tingyun-agent-skill-monetization@1.0.0
VERIFIEDPublisher claims: "很多人做出了技能包就卡在"怎么卖出去"。这套顾问按上市顺序讲:先选平台(看分成比例、看流量、看是否要实名)、再定价格与免费/付费的边界、然后准备上市必须的素材(标题、简介、Logo、截图、示例),最后是推广位怎么铺。每一步给检查表,附上各平台分成结构对照和一份"上架前 12 项自检"。 为想把 AI 技能包上架变现的开发者梳理多平台分成策略、定价、素材与推广要点,输出可执行的上市清单。 技术触发词「技能变现」。口语触发词「I built a skill package. Which platform should I list it on first?」。输出可直接使用的清单、对照表与行动项。仅作规划与清单辅助,不构成法律/税务/医疗专业意见,需人工复核。 Many people build a skill package and stall at how to sell it. This advisor follows the listing order: choose a platform first by revenue share, traffic and identity requirements, then set the price and the boundary between free and paid, then prepare the assets a listing actually needs, and finally decide where the promotion link goes. Each step ships as a checklist, with a platform revenue-share comparison and a twelve-item pre-listing self-check. Turns a skill package into a listed product: platform revenue-share strategy, pricing, asset requirements and promotion checklist. Covers: 技能变现, 多平台, 产品化. Use when the user asks to tingyun-agent-skill-monetization. Tags: 技能变现, 多平台, 产品化. English edition and bundles: https://www.agensi.io/r/CREATOR8796142 (catalogue: https://github.com/Tingyun01/tingyun-skills)." Observed in sandbox: no network, touches nothing outside the project, writes no memory.
Is [email protected] safe to install?
KillerSkills ran it in the KillerSkills honeypot sandbox (1 scenario) on 2026-11-02 and scored it 93/100 (Verified). It did what it claims and nothing else we could detect: no undeclared network egress, no credential reads, no persistent instruction writes. Summary: no network, touches nothing outside the project, writes no memory.
Behavior trace
Honeypot run · 0 s · 1 scenarios · 0 deviationsStatic findings
No findings across 331 lines in 6 files.