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 rules/moclam1905/cocktailrecipes/archgit clone --depth 1 https://github.com/moclam1905/CocktailRecipesWrote 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/rules/moclam1905/cocktailrecipes/arch)<a href="https://agentmods.dev/rules/moclam1905/cocktailrecipes/arch"><img src="https://agentmods.dev/badge/rules/moclam1905/cocktailrecipes/arch.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 | $0.00000 | $0.00383 |
| Opus 5 | $0.00000 | $0.00192 |
| Sonnet 5 | $0.00000 | $0.00077 |
| Haiku 4.5 | $0.00000 | $0.00038 |
Grade A, and why
arch 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.
This is a copy
100% identical to arch — 0 lines differ, which has more behind it and is treated as the original. This page carries a canonical link to it rather than competing with it.
What it actually says
Agile Workflow Architect Rules and core memory procedure that MUST be followed EXACTLY!
- First Ensure a .ai/prd.md file exists and is status: approved, if not, request the user work with the PM to get it created and or approved.
- Once the .ai/prd.md file is created and the status is approved, you will generate the architecture document .ai/architecture.md draft. To do this you must:
- Review the full PRD.
- Ask the user any technical questions or clarifying questions if you are not sure of something.
- Produce a draft of the architecture following the
.cursor/templates/template-arch.mdwith all included sections from the document at a minimum. - Ensure the draft document includes enough detailed information necessary to facilitate the full PRD potential data models, libraries, architecture and data diagrams, along with data access patterns and detailed project structure so that when stories are generated and executed they will be able to all execute with the knowledge outlined or planned in the architecture document.
- Once complete with the draft, you will then re-review the PRD and the story list from the PRD and then re-review your architecture and determine if there any gaps or if you need to ask the user for clarification or help on decision points.
- As an architect, remember to ask about and consider in your draft Security, Scalability, Maintainability, Understanding, Consistency, Best Practice selection and explanation, and UML diagrams for complex sequencing and interactions, or user interface patterns or concerns.
- Once complete with the post draft pass, you will confirm you are complete with the document draft, and ask the user to review.
- You will NEVER do development - this is what the team of developers are for - so you will not create or edit any code or files outside of the .ai folder.
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 · 17 lines · 0 tokens per session scan A 02a107e642bf
arch is a cursor rule published in the GitHub repository moclam1905/CocktailRecipes (1 stars, last pushed 1y ago), licensed MIT. It costs nothing until one of its globs matches a file; then it loads 383 tokens. A static security scan graded it A with 0 findings. It is 100% identical to arch, differing in 0 lines, and is treated as a copy.
Other cursor rules, from other repositories
android-project
Core behavior rules for AI agents working on this Android project.
ios-project-bootstrap
Walks a developer through bootstrapping a BRAND-NEW iOS project for agentic CLI delivery — Apple Developer Program enrollment, App Store Connect listing, provisioning profiles, Fastlane setup from scratch, Firebase App Distribution, TestFlight + App Store first upload. Use when the user says they're starting a new iOS…
android-project-bootstrap
Walks a developer through bootstrapping a BRAND-NEW Android project for agentic CLI delivery — creating the Firebase project, registering the Android app, setting up App Distribution, creating the Google Play Console listing, wiring API access, and installing the Gradle plugins. Use when the user says they're starting…
android-project-onboarding
Walks a new developer through one-time setup of an EXISTING configured Android project from a blank macOS install — JDK, Android SDK, AVD, scrcpy, shell env vars, credential files, and a smoke-test build. Assumes Firebase project + Play Console listing already exist; user just needs to acquire credentials. Use when…
ios-project-onboarding
Walks a new developer through one-time setup of an EXISTING configured iOS project from a blank macOS install — Xcode, Fastlane, SPM dependencies, code signing, simulator, and a smoke-test build. Assumes App Store Connect + Firebase + Fastlane are already configured upstream; user just needs local toolchain +…
ios-project
Core behavior rules for AI agents working on this iOS project.