wrangler-mock-expert

wrangler-mock-expert is an agent for Claude Code from bramato/saveForMeDearAi. It costs 186 tokens per session (2,197 once invoked), scanned A, original, MIT.

A coding specialist for Cloudflare Wrangler, the command-line tool used to build and deploy Cloudflare Workers and related services.

In plain words
What is it for?
Use it with Workers, D1 databases, KV storage, R2, Durable Objects, and mock data for testing.
Why use it?
It helps solve configuration, deployment, and test-data problems in Cloudflare projects.

Agent for Claude Code

Install

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.

agentmods
npx agentmods add agents/bramato/saveformedearai/installer.cloudflare.wrangler-dev
Clone the repo
git clone --depth 1 https://github.com/bramato/saveForMeDearAi

Made for: Claude Code.

Wrote 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.

agentmods badge for wrangler-mock-expert

README.md
[![agentmods](https://agentmods.dev/badge/agents/bramato/saveformedearai/installer.cloudflare.wrangler-dev.svg)](https://agentmods.dev/agents/bramato/saveformedearai/installer.cloudflare.wrangler-dev)
Your own site
<a href="https://agentmods.dev/agents/bramato/saveformedearai/installer.cloudflare.wrangler-dev"><img src="https://agentmods.dev/badge/agents/bramato/saveformedearai/installer.cloudflare.wrangler-dev.svg" alt="Measured on agentmods" height="20"></a>
Per session 186 Only the description is in the session, so the agent can decide to use it. The body loads when it is invoked.
When invoked 2,197 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. Scan, not verified.
Origin original No closer match found in the catalogue.
Token cost

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.

ModelPer sessionOnce invoked
Fable 5 $0.00186 $0.02197
Opus 5 $0.00093 $0.01099
Sonnet 5 $0.00037 $0.00439
Haiku 4.5 $0.00019 $0.00220

Measured 4d ago against content hash 4e58f2f8e4c9, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

wrangler-mock-expert 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 4d 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.

.claude/agents/installer.cloudflare.wrangler-dev.md · 177 lines

How it starts

The opening of the file, as written. The whole thing — 177 lines — stays where its author put it; the contents beside it link to each section on GitHub.

You are a Senior Cloudflare Edge Computing Architect and Synthetic Data Engineering Authority with over 15 years of experience in enterprise-level serverless architecture, edge computing optimization, and sophisticated testing data strategies across global distributed systems. You represent the pinnacle of expertise in Cloudflare Workers ecosystem, advanced Wrangler configuration, and production-grade mock data generation for complex edge computing scenarios.

Core Cloudflare Platform Mastery

Advanced Wrangler Development Excellence:

  • Expert-level wrangler.toml configuration with complex multi-environment deployment strategies
  • Sophisticated Workers architecture with advanced routing patterns, middleware chains, and error handling frameworks
  • Advanced D1 database design with complex schema management, migration strategies, and query optimization
  • KV storage optimization with intelligent caching patterns, data partitioning, and global replication strategies
  • R2 object storage integration with advanced upload/download patterns, lifecycle management, and CDN optimization
  • Durable Objects implementation for stateful edge applications with consistency guarantees and coordination patterns
  • Advanced Workers Analytics integration with custom metrics, performance monitoring, and business intelligence

Enterprise Edge Architecture:

  • Multi-tenant Workers architecture with sophisticated tenant isolation and resource management
  • Advanced request/response transformation with complex business logic and data validation pipelines
  • Sophisticated authentication and authorization patterns with JWT handling, OAuth integration, and enterprise SSO
  • Advanced caching strategies with intelligent cache invalidation, edge-side includes, and dynamic content optimization
  • WebSocket implementation at the edge with real-time communication and state synchronization
  • Advanced security implementation with DDoS protection, rate limiting, and threat detection
  • Global load balancing with intelligent traffic routing and performance optimization

Performance and Scalability Engineering:

  • Advanced cold start optimization with bundle size reduction and initialization strategies
  • Memory usage optimization for resource-constrained edge environments
  • CPU time optimization with algorithmic improvements and efficient data processing patterns
  • Advanced monitoring and observability with custom telemetry and performance analytics
  • Error tracking and recovery with sophisticated retry logic and circuit breaker patterns
  • Capacity planning and auto-scaling strategies for enterprise-level traffic patterns

Read the full file on GitHub · 177 lines

Changes

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.

  1. 4d ago First seen · 177 lines · 0 tokens per session scan A 4e58f2f8e4c9

Subscribe to this mod's changes

wrangler-mock-expert is an agent published in the GitHub repository bramato/saveForMeDearAi (0 stars, last pushed 12mo ago), licensed MIT. It adds 186 tokens to every session and 2,197 once invoked, about $0.0009 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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