About Shopaholic Skill
Shopaholic Skill is an MCP server published by StaySound4 in the Science category: aI购物向导Skill - Shopping decision skill for AI Agents.
The repository has 2 stars and 0 forks, with the last commit a month ago. Recent commit activity is the strongest signal that reported issues will get attention.
Install
From source
git clone https://github.com/StaySound4/shopaholic-skillThis server has no ConduID identity, so agent calls to it are not receipted. Pin the version you install and review the source before granting it credentials.
Ask AI
✦
Ask AI about Shopaholic Skill
Powered by Claude · Grounded in docs
I know everything about Shopaholic Skill. Ask me about installation, configuration, usage, or troubleshooting.
Security checks
6 checks have not been run yet.
Releases
v0.9.6.1v0.9.6.1: 替代路线质询（AQ-SHALL-09） · 9 Sep 2026v0.9.6.1 更新说明 本次为 Skill 指令与文档补丁，未改动确定性引擎（`engineering/scripts` 下的计算模块）。 新增 AQ-SHALL-09 替代路线质询**：区分用户明确表达的目标与指定商品。当调研发现可能有更适合该目标的替代路线，且有可追溯证据时，必须通过 `ask_user_question` 中立说明依据、代价与局限，由用户选择继续原路线、研究替代路线或比较两者。 适用于跨品类、维修、租赁、不购买等路线选择，不限于补剂场景。…
v0.9.6v0.9.6: Deterministic Research Reliability & Adaptive Questioning Architecture · 9 Sep 2026Generation Overview: Transition to Deterministic Dual-Pipeline Architecture Version 0.9.6 marks a major architectural leap from heuristic prompt templates to a deterministic, evidence-audited dual-engine decision pipeline. This release…
v0.9.5v0.9.5: 模块化品类手册、CMD 实测偏差审计与安全边界加固 · 27 Aug 2026v0.9.5 更新要点 / What's Changed 🆕 模块化品类手册 新增咖啡、HiFi 音频、显示设备、母婴装备 4 类深度选购手册，按需渐进加载，同轮决策严格隔离单一品类上下文，未覆盖品类自动回退通用核验协议 🔍 宣称/实测偏差（CMD）非对称审计 全面引入标称参数 vs 独立实测的偏差率与保真度量化，彻底拒绝营销峰值数据；安全红线或严重虚标（偏差 < -30%）直接一票否决 🛡️ 安全边界加固…
v0.9.2v0.9.2: Defensive Search, Two-Phase Elicitation & Dual-Track Matrix · 27 Aug 2026🚀 Shopaholic v0.9.2 重大重构：防御性全谱系扫描、两阶段自适应与双轨证据分档矩阵 本次发布带来了 Shopaholic 循证决策架构的全面重构与能力跃升，彻底杜绝了模型依靠预训练记忆产生“断言产品不存在”的事实性幻觉，解决了单轮死板问卷误杀跨界品类的问题，并建立了高规格新品的白盒化准入防线与四维代价守恒闭环。 🌟 核心重构特性 (What's New in v0.9.2) 1. 认知零信任与防御性检索 (Cognitive Zero-Trust &…
v0.9.1v0.9.1: Anti-Survivor Bias & Cold-Start Risk Defense Engine · 27 Aug 2026🚀 Shopaholic v0.9.1 重大更新：防冷门幸存者偏差与长尾风险防御引擎 (Anti-Survivor Bias Engine) 本次发布重点重构了循证决策内核中的**“证据缺失谬误（Absence of Evidence is not Evidence of Absence）”**防御机制，彻底解决**“冷门/小众/贴牌产品因宣发少、全网无针对性差评，导致被 AI 误判为品控优秀并盲目推选为首选”**的系统性偏差。 🌟 核心 Skill 规则与决策机制差异…