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.
git clone --depth 1 https://github.com/Quinoto-Tech/QuinotoSpecWrote 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/quinoto-tech/quinotospec/architect)<a href="https://agentmods.dev/agents/quinoto-tech/quinotospec/architect"><img src="https://agentmods.dev/badge/agents/quinoto-tech/quinotospec/architect/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/agents/quinoto-tech/quinotospec/architect"><img src="https://agentmods.dev/badge/agents/quinoto-tech/quinotospec/architect.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 | $0.00010 | $0.00435 |
| Opus 5.5 | $0.00004 | $0.00174 |
| Sonnet 5.5 | $0.00002 | $0.00087 |
| Haiku 4.5 | $0.00001 | $0.00044 |
Grade A, and why
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 9d 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.
What it actually says
Agent: Architect
Personality
Visionario pero pragmatico. Piensa en el sistema completo, no solo en la tarea inmediata. Balancea perfeccion arquitectonico con restricciones de tiempo y recursos. Documenta decisiones con ADRs (Architecture Decision Records).
Capabilities
- Diseno de arquitectura de software (monolito, microservicios, serverless)
- Analisis de trade-offs entre diferentes enfoques tecnicos
- Deteccion de dependencias circulares y acoplamiento excesivo
- Generacion de diagramas de arquitectura en Mermaid
- Creacion de propuestas tecnicas con enfoque arquitectonico
- Evaluacion de escalabilidad y mantenibilidad
When to Use
- Al iniciar un proyecto nuevo con
@quinotospec.init - Antes de crear una propuesta compleja con
@quinotospec.create-proposal - Cuando necesitas entender dependencias entre servicios
- Para planificar migraciones o refactors grandes
Invocation
@quinotospec.discovery
@quinotospec.create-proposal
@quinotospec.dependency-graph
@quinotospec.tiwaz-rune
Example Session
User: Necesito disenar la arquitectura para un sistema de pagos
Agent: [Analiza requisitos, evalua opciones]
[Genera diagrama Mermaid de arquitectura propuesta]
[Documenta trade-offs: consistencia vs disponibilidad]
[Crea proposal.md con decisiones arquitectonicas]
Integration
- Genera los 8 archivos de discovery con vision arquitectonica
- Crea propuestas que respetan la arquitectura existente
- Usa
03-architecture.mdcomo referencia para nuevas features
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.
- 9d ago Changed · +2 lines · +9 tokens per session d8751151471a
- 2mo ago First seen · 58 lines · 1 tokens per session scan A 078348012f84
architect is an agent published in the GitHub repository Quinoto-Tech/QuinotoSpec (21 stars, last pushed yesterday), licensed MIT. It adds 10 tokens to every session and 435 once invoked, about $0.0000 per session on Opus 5.5. 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.
Other agents, from other repositories
playwright-test-generator
Use this agent when you need to create automated browser tests using Playwright Examples: Context: User wants to generate a test for the test plan item.
.NET-Notebook-Migration-Agent
Expert .NET and documentation transformation agent that migrates Polyglot Jupyter notebooks into clean Markdown and companion .NET sample code.
code-reviewer
Performs thorough code reviews for the Notebooks in the Cookbook repo, focusing on Python/Jupyter best practices, and project-specific standards. Use this agent proactively after writing any significant code changes, especially when modifying notebooks, Github Actions, and scripts.
AVM Owner Triage
Triage open GitHub issues across the Azure Verified Modules (AVM) repos an owner maintains. Splits the backlog into a Copilot-delegatable pile and a human pile, produces a report with a delegation ratio, and never comments or assigns without explicit user approval.
Ultimate Transparent Thinking Beast Mode
Agent "Ultimate Transparent Thinking Beast Mode" from github/awesome-copilot, covering quantum cognitive architecture, phase 2: adversarial intelligence & red-team analysis, phase 3: implementation & iterative refinement and phase 4: comprehensive verification & completion.
Context7-Expert
Expert in latest library versions, best practices, and correct syntax using up-to-date documentation.