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 TheBeardedBearSAS/claude-craft --skill edge-computinggit clone --depth 1 https://github.com/TheBeardedBearSAS/claude-craftWrote 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/thebeardedbearsas/claude-craft/edge-computing)<a href="https://agentmods.dev/skills/thebeardedbearsas/claude-craft/edge-computing"><img src="https://agentmods.dev/badge/skills/thebeardedbearsas/claude-craft/edge-computing/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/thebeardedbearsas/claude-craft/edge-computing"><img src="https://agentmods.dev/badge/skills/thebeardedbearsas/claude-craft/edge-computing.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector warn
SkillSpector: 2 findings, up to medium
These are SkillSpector’s own severities. On a checked sample its high-severity flags on skills were ~96% false positives — a documented command, a public API, a “never do X” rule — so we show them as a caution to read, not a verdict. Why →
- medium Server-Side Request Forgery · line 25 Request target host is built from a dynamic or untrusted value. If the host is attacker-influenced, this enables SSRF to arbitrary internal or metadata endpoints.Fix: Do not build request URLs from untrusted input. Validate the host against an allowlist and reject internal/metadata addresses before issuing the request.
- medium Agent Snooping · line 78 Skill enumerates or reads other installed skills. Access to other skills' SKILL.md files or the skills directory reveals prompt instructions, capabilities, and secrets that should be invisible to peer skills.Fix: Remove all code or instructions that list or read other skills' files or directories. Skills should operate independently; cross-skill access is a privilege escalation.
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 | $0.00000 | $0.00552 |
| Opus 5.5 | $0.00000 | $0.00221 |
| Sonnet 5.5 | $0.00000 | $0.00110 |
| Haiku 4.5 | $0.00000 | $0.00055 |
Grade A, and why
edge-computing scanned grade A with 1 finding against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 1mo ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Makes network callslowCapability
Not a fault in itself. Listed so you know the mod talks to something, and to what.
async fetch(req) { What it actually says
Edge Computing — Cloudflare Workers, Deno Deploy
Compute global faible latence, proche utilisateur.
Platforms
Cloudflare Workers — V8, 300+ POPs, KV/Durable
Deno Deploy — Deno, 30+ POPs, TypeScript
Vercel Edge — V8, 20+ POPs, Next.js
Fastly Compute@Edge — WASM, 70+ POPs
Geo-Routing
export default {
async fetch(req) {
const api = req.cf.country === 'US' ? 'us-api' : 'eu-api';
return fetch(`https://${api}.example.com${req.url}`);
}
};
Edge Caching (KV)
const key = new URL(req.url).pathname;
let cached = await env.KV.get(key);
if (cached) return new Response(cached, { headers: { 'X-Cache': 'HIT' } });
const resp = await fetch('https://origin.com' + key);
const body = await resp.text();
await env.KV.put(key, body, { expirationTtl: 3600 });
return new Response(body, { headers: { 'X-Cache': 'MISS' } });
A/B Testing
const variant = Math.random() < 0.5 ? 'A' : 'B';
resp.cookies.set('ab_test', variant);
Bot Detection
if (/bot|crawler/i.test(req.headers.get('User-Agent'))) {
return new Response('Forbidden', { status: 403 });
}
Durable Objects (Stateful)
export class ChatRoom {
async fetch(req) {
const [client, server] = Object.values(new WebSocketPair());
this.sessions.push(server); server.accept();
server.on('message', e => this.broadcast(e.data));
return new Response(null, { status: 101, webSocket: client });
}
}
Constraints
CPU 10-50ms → offload heavy
Memory 128MB → streaming
No FS → KV/R2
Voir @.claude/skills/wasm/SKILL.md
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 · 79 lines · 0 tokens per session scan A dd5c3f29b906
edge-computing is a skill published in the GitHub repository TheBeardedBearSAS/claude-craft (107 stars, last pushed 7d ago), licensed MIT. It costs nothing until one of its globs matches a file; then it loads 552 tokens. A static security scan graded it A with 1 finding (makes network calls). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-09-03.
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