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-entity-extractorgit 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-entity-extractor)<a href="https://agentmods.dev/skills/psyduckler/aeo-skills/aeo-entity-extractor"><img src="https://agentmods.dev/badge/skills/psyduckler/aeo-skills/aeo-entity-extractor/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-entity-extractor"><img src="https://agentmods.dev/badge/skills/psyduckler/aeo-skills/aeo-entity-extractor.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 | $0.00116 | $0.01845 |
| Opus 5 | $0.00058 | $0.00923 |
| Sonnet 5 | $0.00023 | $0.00369 |
| Haiku 4.5 | $0.00012 | $0.00185 |
Grade A, and why
aeo-entity-extractor 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 10d 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 — 172 lines — stays where its author put it; the contents beside it link to each section on GitHub.
AEO Entity Extractor
Source: github.com/psyduckler/aeo-skills Part of: AEO Skills Suite
Map the entity universe of the recurring retrieval set — the specific brands, stats, people, and tools that Gemini weaves into its answers.
Background
When Gemini retrieves information to answer a prompt, it doesn't just cite sources — it extracts and repeats specific entities from those sources: brand names, statistics, people, product names, and data points. These entities form the entity universe of the recurring retrieval set for that topic.
If your content doesn't include the entities Gemini expects for a topic, you're less likely to enter the candidate set. Conversely, if your content mentions the same brands, cites the same statistics, and references the same tools that Gemini consistently includes in its answers, you signal topical alignment and comprehensiveness. In Gemini's search-first architecture, the model builds its response from retrieved content — your content needs to speak the same entity language as the rest of the candidate set.
The "long long tail" of Gemini's varied search queries means entities that appear across many different query variations are the strongest signals of topic authority. This skill identifies those high-frequency entities.
Defaults
- Model:
gemini-3-flash-preview— the same model powering Google AI Overviews - Samples: 20 runs per prompt — captures the full entity universe
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 — extract entities from Gemini responses
GEMINI_API_KEY="$GEMINI_API_KEY" python3 scripts/extract_entities.py "best project management tools for startups"
# With entity gap analysis for your domain
GEMINI_API_KEY="$GEMINI_API_KEY" python3 scripts/extract_entities.py "best project management tools for startups" --domain monday.com
# JSON output
GEMINI_API_KEY="$GEMINI_API_KEY" python3 scripts/extract_entities.py "best CRM software 2025" --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.
- 10d ago First seen · 172 lines · 116 tokens per session scan A 1faf3e93e87f
aeo-entity-extractor is a skill published in the GitHub repository psyduckler/aeo-skills (11 stars, last pushed 3mo ago), licensed MIT. It adds 116 tokens to every session and 1,845 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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