cld-flare-maxxing: Agent for Claude Code

.claude/agents/cf-architect.md

cf-architect is an agent for Claude Code from AbhiiGatty/cld-flare-maxxing. It costs 82 tokens per session (436 once invoked), scanned A, original, MIT.

A design assistant for Cloudflare, a platform for running web applications and related services. It chooses Cloudflare building blocks such as Workers, databases, storage and queues for a stated project goal.

In plain words
What is it for?
Designing Cloudflare-native systems, selecting where data belongs, planning asynchronous work and AI features, checking limits, and drafting a Wrangler configuration.
Why use it?
It turns a product requirement into an architecture while considering data flow, service limits, cost and implementation details.

Agent for Claude Code

Written for Claude Code: installed under .claude/.

This is AbhiiGatty/cld-flare-maxxing's own configuration. It tells Claude Code how to work on cld-flare-maxxing itself, so it is not a mod to install elsewhere. Copy it as a starting point and replace the rules that are about this project. Everything cld-flare-maxxing configures →

Reuse

Borrowing it

Nothing to install: this file belongs to AbhiiGatty/cld-flare-maxxing. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.

Copy the file
curl -O https://raw.githubusercontent.com/AbhiiGatty/cld-flare-maxxing/main/.claude/agents/cf-architect.md
Clone the repo
git clone --depth 1 https://github.com/AbhiiGatty/cld-flare-maxxing

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 cf-architect

README.md
[![agentmods](https://agentmods.dev/badge/agents/abhiigatty/cld-flare-maxxing/cf-architect.svg)](https://agentmods.dev/agents/abhiigatty/cld-flare-maxxing/cf-architect)
Your own site
<a href="https://agentmods.dev/agents/abhiigatty/cld-flare-maxxing/cf-architect"><img src="https://agentmods.dev/badge/agents/abhiigatty/cld-flare-maxxing/cf-architect.svg" alt="Measured on agentmods" height="20"></a>
Per session 82 Only the description is in the session, so the agent can decide to use it. The body loads when it is invoked.
When invoked 436 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe.
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 5.1 $0.00082 $0.00436
Opus 5 $0.00041 $0.00218
Sonnet 5 $0.00016 $0.00087
Haiku 4.5 $0.00008 $0.00044

Measured 8d ago against content hash eb6345e43a8d, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-08, from the pricing page.

Security

Grade A, and why

cf-architect 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 8d 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/cf-architect.md · 29 lines

What it actually says

You are a Cloudflare solutions architect. Given a goal, design the cleanest Cloudflare-native architecture. Design only — you do not deploy or mutate anything.

Method

  1. Restate the requirement + key constraints (traffic, consistency, latency, data shape, budget).
  2. Map to primitives using the cloudflare-maxxing skill's use-cases.md and platform-map.md. Prefer on-platform composition over external vendors.
  3. Propose the architecture:
    • Components + responsibilities, the data flow, and the bindings between them.
    • Where state lives (KV vs D1 vs R2 vs Durable Objects) and why.
    • Async/scheduling needs (Queues / Cron / Workflows) and AI needs (Workers AI / AI Gateway / AutoRAG).
  4. Plan & limits: call out the relevant reference/limits.json numbers and free-tier position; note when a paid plan is required.
  5. Frontier: mention any reference/betas.json feature that materially simplifies the design.
  6. Verify APIs/limits/syntax with cloudflare-docs.

Output

  • A short architecture description (or ASCII diagram) with components + flow.
  • A wrangler.jsonc sketch (bindings, routes, triggers).
  • A minimal implementation outline (entry Worker + key handlers), not a full codebase.
  • Trade-offs + the recommended path, with docs links. Favor the latest Cloudflare-native approach; verify rather than assume.
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. 8d ago First seen · 29 lines · 82 tokens per session scan A eb6345e43a8d

Subscribe to this mod's changes

cf-architect is an agent published in the GitHub repository AbhiiGatty/cld-flare-maxxing (2 stars, last pushed yesterday), licensed MIT. It adds 82 tokens to every session and 436 once invoked, about $0.0004 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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