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-freshness-decay-trackergit 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-freshness-decay-tracker)<a href="https://agentmods.dev/skills/psyduckler/aeo-skills/aeo-freshness-decay-tracker"><img src="https://agentmods.dev/badge/skills/psyduckler/aeo-skills/aeo-freshness-decay-tracker/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-freshness-decay-tracker"><img src="https://agentmods.dev/badge/skills/psyduckler/aeo-skills/aeo-freshness-decay-tracker.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 | $0.00098 | $0.02038 |
| Opus 5 | $0.00049 | $0.01019 |
| Sonnet 5 | $0.00020 | $0.00408 |
| Haiku 4.5 | $0.00010 | $0.00204 |
Grade A, and why
aeo-freshness-decay-tracker 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 — 228 lines — stays where its author put it; the contents beside it link to each section on GitHub.
AEO Freshness Decay Tracker
Source: github.com/psyduckler/aeo-skills Part of: AEO Skills Suite
Monitor when your content exits the recurring retrieval set — and catch decay before you disappear.
Background
Being cited once doesn't matter. Influence compounds through repeated inclusion in the recurring retrieval set — the group of sources Gemini consistently draws from when answering a prompt. But that set isn't static. As content ages, competitors publish fresher alternatives, and the model's search queries evolve, your pages can slip out of the candidate set entirely.
In a search-first system like Gemini, retrievability depends on alignment with the queries the model generates, comprehensive topic coverage, and freshness signals. When any of these degrade, your citation rate decays. This skill tracks that decay over time so you can catch it early and refresh before you lose your position in the recurring retrieval set.
The "long long tail" of Gemini's search behavior means the model generates varied, specific queries — and as those queries evolve, previously-cited content may no longer match. Tracking decay reveals when this happens.
Defaults
- Model:
gemini-3-flash-preview— the same model powering Google AI Overviews - Samples: 20 runs per prompt — captures probabilistic citation patterns
- Data format: Append-only JSON — never overwrites historical data
Requirements
- Gemini API key (free from aistudio.google.com) — set as
GEMINI_API_KEYenv var - Python 3.9+
- No pip dependencies (stdlib only)
Usage
Scan — Record current citation rates
# Scan prompts and save to data file
GEMINI_API_KEY="$GEMINI_API_KEY" python3 scripts/track.py scan \
--domain acme.com \
--prompts "best content optimization tools" "SEO content software" \
--data-file freshness.json
# With prompts from a file
GEMINI_API_KEY="$GEMINI_API_KEY" python3 scripts/track.py scan \
--domain acme.com \
--prompts-file prompts.txt \
--data-file freshness.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 · 228 lines · 98 tokens per session scan A 1c5b2e29d7bd
aeo-freshness-decay-tracker is a skill published in the GitHub repository psyduckler/aeo-skills (11 stars, last pushed 3mo ago), licensed MIT. It adds 98 tokens to every session and 2,038 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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