seo-ahrefs-new-links

seo-ahrefs-new-links is a skill for Claude Code from lionkiii/claude-seo-skills. It costs 63 tokens per session (1,002 once invoked), scanned C, original, MIT.

A backlink-tracking tool that shows referring websites newly linking to a domain or no longer linking to it. Ahrefs is a service that measures links and search visibility.

In plain words
What is it for?
Use it to monitor new referring domains, investigate lost links, and review each referring domain’s rating, link count, and dates.
Why use it?
It removes the need to compare backlink reports over time to find recent gains and losses. The results focus on links acquired during the last 30 days and lost referring domains.

Skill for Claude Code

Written for Claude Code: allowed-tools in frontmatter. Also seen: reads .claude/ paths; mentions subagents.

Part of the claude-seo-skills plugin — 51 skills, 6 agents shipped together

Good fit Use it to monitor new referring domains, investigate lost links, and review each referring domain’s rating, link count, and dates.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/lionkiii/claude-seo-skills/seo-ahrefs-new-links
Install

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.

Any agent
npx skills add lionkiii/claude-seo-skills --skill seo-ahrefs-new-links
Clone the repo
git clone --depth 1 https://github.com/lionkiii/claude-seo-skills

Made for: Claude Code.

Or install claude-seo-skills, the plugin that ships this one along with the rest of its 51 skills, 6 agents.

Wrote 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.

agentmods badge for seo-ahrefs-new-links

README.md
[![agentmods](https://agentmods.dev/badge/skills/lionkiii/claude-seo-skills/seo-ahrefs-new-links/github.svg)](https://agentmods.dev/skills/lionkiii/claude-seo-skills/seo-ahrefs-new-links)
Your own site
<a href="https://agentmods.dev/skills/lionkiii/claude-seo-skills/seo-ahrefs-new-links"><img src="https://agentmods.dev/badge/skills/lionkiii/claude-seo-skills/seo-ahrefs-new-links/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.

agentmods 80×15 button for seo-ahrefs-new-links

Your own site · 80×15
<a href="https://agentmods.dev/skills/lionkiii/claude-seo-skills/seo-ahrefs-new-links"><img src="https://agentmods.dev/badge/skills/lionkiii/claude-seo-skills/seo-ahrefs-new-links.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 63 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,002 The whole file, excluding the scripts and references it only reads on demand.
Security scan C 2 findings. A grade says what 26 rules found in the file — not that it is safe.
Origin original No closer match found in the catalogue.
Token cost

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.

ModelPer sessionOnce invoked
Fable 5.1 $0.00063 $0.01002
Opus 5 $0.00032 $0.00501
Sonnet 5 $0.00013 $0.00200
Haiku 4.5 $0.00006 $0.00100

Measured 12d ago against content hash 2484cba8a491, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-12, from the pricing page.

Security

Grade C, and why

seo-ahrefs-new-links scanned grade C with 2 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 12d 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.

Reads agent configuration directoriesmediumAgent snooping

.claude/, .codex/, .gemini/ hold keys, settings and other credentials a mod has no legitimate need for.

- Verify with: cat ~/.claude/mcp.json | grep -i ahrefs

Reads MCP configurationmediumAgent snooping

mcp.json carries server URLs and auth tokens; reading it lets a mod discover and abuse other integrations.

- Verify with: cat ~/.claude/mcp.json | grep -i ahrefs
skills/seo-ahrefs-new-links/SKILL.md · 127 lines

How it starts

The opening of the file, as written. The whole thing — 127 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Fetches referring domain history from Ahrefs, filtered to show recently acquired domains (last 30 days) and any lost referring domains.

References

@skills/seo/references/mcp-degradation.md @skills/seo/references/ahrefs-api-reference.md

Inputs

  • domain: The bare domain to analyze (e.g., example.com). Strip https://, http://, and trailing slashes before passing to Ahrefs tools.

MCP Check

Before proceeding, verify Ahrefs MCP is available:

  1. Use ToolSearch with query +ahrefs
  2. If tools are returned → Ahrefs MCP is available, proceed to Execution
  3. If no tools returned → display the Ahrefs MCP error template from references/mcp-degradation.md and stop

Execution

Step 1 — Call Referring Domains

Call mcp__claude_ai_ahrefs__site-explorer-referring-domains with:

  • target: the bare domain (e.g., example.com)

Returns per referring domain: domain, domain_rating, backlinks count, first_seen date (ISO 8601), and optionally lost_date for domains no longer linking.

Step 2 — Filter by Date (Client-Side)

The tool may not support native date filtering. If no native date filter exists:

  • Compute the cutoff date: current date minus 30 days
  • Filter entries where first_seen >= cutoff_date → these are new referring domains
  • Separate entries where lost_date is present → these are lost referring domains

Step 3 — Sort and Summarize

  • New referring domains: sort by domain_rating descending (highest DR new links first)
  • Lost referring domains: sort by domain_rating descending (highest DR losses first)
  • Calculate net change: new count minus lost count

Output Format

## Ahrefs New & Lost Links: example.com (Last 30 Days)

### Net Change Summary
| Metric | Value |
|--------|-------|
| New Referring Domains | +12 |
| Lost Referring Domains | -3 |
| Net Change | +9 |

### New Referring Domains (Last 30 Days)

| Domain | DR | Backlinks from Domain | First Seen |
|--------|----|-----------------------|------------|
| highdr-news.com | 71 | 1 | 2026-02-18 |
| industry-blog.io | 58 | 3 | 2026-02-10 |
| partner-site.com | 44 | 2 | 2026-02-05 |

### Lost Referring Domains

| Domain | DR | Lost Date |
|--------|----|-----------|
| old-partner.com | 52 | 2026-01-28 |

### Observations
- Gained 12 new referring domains this month — healthy link velocity
- Lost 3 domains — investigate whether content was removed or sites changed focus
- Highest-DR gain: highdr-news.com (DR 71) — strong editorial link

Read the full file on GitHub · 127 lines

Changes

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.

  1. 12d ago First seen · 127 lines · 63 tokens per session scan C 2484cba8a491

Subscribe to this mod's changes

seo-ahrefs-new-links is a skill published in the GitHub repository lionkiii/claude-seo-skills (20 stars, last pushed 3mo ago), licensed MIT. It adds 63 tokens to every session and 1,002 once invoked, about $0.0003 per session on Opus 5. A static security scan graded it C with 2 findings (reads agent configuration directories, reads mcp configuration). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.

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