Skills edge-computing-patterns

📦

edge-computing-patterns

Name: edge-computing-patterns
Author: AI Agent Hub

v1.0.0 Content revision r2 High Risk ⚙️ External commands🌐 Network access🔑 Env variables

Build Reliable Applications at the Edge

Edge platforms differ in runtime limits, storage, and deployment behavior. This skill provides practical patterns for routing, authentication, caching, streaming, and rate limiting.

Supports: Claude Codex Code(CC)

⚠️ 38 Poor

This skill is part of a pack

Install the whole pack to get every skill the task needs, in one command.

Cloudflare Workers Deploy · 6 skills Install whole pack

Stop for confirmation before installing.

Review the plan and obtain explicit user consent before changing files.

Install with my Agent

Copy this request to your Agent. It includes the canonical Skill page and manifest.

Agent request

Review the Skillstore skill "edge-computing-patterns" from https://skillstore.io/skills/ariegoldkin-edge-computing-patterns.md and its manifest at https://skillstore.io/api/skills/ariegoldkin-edge-computing-patterns/manifest. Verify the artifact. Stop and obtain explicit user consent before installing or changing files.

Your Agent should still show its plan and request any confirmation required by the security policy.

Agent-readable resources

Use these links when an AI agent, crawler, or script needs clean context instead of reading the full page.

Markdown detail GET /skills/ariegoldkin-edge-computing-patterns.md Signed manifest GET /api/skills/ariegoldkin-edge-computing-patterns/manifest Signed lockfile GET /api/skills/ariegoldkin-edge-computing-patterns/lockfile

Test it

Using "edge-computing-patterns". Compare edge platforms for a global personalization API with strict latency requirements.

Expected outcome:

Recommendation: Cloudflare Workers. Its broad location coverage and fast isolate startup fit this workload. Validate storage consistency and execution limits before selection.

Using "edge-computing-patterns". Plan middleware for country routing and an A/B experiment.

Expected outcome:

Route by trusted platform geography, assign a stable experiment bucket, preserve the bucket in a cookie, and define fallback behavior for missing metadata.

Using "edge-computing-patterns". Review a Worker that caches every successful origin response.

Expected outcome:

Cache only responses explicitly marked public. Bypass requests with authorization or private cookies, honor cache directives, and define a bounded cache lifetime.

Security Audit

High Risk

v10 • 7/23/2026 Open versioned report

All 34 static findings are false positives caused by documentation, expected edge APIs, TypeScript syntax, and public runtime metadata. No command execution, secret-file access, reconnaissance, prompt injection, or malicious network intent appears. Semantic review found shared-cache exposure risk and a non-atomic KV rate limiter in instructional examples.

Files scanned

234

Lines analyzed

Review items

False positives ignored

Confirmed security concerns (2)

High

SKILL.md:52-61 SKILL.md:195-210

Unsafe Shared-Cache Examples

The examples cache origin responses by request URL without excluding authenticated, private, or unsuccessful responses. This can expose personalized content across users.

Both examples write fetched responses into a shared cache without checking authorization, cookies, private directives, or public cache eligibility.

Medium

SKILL.md:173-186

Non-Atomic Distributed Rate Limiting

The KV read-modify-write counter is non-atomic and eventually consistent. Concurrent or distributed requests can undercount and bypass the intended limit.

The example performs separate KV get and put operations with no atomic increment or serialization mechanism.

Risk Factors

⚙️ External commands (18)

SKILL.md:139 SKILL.md:35-46 SKILL.md:46-88 SKILL.md:88-92 SKILL.md:92-126 SKILL.md:126-131 SKILL.md:131 SKILL.md:132 SKILL.md:133 SKILL.md:134 SKILL.md:135 SKILL.md:139 SKILL.md:147-167 SKILL.md:167-170 SKILL.md:170-174 SKILL.md:174-191 SKILL.md:191-194 SKILL.md:194-216

🌐 Network access (11)

SKILL.md:38 SKILL.md:57 SKILL.md:77 SKILL.md:151 SKILL.md:164 SKILL.md:172 SKILL.md:188 SKILL.md:204 SKILL.md:231 SKILL.md:232 SKILL.md:233

🔑 Env variables (2)

SKILL.md:123 SKILL.md:123

Audited by: codex View Audit History →

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Open versioned report

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https://skillstore.io/skills/ariegoldkin-edge-computing-patterns/audits/10?utm_source=security_passport&utm_medium=share&utm_campaign=versioned_report

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Academic citations (APA · BibTeX · CFF)

APA citation

AI Agent Hub. (2026). edge-computing-patterns security audit report (audit version 10) [Author version 1.0.0]. Skillstore. https://skillstore.io/skills/ariegoldkin-edge-computing-patterns/audits/10

BibTeX citation

@techreport{ai-agent-hub-ariegoldkin-edge-computing-patterns-2026,
  author = {AI Agent Hub},
  title = {edge-computing-patterns security audit report (audit version 10)},
  institution = {Skillstore},
  year = {2026},
  number = {10},
  url = {https://skillstore.io/skills/ariegoldkin-edge-computing-patterns/audits/10},
  note = {Author version 1.0.0}
}

CITATION.cff

cff-version: 1.2.0
message: "If you use this Skill, cite its author and this versioned security audit report."
title: "edge-computing-patterns security audit report (audit version 10)"
version: "1.0.0"
type: report
authors:
  - name: "AI Agent Hub"
date-released: "2026-07-23"
url: "https://skillstore.io/skills/ariegoldkin-edge-computing-patterns/audits/10"
identifiers:
  - type: other
    value: "skillstore:ariegoldkin-edge-computing-patterns:audit:10"
    description: "Skillstore immutable audit report identifier"

Skillstore Score

Why this score Evidence Confidence: Medium

Architecture

100

Maintainability

Content

Community

Spec Compliance

What You Can Build

Select an Edge Platform

Compare runtime limits, locations, and free tiers against application requirements.

Implement Edge Middleware

Design request routing, localization, experiments, authentication, and origin forwarding.

Review Traffic Controls

Assess caching and rate-limiting patterns before production deployment.

Try These Prompts

Compare Edge Platforms

Compare Cloudflare Workers, Vercel Edge Functions, and Deno Deploy for [application]. Prioritize [latency, runtime, cost, or locations]. Recommend one platform.

Design Edge Middleware

Design edge middleware for [framework and platform]. Include [routing, localization, or experiments], request flow, required headers, and failure handling.

Plan an Edge Migration

Review this Node.js workload: [description]. Identify incompatible APIs, suitable Web API replacements, storage changes, caching boundaries, and migration risks.

Architect Global Traffic Control

Design a production edge architecture for [workload]. Cover authentication, atomic rate limiting, public caching, streaming, observability, consistency, and platform constraints.

Best Practices

Verify current platform limits and supported APIs before implementation.
Treat authentication, cache policy, and rate limits as separate security boundaries.
Test cold starts, cache behavior, failure paths, and geographic consistency.

Avoid

Do not assume Node.js filesystem, process, or native module support.
Do not place personalized responses in a shared cache without explicit safeguards.
Do not use eventually consistent KV counters for strict distributed rate limits.

Frequently Asked Questions

Which edge platforms does this skill cover?

It covers Cloudflare Workers, Vercel Edge Functions, and Deno Deploy.

Does this skill deploy an application?

No. It provides patterns and examples, but it does not run deployment commands.

Can I use Node.js packages at the edge?

Only packages compatible with the selected runtime. Filesystem, child process, and native module dependencies often require replacement.

Does it include authentication guidance?

Yes. It shows a JWT verification pattern for a Cloudflare Worker.

Are the caching examples production ready?

No. Add explicit public-cache eligibility, authorization bypasses, cache directives, error handling, and tests.

Is KV suitable for strict rate limiting?

Usually not. Strict distributed limits require atomic coordination, such as Durable Objects or a provider rate-limit service.

Developer Details

Author

AI Agent Hub

License

MIT

Author version

v1.0.0

Skillstore revision

Repository

https://github.com/ArieGoldkin/ai-agent-hub/tree/main/skills/edge-computing-patterns

Ref

89edfdc710d0846129dcee6a929477b04f08052c

Maintenance freshness

7/24/2026

Usage

8 downloads · 229 views

File structure

📄 SKILL.md