.claude/skills/fore-vip-product-recommendRuntime, accounts, dependencies, permissions, network behavior and task quality remain untested.
通用产品调研与推荐框架(fore.vip)。把模糊的「帮我推荐个产品 / 该买哪个 / 选型对比 / 适合我的 X / 测评对比 / 选型清单 / 帮我选」转化为有依据、可溯源、分层的结构化推荐。覆盖全行业全品类,暂不涉及 CPS 选品。标准流程:① 需求澄清(使用者/诉求/约束/优先级)② 构建评估维度并赋权(必选四维:需求匹配·性能质量·TCO·风险合规;可选:口碑·售后·易用·扩展)③ 多渠道调研采集(竞品清单/评测/社区/官方,标注来源·时间·适用范围)④ 加权评分矩阵横向对比 ⑤ 结构化产出(首选/备选/避坑 + 事实依据 + 来源 + 行动建议)。遵循 fore.vip 核心准则:
These states come from the source or distribution context. None of the entries below are SkillVetAI compatibility test results.
These checks parse the fixed package against dated platform rules. They do not execute the Skill or verify task behavior.
.claude/skills/fore-vip-product-recommendRuntime, accounts, dependencies, permissions, network behavior and task quality remain untested.
.agents/skills/fore-vip-product-recommendRuntime, accounts, dependencies, permissions, network behavior and task quality remain untested.
skills/fore-vip-product-recommendRuntime, accounts, dependencies, permissions, network behavior and task quality remain untested.
This command is recorded from the source ecosystem and resolves the registry's latest release. The fixed release shown on this page should be inspected before adoption.
clawhub install @onsoul/fore-vip-productclawhub inspect @onsoul/fore-vip-product --version 1.0.1This automated, non-executing scan is bound to this release hash. It is not a safety certification and may contain false positives or false negatives.
This is registry-supplied evidence for the recorded release, not an independent SkillVetAI scan. Check the canonical source for the full report, scanner versions, scope, and current moderation state.
The catalog stores hashes and an inventory summary for change detection. It does not republish the package contents.
sha256:f5e3c6178c4a3afcc9a813805d5ac5980fe910ea4220bc55c6aece7631c55bcd_meta.jsonreferences/dimensions.mdskill-card.mdSKILL.md- Major update: Skill repositioned as a general framework for structured product research and recommendation, replacing single-platform catalog queries. - Added a five-step, evidence-based process: requirement clarification, scoring dimension setup, research and sourcing, weighted scoring with matrix comparison, and structured reporting. - Emphasizes fact/analysis/advice separation, source traceability, and minimal questioning—applies to broad product selection, not just AI tools. - New reference: evaluation dimensions and prompts consolidated in included documentation (references/dimensions.md). - Usage boundaries clarified: this skill doesn’t handle purchases, logistics, finance, or medical conclusions; directs those requests to appropriate specialized skills. - Legacy implementation details, API endpoints, and sample requests/responses documentation removed.