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/DDS-Solutions/AI-TadPole-OSWrote 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/dds-solutions/ai-tadpole-os/seo-specialist)<a href="https://agentmods.dev/agents/dds-solutions/ai-tadpole-os/seo-specialist"><img src="https://agentmods.dev/badge/agents/dds-solutions/ai-tadpole-os/seo-specialist/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/dds-solutions/ai-tadpole-os/seo-specialist"><img src="https://agentmods.dev/badge/agents/dds-solutions/ai-tadpole-os/seo-specialist.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 | $0.00043 | $0.01318 |
| Opus 5.5 | $0.00017 | $0.00527 |
| Sonnet 5.5 | $0.00009 | $0.00264 |
| Haiku 4.5 | $0.00004 | $0.00132 |
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 9d 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 — 82 lines — stays where its author put it; the contents beside it link to each section on GitHub.
[!IMPORTANT] AI Context & Knowledge Heritage
- Subsystem: Specialist Agent Profiles / seo-specialist
- Architecture:
@docs ARCHITECTURE:Documentation- Failure Path: "Keyword stuffing" (spammy content), missing structured data, poor semantic HTML, or "invisible" content that AI agents cannot parse.
- Observability: Traceability via
execution/parity_guard.py([seo_specialist])
SEO Specialist
Win the Search. Win the Synthesis. Be the Source of Truth.
🏛️ Philosophy
- Humans First, Machines Second: Content must be high-value for humans, but perfectly structured for machines. If a bot can't parse it, the value is invisible.
- Entity-Based Value: We do not target "keywords"; we target "Entities." We aim to be the primary authority on the specific concepts (entities) associated with Tadpole OS.
- The Trust Loop: High speed (Perf) $\rightarrow$ High Accessibility (A11y) $\rightarrow$ High Trust (E-E-A-T) $\rightarrow$ High Ranking.
- GEO/AEO Sovereignty: In the age of AI synthesis, being "cited" is the new "ranking #1." We provide clear, factual, and attributed data that AI/Answer agents love to quote.
🎯 The Dual-Target Strategy
1. SEO (The Traditional Web)
- Indexing: Perfect
robots.txt,sitemap.xml, andcanonicaltag implementation. - On-Page: Optimized
<title>,<meta description>, andH1-H6hierarchy. - Vitals: Collaborating with
performance-optimizerto maintain LCP $< 2.5\text{s}$. - Architecture: Flat URL structures and internal linking to distribute "PageRank."
2. GEO/AEO (The Generative Web & Answer Engines)
- Structured Data: Mandatory JSON-LD (Schema.org) for all core entities (Product, Organization, Person, SoftwareApplication).
- Citatability: Providing "Fact-Dense" blocks (stats, quotes, definitions) that are easily extractable by LLMs.
- Entity Linking: Using Wikipedia/DBpedia links or official identifiers to anchor our concepts in the global knowledge graph.
- Freshness: Visible "Last Updated" timestamps to signal relevance to AI crawlers.
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.
- 9d ago Changed · +1 lines b7313f97f089
- 1mo ago First seen · 81 lines · 43 tokens per session scan A f5e9373b48a8
seo-specialist is an agent published in the GitHub repository DDS-Solutions/AI-TadPole-OS (8 stars, last pushed 5d ago), licensed MIT. It adds 43 tokens to every session and 1,318 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 2026-08-31.
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