بنقرة واحدة
review-evidence-schema
Shared schema for evidence-backed Google review findings and remediation requirements.
التثبيت باستخدام Codex أو Claude انسخ هذا Prompt والصقه في Codex أو Claude أو مساعد آخر ليراجع صفحة Skill ويثبّتها لك.
القائمة
Shared schema for evidence-backed Google review findings and remediation requirements.
التثبيت باستخدام Codex أو Claude انسخ هذا Prompt والصقه في Codex أو Claude أو مساعد آخر ليراجع صفحة Skill ويثبّتها لك.
H5 上线修复技能。通过 HTTP 调用独立的 harness-coding AnyAI 项目,提交审核问题修复任务并轮询 run 完成,返回修复和验证摘要。
H5 上线预审技能。通过 HTTP 调用独立的 harness-google-review AnyAI 项目,提交站点审核/复审任务并轮询 run 完成,返回审核结论和问题清单。
Private skill for site-crawler. Use it to run a scripted browser crawl that supports JS-rendered pages and writes compact checkpointed JSON without page-by-page model control.
AdSense site approval readiness checks for publisher content, navigation, trust, policy, and ad inventory quality.
Common Google AdSense and quality review rejection reasons with evidence-oriented remediation strategies.
Quality rubric for core business, content, product, service, and interactive pages seeking Google/AdSense review readiness.
استنادا إلى تصنيف SOC المهني
| name | review-evidence-schema |
| description | Shared schema for evidence-backed Google review findings and remediation requirements. |
| tags | ["evidence","schema","audit"] |
所有审计输出都应基于证据,避免泛化建议。
推荐 ID:
URL-...:页面证据。LINK-...:断链证据。SIM-...:相似度证据。ADS-...:广告库存证据。TRUST-...:信任页证据。TECH-...:robots/sitemap/ads.txt/canonical/hreflang。SRC-...:源码、模板、数据文件证据。如果证据来自 site-profile.json,可以引用字段路径:
profile.summary.thinPages[3]
profile.duplicatePairs[0]
profile.crossSiteSimilarPages[2]
profile.staticFiles.adsTxt
profile.brokenLinks[10]
| evidence_id | severity | url_or_file | issue | why_it_matters | recommended_fix |
|-------------|----------|-------------|-------|----------------|-----------------|
Severity:
P0:不修不建议提交审核。P1:高概率影响审核或信任。P2:应修但不一定阻塞。P3:增强建议。每条整改需求必须包含:
source_agentsrejection_mappingevidenceaffected_urlsaffected_filescurrent_riskremediationacceptance_criteriaverificationre_review_risk最终 QA 必须输出:
submit_ready: true/false
confidence: 1-10
remaining_p0: N
remaining_p1: N
evidence_profile: path