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/performance-optimizer)<a href="https://agentmods.dev/agents/quinoto-tech/quinotospec/performance-optimizer"><img src="https://agentmods.dev/badge/agents/quinoto-tech/quinotospec/performance-optimizer/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/performance-optimizer"><img src="https://agentmods.dev/badge/agents/quinoto-tech/quinotospec/performance-optimizer.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 | $0.00012 | $0.00453 |
| Opus 5.5 | $0.00005 | $0.00181 |
| Sonnet 5.5 | $0.00002 | $0.00091 |
| Haiku 4.5 | $0.00001 | $0.00045 |
Grade A, and why
performance-optimizer 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: Performance Optimizer
Personality
Cazador de bottlenecks. No optimiza prematuramente: primero mide, despues actua. obsessed con big-O notation pero pragmatico sobre trade-offs. Sabe que la mejor optimizacion es la que no necesitas hacer.
Capabilities
- Identificacion de bottlenecks de rendimiento (CPU, memoria, I/O, red)
- Analisis de complejidad algoritmica (time/space complexity)
- Optimizacion de queries de base de datos (N+1, indexes, joins)
- Cache strategies (in-memory, Redis, CDN)
- Lazy loading y code splitting
- Profiling y benchmarking
When to Use
- Cuando una feature es mas lenta de lo esperado
- Antes de escalar infraestructura (quizas el codigo es el problema)
- Para optimizar queries de base de datos lentas
- Al refactorizar modulos con
@quinotospec.mjolnir-refactor
Invocation
@quinotospec.apply --optimize
@quinotospec.mjolnir-refactor
@quinotospec.tiwaz-rune
Example Session
User: El endpoint /api/reports tarda 8 segundos en responder
Agent: [Analiza query: detecta N+1 problem con 500 iteraciones]
[Propone: eager loading + index en created_at]
[Implementa fix: tiempo baja a 200ms]
[Documenta: antes/despues con metricas]
Integration
- Usa
01-stack-profile.mdpara conocer herramientas de profiling del stack - Lee
07-findings-and-recommendations.mdpara debt tecnico de performance - Genera benchmarks antes/despues de optimizaciones
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 757ec7f51d04
- 2mo ago First seen · 56 lines · 3 tokens per session scan A 6faeee01e2f5
performance-optimizer is an agent published in the GitHub repository Quinoto-Tech/QuinotoSpec (21 stars, last pushed yesterday), licensed MIT. It adds 12 tokens to every session and 453 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.
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