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 | $0.02101 |
| Opus 5.5 | $0.00004 | $0.00840 |
| Sonnet 5.5 | $0.00002 | $0.00420 |
| Haiku 4.5 | $0.00001 | $0.00210 |
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 1mo 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 — 116 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}}
Opciones opcionales de aislamiento:
USE_WORKTREE: por defectofalse; el usuario puede activarlo con--worktree.WORKTREE_PATH: ruta opcional, activada con--worktree-path.BASE_REF: referencia base explícita para crear el worktree; no la adivines.- Si
USE_WORKTREE=true, invocaquinotospec-worktreey realiza todos los cambios, tests, changelog y mark-done dentro del worktree resultante.
Contexto Global OBLIGATORIO: Antes de realizar cualquier cambio:
- Ejecuta
python3 agent-dist/skills/quinotospec-contract/contract.py validate --root . --stricty detén el workflow ante errores. - Consulta
python3 agent-dist/skills/quinotospec-contract/contract.py inspect --root . --json; localiza elcanonical_idde{{TASK_ID}}y usastory_idcomo contexto, sin derivar la story por número. - Lee el archivo
*_tasks.mdque contiene la tarea, la story asociada y la proposal.md de la propuesta. - Lee
.quinoto-spec/discovery/para comprender el estado actual del proyecto (especialmente01-stack-profile.mdpara conocer el stack, comandos de test y convenciones). - Asegúrate de que esta tarea contribuya coherentemente a la arquitectura global.
- Si existe
.quinoto-spec/constitution.mdcon estadoactive, lee sus principios y verifica que la tarea pueda cumplirlos; si no puede, detén el Apply y solicita una enmienda o decisión explícita.
Instrucciones de Ejecución:
- Confirmación requerida: pregunta separadamente si se debe crear un branch nuevo y si se desea usar un worktree. Resuelve
BRANCH_NAMEyBASE_REF; no los inventes. - Constitution Gate: si existe
.quinoto-spec/constitution.mdactivo, verifica cada principio aplicable antes de modificar producción; si hay violación, detén el Apply. 2b. Human Approval Gate: para configuración crítica, recuperación de archivo archivado u otra decisión humana, registra.quinoto-spec/approvals/{{APPROVAL_ID}}.jsondespués de la confirmación explícita y validahuman-approvalconrules_enforce.py --require-approval --approval-id {{APPROVAL_ID}} --approval-subject {{SUBJECT}} --approval-action apply; una confirmación conversacional no basta. - Worktree Gate (opcional): si
USE_WORKTREE=truey el usuario confirma, invocaquinotospec-worktreeconTASK_ID,BRANCH_NAME,BASE_REFyWORKTREE_PATHopcional. La skill reutiliza un aislamiento existente o crea uno seguro. Si el usuario lo rechaza, continúa en el checkout actual. - Si
USE_WORKTREE=falsey el usuario confirmó crear un branch, usaquinotospec-generate-github-branch. SiUSE_WORKTREE=true, no dupliques la creación del branch congit checkout -b. - Baseline y contexto: después de crear o reutilizar un worktree, verifica su raíz, branch y disponibilidad de los artefactos; ejecuta la baseline de tests definida por
01-stack-profile.md. Una baseline fallida bloquea TDD y activaquinotospec-debug. - Si el cambio proviene de feedback de review, ejecuta primero
quinotospec-receive-reviewy aplica solo los puntos verificados. - RED obligatorio: para código de producción, ejecuta
quinotospec-tdd, escribe el test mínimo y registra el fallo esperado antes de modificar producción. Guarda.quinoto-spec/evidence/{{TASK_ID}}/tdd.jsony valida conevidence_validate.py --kind tdd --require --json. - GREEN mínimo: implementa solo el comportamiento requerido, ejecuta el test focalizado y confirma que pasa.
- REFACTOR: mejora la estructura sin cambiar el comportamiento y vuelve a ejecutar los tests afectados.
- Si aparece un fallo después de implementar, cambia a
quinotospec-debug; registra.quinoto-spec/evidence/{{TASK_ID}}/debug.jsony valida conevidence_validate.py --kind debug --require --jsonantes del hotfix. - Verificación de Criterios de Aceptación (DoD): revisa uno a uno los criterios definidos en la tarea/historia y asocia a cada uno un comando o evidencia.
- Calidad del stack: ejecuta tests, lint y typecheck disponibles usando
01-stack-profile.md; corrige regresiones antes de continuar. - Ejecuta
quinotospec-verify-before-done, guarda.quinoto-spec/evidence/{{TASK_ID}}/verify-before-done.jsony valida conevidence_validate.py --kind verify-before-done --require --json; no continúes al changelog si la evidencia no está fresca. - Revisión recomendada (opcional): si se creó un branch, sugiere
@quinotospec.reviewconTASK_ID={{TASK_ID}}yBRANCH_NAME={{BRANCH_NAME}}antes de mergear.
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.
- 1mo ago Changed · +16 lines 7faee963edf9
- 1mo ago Changed · +1 lines 1e61783799df
- 2mo 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 (21 stars, last pushed yesterday), licensed MIT. It adds 11 tokens to every session and 2,101 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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