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 hainamchung/agent-assistant --skill cloudflare-expertgit clone --depth 1 https://github.com/hainamchung/agent-assistantWrote 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/hainamchung/agent-assistant/cloudflare-expert)<a href="https://agentmods.dev/skills/hainamchung/agent-assistant/cloudflare-expert"><img src="https://agentmods.dev/badge/skills/hainamchung/agent-assistant/cloudflare-expert/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/hainamchung/agent-assistant/cloudflare-expert"><img src="https://agentmods.dev/badge/skills/hainamchung/agent-assistant/cloudflare-expert.svg" alt="Reviewed on agentmods" width="80" 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 5.1 | $0.00074 | $0.02032 |
| Opus 5 | $0.00037 | $0.01016 |
| Sonnet 5 | $0.00015 | $0.00406 |
| Haiku 4.5 | $0.00007 | $0.00203 |
Grade A, and why
cloudflare-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 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.
How it starts
The opening of the file, as written. The whole thing — 228 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Cloudflare Platform Skill
Consolidated skill for building on the Cloudflare platform. Use decision trees below to find the right product, then load detailed references.
How to Use This Skill
Reference File Structure
Each product in ./references/<product>/ contains a README.md as the entry point, which may be structured in one of two ways:
Multi-file format (5 files):
| File | Purpose | When to Read |
|---|---|---|
README.md |
Overview, when to use, getting started | Always read first |
api.md |
Runtime API, types, method signatures | Writing code |
configuration.md |
wrangler.toml, bindings, setup | Configuring a project |
patterns.md |
Common patterns, best practices | Implementation guidance |
gotchas.md |
Pitfalls, limitations, edge cases | Debugging, avoiding mistakes |
Single-file format: All information consolidated in README.md.
Reading Order
- Start with
README.md - Then read additional files relevant to your task (if multi-file format):
- Building feature →
api.md+patterns.md - Setting up project →
configuration.md - Troubleshooting →
gotchas.md
- Building feature →
Example Paths
./references/workflows/README.md # Start here for Workflows
./references/workflows/api.md # Workflow class, step methods
./references/durable-objects/gotchas.md # DO limitations
./references/workers-ai/README.md # Single-file - all Workers AI docs
Quick Decision Trees
"I need to run code"
Need to run code?
├─ Serverless functions at the edge → workers/
├─ Full-stack web app with Git deploys → pages/
├─ Stateful coordination/real-time → durable-objects/
├─ Long-running multi-step jobs → workflows/
├─ Run containers → containers/
├─ Multi-tenant (customers deploy code) → workers-for-platforms/
└─ Scheduled tasks (cron) → cron-triggers/
"I need to store data"
Need storage?
├─ Key-value (config, sessions, cache) → kv/
├─ Relational SQL → d1/ (SQLite) or hyperdrive/ (existing Postgres/MySQL)
├─ Object/file storage (S3-compatible) → r2/
├─ Message queue (async processing) → queues/
├─ Vector embeddings (AI/semantic search) → vectorize/
├─ Strongly-consistent per-entity state → durable-objects/ (DO storage)
├─ Secrets management → secrets-store/
└─ Streaming ETL to R2 → pipelines/
What ships with it
60 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.
- references/agents-sdk/api.md 2.8 KB
- references/agents-sdk/configuration.md 1.7 KB
- references/agents-sdk/gotchas.md 2.0 KB
- references/agents-sdk/patterns.md 3.5 KB
- references/agents-sdk/README.md 1003 B
- references/ai-gateway/README.md 19 KB
- references/ai-search/api.md 1000 B
- references/ai-search/configuration.md 1000 B
- references/ai-search/gotchas.md 836 B
- references/ai-search/patterns.md 1000 B
- references/ai-search/README.md 560 B
- references/analytics-engine/api.md 1000 B
- references/analytics-engine/configuration.md 1000 B
- references/analytics-engine/gotchas.md 34 B
- references/analytics-engine/patterns.md 1000 B
- references/analytics-engine/README.md 637 B
- references/api-shield/api.md 2.3 KB
- references/api-shield/configuration.md 3.1 KB
- references/api-shield/gotchas.md 1.7 KB
- references/api-shield/patterns.md 3.9 KB
- references/api-shield/README.md 973 B
- references/api/api.md 755 B
- references/api/configuration.md 515 B
- references/api/gotchas.md 800 B
- references/api/patterns.md 1000 B
- references/api/README.md 739 B
- references/argo-smart-routing/api.md 1000 B
- references/argo-smart-routing/configuration.md 1000 B
- references/argo-smart-routing/gotchas.md 800 B
- references/argo-smart-routing/patterns.md 1006 B
- references/argo-smart-routing/README.md 742 B
- references/bindings/api.md 40 B
- references/bindings/configuration.md 1000 B
- references/bindings/gotchas.md 800 B
- references/bindings/patterns.md 725 B
- references/bindings/README.md 552 B
- references/bot-management/api.md 5.0 KB
- references/bot-management/configuration.md 3.7 KB
- references/bot-management/gotchas.md 3.1 KB
- references/bot-management/patterns.md 3.1 KB
- references/bot-management/README.md 3.0 KB
- references/browser-rendering/api.md 1000 B
- references/browser-rendering/configuration.md 1000 B
- references/browser-rendering/gotchas.md 806 B
- references/browser-rendering/patterns.md 1000 B
- references/browser-rendering/README.md 741 B
- references/c3/README.md 5.4 KB
- references/cache-reserve/api.md 5.1 KB
- references/cache-reserve/configuration.md 3.9 KB
- references/cache-reserve/gotchas.md 5.5 KB
- references/cache-reserve/patterns.md 5.1 KB
- references/cache-reserve/README.md 3.1 KB
- references/containers/api.md 1000 B
- references/containers/configuration.md 1000 B
- references/containers/gotchas.md 806 B
- references/containers/patterns.md 1000 B
- references/containers/README.md 734 B
- references/cron-triggers/api.md 4.3 KB
- references/cron-triggers/configuration.md 3.1 KB
- references/cron-triggers/gotchas.md 4.1 KB
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.
- 8d ago First seen · 228 lines · 74 tokens per session scan A a49d4ad5e22a
cloudflare-expert is a skill published in the GitHub repository hainamchung/agent-assistant (54 stars, last pushed 3mo ago), licensed MIT. It adds 74 tokens to every session and 2,032 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 2026-09-03.
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