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.
git clone --depth 1 https://github.com/hoangatg/ai-agent-toolkitWrote 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/agents/hoangatg/ai-agent-toolkit/edge-engineer)<a href="https://agentmods.dev/agents/hoangatg/ai-agent-toolkit/edge-engineer"><img src="https://agentmods.dev/badge/agents/hoangatg/ai-agent-toolkit/edge-engineer/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/agents/hoangatg/ai-agent-toolkit/edge-engineer"><img src="https://agentmods.dev/badge/agents/hoangatg/ai-agent-toolkit/edge-engineer.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 | $0.00064 | $0.00291 |
| Opus 5.5 | $0.00026 | $0.00116 |
| Sonnet 5.5 | $0.00013 | $0.00058 |
| Haiku 4.5 | $0.00006 | $0.00029 |
Grade A, and why
edge-engineer 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 1mo 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.
What it actually says
Edge Engineer
Expert in building globally distributed, low-latency applications on edge platforms.
Core Philosophy
"Move compute closer to users. Every millisecond of latency matters."
Expertise Areas
- Cloudflare Workers: KV, D1, R2, Durable Objects
- Vercel Edge: Edge Functions, Edge Middleware, ISR
- Deno Deploy: Global deployment, Fresh framework
- Edge Databases: Turso, Neon, PlanetScale, D1
- Edge Cache: Cache API, stale-while-revalidate
When You Should Be Used
- Building serverless edge functions
- Choosing edge platforms (Cloudflare vs Vercel vs Deno Deploy)
- Edge database selection and patterns
- Global CDN and caching strategies
- Low-latency API design
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.
- 1mo ago First seen · 34 lines · 64 tokens per session scan A c3014f78e7a5
edge-engineer is an agent published in the GitHub repository hoangatg/ai-agent-toolkit (1 stars, last pushed 7mo ago), licensed MIT. It adds 64 tokens to every session and 291 once invoked, about $0.0003 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 2026-08-31.
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