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-prompt-frequency-analyzergit 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-prompt-frequency-analyzer)<a href="https://agentmods.dev/skills/psyduckler/aeo-skills/aeo-prompt-frequency-analyzer"><img src="https://agentmods.dev/badge/skills/psyduckler/aeo-skills/aeo-prompt-frequency-analyzer/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-prompt-frequency-analyzer"><img src="https://agentmods.dev/badge/skills/psyduckler/aeo-skills/aeo-prompt-frequency-analyzer.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 | $0.00065 | $0.00967 |
| Opus 5 | $0.00032 | $0.00483 |
| Sonnet 5 | $0.00013 | $0.00193 |
| Haiku 4.5 | $0.00006 | $0.00097 |
Grade A, and why
aeo-prompt-frequency-analyzer 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 — 77 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Prompt Frequency Analyzer
Run a prompt N times against Gemini with Google Search grounding enabled. Collect and report the frequency of search queries Gemini generates across all runs.
Why Gemini 3 Flash? This is the model that powers Google Search AI Mode and AI Overviews — the most important answer engine for AEO. Running prompts through Gemini 3 Flash with grounding simulates what Google's AI actually does when users ask questions. 20 samples provides reliable frequency distribution for directional insights.
The Retrieval Framework: Influence happens at retrieval, not inside the model. You can't edit a model's training data — but you can enter the "candidate set" the model selects from when it searches the web. Gemini is search-first: it fires real Google Search queries before nearly every answer, making it more influenceable than GPT. This tool reveals the recurring retrieval set — the queries, sources, and themes Gemini consistently draws from. Understanding query frequency is the first step to entering that set.
Usage
GEMINI_API_KEY="$GEMINI_API_KEY" python3 scripts/analyze.py "your prompt here" [--runs 20] [--model gemini-3-flash-preview] [--concurrency 5] [--output text|json]
Run from the skill directory. Resolve scripts/analyze.py relative to this SKILL.md.
Options
--runs N— Number of times to run the prompt (default: 20; 20 samples gives good directional signal)--model NAME— Gemini model to use (default: gemini-3-flash-preview — the model powering Google AI Overviews)--concurrency N— Max parallel API calls (default: 5; keep ≤5 to avoid rate limits)--output text|json— Output format (default: text)
Output
Reports for each unique search query:
- Frequency percentage (how many runs used that query)
- Raw count
- Intent classification — each query is classified as
informational,commercial,navigational, ortransactional - Intent distribution summary — breakdown of query intents across all unique queries
- Top web sources referenced
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 · 77 lines · 65 tokens per session scan A 332ec0dd90be
aeo-prompt-frequency-analyzer is a skill published in the GitHub repository psyduckler/aeo-skills (11 stars, last pushed 3mo ago), licensed MIT. It adds 65 tokens to every session and 967 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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