Niche Product Finder
v1.0.0发现蓝海商品和细分市场机会,适合电商选品、副业创业、市场分析师。
Security Scan
OpenClaw
Suspicious
medium confidencePurpose & Capability
The name/description (niche product discovery, 1688 supply recommendations, trend/profit analysis) is plausible for an AI skill. However the metadata declares python3 as a required binary even though SKILL.md contains no scripts, commands, or concrete steps that would need python. This is a mild mismatch (possibly benign oversight) but worth noting.
Instruction Scope
SKILL.md provides high-level behaviors and example prompts but no concrete instructions for where to get market data, how to count competitors, or how to verify 1688 suppliers. The instructions are open-ended and would leave the agent free to perform arbitrary web requests, scraping, or external API calls to satisfy queries — a scope creep risk. The file does not instruct reading local files or env vars, but its vagueness grants broad runtime discretion.
Install Mechanism
This is an instruction-only skill with no install spec and no code files, so nothing is written to disk during installation. That is the lowest-risk install model.
Credentials
No environment variables, credentials, or config paths are requested. The absence of required secrets is appropriate for the described functionality, though it also underscores that the skill does not document how it will access data.
Persistence & Privilege
Skill does not request always:true and has default invocation settings. It does not request persistent system-wide configuration or other skills' secrets. Autonomous invocation is allowed (platform default) but not alarming by itself.
What to consider before installing
This skill reads like a high-level template rather than an implemented integration. Before installing or using it, ask the publisher: (1) which data sources or APIs will the agent use to compute demand, competition counts, and trends? (2) why does metadata require python3 — is there hidden code that will be executed? (3) how are 1688 suppliers discovered and verified, and will any contact/credentials be required? If you need guarantees about privacy or data provenance, insist the maintainer include explicit data-source declarations and any code that will run, or run the skill in a restricted/sandboxed environment. If you’re uncomfortable with the agent performing arbitrary web access on your behalf, do not grant broader agent/network permissions for this skill.Like a lobster shell, security has layers — review code before you run it.
Runtime requirements
🔍 Clawdis
Binspython3
latest
蓝海商品发现技能
发现低竞争高利润的细分市场商品机会。
功能
- 蓝海发现: 低竞争高需求商品
- 趋势分析: 上升期品类预测
- 利润测算: 估算毛利空间
- 竞品分析: 现有卖家数量
- 供应链推荐: 1688 货源对接
使用方式
找蓝海商品:
帮我找 3 个蓝海商品,要求月利润 1 万+
分析品类:
分析一下宠物用品市场的竞争情况
利润测算:
在淘宝卖手机壳能赚多少钱?
找货源:
找一下瑜伽垫的 1688 货源,要求利润 50%+
输出示例
🔍 蓝海商品推荐 (2026-03-24)
1️⃣ 商品:宠物智能饮水机
├─ 市场需求:月搜索 5 万+
├─ 竞争程度:中低(卖家 200+)
├─ 平均售价:¥89-159
├─ 1688 成本:¥35-55
├─ 毛利空间:55-65%
├─ 月销潜力:300-500 件
└─ 预估月利:¥8,000-15,000
💡 机会点:
- 竞争相对较小
- 复购率高(滤芯)
- 可打造品牌
⚠️ 风险:
- 需要一定启动资金
- 物流成本较高
📦 货源推荐:
- 1688 厂家:义乌市 XXX 宠物用品厂
- 起订量:50 件
- 支持一件代发:是
变现模式
- 免费:每日 3 次查询
- 付费 (¥99/月):无限查询 + 详细报告
- 付费 (¥299/月):+ 定制选品 + 货源对接
优势
- ✅ 高客单价
- ✅ B 端用户付费意愿强
- ✅ 可延伸咨询服务
- ✅ 数据驱动决策
声明: 数据仅供参考,投资有风险。
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