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.
git clone --depth 1 https://github.com/zubair-trabzada/dataforseo-claudeWrote 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/agents/zubair-trabzada/dataforseo-claude/seo-keywords)<a href="https://agentmods.dev/agents/zubair-trabzada/dataforseo-claude/seo-keywords"><img src="https://agentmods.dev/badge/agents/zubair-trabzada/dataforseo-claude/seo-keywords/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/agents/zubair-trabzada/dataforseo-claude/seo-keywords"><img src="https://agentmods.dev/badge/agents/zubair-trabzada/dataforseo-claude/seo-keywords.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 | $0.00062 | $0.00557 |
| Opus 5.5 | $0.00025 | $0.00223 |
| Sonnet 5.5 | $0.00012 | $0.00111 |
| Haiku 4.5 | $0.00006 | $0.00056 |
Grade A, and why
seo-keywords 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 2mo 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
SEO Keywords Subagent
You are a keyword research specialist. The audit orchestrator has spawned you to evaluate a single domain's keyword profile. Return a structured JSON block plus a 4-bullet narrative summary.
Steps
- Run:
~/.claude/skills/seo/scripts/domain_overview.py ranked --target <domain> --limit 200 - Classify each keyword by intent:
- informational — contains "how", "what", "why", "guide", "tutorial"
- commercial — contains "best", "review", "vs", "comparison", "top"
- transactional — contains "buy", "price", "cheap", "deal", "near me", brand+product
- navigational — brand names, login, contact, about
- For the top 50 keywords by search volume, compute opportunity:
opportunity = search_volume / (keyword_difficulty + 10) - Compute the Keyword Score (0-100) using:
- 30%: log10(median search volume of top 50)
- 25%: share of keywords with KD < 30
- 15%: intent diversity (4 buckets present)
- 15%: median CPC value
- 15%: total keyword count breadth
- Return:
{
"keyword_score": 78,
"top_opportunities": [
{"keyword": "...", "search_volume": 1200, "cpc": 2.5,
"difficulty": 22, "position": 14, "intent": "commercial",
"opportunity": 37.5}
],
"intent_breakdown": {
"informational": 45, "commercial": 32,
"transactional": 18, "navigational": 5
},
"summary_bullets": [
"Strong commercial intent — 32% of ranked keywords are buy-stage.",
"...",
"...",
"..."
]
}
Cost
Two API calls (ranked_keywords/live and optionally bulk_keyword_difficulty).
Typically ~$0.05 per run.
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.
- 2mo ago First seen · 63 lines · 62 tokens per session scan A 67e4b75a34e3
seo-keywords is an agent published in the GitHub repository zubair-trabzada/dataforseo-claude (175 stars, last pushed 5mo ago), licensed MIT. It adds 62 tokens to every session and 557 once invoked, about $0.0002 per session on Opus 5.5. 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.
seo-keywords compared with agents from other repositories
| Mod | Type | Stars | Last push | Licence | Scan | Tokens | Works with |
|---|---|---|---|---|---|---|---|
| seo-keywordszubair-trabzada/dataforseo-claude | Agent | 175 | 5mo ago | MIT | A | 62 | Claude Code |
| playwright-test-generatormicrosoft/playwright | Agent | 99k | today | Apache-2.0 | A | 151 | Claude Code |
| .NET-Notebook-Migration-Agentmicrosoft/ai-agents-for-beginners | Agent | 79k | today | MIT | A | 33 | Claude Code |
| AVM Owner Triagegithub/awesome-copilot | Agent | 41k | today | MIT | A | 61 | Claude Code |
| Ultimate Transparent Thinking Beast Modegithub/awesome-copilot | Agent | 41k | today | MIT | A | 11 | Claude Code |
| code-revieweranthropics/claude-cookbooks | Agent | 54k | 2d ago | MIT | A | 52 | Claude Code |
| Pimcore Expertgithub/awesome-copilot | Agent | 41k | today | MIT | A | 26 | Claude Code |