLIs (bird) must be provided by the environment manually — a minor friction and auditing point, but not inherently malicious. No downloads from arbitrary URLs or archive extraction were found.

Credentials

Metadata declares no required environment variables, yet config.py reads GITHUB_TOKEN from the environment (optional). The code may use any credentials that the system CLI 'bird' has access to (the skill calls subprocess.run(['bird', ...]) without declaring it). This mismatch (undeclared optional env usage and reliance on a CLI that may carry credentials) is a proportionality/visibility concern: users should be aware that existing local CLI credentials could be used when the skill runs.

Persistence & Privilege

The skill writes data to a subdirectory in the user's home (~/.openclaw/workspace/memory/money-ideas) to store ideas, executions, and revenue records. This local persistence matches its asset‑pool purpose. always:false and normal autonomous invocation defaults are used (no elevated platform privileges).

What to consider before installing

This skill appears to implement the advertised idea‑generation features, but before installing: 1) Inspect or run the code in a sandbox — there is no automated installer and dependencies (Python 'requests', plus optionally the 'bird' CLI for Twitter) must be present. 2) Check whether you have a local 'bird' CLI configured — the skill calls it via subprocess and that CLI may use stored Twitter credentials; if you don't want that, remove or disable the 'bird' call. 3) If you provide a GitHub token, use a token with minimal scope (read‑only) and understand it's optional; the skill will work without it but with stricter rate limits. 4) Review network endpoints used (api.gitterapp.com, api.bilibili.com, GitHub API and various search URLs) and confirm you are comfortable with the skill making outbound requests. 5) Note the skill will create files under ~/.openclaw/... — review those files and their permissions or change the data_dir in AssetPool if you prefer a different location. If you need low risk, run it locally in an isolated environment or container and avoid supplying additional credentials.

赚钱灵感生成器

自动发现 AI 变现机会，生成可落地的赚钱灵感。

核心功能

1. 多平台监控

• GitHub Trending AI 项目
• 抖音热门话题
• B站科技区视频
• 小红书热门笔记
• Twitter AI trending

2. 变现潜力分析

• 判断项目是否"能赚钱"
• 分析市场需求和竞争
• 给出潜力评分（高/中/低）

3. 灵感生成

• 自动生成赚钱灵感
• 提供具体实现路径
• 估算启动成本和预期收入

4. 资产池管理

• 保存灵感到资产池
• 跟踪执行状态
• 记录实际收益

5. 个性化推荐

• 根据用户偏好推荐
• 按领域分类（AI 工具、SaaS、内容创作）
• 按难度分级（入门/进阶/专业）

使用方式

获取今日赚钱灵感

给我生成一个赚钱灵感
最近有什么赚钱机会？

分析特定项目

分析这个项目能不能赚钱：https://github.com/xxx/xxx

获取热门变现机会

最近有什么 AI 变现机会？

变现潜力判断规则

高潜力特征

• ✅ 解决明确痛点
• ✅ 技术门槛适中
• ✅ 有付费用户验证
• ✅ 可规模化复制
• ✅ 新增星标 > 100/周

低潜力特征

• ❌ 技术门槛太高
• ❌ 市场太小众
• ❌ 已有巨头垄断
• ❌ 需要大量资金
• ❌ 无明确商业模式

赚钱灵感分类

类别	示例	启动成本	预期收入
AI 工具开发	OpenClaw 部署服务	¥500	¥5,000+/月
内容创作	AI 日报订阅	¥0	¥2,000+/月
技术服务	自动化脚本开发	¥0	¥3,000+/月
教育培训	AI 教程课程	¥0	¥10,000+/月
SaaS 产品	AI Agent 平台	¥1,000	¥50,000+/月

配置

在 config.py 中配置：

• GITHUB_TOKEN: GitHub API Token（可选，提高速率限制）
• MIN_STARS: 最小星标数（默认 50）
• CATEGORIES: 关注的领域（默认 AI/LLM/Agent）
• USER_PREFERENCES: 用户偏好（预算、技能、兴趣）