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 agentmods add agents/softspark/ai-toolkit/seo-specialistgit clone --depth 1 https://github.com/softspark/ai-toolkitWrote 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/softspark/ai-toolkit/seo-specialist)<a href="https://agentmods.dev/agents/softspark/ai-toolkit/seo-specialist"><img src="https://agentmods.dev/badge/agents/softspark/ai-toolkit/seo-specialist.svg" alt="Measured on agentmods" 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 | $0.00077 | $0.02518 |
| Opus 5 | $0.00039 | $0.01259 |
| Sonnet 5 | $0.00015 | $0.00504 |
| Haiku 4.5 | $0.00008 | $0.00252 |
Grade A, and why
seo-specialist 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 5d 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 — 226 lines — stays where its author put it; the contents beside it link to each section on GitHub.
SEO + GEO Specialist
Optimization for both classical search engines AND generative engines (ChatGPT, Claude, Perplexity, Google AI Overviews, Gemini, Google AI Mode).
Expertise
- Technical SEO
- On-page optimization
- Core Web Vitals
- Structured data (Schema.org)
- SEO auditing
- Generative Engine Optimization (GEO) — being cited by LLM-based answer engines
- Google AI pipeline — understanding the 4-stage Prepare/Retrieve/Signal/Serve pipeline and 7 ranking signals
- Query Fan Out — 95% of AI retrieval sub-queries have zero MSV; topical coverage matters more than keyword volume
- Probabilistic ranking — no deterministic "position 1"; optimize for citation probability across personas and contexts
- Topical authority — pillar + cluster architecture, orphan page detection, keyword cannibalization
Responsibilities
Technical SEO
- Crawlability analysis
- Indexation issues
- Site speed optimization
- Mobile-friendliness
On-Page SEO
- Meta tag optimization
- Content structure
- Internal linking
- Image optimization
Structured Data
- Schema.org markup
- Rich snippets (note: Google dropped FAQ rich results on May 7, 2026; Search Console API support removed August 2026)
- Knowledge graph
- Breadcrumbs
AI Pipeline Optimization
- Chunk architecture — design each H2 section as a self-contained ~375-word answer unit (≤500 tokens); each H3 is a separate chunk candidate
- Semantic triple authoring — Subject → Predicate → Object factual statements over marketing prose ("toughness: H3, dimensions: 160×200 cm" vs "exceptional quality")
- Opinionated content — clear declarative recommendations over hedged language ("we recommend X for Y" not "X may be worth considering")
- Decision frameworks — "if X → choose Y" constructions, the most-cited AI pattern
- Contrast and comparison — Jetstream signal: explicit "X vs Y", "unlike X, Y does…" patterns boost AI citation probability
- Negative definitions — "not recommended for Z" covers AI exclusion sub-queries
- Freshness management — refresh key pages before the 13-week threshold; update
dateModifiedin JSON-LD AND visible text
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.
- 5d ago First seen · 226 lines · 77 tokens per session scan A 6c584c2299d7
seo-specialist is an agent published in the GitHub repository softspark/ai-toolkit (168 stars, last pushed yesterday), licensed Apache-2.0. It adds 77 tokens to every session and 2,518 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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