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 OpenClaudia/openclaudia-skills --skill ahrefs-researchgit clone --depth 1 https://github.com/OpenClaudia/openclaudia-skillsWrote 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/openclaudia/openclaudia-skills/ahrefs-research)<a href="https://agentmods.dev/skills/openclaudia/openclaudia-skills/ahrefs-research"><img src="https://agentmods.dev/badge/skills/openclaudia/openclaudia-skills/ahrefs-research/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/openclaudia/openclaudia-skills/ahrefs-research"><img src="https://agentmods.dev/badge/skills/openclaudia/openclaudia-skills/ahrefs-research.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector warn
SkillSpector: 1 finding, up to medium
These are SkillSpector’s own severities. On a checked sample its high-severity flags on skills were ~96% false positives — a documented command, a public API, a “never do X” rule — so we show them as a caution to read, not a verdict. Why →
- medium Data Exfiltration · line 88 Data is being sent to an external URL. This could be legitimate telemetry or data exfiltration. Manual review is recommended.Fix: Verify the destination URL is trusted and necessary. Remove or replace with documented APIs. Ensure no secrets, tokens, or PII are transmitted.
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 | $0.00084 | $0.01883 |
| Opus 5 | $0.00042 | $0.00941 |
| Sonnet 5 | $0.00017 | $0.00377 |
| Haiku 4.5 | $0.00008 | $0.00188 |
Grade A, and why
ahrefs-python 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.
How it starts
The opening of the file, as written. The whole thing — 212 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Ahrefs Python SDK Skill
Overview
The Ahrefs API provides programmatic access to Ahrefs SEO data. The official Python SDK (ahrefs-python) provides typed request and response models for all endpoints, auto-generated from the OpenAPI spec.
Key capabilities:
- Site Explorer - Backlinks, organic keywords, domain rating, traffic, referring domains
- Keywords Explorer - Keyword research, volumes, difficulty, related terms
- Rank Tracker - SERP monitoring, competitor tracking
- Site Audit - Technical SEO issues, page content, page explorer
- Brand Radar - AI brand mentions, share of voice, impressions
- SERP Overview - Search result analysis
- Batch Analysis - Bulk domain/URL metrics via POST
Installation
pip3 install git+https://github.com/ahrefs/ahrefs-python.git
Requires Python 3.11+. Dependencies: httpx, pydantic.
API Method Discovery
The SDK has 52 methods across 7 API sections. The built-in search tool is the fastest way to find the right method — it returns matching method signatures, parameters, and return types directly, so there's no need to scan through a large reference.
Python (preferred when already in a Python context):
from ahrefs.search import search_api_methods
# Returns formatted text with method signatures, parameters, and return types
print(search_api_methods("domain rating"))
# Filter by API section and limit results
print(search_api_methods("backlinks", section="site-explorer", limit=3))
CLI (preferred when exploring from the terminal):
# Ensure python3 points to the interpreter where ahrefs-python is installed:
# which python3
# python3 -c "import ahrefs"
python3 -m ahrefs.api_search "domain rating"
python3 -m ahrefs.api_search "backlinks" --section site-explorer --limit 3
python3 -m ahrefs.api_search "batch" --json
python3 -m ahrefs.api_search --sections # list all API sections
IMPORTANT RULES
- ALWAYS use the
ahrefs-pythonSDK. DO NOT make rawhttpx/requestscalls to the Ahrefs API. - ALWAYS pass dates as strings in
YYYY-MM-DDformat (e.g."2025-01-15"). - ALWAYS use
selecton list endpoints to request only the columns you need. List endpoints return all columns by default, which wastes API units and increases response size. - USE context managers (
with/async with) for client lifecycle management. - NEVER hardcode API keys in source code. Use the
AHREFS_API_KEYenvironment variable or your preferred secrets mechanism. - The client handles retries (429, 5xx, connection errors) automatically. DO NOT implement your own retry logic on top of the SDK.
What ships with it
2 files 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 · 212 lines · 84 tokens per session scan A 9276e442b731
ahrefs-python is a skill published in the GitHub repository OpenClaudia/openclaudia-skills (687 stars, last pushed 2d ago), licensed MIT. It adds 84 tokens to every session and 1,883 once invoked, about $0.0004 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 2026-08-30.
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