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 onfire7777/universal-ai-skills-library --skill ahrefs-automationgit clone --depth 1 https://github.com/onfire7777/universal-ai-skills-libraryWrote 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/onfire7777/universal-ai-skills-library/ahrefs-automation)<a href="https://agentmods.dev/skills/onfire7777/universal-ai-skills-library/ahrefs-automation"><img src="https://agentmods.dev/badge/skills/onfire7777/universal-ai-skills-library/ahrefs-automation/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/onfire7777/universal-ai-skills-library/ahrefs-automation"><img src="https://agentmods.dev/badge/skills/onfire7777/universal-ai-skills-library/ahrefs-automation.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 | $0.00043 | $0.01986 |
| Opus 5 | $0.00022 | $0.00993 |
| Sonnet 5 | $0.00009 | $0.00397 |
| Haiku 4.5 | $0.00004 | $0.00199 |
Grade A, and why
ahrefs-automation 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 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.
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.
This is a copy
100% identical to Ahrefs Automation — 2 lines differ, which has more behind it and is treated as the original. This page carries a canonical link to it rather than competing with it.
How it starts
The opening of the file, as written. The whole thing — 178 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Ahrefs Automation
Run Ahrefs SEO analytics directly from Claude Code. Analyze backlink profiles, research keywords, track domain authority over time, audit organic keyword rankings, and batch-analyze multiple URLs without leaving your terminal.
Toolkit docs: composio.dev/toolkits/ahrefs
Setup
- Add the Composio MCP server to your configuration:
https://rube.app/mcp - Connect your Ahrefs account when prompted. The agent will provide an authentication link.
- Most tools require a
target(domain or URL) and acountrycode (ISO 3166-1 alpha-2). Some also require adateinYYYY-MM-DDformat.
Core Workflows
1. Site Explorer Metrics
Retrieve comprehensive SEO metrics for a domain including backlink counts, referring domains, organic keyword rankings, and traffic estimates.
Tool: AHREFS_RETRIEVE_SITE_EXPLORER_METRICS
Key parameters:
target(required) -- domain or URL to analyzedate(required) -- metrics date inYYYY-MM-DDformatcountry-- ISO country code (e.g.,us,gb,de)mode-- scope:exact,prefix,domain, orsubdomains(default)protocol--both,http, orhttpsvolume_mode--monthlyoraverage
Example prompt: "Get Ahrefs site metrics for example.com as of today in the US"
2. Historical Metrics Tracking
Track how a domain's SEO metrics have changed over time for trend analysis and competitive benchmarking.
Tools: AHREFS_RETRIEVE_SITE_EXPLORER_METRICS_HISTORY, AHREFS_DOMAIN_RATING_HISTORY
For full metrics history:
target(required) -- domain to trackdate_from(required) -- start date inYYYY-MM-DDdate_to-- end datehistory_grouping--daily,weekly, ormonthly(default)select-- columns likedate,org_cost,org_traffic,paid_cost,paid_traffic
For Domain Rating (DR) history:
target(required),date_from(required),date_to,history_grouping
Example prompt: "Show me the monthly Domain Rating history for example.com over the last year"
What ships with it
1 file beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.
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.
- 12d ago First seen · 178 lines · 43 tokens per session scan A 0f549426c897
ahrefs-automation is a skill published in the GitHub repository onfire7777/universal-ai-skills-library (16 stars, last pushed yesterday), licensed MIT. It adds 43 tokens to every session and 1,986 once invoked, about $0.0002 per session on Opus 5. A static security scan graded it A with 0 findings. It is 100% identical to Ahrefs Automation, differing in 2 lines, and is treated as a copy.
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