Getting it into your agent
One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.
npx skills add 01clauding/claude-seo-skill --skill seo-backlinksgit clone --depth 1 https://github.com/01clauding/claude-seo-skillWrote this? Show the measurements
A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.
[](https://agentmods.dev/skills/01clauding/claude-seo-skill/seo-backlinks)<a href="https://agentmods.dev/skills/01clauding/claude-seo-skill/seo-backlinks"><img src="https://agentmods.dev/badge/skills/01clauding/claude-seo-skill/seo-backlinks/github.svg" alt="Measured on agentmods" height="20"></a>Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.
<a href="https://agentmods.dev/skills/01clauding/claude-seo-skill/seo-backlinks"><img src="https://agentmods.dev/badge/skills/01clauding/claude-seo-skill/seo-backlinks.svg" alt="Reviewed on agentmods" width="80" height="20"></a>What it costs to keep this loaded
Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5.1 | $0.00067 | $0.02110 |
| Opus 5 | $0.00034 | $0.01055 |
| Sonnet 5 | $0.00013 | $0.00422 |
| Haiku 4.5 | $0.00007 | $0.00211 |
Grade A, and why
seo-backlinks scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 10d ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Nothing flagged
None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.
How it starts
The opening of the file, as written. The whole thing — 189 lines — stays where its author put it; the contents beside it link to each section on GitHub.
seo-backlinks — Backlink Analysis & Outreach Strategy
Backlink Profile Analysis
Key Metrics
| Metric | What It Measures | Healthy Range |
|---|---|---|
| Referring Domains | Unique linking domains | Growth >5%/month |
| Domain Rating (DR) | Site authority (Ahrefs 0-100) | Industry-dependent |
| Domain Authority (DA) | Site authority (Moz 0-100) | Industry-dependent |
| Authority Score (AS) | Site authority (SEMrush 0-100) | Industry-dependent |
| Link Velocity | New links per month | Steady growth, no spikes |
| Toxic Score | Harmful link percentage | <5% of total profile |
Anchor Text Distribution
Ideal distribution to avoid over-optimization penalties:
| Anchor Type | Target % | Example | Risk if Over |
|---|---|---|---|
| Branded | 35-45% | "Acme Corp", "acme.com" | Low risk |
| Naked URL | 15-25% | "https://acme.com/page" | Low risk |
| Generic | 10-15% | "click here", "read more" | Low risk |
| Partial match | 10-15% | "best CRM for startups" | Medium risk |
| Exact match | 5-10% | "CRM software" | High risk if >15% |
| LSI/Related | 5-10% | "customer management tool" | Low risk |
Link Attribute Distribution
| Attribute | What It Means | Ideal Mix |
|---|---|---|
| Dofollow | Passes link equity | 60-80% |
| Nofollow | No equity, still valuable for traffic | 15-30% |
| UGC | User-generated (forums, comments) | 5-10% |
| Sponsored | Paid/affiliate links | <5% |
Competitor Backlink Discovery
Inspired by automated competitor backlink monitoring workflows.
Discovery Process
- Identify competitors — 3-5 direct competitors + 2-3 aspirational
- Fetch new backlinks — Weekly lookback window via Backlinks API
- Quality filter — Apply minimum thresholds:
- DR ≥ 30 (adjustable by industry)
- Organic traffic ≥ 500/month
- Relevance score: same industry/topic
- Exclude known PBNs, link farms, directories
- Gap analysis — Identify domains linking to competitors but not you
- Prioritize — Rank by: authority × relevance × acquisition feasibility
What this file has done since we first saw it
Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.
- 10d ago First seen · 189 lines · 67 tokens per session scan A be177920acdb
seo-backlinks is a skill published in the GitHub repository 01clauding/claude-seo-skill (4 stars, last pushed 6mo ago), licensed MIT. It adds 67 tokens to every session and 2,110 once invoked, about $0.0003 per session on Opus 5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-31.
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