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quinotospec-suggest-next

quinotospec-suggest-next is a skill for Cursor from Quinoto-Tech/QuinotoSpec. It costs 33 tokens per session (907 once invoked), scanned A, original, MIT.

A task-planning tool that finds the next unfinished task in a proposal while respecting task dependencies and order.

In plain words
What is it for?
It helps choose the next task for a proposal, user story, or task ID, including when earlier tasks must be completed first.
Why use it?
It removes the need to manually inspect task lists to decide what can be done next.

Skill for Cursor

Written for Cursor: shipped in a Cursor plugin.

Part of the quinotospec plugin — 90 skills, 9 agents, 1 hook shipped together

not rated 21repo changed 9d ago A scan SkillSpector: pass 33 tokens original MIT

Good fit It helps choose the next task for a proposal, user story, or task ID, including when earlier tasks must be completed first.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/quinoto-tech/quinotospec/quinotospec-suggest-next
View source ↗ Quinoto-Tech/QuinotoSpec
Install

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.

Any agent
npx skills add Quinoto-Tech/QuinotoSpec --skill quinotospec-suggest-next
Clone the repo
git clone --depth 1 https://github.com/Quinoto-Tech/QuinotoSpec

Made for: Cursor.

Or install quinotospec, the plugin that ships this one along with the rest of its 90 skills, 9 agents, 1 hook.

Wrote 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.

agentmods badge for quinotospec-suggest-next

README.md
[![agentmods](https://agentmods.dev/badge/skills/quinoto-tech/quinotospec/quinotospec-suggest-next/github.svg)](https://agentmods.dev/skills/quinoto-tech/quinotospec/quinotospec-suggest-next)
Your own site
<a href="https://agentmods.dev/skills/quinoto-tech/quinotospec/quinotospec-suggest-next"><img src="https://agentmods.dev/badge/skills/quinoto-tech/quinotospec/quinotospec-suggest-next/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.

agentmods 80×15 button for quinotospec-suggest-next

Your own site · 80×15
<a href="https://agentmods.dev/skills/quinoto-tech/quinotospec/quinotospec-suggest-next"><img src="https://agentmods.dev/badge/skills/quinoto-tech/quinotospec/quinotospec-suggest-next.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 33 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 907 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe. Third-party audits
  • NVIDIA SkillSpector pass 7 Sept 2026
How audits are shown
Origin original No closer match found in the catalogue.
Token cost

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.

ModelPer sessionOnce invoked
Fable 5.1 $0.00033 $0.00907
Opus 5.5 $0.00013 $0.00363
Sonnet 5.5 $0.00007 $0.00181
Haiku 4.5 $0.00003 $0.00091

Measured 9d ago against content hash 4ccf836bc76c, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

quinotospec-suggest-next 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.

agent-dist/skills/quinotospec-suggest-next/SKILL.md · 85 lines

How it starts

The opening of the file, as written. The whole thing — 85 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Skill: Suggest Next

Para navegación global (cuando no hay propuesta activa o no sabes qué workflow toca), usa primero /quinotospec.help. Esta skill resuelve la siguiente tarea dentro de una propuesta.

Analiza el estado actual de las tareas de una propuesta y sugiere cuál debería ejecutarse a continuación, respetando dependencias y orden numérico.

Instrucciones de Ejecución

Paso 1 - Recibir parámetros

Recibir uno de:

  • --task-id {{TASK_ID}} (ej. TSK-AUTH-a1b2-001): deriva US_ID y busca en la propuesta
  • --proposal-slug {{SLUG}}: busca siguiente tarea en toda la propuesta, no solo en la story actual
  • --us-id {{US_ID}} + --proposal-slug {{SLUG}}: busca siguiente tarea en una story específica

Paso 2 - Derivar contexto

Si se usó --task-id:

  1. Consulta python3 agent-dist/skills/quinotospec-contract/contract.py inspect --root . --json.
  2. Busca el raw_id o canonical_id de la tarea en el snapshot.
  3. Obtén la story desde story_id/story_raw_id; nunca la derivas del número de la tarea.
  4. Busca el archivo *_tasks.md que contenga esa relación explícita.

Paso 3 - Encontrar siguiente tarea

  1. Usa el contrato común para leer status, dependencies y story_id; acepta tablas canónicas y legacy.
  2. Recorre las tareas por canonical_id numérico.
  3. Una tarea está lista si status == pending y todas sus dependencias están completed.
  4. La primera tarea que cumpla ambas condiciones es la siguiente.
  5. all_tasks.md es un índice derivado y no debe duplicar candidatos.

Paso 4 - Formular sugerencia

Responder con uno de estos 3 mensajes:

Caso A - Hay siguiente tarea en la misma story:

Siguiente tarea: {{NEXT_TASK_ID}} — {{NEXT_TASK_DESCRIPTION}}
¿Deseas continuar? Ejecutá: @quinotospec.apply --task-id {{NEXT_TASK_ID}}

Caso B - No hay más tareas en esta story, pero sí en la propuesta:

No hay más tareas pendientes en {{US_ID}}.
Próxima story con tareas: {{NEXT_US_ID}}
Primera tarea: {{NEXT_TASK_ID}} — {{NEXT_TASK_DESCRIPTION}}

Read the full file on GitHub · 85 lines

Changes

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.

  1. 9d ago Changed · +2 lines 4ccf836bc76c
  2. 1mo ago Changed · -1 lines 008d32ef84fd
  3. 1mo ago First seen · 84 lines · 33 tokens per session scan A 9725331fae85

Subscribe to this mod's changes

quinotospec-suggest-next is a skill published in the GitHub repository Quinoto-Tech/QuinotoSpec (21 stars, last pushed yesterday), licensed MIT. It adds 33 tokens to every session and 907 once invoked, about $0.0001 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 2026-09-03.

PlanningProject management
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