Agent skill · Data & Analytics

offsite-signal-analyzer

Use when the user asks to "analyze backlinks", "analyze my off-site signals", or "track AI traffic / ChatGPT / Perplexity referrals"; profiles referring domains, anchor-text mix, toxic links, and disavow candidates (backlinks mode) or isolates AI-assistant referral sessions in GA4/GSC/logs and reports their trend, landing pages, and AI-vs-organic conversion (ai-referrals mode). Not for internal links — use site-structure-optimizer; not for keyword positions — use rank-tracker; not for multi-metric stakeholder reports — use performance-monitor. 外链分析/反向链接/AI流量/AI引荐/ChatGPT流量/AI转化

aaron-he-zhugithub.com/aaron-he-zhuGitHub ↗
claude-codecopilotread-onlyApache-2.0
Install
npx skills add aaron-he-zhu/aaron-marketing-skills --skill offsite-signal-analyzer --agent claude-code

Same command for any agent — swap --agent for codex, cursor, copilot.

Facts
Files in the skill folder: 4
SKILL.md size: 17 KB
Bundled scripts: none
Version: 19.1.0
Allowed tools: WebFetch
Requires: Claude Code and compatible agent-skill hosts
Path: seo-geo/evaluate/offsite-signal-analyzer/SKILL.md
Open the folder on GitHub →
Where it comes from
Stars: 2,508
Language: Python
Read our review of the source →

Weekly change comes from our own snapshots, not the repository page — it measures attention, not adoption.

From the SKILL.md

# Off-Site Signal Analyzer Reports the two off-site signal families a domain earns from the outside world: the **backlink profile** (who links to you and how clean those links are) and the **AI-assistant referral channel** (how much traffic AI answers send you and whether it converts). Both are CITE-adjacent — they feed [CITE](../../../references/cite-domain-rating.md) Citation and Trust items — but they come from different data sources joined only at the domain level, so the skill keeps them behind a mode selector. **Mode set:** | Mode | Data source | Answers | |------|-------------|---------| | `backlinks` (default) | `~~link database` export / pasted CSV | Referring domains, anchor mix, toxic-link share, disavow candidates, competitor link gaps | | `ai-referrals` | GA4 / GSC / server-log export | AI-assistant referral sessions, trend, top landing pages, AI-vs-organic conversion | **The seam**: backlinks answers "is this domain worth trusting as a source?" from the link graph; ai-referrals answers "are AI engines already sending citations-as-traffic?" from your own analytics. Never blend the two datasets into one number — report each mode's figures under its own heading and let `

What's inside
Steps it walks through
  1. Quick Start
  2. Skill Contract
  3. Handoff Summary
  4. Scope Guard
  5. Data Sources
  6. Decision Gates
  7. Instructions
  8. Mode: backlinks
  9. Mode: ai-referrals
  10. Save Results
  11. Reference Materials
  12. Next Best Skill
Ships with 3 files
  • references/backlinks-analysis-templates.md
  • references/link-quality-rubric.md
  • references/outreach-templates.md
More from aaron-marketing-skills
All skills →
About this skill
What does the offsite-signal-analyzer skill do?

Use when the user asks to "analyze backlinks", "analyze my off-site signals", or "track AI traffic / ChatGPT / Perplexity referrals"; profiles referring domains, anchor-text mix, toxic links, and disavow candidates (backlinks mode) or isolates AI-assistant referral sessions in GA4/GSC/logs and reports their trend, landing pages, and AI-vs-organic conversion (ai-referrals mode). Not for internal links — use site-structure-optimizer; not for keyword positions — use rank-tracker; not for multi-metric stakeholder reports — use performance-monitor. 外链分析/反向链接/AI流量/AI引荐/ChatGPT流量/AI转化

How do I install it?

Run `npx skills add aaron-he-zhu/aaron-marketing-skills --skill offsite-signal-analyzer --agent claude-code` — it drops the skill into your project so the agent can pick it up. Swap the --agent value for codex, cursor or copilot if you use one of those.

Where does this skill come from?

From aaron-he-zhu/aaron-marketing-skills, a repository with 2,508 stars. We read it straight from the repository tree rather than a submitted listing, so what you see here is what is actually published.

Is a popular skill a good skill?

Not necessarily. Stars measure attention, not adoption — a repository can trend for a week and be abandoned. That is why we show the weekly change from our own snapshots next to the total, instead of a single flattering number.

Keep going