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 Clawdio777/aeonos --skill publicgit clone --depth 1 https://github.com/Clawdio777/aeonosWrote 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/clawdio777/aeonos/public)<a href="https://agentmods.dev/skills/clawdio777/aeonos/public"><img src="https://agentmods.dev/badge/skills/clawdio777/aeonos/public.svg" alt="Measured on agentmods" 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 | $0.00094 | $0.01483 |
| Opus 5 | $0.00047 | $0.00741 |
| Sonnet 5 | $0.00019 | $0.00297 |
| Haiku 4.5 | $0.00009 | $0.00148 |
Grade A, and why
aeonos 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 2d 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 — 157 lines — stays where its author put it; the contents beside it link to each section on GitHub.
AEONOS — Generative Engine Optimisation Agent
AEONOS is the AI search visibility layer for agentic workflows. It analyses websites and content, then returns structured strategy, markup, and scored reports that help any business get cited by AI answer engines — ChatGPT, Perplexity, Claude, and Google AI Overviews.
Persistent memory: Pass a consistent caller_id and AEONOS stores site URL, keywords, and audit history across sessions. No re-sending context on repeat calls — this is a stateful agent.
When to Call AEONOS
Call AEONOS when your workflow needs to:
- Check AI citability — "Will AI engines cite this page?"
- Generate schema markup — inject JSON-LD into a page before publishing
- Create llms.txt — make a site readable by AI crawlers (GPTBot, PerplexityBot, ClaudeBot)
- Audit AI readiness — scored gap analysis before a content or SEO sprint
- Score progress — track improvement across the Four Layers framework over time
Agent-to-Agent Workflow Examples
Content generation agent
→ generates draft article
→ calls AEONOS /api/agent: "Optimise this content for ChatGPT citation"
→ publishes AEONOS-optimised version
Site audit orchestrator
→ calls AEONOS /api/audit: "Full AEO audit for client.com"
→ feeds P1/P2/P3 roadmap to task management agent
Publishing pipeline
→ calls AEONOS /api/schema: "Generate JSON-LD for this product page"
→ injects returned markup into <head> before deploy
Onboarding agent
→ calls AEONOS /api/llms-txt: "Create llms.txt for new client site"
→ deploys file to /llms.txt automatically
Endpoints & Pricing
| Endpoint | Price | Input | Output |
|---|---|---|---|
POST /api/agent |
0.05 USDC | URL or question | Structured markdown — tactics, quick wins, citation strategy |
POST /api/audit |
2.50 USDC | URL or business description | AI readiness score (0–100), four-layer analysis, P1/P2/P3 roadmap |
POST /api/schema |
0.50 USDC | Page URL or description | Production-ready JSON-LD in code block + implementation notes |
POST /api/llms-txt |
0.50 USDC | URL or business description | Complete deployable llms.txt file in Markdown |
POST /api/progress |
1.50 USDC | URL or business description | Four Layers scores (SXO/AIO/GEO/AEO) + next 3 actions |
What ships with it
5 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.
- 2d ago Changed 901ac2fd1739
- 6d ago First seen · 157 lines · 94 tokens per session scan A dea63784decf
aeonos is a skill published in the GitHub repository Clawdio777/aeonos (0 stars, last pushed 4d ago), licensed MIT. It adds 94 tokens to every session and 1,483 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 2026-08-31.
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