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/DDS-Solutions/AI-TadPole-OSnpx agentmods add skills/dds-solutions/ai-tadpole-os/geo-fundamentalsWrote 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/dds-solutions/ai-tadpole-os/geo-fundamentals)<a href="https://agentmods.dev/skills/dds-solutions/ai-tadpole-os/geo-fundamentals"><img src="https://agentmods.dev/badge/skills/dds-solutions/ai-tadpole-os/geo-fundamentals/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/dds-solutions/ai-tadpole-os/geo-fundamentals"><img src="https://agentmods.dev/badge/skills/dds-solutions/ai-tadpole-os/geo-fundamentals.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 | $0.00033 | $0.01118 |
| Opus 5.5 | $0.00013 | $0.00447 |
| Sonnet 5.5 | $0.00007 | $0.00224 |
| Haiku 4.5 | $0.00003 | $0.00112 |
Grade A, and why
geo-fundamentals 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.
How it starts
The opening of the file, as written. The whole thing — 95 lines — stays where its author put it; the contents beside it link to each section on GitHub.
[!IMPORTANT] AI Context & Knowledge Heritage
- Subsystem: Agent Skills Registry / geo-fundamentals
- Architecture:
@docs ARCHITECTURE:Documentation- Failure Path: AI-invisible content, "ghost" pages (no citations), or outdated metadata leading to LLM hallucinations.
- Observability: Traceability via
execution/parity_guard.py([SKILL])
🌍 Generative Engine Optimization (GEO) Protocol
Purpose: Ensure all public-facing web content, technical documentation, and landing pages are discoverable, citable, and trusted by AI search engines (Perplexity, ChatGPT, Gemini, Claude). Workflow Binding: Used during
/deploy,/create, and theSHIPbehavioral mode.
🎯 Progressive Disclosure & L3 Reference Index
Read REQUIRED core workflow below; consult deep L3 Reference Guides on demand:
| L3 Reference Guide / Tool | Purpose | Trigger / When to Load |
|---|---|---|
references/geo_citation_magnets.md |
Production templates for JSON-LD schemas, statistical formulas, and FAQ definitions | Writing or refactoring public pages for AI engine discoverability |
scripts/geo_checker.py |
Component-aware AI citation readiness scanner and audit engine | Automated page audit or --test validation |
🔄 The GEO Operational Loop
You MUST follow this sequence for every public page:
1. The Audit (geo_checker.py)
Before claiming content is citation-ready, run the verification tool:
python .agent/skills/geo-fundamentals/scripts/geo_checker.py src/pages
Score Thresholds:
- Score $< 60%$: 🔴 Critical Failure. Content lacks structured data and is invisible to AI scrapers.
- Score $60-80%$: 🟡 Sub-optimal. Missing key citation magnets or direct answer definitions.
- Score $> 80%$: 🟢 Sovereign Standard. High probability of AI citation and indexing.
What ships with it
2 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.
- 12d ago Changed · -44 lines · +15 tokens per session 209611e7460a
- 1mo ago First seen · 139 lines · 18 tokens per session scan A bc14558309d2
geo-fundamentals is a skill published in the GitHub repository DDS-Solutions/AI-TadPole-OS (8 stars, last pushed today), licensed MIT. It adds 33 tokens to every session and 1,118 once invoked, about $0.0001 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 2026-09-03.
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