.claude/skills/ljxpRuntime, accounts, dependencies, permissions, network behavior and task quality remain untested.
使用蓝鲸选品 API 和本地脚本分析 Mercado Libre 商品、类目、关键词、价格、竞品、店铺、品牌、目录链接、运费和汇率。
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/ljxpRuntime, accounts, dependencies, permissions, network behavior and task quality remain untested.
.agents/skills/ljxpRuntime, accounts, dependencies, permissions, network behavior and task quality remain untested.
skills/ljxpRuntime, 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 @nlikeso/skills-2clawhub inspect @nlikeso/skills-2 --version 0.1.1This 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.
sha256:9b1fc449e323808e9e6c62f0a6e5ddb846c1599f91071ccc681f5fee545e9f2creferences/api_reference.mdreferences/api/catalogs.mdreferences/api/category.mdreferences/api/items.mdreferences/api/keywords.mdreferences/api/rate-shipping.mdreferences/api/sellers.mdreferences/api/trends.mdreferences/api/users.mdreferences/search_results_template.htmlscripts/catalog_search.pyscripts/category_tree.pyscripts/get_item_info.pyscripts/search_items.pyscripts/search_keywords.pyscripts/search_sellers.pyscripts/trends.pyscripts/utils.pyskill-card.mdSKILL.md蓝鲸选品(ljxp)2.0.0 版(skills-2)重大更新: - 全面梳理 Mercado Libre 选品分析 9 步标准流程,细化澄清意图与参数核查,避免积分浪费。 - 明确 10 类业务功能、必填参数、脚本路径与调用规范,严格区分本地与后端参数处理。 - 强化异常与空结果应对流程(调用红线),要求Stop→查→列原因与积分预估→等待用户确认。 - 统一积分消耗统计规范,完整明细并主动告知余额不足与充值入口。 - 所有流程每步均有标准提问/输出模板,结构化指引与后续推荐,支持 HTML 结果生成选项。 - 新增各分析场景完整参数规则与操作细则,极大提升准确率与用户体验。