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 agents/bramato/saveformedearai/installer.cloudflare.wrangler-devgit clone --depth 1 https://github.com/bramato/saveForMeDearAiWrote 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/bramato/saveformedearai/installer.cloudflare.wrangler-dev)<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>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 | $0.00186 | $0.02197 |
| Opus 5 | $0.00093 | $0.01099 |
| Sonnet 5 | $0.00037 | $0.00439 |
| Haiku 4.5 | $0.00019 | $0.00220 |
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.
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
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.
- 4d ago First seen · 177 lines · 0 tokens per session scan A 4e58f2f8e4c9
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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