Backlink Analyzer
Audit your link profile, find toxic links, and uncover competitor backlink opportunities — this skill evaluates the authority and quality of every referring domain, generates a disavow file for harmful links, and surfaces high-DA link building prospects your competitors already have.
How to start: Analyze backlink profile for [domain] or INLINECODE1
System role: Monitoring layer skill. It turns performance changes into deltas, alerts, and next actions.
SEO & GEO Skills Library · 20 skills for SEO + GEO · ClawHub · skills.sh
When This Must Trigger
Use this when the conversation involves any of these situations — even if the user does not use SEO terminology:
Use this whenever the task needs time-aware change detection, escalation, or stakeholder-ready visibility.
- - Auditing your current backlink profile
- Identifying toxic or harmful links
- Discovering link building opportunities
- Analyzing competitor backlink strategies
- Monitoring new and lost links
- Evaluating link quality for outreach
- Preparing for link disavow
What This Skill Does
- 1. Profile Analysis: Comprehensive backlink profile overview
- Quality Assessment: Evaluates link authority and relevance
- Toxic Link Detection: Identifies harmful links
- Competitor Analysis: Compares link profiles across competitors
- Opportunity Discovery: Finds link building prospects
- Trend Monitoring: Tracks link acquisition over time
- Disavow Guidance: Helps create disavow files
Quick Start
Start with one of these prompts. Finish with a short handoff summary using the repository format in Skill Contract.
Analyze Your Profile
CODEBLOCK0
Find Opportunities
CODEBLOCK1
Detect Issues
CODEBLOCK2
Compare Profiles
CODEBLOCK3
Skill Contract
Expected output: a delta summary, alert/report output, and a short handoff summary ready for memory/monitoring/.
- - Reads: current metrics, previous baselines, alert thresholds, and reporting context from CLAUDE.md and the shared State Model when available.
- Writes: a user-facing monitoring deliverable plus a reusable summary that can be stored under
memory/monitoring/. - Promotes: significant changes, confirmed anomalies, and follow-up actions to
memory/open-loops.md and memory/decisions.md. - Next handoff: use the
Next Best Skill below when a change needs action.
Data Sources
Note: All integrations are optional. This skill works without any API keys — users provide data manually when no tools are connected.
See CONNECTORS.md for tool category placeholders.
With ~~link database + ~~SEO tool connected:
Automatically pull comprehensive backlink profiles including referring domains, anchor text distribution, link quality metrics (DA/DR), link velocity, and toxic link detection from ~~link database. Competitor backlink data from ~~SEO tool for gap analysis.
With manual data only:
Ask the user to provide:
- 1. Backlink export CSV (with source domains, anchor text, link type)
- Referring domains list with authority metrics
- Competitor domains for comparison
- Recent link gains/losses if tracking changes
- Any known toxic or spammy links
Proceed with the full analysis using provided data. Note in the output which metrics are from automated collection vs. user-provided data.
Instructions
When a user requests backlink analysis:
- 1. Generate Profile Overview -- Key metrics (total backlinks, referring domains, DA/DR, dofollow ratio), link velocity (30d/90d/year), authority distribution chart, profile health score.
- 2. Analyze Link Quality -- Top quality backlinks table, link type distribution, anchor text analysis (brand/exact/partial/URL/generic), geographic distribution.
- 3. Identify Toxic Links -- Toxic score, risk indicators by type (spam, PBN, link farms, irrelevant), high-risk links to review, disavow recommendations (domain-level and URL-level).
- 4. Compare Against Competitors -- Profile comparison table (referring domains, DA/DR, velocity, avg link DA), unique referring domains, link intersection analysis, competitor content attracting most links.
- 5. Find Link Building Opportunities -- Link intersection prospects, broken link opportunities, unlinked mentions, resource page opportunities, guest post prospects, priority matrix (effort vs impact).
- 6. Track Link Changes -- New and lost links for last 30 days with DA, type, anchor, dates. Net change and links to recover.
- 7. Generate Backlink Report -- Executive summary, strengths, concerns, opportunities, competitive position, recommended actions (immediate/short-term/long-term), KPIs to track.
> Reference: See references/analysis-templates.md for complete output templates for all 7 steps above.
CITE Item Mapping
When running domain-authority-auditor after this analysis, the following data feeds directly into CITE scoring:
| Backlink Metric | CITE Item | Dimension |
|---|
| Referring domains count | C01 (Referring Domain Volume) | Citation |
| Authority distribution (DA breakdown) |
C02 (Referring Domains Quality) | Citation |
| Link velocity | C04 (Link Velocity) | Citation |
| Geographic distribution | C10 (Link Source Diversity) | Citation |
| Dofollow/Nofollow ratio | T02 (Dofollow Ratio Normality) | Trust |
| Toxic link analysis | T01 (Link Profile Naturalness), T03 (Link-Traffic Coherence) | Trust |
| Competitive link intersection | T05 (Profile Uniqueness) | Trust |
Validation Checkpoints
Input Validation
- - [ ] Target domain backlink data is complete and current
- [ ] Competitor domains specified for comparison analysis
- [ ] Backlink data includes necessary fields (source domain, anchor text, link type)
- [ ] Authority metrics available (DA/DR or equivalent)
Output Validation
- - [ ] Every metric cites its data source and collection date
- [ ] Toxic link assessments include risk justification
- [ ] Link opportunity recommendations are specific and actionable
- [ ] Source of each data point clearly stated (~~link database data, ~~SEO tool data, user-provided, or estimated)
Example
User: "Find link building opportunities by analyzing HubSpot, Salesforce, and Mailchimp"
Output:
CODEBLOCK4
Tips for Success
- 1. Quality over quantity - One DA 80 link beats ten DA 20 links
- Monitor regularly - Catch lost links and toxic links early
- Study competitors - Learn from their link building success
- Diversify your profile - Mix of link types and anchors
- Disavow carefully - Only disavow clearly toxic links
Link Quality and Strategy Reference
Reference: See references/link-quality-rubric.md for the complete link quality scoring matrix (6 weighted factors), toxic link identification criteria, link profile health benchmarks, and disavow file guidance.
Reference: See references/outreach-templates.md for email outreach frameworks, subject line formulas, response rate benchmarks, follow-up sequences, and templates for each link building strategy.
Save Results
After delivering monitoring data or reports to the user, ask:
"Save these results for future sessions?"
If yes, write a dated summary to memory/monitoring/YYYY-MM-DD-<topic>.md containing:
- - One-line headline finding or status change
- Top 3-5 actionable items
- Open loops or anomalies requiring follow-up
- Source data references
If any findings should influence ongoing strategy, recommend promoting key conclusions to memory/hot-cache.md.
Gate check recommended: If toxic link ratio exceeds 15%, recommend running domain-authority-auditor to assess overall domain trust impact.
Reference Materials
- - Link Quality Rubric — Quality scoring matrix with weighted factors and toxic link identification criteria
- Outreach Templates — Email frameworks, subject line formulas, and response rate benchmarks
Next Best Skill
Related Skills in This Suite
seo-content-writer,
geo-content-optimizer,
meta-tags-optimizer,
schema-markup-generator |
|
Optimize |
on-page-seo-auditor,
technical-seo-checker,
internal-linking-optimizer,
content-refresher |
|
Monitor |
rank-tracker,
backlink-analyzer,
performance-reporter,
alert-manager |
|
Cross-cutting |
content-quality-auditor,
domain-authority-auditor,
entity-optimizer,
memory-management |
Install the full suite: See README for one-command install of all 20 skills.
反向链接分析器
审计你的链接档案,发现有害链接,挖掘竞争对手的反向链接机会 — 该技能评估每个引荐域名的权威性和质量,生成有害链接的拒绝文件,并展示你的竞争对手已经拥有的高域名权重建链机会。
如何开始:分析 [域名] 的反向链接档案 或 通过分析 [竞争对手域名] 寻找建链机会
系统角色:监控层技能。它将性能变化转化为差异、警报和后续行动。
SEO & GEO 技能库 · 20 项 SEO + GEO 技能 · ClawHub · skills.sh
何时必须触发
当对话涉及以下任何情况时使用此技能 — 即使使用者未使用 SEO 术语:
当任务需要时间感知的变化检测、升级或面向利益相关者的可见性时使用此技能。
- - 审计当前的反向链接档案
- 识别有害或危险链接
- 发现建链机会
- 分析竞争对手的反向链接策略
- 监控新增和丢失的链接
- 评估外展链接质量
- 准备链接拒绝
该技能的功能
- 1. 档案分析:全面的反向链接档案概览
- 质量评估:评估链接权威性和相关性
- 有害链接检测:识别有害链接
- 竞争对手分析:跨竞争对手比较链接档案
- 机会发现:寻找建链前景
- 趋势监控:追踪随时间变化的链接获取情况
- 拒绝指导:帮助创建拒绝文件
快速开始
从以下提示之一开始。使用 技能合约 中的仓库格式,以简短的交割摘要结束。
分析你的档案
分析 [域名] 的反向链接档案
寻找机会
通过分析 [竞争对手域名] 寻找建链机会
检测问题
检查 [域名] 的有害反向链接
比较档案
比较反向链接档案:[你的域名] vs [竞争对手域名]
技能合约
预期输出:差异摘要、警报/报告输出,以及准备存入 memory/monitoring/ 的简短交割摘要。
- - 读取:从 CLAUDE.md 和共享的 状态模型 中获取当前指标、先前基线、警报阈值和报告上下文(如可用)。
- 写入:面向用户的监控交付物,以及可存入 memory/monitoring/ 的可复用摘要。
- 升级:将重大变化、确认的异常和后续行动升级至 memory/open-loops.md 和 memory/decisions.md。
- 下次交接:当变化需要行动时,使用下方的 下一个最佳技能。
数据源
注意: 所有集成均为可选。此技能无需任何 API 密钥即可工作 — 当未连接工具时,用户手动提供数据。
工具类别占位符请参见 CONNECTORS.md。
已连接 ~~链接数据库 + ~~SEO 工具:
自动从 ~~链接数据库 拉取全面的反向链接档案,包括引荐域名、锚文本分布、链接质量指标(DA/DR)、链接速度和有害链接检测。来自 ~~SEO 工具的竞争对手反向链接数据用于差距分析。
仅手动数据:
要求用户提供:
- 1. 反向链接导出 CSV(包含来源域名、锚文本、链接类型)
- 带权威度指标的引荐域名列表
- 用于比较的竞争对手域名
- 近期链接增减(如追踪变化)
- 任何已知的有害或垃圾链接
使用提供的数据进行完整分析。在输出中注明哪些指标来自自动收集,哪些来自用户提供的数据。
操作说明
当用户请求反向链接分析时:
- 1. 生成档案概览 — 关键指标(总反向链接数、引荐域名数、DA/DR、dofollow 比例)、链接速度(30天/90天/年)、权威度分布图、档案健康评分。
- 2. 分析链接质量 — 高质量反向链接表格、链接类型分布、锚文本分析(品牌/精确/部分/URL/通用)、地理分布。
- 3. 识别有害链接 — 有害评分、按类型划分的风险指标(垃圾、PBN、链接农场、不相关)、需审查的高风险链接、拒绝建议(域名级和 URL 级)。
- 4. 与竞争对手比较 — 档案比较表(引荐域名、DA/DR、速度、平均链接 DA)、独有引荐域名、链接交集分析、吸引最多链接的竞争对手内容。
- 5. 寻找建链机会 — 链接交集前景、失效链接机会、未链接提及、资源页面机会、客座文章前景、优先级矩阵(努力 vs 影响)。
- 6. 追踪链接变化 — 过去 30 天的新增和丢失链接,含 DA、类型、锚文本、日期。净变化和需恢复的链接。
- 7. 生成反向链接报告 — 执行摘要、优势、关注点、机会、竞争地位、建议行动(立即/短期/长期)、需追踪的 KPI。
> 参考:上述 7 个步骤的完整输出模板请参见 references/analysis-templates.md
CITE 项目映射
在此分析之后运行 domain-authority-auditor 时,以下数据直接输入 CITE 评分:
| 反向链接指标 | CITE 项目 | 维度 |
|---|
| 引荐域名数量 | C01(引荐域名量) | 引用 |
| 权威度分布(DA 细分) |
C02(引荐域名质量) | 引用 |
| 链接速度 | C04(链接速度) | 引用 |
| 地理分布 | C10(链接来源多样性) | 引用 |
| Dofollow/Nofollow 比例 | T02(Dofollow 比例正常性) | 信任 |
| 有害链接分析 | T01(链接档案自然性)、T03(链接-流量一致性) | 信任 |
| 竞争性链接交集 | T05(档案独特性) | 信任 |
验证检查点
输入验证
- - [ ] 目标域名反向链接数据完整且最新
- [ ] 已指定用于比较分析的竞争对手域名
- [ ] 反向链接数据包含必要字段(来源域名、锚文本、链接类型)
- [ ] 权威度指标可用(DA/DR 或等效指标)
输出验证
- - [ ] 每个指标均注明数据来源和收集日期
- [ ] 有害链接评估包含风险理由
- [ ] 链接机会建议具体且可操作
- [ ] 每个数据点的来源明确说明(~~链接数据库数据、~~SEO 工具数据、用户提供或估算)
示例
用户:通过分析 HubSpot、Salesforce 和 Mailchimp 寻找建链机会
输出:
markdown
链接交集分析
链接到 2 个以上竞争对手(非你)的网站
| 域名 | DA | HubSpot | Salesforce | Mailchimp | 机会 |
|---|
| g2.com | 91 | ✅ | ✅ | ✅ | 获取列表/评价 |
| capterra.com |
89 | ✅ | ✅ | ✅ | 提交评价 |
| entrepreneur.com | 92 | ✅ | ✅ | ❌ | 投稿客座文章 |
| techcrunch.com | 94 | ✅ | ❌ | ✅ | PR/新闻投稿 |
前 5 个即时机会
- 1. G2.com (DA 91) - 所有竞争对手均已列示
- 行动:创建详细的 G2 档案
- 努力:低
- 影响:高权威度 + 引荐流量
- 2. Entrepreneur.com (DA 92) - 2 个竞争对手有链接
- 行动:投稿特约文章
- 努力:高
- 影响:高权威度 + 品牌曝光
- 3. MarketingProfs (DA 75) - 所有竞争对手均有专题
- 行动:申请专家贡献
- 努力:中
- 影响:相关受众 + 高质量链接
预估影响
如果从前 10 个机会获取链接: