Getting it into your agent
It runs from inside its repository, so the clone comes first — what it calls does not travel with the file alone.
git clone --depth 1 https://github.com/seoskillsai/seo-skills-ainpx agentmods add skills/seoskillsai/seo-skills-ai/seo-dataforseoWrote 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/seoskillsai/seo-skills-ai/seo-dataforseo)<a href="https://agentmods.dev/skills/seoskillsai/seo-skills-ai/seo-dataforseo"><img src="https://agentmods.dev/badge/skills/seoskillsai/seo-skills-ai/seo-dataforseo/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/seoskillsai/seo-skills-ai/seo-dataforseo"><img src="https://agentmods.dev/badge/skills/seoskillsai/seo-skills-ai/seo-dataforseo.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector pass
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 | $0.00035 | $0.00221 |
| Opus 5 | $0.00017 | $0.00111 |
| Sonnet 5 | $0.00007 | $0.00044 |
| Haiku 4.5 | $0.00003 | $0.00022 |
Grade A, and why
seo-dataforseo 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.
What it actually says
DataForSEO Live SERP & Keyword Data Connector
Set DATAFORSEO_LOGIN and DATAFORSEO_PASSWORD in the environment. python scripts/dataforseo_api.py "<keyword>" calls the live SERP endpoint. Missing credentials return UNAVAILABLE (no sample rows).
This is first-party HTTP in this repo. Ahrefs / SE Ranking / Profound remain third-party MCP servers you install separately.
🛠️ CLI Commands
# Fetch live Google SERP for target keyword
python scripts/dataforseo_api.py --query "ai seo tools" --location "United States"
# Pull live backlink summary
python scripts/dataforseo_api.py --domain "example.com" --action "backlinks"
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 · 28 lines · 35 tokens per session scan A c69753bebd8e
seo-dataforseo is a skill published in the GitHub repository seoskillsai/seo-skills-ai (15 stars, last pushed 2d ago), licensed MIT. It adds 35 tokens to every session and 221 once invoked, about $0.0002 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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