.claude/skills/云指建站SEO优化助手1 structural issue
- error: name must contain lowercase ASCII letters, numbers and single hyphens only.
SKILL.md
Runtime, accounts, dependencies, permissions, network behavior and task quality remain untested.
网站 SEO 体检与优化流水线 skill。当用户需要对一个网站(通用站点)做 SEO 健康体检、逐维度分析(关键词/Title/Description/Heading/URL/内链/Schema/可索引性/页面)、生成优化方案、执行低风险修改、对高风险修改请求确认、复检并输出 SEO Score 时使用。内置零依赖 Python 抓取分析脚本,可输出结构化报告与按风险分级的优化建议。
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/云指建站SEO优化助手SKILL.mdRuntime, accounts, dependencies, permissions, network behavior and task quality remain untested.
.agents/skills/云指建站SEO优化助手SKILL.mdRuntime, accounts, dependencies, permissions, network behavior and task quality remain untested.
skills/云指建站SEO优化助手SKILL.mdRuntime, 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 @hsqduron/seo-assistantclawhub inspect @hsqduron/seo-assistant --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.
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sha256:89175b82ec0e8e7d8fc95fc40b0b6d5195bd1460d485c309c1d784ef2c095ca2references/cms-writeback.mdreferences/mcp-tools.mdreferences/risk-classification.mdreferences/scoring-model.mdreferences/seo-metrics.mdscripts/requirements.txtscripts/seo_audit.pyskill-card.mdSKILL.mdInitial release of YunZhi SEO Audit (云指建站SEO优化助手): - Provides a full website SEO audit and optimization pipeline with per-dimension analysis (keywords, Title, Description, Heading, URL, internal links, Schema, indexability, page). - Automatically generates an actionable optimization plan based on risk grading and applies low-risk fixes; high-risk changes require user confirmation. - Includes a zero-dependency Python crawler/analysis script, outputting structured reports and risk-graded suggestions. - Supports both standard websites (direct crawling) and MCP-based CMS platforms (safe offline analysis with strict credential handling and writeback constraints). - Ensures compliance with SEO best practices, safety protocols, data integrity, and explicit user confirmations for sensitive actions.