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 psyduckler/aeo-skills --skill aeo-ai-overview-simulatorgit clone --depth 1 https://github.com/psyduckler/aeo-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/psyduckler/aeo-skills/aeo-ai-overview-simulator)<a href="https://agentmods.dev/skills/psyduckler/aeo-skills/aeo-ai-overview-simulator"><img src="https://agentmods.dev/badge/skills/psyduckler/aeo-skills/aeo-ai-overview-simulator/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/psyduckler/aeo-skills/aeo-ai-overview-simulator"><img src="https://agentmods.dev/badge/skills/psyduckler/aeo-skills/aeo-ai-overview-simulator.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 | $0.00108 | $0.02044 |
| Opus 5 | $0.00054 | $0.01022 |
| Sonnet 5 | $0.00022 | $0.00409 |
| Haiku 4.5 | $0.00011 | $0.00204 |
Grade A, and why
aeo-ai-overview-simulator 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 11d 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 — 178 lines — stays where its author put it; the contents beside it link to each section on GitHub.
AEO AI Overview Simulator
Source: github.com/psyduckler/aeo-skills Part of: AEO Skills Suite
Simulate Google AI Overviews by running prompts through the same model that powers them — Gemini 3 Flash with Google Search grounding.
Why This Works
Google's AI Overviews and Search AI Mode are powered by Gemini 3 Flash (gemini-3-flash-preview). When you run a prompt through this model with google_search grounding enabled, you're simulating exactly what happens when a user triggers an AI Overview in Google Search. The model searches the web, selects sources, and generates a grounded answer — the same pipeline Google uses.
Influence happens at retrieval, not inside the model. You can't edit training data, but you can enter the "candidate set" the model selects from when it searches. Gemini is search-first — it searches before nearly every answer, making it more influenceable than GPT. This simulator reveals the recurring retrieval set — the sources, themes, and response patterns the model consistently draws from.
Running 20 samples per prompt captures the probabilistic nature of AI responses. A source cited in 15/20 runs is reliably featured; one cited in 3/20 is marginal. This frequency data is far more actionable than a single snapshot.
Requirements
- Gemini API key (free from aistudio.google.com) — set as
GEMINI_API_KEYenv var - Python 3.9+
- No pip dependencies (stdlib only)
Usage
# Basic — simulate an AI Overview for a query
GEMINI_API_KEY="$GEMINI_API_KEY" python3 scripts/simulate.py "best project management tools for startups"
# Track a specific domain
GEMINI_API_KEY="$GEMINI_API_KEY" python3 scripts/simulate.py "best project management tools for startups" --domain monday.com
# With response text diffing — see stable core vs volatile insertion points
GEMINI_API_KEY="$GEMINI_API_KEY" python3 scripts/simulate.py "best project management tools for startups" --domain monday.com --diff
# More runs for higher confidence
GEMINI_API_KEY="$GEMINI_API_KEY" python3 scripts/simulate.py "best project management tools for startups" --domain monday.com --runs 40
# JSON output for programmatic use
GEMINI_API_KEY="$GEMINI_API_KEY" python3 scripts/simulate.py "best project management tools for startups" --output json
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.
- 11d ago First seen · 178 lines · 108 tokens per session scan A 0462656bfc1b
aeo-ai-overview-simulator is a skill published in the GitHub repository psyduckler/aeo-skills (11 stars, last pushed 3mo ago), licensed MIT. It adds 108 tokens to every session and 2,044 once invoked, about $0.0005 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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