.claude/skills/ecommerce-carbon-analyzerRuntime, accounts, dependencies, permissions, network behavior and task quality remain untested.
电商碳足迹与成本分析器 - 通过 MCP 协议连接电商数据库,利用 LLM 多轮推理自动计算商品发货的总重量、总成本和总碳排放。支持 BOM 展开、多仓库查询及物流规则计算。
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/ecommerce-carbon-analyzerRuntime, accounts, dependencies, permissions, network behavior and task quality remain untested.
.agents/skills/ecommerce-carbon-analyzerRuntime, accounts, dependencies, permissions, network behavior and task quality remain untested.
skills/ecommerce-carbon-analyzerRuntime, 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 @wedy1106/ecommerce-carbon-analyzerclawhub inspect @wedy1106/ecommerce-carbon-analyzer --version 1.0.0This 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.
sha256:376424fc2b42b980bbd3c5a329db6754ff776bfde93c25c31519dd4e91974635skill-card.mdskill.mdwork4week16JujingClient.pywork4week16JujingServer.pyecommerce-carbon-analyzer 1.0.0 - Major restructuring and cleanup for initial release. - Simplified project layout: added two main scripts (client/server), removed legacy scripts and configs. - New, concise documentation in skill.md replaces older/detailed markdown files. - Project now clearly describes LLM + MCP multi-step logic and usage scenarios. - Streamlined for easier deployment and understanding.