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/synaptiai/prompt-decorators/902-arch-templategit clone --depth 1 https://github.com/synaptiai/prompt-decoratorsWrote 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/synaptiai/prompt-decorators/902-arch-template)<a href="https://agentmods.dev/rules/synaptiai/prompt-decorators/902-arch-template"><img src="https://agentmods.dev/badge/rules/synaptiai/prompt-decorators/902-arch-template.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 5.1 | $0.00982 | $0.00982 |
| Opus 5 | $0.00491 | $0.00491 |
| Sonnet 5 | $0.00196 | $0.00196 |
| Haiku 4.5 | $0.00098 | $0.00098 |
Grade A, and why
902-arch-template 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 6d 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 — 160 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Architecture Template Standards
1.0.0
Requirements
- Document architectural decisions clearly
- Maintain a Changelog
Structure
Required Sections
1. Title {Architecture for {project}}
2. Status
- Draft
- Approved
3. Technical Summary
4. Technology Table
Table listing choices for languages, libraries, infra, etc...
- column for technology
- column for descrpition
5. Arhictectural Diagrams
- Mermaid Diagrams as needed
6. Data Models, API Specs, Schemas, etc...
- not exhaustive - but key ideas that need to be retained and followed across stories
7. Project Structure
document the folder and file organization and structure along with descriptions
8. Change Log
markdown table of key changes after document is no longer in draft and is updated, table includes the change title, the story id that the change happened during, and a description if the title is not clear enough
Examples
Status: Approved
Technical Summary
This architecture defines a scalable, fault-tolerant platform for processing real-time sensor data from multiple sources. The system employs a microservices architecture to ensure high availability, scalability, and maintainability while supporting real-time data processing and analysis.
Technology Table
| Technology | Description |
|---|---|
| Kubernetes | Container orchestration platform for microservices deployment |
| Apache Kafka | Event streaming platform for real-time data ingestion |
| TimescaleDB | Time-series database for sensor data storage |
| Go | Primary language for data processing services |
| GoRilla Mux | REST API Framework |
| Python | Used for data analysis and ML services |
| gRPC | Inter-service communication protocol |
| Prometheus | Metrics collection and monitoring |
| Grafana | Visualization and dashboarding |
Architectural Diagrams
graph TD
A[Sensor Gateway] -->|Raw Data| B[Kafka]
B --> C[Data Processor]
B --> D[Alert Service]
C --> E[(TimescaleDB)]
C --> F[Analytics Engine]
D --> G[Notification Service]
F --> H[ML Predictor]
style A fill:#f9f,stroke:#333
style B fill:#bbf,stroke:#333
style C fill:#bfb,stroke:#333
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.
- 6d ago First seen · 160 lines · 982 tokens per session scan A 0733a3c98559
902-arch-template is a cursor rule published in the GitHub repository synaptiai/prompt-decorators (43 stars, last pushed 3d ago), licensed Apache-2.0. It adds 982 tokens to every session, about $0.0049 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 2026-08-30.
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