Borrowing it
Nothing to install: this file belongs to davidbuenov/dbv-specs-ops. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.
curl -O https://raw.githubusercontent.com/davidbuenov/dbv-specs-ops/master/.claude/commands/plan.mdgit clone --depth 1 https://github.com/davidbuenov/dbv-specs-opsWrote 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/commands/davidbuenov/dbv-specs-ops/plan)<a href="https://agentmods.dev/commands/davidbuenov/dbv-specs-ops/plan"><img src="https://agentmods.dev/badge/commands/davidbuenov/dbv-specs-ops/plan/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/commands/davidbuenov/dbv-specs-ops/plan"><img src="https://agentmods.dev/badge/commands/davidbuenov/dbv-specs-ops/plan.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 | $0.00023 | $0.01117 |
| Opus 5.5 | $0.00009 | $0.00447 |
| Sonnet 5.5 | $0.00005 | $0.00223 |
| Haiku 4.5 | $0.00002 | $0.00112 |
Grade A, and why
plan 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 4d 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.
This is a copy
86% identical to plan — 0 lines differ, which has more behind it and is treated as the original. This page carries a canonical link to it rather than competing with it.
How it starts
The opening of the file, as written. The whole thing — 42 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Ejecuta ahora la fase Plan (/plan) del ciclo Spec→Plan→Build→Test→Simplify→Ship definido en
dbv-specs-ops/docs/MASTER_PROMPT.md (<workflow>, paso 2). Si dbv-specs-ops/docs/SPECIFICATIONS.md
todavía no tiene contenido real para esta tarea, ejecuta primero la fase Spec en la misma respuesta (no
rechaces la petición). Aplica el Adversarial Architect Review (con <evidence> y <confidence_score>) y
desglosa el trabajo en dbv-specs-ops/task.md (o dbv-specs-ops/implementation_plan.md si es complejo),
pidiendo aprobación explícita antes de construir.
🕸️ Grafo de fases — nodo activo: Plan
Fase 2: modo Conductor/Orquestador, Adversarial Architect Review y desglose en task.md (o implementation_plan.md).
Al entrar — la transición por la que llegas fija la condición, cómo ejecutar esta fase y qué evitar:
- desde Spec (PROVIDES_INPUT_FOR) — si: Los requisitos de la tarea tienen ID y criterios de aceptación verificables, sin preguntas abiertas críticas.
- Cómo: Clasifica el modo (Conductor <= 2 archivos y < 50 líneas; Orquestador si no). Imprime <architect_review> con y <confidence_score>; el cita un sustantivo concreto de SPECIFICATIONS.md. Desglosa en pasos de <= 50 líneas que citen su ID.
- Evita: No propongas un enfoque que figure como vigente en la Rejection Memory sin decir por qué ya no aplica. No avances a /build con un eje de confianza en low sin validación humana. Si el plan es complejo, no omitas el Frontmatter YAML (dependencies, risks, rollback_strategy).
- desde Maintain (PROVIDES_INPUT_FOR) — si: Un humano ha revisado el hallazgo [Detectado automáticamente] y decide abordarlo.
- Cómo: Trata el hallazgo como un requisito más: asígnale un ID y pásalo por el Architect Review.
- Evita: No saltes de Maintain a Build sin plan aprobado.
Salidas (salto 1) — a dónde puedes ir y con qué condición:
- Plan → Spec (LEADS_TO) — si: El Architect Review revela que la especificación es ambigua o contradictoria, o el usuario rechaza el plan.
- Cómo: Corrige solo la parte de SPECIFICATIONS.md afectada y vuelve a /plan. Registra el enfoque descartado y su motivo en la Rejection Memory de memory.md (REJECTED-NN).
- Evita: No reescribas requisitos que no estaban en cuestión. No borres un enfoque rechazado: se registra para no volver a proponerlo.
- Plan → Build (PROVIDES_INPUT_FOR) — si: El plan ha superado el Architect Review y el usuario lo ha aprobado explícitamente.
- Cómo: Implementa una porción cada vez. Cabecera de project.config.md en cada fichero nuevo, @spec REQ-NN en las funciones que implementan un requisito y entrada en CHANGELOG.md [Sin publicar]. Si contradices ARCHITECTURE.md, regístralo ya en memory.md.
- Evita: Varios return fuera de las Guard Clauses iniciales (un solo return final); excepciones o None donde toca el patrón Result; any en TypeScript; .unwrap()/.expect() en comandos IPC de Rust; todo el React en App.tsx; en Tauri sin bundler, ES modules o una constante isTauri (usa IIFE y runningInTauri).
Horizonte (salto 2) — lo que vendrá después y revisará tu trabajo:
- Spec ↩ Plan (PROVIDES_INPUT_FOR) — si: Los requisitos de la tarea tienen ID y criterios de aceptación verificables, sin preguntas abiertas críticas.
- Build → Test (LEADS_TO) — si: La porción está implementada, compila o se ejecuta sin errores y está anotada en CHANGELOG.md.
- Cómo: Escribe y ejecuta tests deterministas que citen @spec REQ-NN para cada requisito tocado. Con componentes de IA, añade Evals; con un Agent Plugin, valida plugin.json y mcp.json.
- Evita: No marques una tarea como hecha sin un test en verde. Si un enfoque falla y lo reviertes, regístralo en la Rejection Memory antes de probar otro.
Rutas relativas a dbv-specs-ops/. Lee la 🚫 Rejection Memory de memory.md antes de proponer un enfoque: lo que ya se descartó no se vuelve a proponer sin explicar qué ha cambiado.
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.
- 4d ago Changed · +30 lines 64b1ba8f3d4f
- 8d ago Changed · +1 lines e07dd9e8f220
- 1mo ago First seen · 11 lines · 23 tokens per session scan A 755dacca21a6
plan is a command published in the GitHub repository davidbuenov/dbv-specs-ops (29 stars, last pushed 4d ago), licensed MIT. It adds 23 tokens to every session and 1,117 once invoked, about $0.0001 per session on Opus 5.5. A static security scan graded it A with 0 findings. It is 86% identical to plan, differing in 0 lines, and is treated as a copy.
Other commands, from other repositories
checklist
Generate a custom checklist for the current feature based on user requirements.
clarify
Identify underspecified areas in the current feature spec by asking up to 5 highly targeted clarification questions and encoding answers back into the spec.
specify
Create or update the feature specification from a natural language feature description.
converge
Assess the current codebase against the feature's spec, plan, and tasks, then append any remaining unbuilt work as new tasks to tasks.md so implement can complete it.
implement
Execute the implementation plan by processing and executing all tasks defined in tasks.md.
speckit.bug.fix
Apply the remediation from a bug assessment and record what was changed.