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 Quinoto-Tech/QuinotoSpec --skill quinotospec-applygit 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/skills/quinoto-tech/quinotospec/quinotospec-apply)<a href="https://agentmods.dev/skills/quinoto-tech/quinotospec/quinotospec-apply"><img src="https://agentmods.dev/badge/skills/quinoto-tech/quinotospec/quinotospec-apply/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/quinoto-tech/quinotospec/quinotospec-apply"><img src="https://agentmods.dev/badge/skills/quinoto-tech/quinotospec/quinotospec-apply.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 | $0.00011 | $0.01485 |
| Opus 5 | $0.00005 | $0.00743 |
| Sonnet 5 | $0.00002 | $0.00297 |
| Haiku 4.5 | $0.00001 | $0.00148 |
Grade A, and why
quinotospec-apply 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 3d 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 — 100 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Workflow: Apply
[INSTRUCCIÓN MAESTRA] Debes ejecutar la tarea técnica especificada por el usuario y documentar EXACTAMENTE los cambios realizados en el archivo de registro.
Tarea a realizar:
{{TASK_ID}} — {{TASK_DESCRIPTION}}
Contexto Global OBLIGATORIO: Antes de realizar cualquier cambio:
- Busca el
{{TASK_ID}}en.quinoto-spec/proposals/{{PROPOSAL_SLUG}}/{{US_ID}}_tasks.mdpara obtener el contexto técnico completo de la tarea: historia relacionada, criterios de aceptación y detalles de implementación. - Lee
.quinoto-spec/discovery/para comprender el estado actual del proyecto (especialmente01-stack-profile.mdpara conocer el stack, comandos de test y convenciones). - Lee
.quinoto-spec/proposals/para alinear tu código con las propuestas técnicas aprobadas. - Asegúrate de que esta tarea contribuya coherentemente a la arquitectura global.
Instrucciones de Ejecución:
- Confirmación requerida: Antes de crear un branch, pregunta al usuario si desea crear uno nuevo. Si el usuario no quiere crear un branch, omite este paso y continúa trabajando en la rama actual.
- Si el usuario confirma, crea un branch con el nombre
feature/{{TASK_ID}}-slug-descriptivoen kebab-case (ej.feature/US-ABC-001-add-login-endpoint) usando la skillquinotospec-generate-github-branch. - Analiza el código actual y realiza los cambios necesarios para cumplir con la tarea descrita.
- Verificación de Criterios de Aceptación (DoD): Antes de finalizar, revisa uno a uno los criterios de aceptación definidos en la tarea/historia y confirma que cada uno está cumplido. Si alguno no está cubierto, impleméntalo o documenta la excepción.
- Ejecuta los tests del stack: Usa el comando de tests detectado en
01-stack-profile.md(ej.npm test,pytest,bundle exec rspec) y verifica que no haya regresiones. Si los tests fallan, corrígelos antes de continuar. - Revisión recomendada (opcional): Si se creó un branch en el paso 2, sugiere al usuario ejecutar
@quinotospec.reviewconTASK_ID={{TASK_ID}}yBRANCH_NAME={{nombre del branch creado}}antes de mergear, para una revisión técnica independiente contra los criterios de aceptación. No es bloqueante — si el usuario prefiere omitirla, continúa con los pasos siguientes.
Instrucciones de Documentación (Changelog):
Una vez aplicados los cambios, DEBES ejecutar la skill quinotospec-update-changelog.
- Título de la Acción: Tarea: {{TASK_ID}} — {{TASK_DESCRIPTION}}
- Resumen:
- Lista de archivos modificados con el siguiente formato por cada uno:
ruta/relativa/al/archivo— [creado | modificado | eliminado] — motivo del cambio
- Resumen técnico de la solución implementada.
- Estado de los criterios de aceptación (DoD): ✅ cumplidos / ⚠️ excepciones documentadas.
- Lista de archivos modificados con el siguiente formato por cada uno:
Instrucción Final OBLIGATORIA (Mark Done):
Una vez completado y documentado el changelog, DEBES ejecutar la skill quinotospec-mark-done pasando:
TASK_ID: el ID de la tarea completada. Esto actualizará el estado de la tarea, la historia y la propuesta correspondiente.
IMPORTANTE: Los pasos de documentación y mark-done son OBLIGATORIOS. No termines la ejecución sin completarlos.
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.
- 3d ago Changed · +1 lines 1e61783799df
- 12d ago First seen · 99 lines · 11 tokens per session scan A 1ca66c2bb2c9
quinotospec-apply is a skill published in the GitHub repository Quinoto-Tech/QuinotoSpec (20 stars, last pushed today), licensed MIT. It adds 11 tokens to every session and 1,485 once invoked, about $0.0001 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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