gat-brainstorm
Brainstorm a game idea through one-question-at-a-time designer interviews. Produces game.md, systems-index.md, and art-direction.md, or runs as discussion-only.
Perfil del activo
Investigación y trabajo de conocimiento
Deep research, source comparison, literature review, RAG, knowledge search, and reports.
Escenario
Agents de investigación
I need my agent to research a topic, compare sources, and produce a concise report.
Afinidad con Agent
Claude Code + CLI + Codex
Funciona con Codex, Claude Code, Cursor, CLI o Agents personalizados.
Instalar
Listo
npx skills add Yuki001/game-dev-skills --skill gat-brainstorm
Mantenimiento
Actual
2 días desde el último push
Riesgo
Requiere revisión
La licencia no está clara
Calidad de GitHub
57
59/100 Calidad · 68/100 Confianza
Etiquetas de cobertura
Notas de revisión
La licencia no está clara · Financial research output is not financial advice; require human review before any live investment decision
Tarjeta de adopción del Agent
Confianza, auditoría y preparación de instalación de un vistazo
Estas puntuaciones combinan metadatos públicos del repositorio, señales de revisión de OpenAgentSkill, actualidad de mantenimiento y preparación de instalación. Sirven para preseleccionar; no sustituyen la revisión humana.
Calidad
PrometedorUseful candidate, but compare it with alternatives before adopting.
Confianza
Solo sandboxCandidata útil con señales de confianza incompletas o mixtas. Manténgala en un espacio aislado hasta que el ciclo de resultados demuestre el ajuste.
Auditoría
Requiere revisiónRevisión legible por máquina de la preparación de instalación, los metadatos de seguridad, el mantenimiento y el riesgo de adopción.
Trust Score de OpenAgentSkill v5
Revisión humana antes de instalar
Ejecute solo en un sandbox y compare alternativas cercanas antes de usarla en trabajo real.
Estrellas
57 estrellas de GitHub
Actividad del repositorio
57 estrellas y 9 forks
Mantenimiento
2 días desde el último push
Licencia
Desconocido
Instalar
npx skills add Yuki001/game-dev-skills --skill gat-brainstorm
Seguridad de instalación
Ruta estándar de paquete o instalación en tiempo de ejecución
Superficie de permisos
Ejecución de shell o comandos
Resultados del Agent
Aún no hay datos de resultados del Agent
Documentación
Contexto sólido de README/SKILL.md
Resumen de riesgo
Revisar antes de producción
- Repository license is unknown, which creates compliance ambiguity.
- Financial research output is not financial advice; require human review before any live investment decision.
- La licencia no está clara
- Quality score needs review
Preparación de instalación
Ruta de instalación disponible
- La ruta de instalación está disponible
- La evidencia del repositorio está disponible
- La licencia no está clara
- Aún no hay evidencia de resultados Agent-Proven
Metadatos legibles por Agent
Datos de decisión legibles por máquina para este skill.
Usa este bloque o el JSON integrado para decidir si un Agent debe instalar este skill, elegir una alternativa o pedir revisión humana primero.
Tareas adecuadas
- Flujos de Agents de investigación
- Equipos de Claude Code
- builders willing to evaluate younger projects
- Fuentes de búsqueda
Agents adecuados
Decisión de instalación
- Comando
- npx skills add Yuki001/game-dev-skills --skill gat-brainstorm
- Política
- Revisar
- Revisión humana
- Sí
Confianza y riesgo
- Confianza
- 60/100
- Auditoría
- 74/100
- Nivel de riesgo
- Requiere revisión
Ciclo de resultados
- Endpoint
- /api/agent/outcome
- ID del evento
- resolve
- Resultados
- 5
Comando de instalación
npx skills add Yuki001/game-dev-skills --skill gat-brainstormNo usar cuando
- Equipos que necesitan un SLA con soporte del proveedor
- production agents without a repository review
- Repository license is unknown, which creates compliance ambiguity.
- Indicios de permisos de alto riesgo: ejecución de shell o comandos
- La licencia no está clara
Skill alternativo
Last30days Skill
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npx skills add mvanhorn/last30days-skill -g
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npx skills add Imbad0202/academic-research-skills
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28.0K Estrellas
npx skills add assafelovic/gpt-researcher
Skill alternativo
DeepResearch
19.8K Estrellas
npx skills add Alibaba-NLP/DeepResearch
Seguridad de Agent v2
42/100 · Evitar instalación automática
Sparse or mixed signals. Useful for discovery, but not for autonomous installation.
Test manually in an isolated workspace and compare against safer alternatives.
Alto
Ejecución de shell o comandos
Los metadatos del skill hacen referencia a terminal, CLI, shell, subprocesos o flujos de ejecución de comandos.
Medio
Browser automation
Skill may drive a browser or interact with web pages.
Medio
Acceso a red
El skill probablemente consulta páginas remotas, API, repositorios o servicios externos.
Medio
Acceso al sistema de archivos
El skill puede leer o escribir archivos de proyecto, documentos, artefactos generados o estado local.
- Indicios de permisos de alto riesgo: ejecución de shell o comandos
- La licencia no está clara
Destinos de instalación
Instala este skill en tu flujo de Agent
Usa el endpoint público para obtener el comando, la lista de seguridad, prompts y enlaces canónicos.
OpenAgentSkill CLI
Resolve policy, run the source installer safely, and report a verified install receipt.
$ npx --yes https://github.com/Leon-Drq/openagentskill/releases/download/cli-v0.2.1/openagentskill-0.2.1.tgz install yuki001-gat-brainstormPlan de resolución de Agent
Deja que un Agent valide el ajuste antes de instalar.
La API Resolve devuelve la skill elegida, alternativas, política de seguridad, notas de auditoría, destino de instalación y un prompt listo para usar.
Abrir JSON
/api/agent/resolve?task=Use%20gat-brainstorm%20for%20an%20agent%20workflow&agent=codex&max_risk=medium
Texto de Resolve
/api/agent/resolve?task=Use%20gat-brainstorm%20for%20an%20agent%20workflow&agent=codex&max_risk=medium&format=text
Traspaso de instalación
/api/skills/yuki001-gat-brainstorm/install
Agent debe revisar
- Task fit and alternatives from Resolve API.
- Audit score, trust score, and safety policy warnings.
- Install target compatibility for Codex, Claude Code, Cursor, or CLI.
Copiar prompt
Task: Use gat-brainstorm in this workspace.
Resolve first: https://www.openagentskill.com/api/agent/resolve?task=Use%20gat-brainstorm%20for%20an%20agent%20workflow&agent=codex&max_risk=medium
Review install handoff: https://www.openagentskill.com/api/skills/yuki001-gat-brainstorm/install
Install command: npx skills add Yuki001/game-dev-skills --skill gat-brainstorm
Before running it, summarize audit warnings, required permissions, and the fallback skill if install is risky.Traspaso de Agent
Da al Agent la ruta de instalación, no otro directorio.
Usa el endpoint público para obtener el comando, la lista de seguridad, prompts y enlaces canónicos.
Traspaso de instalación
/api/skills/yuki001-gat-brainstorm/install
Formato de texto LLM
/api/skills/yuki001-gat-brainstorm/install?format=text
Buscar alternativas
/api/skills/search?q=gat-brainstorm&limit=3
Prompt de Agent
Use gat-brainstorm for this task. Review https://www.openagentskill.com/api/skills/yuki001-gat-brainstorm/install, then install with: npx skills add Yuki001/game-dev-skills --skill gat-brainstormMetadatos del Registry
Perfil legible por Agent para seleccionar skills automáticamente.
La API Registry expone señales de decisión, confianza, auditoría, casos de uso e instalación sin raspar la interfaz.
Manifest
/api/registry/manifest/yuki001-gat-brainstorm
Texto LLM
/api/registry/manifest/yuki001-gat-brainstorm?format=text
Alias de instalación
/api/registry/install/yuki001-gat-brainstorm
Recomendar
/api/registry/recommend?task=Use%20gat-brainstorm%20in%20an%20agent%20workflow&limit=3
Afinidad con Agent
Agents de investigación
Etiquetas de uso
Plataformas
Claude Code
Informe de auditoría
Requiere revisión · 74/100
Revisión legible por máquina de la preparación de instalación, los metadatos de seguridad, el mantenimiento y el riesgo de adopción.
Panel de decisión de Agent
Fallback candidate for Research agents
Prototype with this skill first; keep a fallback candidate ready.
Rol en la pila
Candidata de respaldo
Ajuste principal
Agents de investigación
Etiqueta de confianza
Prototipar primero
Ruta de instalación
Comando listo
Úsalo cuando
- Flujos de Agents de investigación
- Equipos de Claude Code
- builders willing to evaluate younger projects
Evidencia
- recent repository activity
- install command or GitHub repo available
- perfil de calidad 59/100
- 11 eventos de interacción de OpenAgentSkill
revisar primero
- Repository license is unknown, which creates compliance ambiguity.
Ruta de implementación
- 1Instálalo en un Agent de sandbox y ejecuta una tarea de Agents de investigación de principio a fin.
- 2Compare output quality, latency, and failure behavior against at least one alternative.
- 3Promote it into production only after reviewing repository permissions, license, and maintenance signals.
Perfil de confianza
Solo sandbox
Candidata útil con señales de confianza incompletas o mixtas. Manténgala en un espacio aislado hasta que el ciclo de resultados demuestre el ajuste.
Adopción en GitHub
Revisar57 estrellas de GitHub
Actividad de stars/forks
Revisar57 estrellas y 9 forks; la actividad de issues no está disponible en los metadatos actuales
Mantenimiento reciente
Aprobado2 días desde el último push
Claridad de licencia
RevisarDesconocido
Señales positivas
- Revisión de IA aprobada
- La ruta de instalación está disponible
- La evidencia del repositorio está disponible
- Repositorio mantenido recientemente
- El comando de instalación no muestra un patrón de alto riesgo evidente
- El ciclo de resultados está listo, pero necesita la primera ejecución real de Agent
Revisar antes de instalar
- Repository license is unknown, which creates compliance ambiguity.
- Financial research output is not financial advice; require human review before any live investment decision.
- La licencia no está clara
- Quality score needs review
- GitHub adoption: 57 GitHub stars
- Stars/forks activity: 57 stars, 9 forks; issue activity unavailable in current metadata
- License clarity: Unknown
- Aún no hay informes reales de resultados del Agent
- Se requiere revisión humana antes de una instalación desatendida
Acción recomendada
Ejecute solo en un sandbox y compare alternativas cercanas antes de usarla en trabajo real.
Perfil de calidad
Prometedor candidato para flujos de Agent
Useful candidate, but compare it with alternatives before adopting.
Ajuste de flujo
Usa esta skill en estos escenarios
Investigate faster
Research agents
I need my agent to research a topic, compare sources, and produce a concise report.
Publish consistently
Content automation
I need my agent to turn research and product updates into useful content drafts.
Search private knowledge
RAG and knowledge
I need my agent to build a RAG workflow over documents and retrieve reliable context.
Ajuste de flujo
Añadir a un flujo completo
Find, compare, and synthesize
Research report agent
A workflow for agents that gather sources, compare claims, summarize long material, and draft useful research briefs.
Design, build, test, and ship interfaces
Frontend and UI
A practical workflow for agents that turn product briefs or Figma designs into polished frontend code, review the result, test it in a browser, and prepare a safe deployment.
Ingest, retrieve, and cite
RAG knowledge base
A workflow for document-heavy agents that ingest files, create searchable knowledge, retrieve relevant context, and answer with grounded sources.
Lista de alternativas
Compara antes de instalar
Similar skills that may fit this task.
Last30days Skill
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Resumen
--- name: gat-brainstorm description: "Brainstorm a game idea through one-question-at-a-time designer interviews. Produces game.md, systems-index.md, and art-direction.md, or runs as discussion-only." argument-hint: "[<hint> | discuss]" user-invocable: true allowed-tools: Read, Glob, Grep, Write, Edit, Agent, AskUserQuestion ---
# Brainstorm
This skill explores a game concept through open-ended designer interview. Spawn `gat-designer` for design reasoning and `gat-artist` for visual direction. Pick questions from the angle table below — follow the conversation, not a script.
## Phase 1: Resolve Mode
- If argument is `discuss` → Mode: `discuss` (no files written, exploration only) - If argument is a hint or empty → Mode: `design` (produces foundational design docs and global art direction)
Check whether `gat/overview/game.md`, `gat/overview/systems-index.md`, or `gat/overview/art-direction.md` already exist. If so, note them — the interview may refine or replace existing decisions instead of starting from scratch.
## Phase 2: The Interview
### Core Rules
- **One question at a time.** Never batch. Wait for the answer before the next question. - **Provide a recommended answer** with each question. Explain the design reasoning. - **Prefer open-ended questions.** Let the user type free-form responses. Reserve `AskUserQuestion` (multiple-choice) for when you are presenting concrete solution options and need the user to pick one. Most of the interview should be dialogue, not forms. - **Pick angles, don't follow steps.** Use the angle table as a menu. Jump to whatever dimension is most useful next — chase what's interesting or ambiguous. - **If a question can be answered by reading existing design files, read them instead of asking.** - **Spawn `gat-designer`** when you need a design reasoning pass: drafting a core loop, proposing systems, evaluating a trade-off, or checking consistency. - **Spawn `gat-artist`** when visual identity needs synthesis: art references, palette, readability, asset groups, production standards, or conflicts between style and gameplay clarity.
### Drilling into Vague Ideas
When the user has a fuzzy idea — about the whole game or a single system — your job is to make it concrete through relentless, curious questioning. This is the core of the interview.
**How to drill:**
- When the user says something vague ("combat should feel impactful"), ask what specifically makes it impactful — is it animation, sound, damage numbers, controller rumble, enemy reaction, time-to-kill? Keep asking until the abstraction bottoms out in concrete mechanics. - When the user proposes a system, ask about its boundaries. What does it NOT do? What system owns the adjacent responsibility? A system without edges is still fuzzy. - When the user describes a player experience ("I want the player to feel lost"), ask what the game does to create that feeling. What does the player see, hear, and do? What information is withheld? What mechanics produce the emotion? - When the user references another game ("like Dark Souls but..."), isolate what exactly they want to keep and what they want to change. The reference is a shortcut — unpack it. - Ask about edge cases and failure states. What happens when the player ignores the system? What happens when they optimize it to the extreme? The answers reveal whether the system is understood or still hazy. - Ask about the player's moment-to-moment decisions. If the user can't describe what choices the player makes inside the system, the system isn't clear yet. - If an answer opens three new questions, pick the most foundational one first. Resolve dependencies before details.
**Signals that something is still vague and needs more drilling:**
- The user uses abstract adjectives without mechanics behind them ("fun", "smooth", "deep", "cool") - A system is named but its inputs, outputs, and rules are undefined - Two systems have overlapping or unclear boundaries - The user can describe what the system IS but not what the player DOES in it - Numbers are absent where they matter (how many? how long? how much?)
### Seed Extraction
If a concept hint was provided, first spawn `gat-designer` to extract what the hint already answers. Briefly summarize what's established so the user can confirm or correct before diving in. Skip if no hint.
### Interview Angles
Pick questions from any angle below. There is no fixed order — follow the thread that matters most at each moment. The table is a palette, not a checklist.
| # | Angle | Purpose | Example prompts | |---|-------|---------|-----------------| | 1 | **Genre & Style** | Establish the game's design identity and reference points | What genre(s) does this live in? What games should it feel like mechanically? Real-time or turn-based? 2D or 3D? Single-player, co-op, or competitive? | | 2 | **Visual Direction** | Establish the global art identity that will become `art-direction.md` | What should the game look like at a glance? Which art references fit or should be avoided? What palette, shape language, camera, readability, and production constraints matter? | | 3 | **Core Player Verb** | Pin down the primary action the player repeats | What does the player actually DO moment-to-moment — shoot, build, explore, talk, craft, steer, command? What makes that action satisfying? | | 4 | **Target Feeling** | Define the emotional experience | What should the player feel during play — tension, mastery, wonder, power, relaxation, social connection, fear, curiosity? When do they feel it most? | | 5 | **Fantasy & Role** | Clarify who the player is in the world | What fantasy does the game fulfill? Who is the player — hero, commander, survivor, creator, investigator, merchant? | | 6 | **Scope & Constraints** | Set boundaries early | Rough scope (jam, indie, commercial)? Platform? Timeline? Team size? Content rating? Hard constraints? Any visual production constraints like pixel art, low-poly, UI-heavy, asset reuse, or resolution limits? | | 7 | **Core Loop** | Map the repeatable cycle that drives engagement | What's the 30-second loop? The 5-minute loop? The session loop? What pulls the player back in? | | 8 | **Systems & Mechanics** | Explore what systems the game needs | What systems does the core loop imply? Which are essential vs. nice-to-have? What does each system depend on? | | 9 | **Progression & Goals** | Define how the player grows and what they strive for | Short-term goals? Long-term goals? Skill tree or gear-based? Linear or branching? How does difficulty ramp? | | 10 | **Economy & Resources** | Map currencies, sinks, and sources | What resources does the player manage? How are they earned and spent? Is there inflation risk? | | 11 | **Risk & Reward** | Balance tension against payoff | What does the player risk losing? What do they gain for taking risks? Is failure interesting or just punishing? | | 12 | **Player Agency** | How much control and choice the player has | Where do players make meaningful choices? Are choices tactical (moment-to-moment) or strategic (long-term)? Emergent or scripted? | | 13 | **Feedback & Juice** | How the game communicates back to the player | How does the player know they did something right? What visual/audio hooks sell the actions? Screen shake, particles, sound? Which of those hooks should drive the global art direction? | | 14 | **Onboarding & Clarity** | How the player learns the game | Tutorial or discovery? How do you teach without lecturing? What's the first thing a new player does? What must be readable instantly in the UI or scene? | | 15 | **Narrative & World** | Story, setting, and tone | Is there a story? Player-driven or authored? What's the tone? How does the world reinforce the mechanics and visual identity? | | 16 | **Multiplayer & Social** | Other humans in the experience | Cooperative, competitive, or solo with social features? Synchronous or asynchronous? How do players interact? | | 17 | **Replayability & Depth** | What keeps players coming back | Procedural generation, build variety, difficulty modes, secrets? What's different on run #2 vs. run #50? | | 18 | **Accessibility** | Who can play and how | Difficulty options? Color independence? Remappable controls? Reaction-time accommodations? What visual signals must not rely on color alone? | | 19 | **Monetization** | Business model (if applicable) | Premium, F2P, subscription? If F2P, what's sold and does it affect gameplay? Any dark patterns to avoid? | | 20 | **Platform & Controls** | Input method and platform constraints | Mouse/keyboard, controller, touch? How many buttons does the design assume? Platform-specific constraints? | | 21 | **Content Volume** | How much stuff the game needs | How many levels, enemies, items, abilities? Is content hand-crafted, procedural, or both? What's the MVP slice? Which asset groups must be planned globally? |
### Navigating the Interview
- **Start where the energy is.** If the user leads with a mechanic, start at Systems. If they describe a feeling, start at Target Feeling. If they mention a reference game, start at Genre & Style. - **Drill, don't move on.** When the user gives a vague or high-level answer, stay on that thread. Ask the follow-up that forces them to be specific. See "Drilling into Vague Ideas" above — this is where most of the value comes from. - **Dive when something is interesting.** A throwaway answer about "the world is post-apocalyptic" might open a rich thread about Narrative & World, Economy (scarcity), or Fantasy & Role. Follow it. - **Ask open-ended, resolve with options.** Most questions should be free-form dialogue — the user types their thoughts. Use `AskUserQuestion` only when you have 2-3 concrete design proposals and need the user to choose among them (e.g. picking a core loop direction, choosing between two system architectures). - **Spawn `gat-designer` mid-interview** when you need to synthesize answers into a concrete proposal (core loop draft, system list, trade-off analysis). Present what the agent returns, then ask about it. - **Spawn `gat-artist` mid-interview** when the visual identity is too vague or conflicting. Ask for a concise art-direction proposal: references, palette, shape language, readability priorities, asset groups, and production limits. Present the proposal, then ask the user what to keep or change. - **Loop back naturally.** If a later answer contradicts an earlier assumption, point it out and resolve the tension. Don't pretend consistency exists when it doesn't. - **Know when to stop.** The interview has covered enough when: - The core loop is clear and the user can describe it in their own words - The system list is named with rough dependencies - The global visual direction has references, palette or mood, readability priorities, and asset group strategy - Scope boundaries are set - The user starts repeating themselves rather than adding new information
## Phase 3: Write or Summarize
### If Mode is `design`
Before writing, summarize what's been decided across gameplay, systems, scope, and visual direction. Ask:
> "Ready to write the design docs?" > Options: `Yes, write them` / `Let me keep discussing`
If yes, read templates: - `.claude/docs/templates/design/game-overview.md` - `.claude/docs/templates/design/systems-index.md` - `.claude/docs/templates/design/global-art.md`
**Step 1** — Spawn `gat-designer` to write both foundational design files in one pass: - `gat/overview/game.md` - `gat/overview/systems-index.md`
Pass all interview answers, the confirmed system list with dependencies, and the game overview and systems index templates.
Instruct the designer to populate the **Key Design Decisions** section in `game.md`: record each foundational choice as a short paragraph, and add a **Why:** note when the rationale or rejected alternatives need to be stated — drawing from the interview's tension-re
Detalles técnicos
- Versión
- 1.0.0
- Licencia
- Unknown
- Última actualización
- 20 ago 2026
- Publicado
- 20 ago 2026
Resumen de decisión
Candidata de respaldo
recent repository activity
Auditoría
Revisión de instalación
Revisión de instalación y adopción
- Seguridad
- 74/100
- Mantenimiento
- 100/100
- Instalar
- 92/100
Evidencia probada por Agent
Evidencia probada por Agent
Informes de resultados tras resolver, revisar, instalar y una ejecución limitada.
- Tasa de éxito
- —
- Fallo reciente
- —
- Resultados
- 0
- Calidad de salida
- —
- Fallidos
- 0
- No relevante
- 0
- Instalaciones
- 0
- Bloqueado por riesgo
- 0
- Configuración necesaria
- 0
- Producción
- 0
Aún no hay datos de resultados de Agent. La primera ejecución puede informar éxito, configuración necesaria, bloqueos de riesgo, fallo o irrelevancia mediante /api/agent/outcome.
Instalar
Añadir al flujo de Agent
Gratis y de código abierto. Revisa el informe antes de instalar en Agents de producción.
Bucle de crecimiento
Kit para compartir
Borrador basado en un caso para gat-brainstorm, listo para publicar manualmente en X.
A practical pick for design or creative work: gat-brainstorm: Brainstorm a game idea through one-question-at-a-time designer interviews. Produces game.md, systems-index.md, and art-dire... 57 stars https://www.openagentskill.com/skills/yuki001-gat-brainstorm?ref=x
Respuesta opcional con comando de instalación
Listing + install path for gat-brainstorm: https://www.openagentskill.com/skills/yuki001-gat-brainstorm?ref=x Install: npx skills add Yuki001/game-dev-skills --skill gat-brainstorm
Fuente de la ficha
Indexado por Registry
Esta ficha se indexó desde fuentes públicas y no está marcada como oficial hasta que se apruebe una reclamación de mantenedor.
- Creador
- Yuki001
- Fuente
- Yuki001/game-dev-skills
- Indexado por
- Índice comunitario de OpenAgentSkill
La atribución enlaza al repositorio público o al perfil del creador. Los creadores pueden reclamar la ficha para actualizar las señales de propiedad.
Reclamar este skillReclamación del propietario
Reclamar esta ficha de skill
Esta ficha Indexado por Registry se atribuye a Yuki001, pero aún no está marcada como oficial. Reclámala para añadir una señal de propietario verificado y hacer más fiables futuras actualizaciones de lanzamiento, instalación y auditoría.
Kit de enlaces para creadores
Añade las insignias de evidencia a tu README
Muestra la ficha canónica, las señales actuales de confianza y auditoría, y evidencia real de Agent-Proven donde los desarrolladores evalúan el repositorio.
[](https://www.openagentskill.com/skills/yuki001-gat-brainstorm)
[](https://www.openagentskill.com/skills/yuki001-gat-brainstorm)
[](https://www.openagentskill.com/skills/yuki001-gat-brainstorm/audit)
[](https://www.openagentskill.com/skills/yuki001-gat-brainstorm)Autor
Yuki001
@yuki001
Etiquetas
Afinidad con plataforma
Señales de salud
- Estrellas de GitHub
- 57
- Puntuación de calidad
- 35/100
- Último push de GitHub
- 20 ago 2026
- Pistas del framework
- Desconocido
- Vistas de OpenAgentSkill
- 11
- Copias de instalación
- 0
- Clics externos
- 0
Señal de comunidad
Comparte si este skill resulta útil para tu flujo de Agent. Los comentarios agregados mejoran la clasificación con el tiempo.
Confianza y seguridad
Solo sandbox
- Adopción en GitHub57 estrellas de GitHubRevisar
- Actividad de stars/forks57 estrellas y 9 forks; la actividad de issues no está disponible en los metadatos actualesRevisar
- Mantenimiento reciente2 días desde el último pushAprobado
- Claridad de licenciaDesconocidoRevisar
- Completitud de README/SKILL.mdLos metadatos incluyen suficiente contexto de uso y flujo de trabajoAprobado
- Riesgo de dependencias/runtimeNo hay indicios importantes de riesgo de dependencias en los metadatos públicosAprobado
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