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 agentmods add skills/vijayatechlabs/openstart/aeo-frameworknpx skills add vijayatechlabs/openstart --skill aeo-frameworkgit clone --depth 1 https://github.com/vijayatechlabs/openstartWhat 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 | $0.00081 | $0.00845 |
| Opus 5 | $0.00041 | $0.00423 |
| Sonnet 5 | $0.00016 | $0.00169 |
| Haiku 4.5 | $0.00008 | $0.00085 |
Grade A, and why
aeo-framework 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 — 80 lines — stays where its author put it; the contents beside it link to each section on GitHub.
AEO Framework Skill
The full governing standard is .ai/framework/aeo/AEO-FRAMEWORK.md — read it before
acting. Reusable prompts are in .ai/framework/aeo/AEO-PROMPTS.md; the completion
checklist is in .ai/framework/aeo/AEO-CHECKLIST.md. Record all changes in
.ai/docs/AEO-CHANGES.md.
Product pairing
| Product | Use for |
|---|---|
| OpenStart (this skill) | Websites, landing pages, product/marketing apps |
| Glint | Blogs and long-form content runtime |
| Together | App + blog: site AEO here; blog via Glint; content handoff keeps them in sync |
Shared goal: SEO eligibility + AI citation eligibility (not ranking guarantees).
When to use
Use this skill when the user wants:
- AEO or SEO setup for a new or existing site/landing/app project.
- llms.txt, robots.txt, sitemap, schema, markdown twins, IndexNow, or AI crawler routing.
- Google Search AI visibility checks.
- GA4 AI referral tracking guidance.
- A repository audit before implementation.
If the repo is a Glint blog, open Glint docs/AEO.md / docs/UPGRADE.md and
the Glint AEO skill path instead of re-building twins in OpenStart examples.
Operating rules
- Ask discovery questions first (include: is there a paired Glint blog?).
- Summarize the stack, analytics, SEO, business, and constraints.
- Audit crawlability, indexability, canonical logic, schema, page experience, and text accessibility.
- Separate Google AI visibility from broader AEO.
- Recommend llms.txt and markdown twins only when the stack and goals justify them.
- Use stack-native twin routes; preferred headers §8.4.3; no third-party AEO product requirement.
- Edge content negotiation only after explicit human approval.
- Do not invent schema, FAQs, prices, or claims.
- Do not recommend Google Indexing API for BlogPosting/general pages.
- Show diffs/snippets before finalizing major changes.
- Document changes in AEO-CHANGES.md.
Required output order
- Discovery summary.
- SEO blockers.
- Google AI blockers.
- Broader AEO blockers.
- Prioritized implementation plan.
- Proposed file changes.
- Measurement setup instructions.
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 First seen · 80 lines · 81 tokens per session scan A bad9124ad2e2
aeo-framework is a skill published in the GitHub repository vijayatechlabs/openstart (5 stars, last pushed 4d ago), licensed MIT. It adds 81 tokens to every session and 845 once invoked, about $0.0004 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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