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-analytics-freegit 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-analytics-free)<a href="https://agentmods.dev/skills/psyduckler/aeo-skills/aeo-analytics-free"><img src="https://agentmods.dev/badge/skills/psyduckler/aeo-skills/aeo-analytics-free/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-analytics-free"><img src="https://agentmods.dev/badge/skills/psyduckler/aeo-skills/aeo-analytics-free.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 | $0.00152 | $0.02232 |
| Opus 5.5 | $0.00061 | $0.00893 |
| Sonnet 5.5 | $0.00030 | $0.00446 |
| Haiku 4.5 | $0.00015 | $0.00223 |
Grade A, and why
aeo-analytics-free 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 2mo 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 — 191 lines — stays where its author put it; the contents beside it link to each section on GitHub.
AEO Analytics (Free)
Source: github.com/psyduckler/aeo-skills Part of: AEO Skills Suite — Prompt Research → Content → Analytics
Track whether AI assistants mention and cite your brand — and how that changes over time.
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. This skill measures whether you're in that candidate set, where you sit in it (citation position), and whether your position is improving over time. Gemini is search-first, searching before nearly every answer — influence compounds through repeated inclusion in the recurring retrieval set.
Requirements
- Primary: Gemini API key (free from aistudio.google.com) — enables grounding with source data
- Fallback:
web_searchonly — weaker signal but zero API keys needed web_fetch— optional, for deeper analysis of cited pages
Defaults
- Model:
gemini-3-flash-preview— This is the model powering Google Search AI Mode and AI Overviews, making it the most relevant model for AEO analytics. Using the same model Google uses means your measurements reflect real-world AI Overview behavior. - Samples per prompt: 20 — Run each prompt 20 times to get reliable directional data. AI responses are probabilistic; a single run can miss mentions that appear 30-40% of the time. 20 samples balances accuracy with API cost.
Input
- Domain (required) — the brand's website (e.g.,
tabiji.ai) - Brand names (required) — names to search for in responses (e.g.,
["tabiji", "tabiji.ai"]) - Prompts (required for first scan) — list of target prompts to track. Can come from
aeo-prompt-research-freeoutput. - Data file path (optional) — where to store scan history. Default:
aeo-analytics/<domain>.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.
- 2mo ago First seen · 191 lines · 152 tokens per session scan A bd31b167d9c6
aeo-analytics-free is a skill published in the GitHub repository psyduckler/aeo-skills (13 stars, last pushed 5mo ago), licensed MIT. It adds 152 tokens to every session and 2,232 once invoked, about $0.0006 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 2026-08-30.
aeo-analytics-free compared with skills from other repositories
| Mod | Type | Stars | Last push | Licence | Scan | Tokens | Works with |
|---|---|---|---|---|---|---|---|
| aeo-analytics-freepsyduckler/aeo-skills | Skill | 13 | 5mo ago | MIT | A | 152 | Claude Code, Codex |
| imagegenopenai/codex | Skill | 133k | yesterday | Apache-2.0 | A | 113 | Codex |
| playwright-climicrosoft/playwright | Skill | 99k | yesterday | Apache-2.0 | A | 19 | Claude Code |
| local-ai-agentsmicrosoft/ai-agents-for-beginners | Skill | 79k | 4d ago | MIT | A | 200 | Claude Code, Codex |
| systematic-debuggingobra/superpowers | Skill | 313k | 3d ago | MIT | A | 21 | Claude Code |
| next-cache-components-adoptionvercel/next.js | Skill | 143k | yesterday | MIT | A | 95 | Claude Code |
| next-partial-prefetching-adoptionvercel/next.js | Skill | 143k | yesterday | MIT | A | 103 | Claude Code |