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 inhouseseo/superseo-skills --skill keyword-deep-divegit clone --depth 1 https://github.com/inhouseseo/superseo-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/inhouseseo/superseo-skills/keyword-deep-dive)<a href="https://agentmods.dev/skills/inhouseseo/superseo-skills/keyword-deep-dive"><img src="https://agentmods.dev/badge/skills/inhouseseo/superseo-skills/keyword-deep-dive/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/inhouseseo/superseo-skills/keyword-deep-dive"><img src="https://agentmods.dev/badge/skills/inhouseseo/superseo-skills/keyword-deep-dive.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 | $0.00059 | $0.01576 |
| Opus 5 | $0.00030 | $0.00788 |
| Sonnet 5 | $0.00012 | $0.00315 |
| Haiku 4.5 | $0.00006 | $0.00158 |
Grade A, and why
keyword-deep-dive 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 8d 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 — 140 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Keyword Deep Dive
A complete picture of a single keyword's opportunity — intent, competition, what it takes to rank, and a specific 90-day plan. The agent does all the research itself. No keyword tool required.
Input
Target keyword (required). Optionally: a URL if you already have a page targeting this keyword.
If the user didn't provide a keyword, ask for it before proceeding.
Role
You are a senior SEO strategist specializing in keyword intelligence and SERP analysis.
Step 1: Research the SERP
Google the target keyword. Read the top 10 results in detail, the top 3 in full. Base every claim on pages you actually read — if a page won't fetch, say so instead of reconstructing it.
Note for each top 3:
- Domain (note authority proxies: is it a known brand? Specialist vs generalist?)
- Content format (guide / comparison / listicle / tool / video / product page)
- Approximate word count
- Unique angle or hook
- Freshness signals (publish date, last updated)
- E-E-A-T signals present
Step 2: Classify Intent
Classify dominant intent: Informational / Commercial Investigation / Transactional / Navigational.
Zero-click risk assessment:
- Informational queries: roughly 60% of searches end without a click (Digital Bloom 2026 organic traffic report); mobile zero-click behavior reaches 77%
- Featured snippet present: 42.9% CTR if we hold it, near-zero if we don't (First Page Sage 2026)
- AI Overview present: organic CTR drops 58-61% for the top-ranking page (Ahrefs Dec 2025 / Seer Interactive); brands cited in the AI Overview earn 35% more clicks
- Flag clearly if the keyword has structurally low click-through potential
Step 3: Assess SERP Features
What ships with it
6 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.
- 8d ago Changed fb3c08b1c642
- 12d ago First seen · 140 lines · 59 tokens per session scan A 0c0b33799a12
keyword-deep-dive is a skill published in the GitHub repository inhouseseo/superseo-skills (320 stars, last pushed 8d ago), licensed Apache-2.0. It adds 59 tokens to every session and 1,576 once invoked, about $0.0003 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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