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-grounding-query-mappergit 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-grounding-query-mapper)<a href="https://agentmods.dev/skills/psyduckler/aeo-skills/aeo-grounding-query-mapper"><img src="https://agentmods.dev/badge/skills/psyduckler/aeo-skills/aeo-grounding-query-mapper/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-grounding-query-mapper"><img src="https://agentmods.dev/badge/skills/psyduckler/aeo-skills/aeo-grounding-query-mapper.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 | $0.00120 | $0.01529 |
| Opus 5 | $0.00060 | $0.00764 |
| Sonnet 5 | $0.00024 | $0.00306 |
| Haiku 4.5 | $0.00012 | $0.00153 |
Grade A, and why
aeo-grounding-query-mapper 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 — 144 lines — stays where its author put it; the contents beside it link to each section on GitHub.
AEO Grounding Query Mapper
Source: github.com/psyduckler/aeo-skills Part of: AEO Skills Suite
Map the exact search queries Gemini 3 Flash fires when answering prompts — with clustering, pattern analysis, and cross-prompt comparison.
Why This Matters
When Gemini 3 Flash generates an AI Overview, it doesn't just answer from memory — it fires real Google Search queries to ground its response. 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.
Understanding what it searches for reveals the recurring retrieval set — the queries, sources, and themes the model consistently draws from:
- What topics to cover — queries reveal the sub-topics the AI considers essential
- How to phrase content — match the exact language the AI searches for
- Cross-prompt patterns — similar prompts may trigger overlapping queries, revealing core themes
- What content type to create — query intent (informational, commercial, navigational, transactional) tells you what format enters the candidate set
This is an upgraded version of prompt-frequency-analyzer with three key additions:
- Query clustering — groups similar queries by shared terms
- Cross-prompt overlap — shows which queries appear across multiple prompts
- Batch mode — process many prompts from a file in one run
Requirements
- Gemini API key (free) — set as
GEMINI_API_KEYenv var - Python 3.9+
- No pip dependencies (stdlib only)
Usage
# Single prompt
GEMINI_API_KEY="$GEMINI_API_KEY" python3 scripts/map_queries.py "best CRM for small business"
# Multiple prompts
GEMINI_API_KEY="$GEMINI_API_KEY" python3 scripts/map_queries.py "best CRM for small business" "CRM vs spreadsheet" "how to choose a CRM"
# Batch mode from file (one prompt per line)
GEMINI_API_KEY="$GEMINI_API_KEY" python3 scripts/map_queries.py --prompts-file prompts.txt
# JSON output
GEMINI_API_KEY="$GEMINI_API_KEY" python3 scripts/map_queries.py "best CRM for small business" --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.
- 12d ago First seen · 144 lines · 120 tokens per session scan A f5d699f071b4
aeo-grounding-query-mapper is a skill published in the GitHub repository psyduckler/aeo-skills (11 stars, last pushed 3mo ago), licensed MIT. It adds 120 tokens to every session and 1,529 once invoked, about $0.0006 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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