ai-assist-dockerize-website

Revisar · 54
Indexado en Registry

Guide the user through containerizing and serving a simple website or documentation folder with Docker — inspects the project to detect what to serve (ready-to-serve static HTML, a buildable site that emits static output, or a raw markdown/docs folder that needs rendering), gener

Verified installs0
Estrellas88
Versión1.0.0
Calidad61/100 · Prometedor
Confianza54/100 · Do not auto-install
Auditoría70/100 · Requiere revisión

Perfil del activo

Investigación y trabajo de conocimiento

Deep research, source comparison, literature review, RAG, knowledge search, and reports.

Ver categoría

Escenario

Agents de investigación

I need my agent to research a topic, compare sources, and produce a concise report.

Afinidad con Agent

Claude Code + Browser agents + CLI

Funciona con Codex, Claude Code, Cursor, CLI o Agents personalizados.

Instalar

Listo

npx skills add jparkerweb/ai-assist-skills --skill ai-assist-dockerize-website

Mantenimiento

Actual

1 días desde el último push

Riesgo

Requiere revisión

La licencia no está clara

Calidad de GitHub

88

61/100 Calidad · 62/100 Confianza

Etiquetas de cobertura

InvestigaciónAgents de investigaciónagent-skill

Notas de revisión

La licencia no está clara · Dependency or permission surface needs review

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

Prometedor
61

Useful candidate, but compare it with alternatives before adopting.

Confianza

Do not auto-install
54

Trust Score v5 found insufficient evidence for agent installation. Treat this as discovery material, not an executable recommendation.

Auditoría

Requiere revisión
70

Revisión 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

Choose a stronger alternative or inspect the source manually before any install attempt.

CodexClaude CodeCursorOpenAgentSkill CLI

Estrellas

88 estrellas de GitHub

Actividad del repositorio

88 estrellas y 12 forks

Mantenimiento

1 días desde el último push

Licencia

Desconocido

Instalar

npx skills add jparkerweb/ai-assist-skills --skill ai-assist-dockerize-website

Seguridad de instalación

Ruta estándar de paquete o instalación en tiempo de ejecución

Superficie de permisos

secrets or environment access, shell or command execution

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 ambiguity about the legal terms for reuse.
  • 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.

Abrir JSON

Tareas adecuadas

  • Flujos de Agents de investigación
  • Equipos de Claude Code
  • builders willing to evaluate younger projects
  • Fuentes de búsqueda

Agents adecuados

CodexClaude CodeCursorOpenAgentSkill CLIBrowser agentsCLI

Decisión de instalación

Comando
npx skills add jparkerweb/ai-assist-skills --skill ai-assist-dockerize-website
Política
Bloquear
Revisión humana

Confianza y riesgo

Confianza
54/100
Auditoría
70/100
Nivel de riesgo
Requiere revisión

Ciclo de resultados

Endpoint
/api/agent/outcome
ID del evento
resolve
Resultados
5

Comando de instalación

npx skills add jparkerweb/ai-assist-skills --skill ai-assist-dockerize-website

No usar cuando

  • Equipos que necesitan un SLA con soporte del proveedor
  • production agents without a repository review
  • Repository license is unknown, which creates ambiguity about the legal terms for reuse.
  • Indicios de permisos de alto riesgo: Shell or command execution, Secrets or environment access
  • La licencia no está clara

Seguridad de Agent v2

26/100 · Evitar instalación automática

Blocked for auto-installBloquear

This skill should not be selected by an agent without explicit human security review.

Do not auto-install. Inspect the source, dependencies, and permission surface first.

Resolver con API

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: Shell or command execution, Secrets or environment access
  • 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.

skill install

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 jparkerweb-ai-assist-dockerize-website

Plan 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 plan de texto

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 ai-assist-dockerize-website in this workspace.
Resolve first: https://www.openagentskill.com/api/agent/resolve?task=Use%20ai-assist-dockerize-website%20for%20an%20agent%20workflow&agent=codex&max_risk=medium
Review install handoff: https://www.openagentskill.com/api/skills/jparkerweb-ai-assist-dockerize-website/install
Install command: npx skills add jparkerweb/ai-assist-skills --skill ai-assist-dockerize-website
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.

Abrir API de instalación

Prompt de Agent

Use ai-assist-dockerize-website for this task. Review https://www.openagentskill.com/api/skills/jparkerweb-ai-assist-dockerize-website/install, then install with: npx skills add jparkerweb/ai-assist-skills --skill ai-assist-dockerize-website

Metadatos 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.

Abrir Manifest

Afinidad con Agent

63/100

Agents de investigación

Plataformas

Claude Code, Browser agents

Informe de auditoría

Requiere revisión · 70/100

Revisión legible por máquina de la preparación de instalación, los metadatos de seguridad, el mantenimiento y el riesgo de adopción.

Ver informe de auditoríaVer informe de evaluación

Panel de decisión de Agent

Fallback candidate for Research agents

Prototype with this skill first; keep a fallback candidate ready.

63
Preparación
Prototipo
Etapa

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 61/100
  • 10 eventos de interacción de OpenAgentSkill

revisar primero

  • Repository license is unknown, which creates ambiguity about the legal terms for reuse.

Ruta de implementación

  1. 1Instálalo en un Agent de sandbox y ejecuta una tarea de Agents de investigación de principio a fin.
  2. 2Compare output quality, latency, and failure behavior against at least one alternative.
  3. 3Promote it into production only after reviewing repository permissions, license, and maintenance signals.

Perfil de confianza

Do not auto-install

Trust Score v5 found insufficient evidence for agent installation. Treat this as discovery material, not an executable recommendation.

54
Trust Score de OpenAgentSkill

Adopción en GitHub

Revisar

88 estrellas de GitHub

Actividad de stars/forks

Revisar

88 estrellas y 12 forks; la actividad de issues no está disponible en los metadatos actuales

Mantenimiento reciente

Aprobado

1 días desde el último push

Claridad de licencia

Revisar

Desconocido

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 ambiguity about the legal terms for reuse.
  • Financial research output is not financial advice; require human review before any live investment decision.
  • La licencia no está clara
  • Quality score needs review
  • Permission surface needs review: secrets or environment access, shell or command execution
  • GitHub adoption: 88 GitHub stars
  • Stars/forks activity: 88 stars, 12 forks; issue activity unavailable in current metadata
  • License clarity: Unknown
  • Dependency/runtime risk: command execution surface, credential or environment access
  • Permission surface: secrets or environment access, shell or command execution
  • Aún no hay informes reales de resultados del Agent
  • Se requiere revisión humana antes de una instalación desatendida

Acción recomendada

Choose a stronger alternative or inspect the source manually before any install attempt.

Perfil de calidad

Prometedor candidato para flujos de Agent

Useful candidate, but compare it with alternatives before adopting.

61
Estrellas de GitHub
88
Actualidad
hace 1 días
Listo para instalar
Licencia
Desconocido
Revisar antes de instalar: Repository license is unknown, which creates ambiguity about the legal terms for reuse.

Ajuste de flujo

Usa esta skill en estos escenarios

Ajuste de flujo

Añadir a un flujo completo

Lista de alternativas

Compara antes de instalar

Similar skills that may fit this task.

Comparar todo

Resumen

--- name: ai-assist-dockerize-website description: "Guide the user through containerizing and serving a simple website or documentation folder with Docker — inspects the project to detect what to serve (ready-to-serve static HTML, a buildable site that emits static output, or a raw markdown/docs folder that needs rendering), generates a Dockerfile, .dockerignore, docker-compose.yml, helper run/build commands, and a 'Running with Docker' README section, then offers to build and smoke-test the container and publish the image to Docker Hub or GHCR. Uses nginx:alpine for static content and a multi-stage build when the site must be generated. Only invoke when the user explicitly types /ai-assist-dockerize-website. Never auto-trigger from general conversation about Docker, containers, websites, or Dockerfiles." argument-hint: "[path-to-site-or-docs-folder] [--port <port>]" ---

# Dockerize a Website

This skill is invoked **manually** — only when the user explicitly runs `/ai-assist-dockerize-website`. Don't auto-trigger it from general talk about Docker, containers, or websites.

Guide the user from a project folder to a working Docker container that serves their site or documentation. The skill is **interactive and guided**, not a one-shot script: inspect the project, propose a sensible plan, confirm a few details, generate the files, then offer to build/test and publish.

The spine is: **detect → confirm → generate → offer to test → offer to publish.** Lead with a good default at every step so the user is confirming, not configuring from scratch.

## When to use

Use this whenever the user wants to serve a *static* website or a *documentation* folder out of a container — loose HTML/CSS/JS, the build output of a site generator, or a folder of markdown docs. The "project with a docs folder" case is the bullseye.

## Out of scope — dynamic apps

This skill serves static content. If the project is a **dynamic app** that runs code per request — an Express/Fastify/Nest server, Next.js in SSR mode, Flask/Django/FastAPI, a Go/Rust web server, anything with a long-running `start`/`serve` process and a port it listens on — stop and say so plainly. Containerizing those means basing the image on the app's own runtime and running its start command, which is a different job. Detect this case (see below), tell the user, and don't half-build a static image that won't actually run their app.

Don't leave them stranded, though. After declining, offer a real next step: a correct container for a dynamic app is based on the app's own runtime (e.g. `node:22-alpine`), installs its dependencies, runs the start command, and exposes the port the app listens on. Offer to hand-write that separately — it's just outside this skill's static-hosting scope.

## Step 1 — Inspect and classify the project

Before asking anything, look at what's there so the proposal is concrete. If the user named a folder (argument or in their message), focus on it; otherwise scan the working directory.

Classify into one of four strategies:

| Signals found | Strategy | |---|---| | An `index.html` ready to serve — at the project root, or in `dist/`, `build/`, `out/`, `public/`, `_site/`, `site/`, `www/` | **A · Ready static** — single-stage nginx, copy the folder in | | Site-generator tooling: `package.json` with a `build` script + a static framework (Vite, Astro, Eleventy, Docusaurus, Gatsby, SvelteKit static), or a config file (`mkdocs.yml`, `docusaurus.config.*`, `astro.config.*`, `_config.yml`, `hugo.toml`/`config.toml`, `.eleventy.js`) | **B · Buildable** — multi-stage build → nginx | | A folder of `.md` docs with **no** generator configured | **C · Raw docs** — offer to render (recommended) or serve as-is | | A long-running server: `package.json` `start` runs a server (`node server.js`), source calls `.listen()`, or a web framework (Express, Next SSR, Flask, Django, FastAPI, Go/Rust server) | **D · Dynamic app** — stop, explain, don't build |

State your finding in one line — e.g. *"Found a built site in `dist/` with an `index.html`, so I'll serve it directly with nginx (strategy A)."* — and let the user correct you if the detection is off.

For **strategy B and C**, the build/render details live in `references/recipes.md`. Read that file when you land on those paths — it has the multi-stage Dockerfiles per generator (Node SSGs, MkDocs, Hugo, Jekyll), the SPA fallback config, the raw-markdown render path, caching headers, the non-root variant, and a Caddy alternative.

## Step 2 — Confirm the details

Pre-fill every answer from Step 1 so these are quick confirmations, not an interrogation:

- **What to serve** — the folder (strategy A) or the build output directory (strategy B/C). Show the path you detected. - **Port** — what host port to expose. Default `8080` (avoids clashing with anything already on `80`). Honor `--port` if given. - **Image / container name** — propose one lowercase-hyphenated name for both. Default to the **project folder** name, but prefer a more meaningful name when one is obvious — a `package.json` `name`, or a clear title in the README — e.g. favor `marketing-site` over a generic folder like `app` or `vite-app`. Always let the user override. - **Compose?** — yes by default (one-command up/down). Mention they can skip it. - For **strategy C**, confirm they want the docs *rendered* (recommended — browsers download raw `.md` instead of displaying it) versus served as raw files.

Skip questions whose answers are obvious or already given. The user invited a guided flow, not a form.

## Step 3 — Generate the artifacts

Generate all of these, tailored to the chosen strategy. Substitute the real folder, port, and names — don't leave placeholders in the files you write.

### Dockerfile (strategy A — ready static)

```dockerfile # syntax=docker/dockerfile:1 FROM nginx:1.27-alpine

# Copy the site into nginx's web root. COPY <SITE_DIR>/ /usr/share/nginx/html/

EXPOSE 80

# Fail the container's health check if nginx stops serving. # busybox wget ships in the alpine image, so no extra install is needed. HEALTHCHECK --interval=30s --timeout=3s --start-period=5s \ CMD wget -q --spider http://localhost/ || exit 1 ```

Pin the base image to a real minor tag (e.g. `nginx:1.27-alpine`) rather than the floating `nginx:alpine`, so a rebuild months from now doesn't silently pull a different nginx. Mention this so the user knows to bump it deliberately.

The build context is the project root (compose uses `build: .`), so `COPY` paths are relative to it: copy the served folder by its path from the root — `COPY public/ …` when the site lives in `public/`, or `COPY . …` when the site *is* the project root (then lean on `.dockerignore` to keep junk out).

For **strategy B/C**, use the matching multi-stage Dockerfile from `references/recipes.md` — a builder stage runs the generator, and only its static output is copied into the nginx stage, so build tooling never ships in the final image.

### .dockerignore

Keep the build context small and the image clean:

```gitignore .git .gitignore node_modules npm-debug.log* .env .env.* .DS_Store Thumbs.db Dockerfile* .dockerignore docker-compose*.yml ```

Tailor it to the project. For a multi-stage build (strategy B/C), also ignore the local build-output directory (`dist`, `build`, `_site`, `out`, `site`, …) — it's regenerated inside the image, and shipping a stale host copy into the build context only bloats it. The "don't ignore your content" rule is about *source* you serve directly (strategy A), not generated output.

### docker-compose.yml

```yaml services: web: build: . image: <IMAGE_NAME>:latest container_name: <CONTAINER_NAME> ports: - "<HOST_PORT>:80" restart: unless-stopped healthcheck: test: ["CMD", "wget", "-q", "--spider", "http://localhost/"] interval: 30s timeout: 3s retries: 3 start_period: 5s ```

No top-level `version:` key — it's obsolete in Compose v2 and prints a warning.

### Helper commands + README section

Append a "Running with Docker" section to the project's `README.md` (or create a short `DOCKER.md` if there's no README). The commands are identical in PowerShell and bash, so no per-shell variants are needed.

The block below is the template; its outer 4-backtick fence is only the boundary so the inner blocks display here. When you write the actual file, use normal **3-backtick** fences for the `bash` blocks — don't copy the 4-backtick wrapper.

````markdown ## Running with Docker

This site is served by nginx in a container.

### Quick start (Docker Compose)

```bash docker compose up -d --build # build the image and start in the background # open http://localhost:<HOST_PORT> docker compose logs -f # follow logs docker compose down # stop and remove ```

### Without Compose

```bash docker build -t <IMAGE_NAME> . docker run -d --name <CONTAINER_NAME> -p <HOST_PORT>:80 <IMAGE_NAME> docker stop <CONTAINER_NAME> && docker rm <CONTAINER_NAME> ``` ````

After writing the files, summarize what you created and the one command to run it.

## Step 4 — Offer to build and smoke-test

Don't build automatically — the user may not have Docker running, or may want to review the files first. Ask: *"Want me to build it and confirm it serves?"*

If yes:

1. Check the daemon is up first with `docker info`. If it fails, tell the user to start Docker Desktop and stop here — the files are already written and ready whenever they are. 2. Build and start: `docker compose up -d --build` (or `docker build` + `docker run` if they skipped compose). 3. Smoke-test the URL — request `http://localhost:<HOST_PORT>/` and confirm an HTTP 200 with non-empty HTML. On Windows use `curl.exe` or PowerShell's `Invoke-WebRequest`; give nginx a second to come up and retry once or twice before calling it a failure. 4. Report the result. Leave it running if they want to look at it, or tear down with `docker compose down`. If you started a throwaway container by hand, clean it up.

If the build or smoke-test fails, read the actual error (`docker compose logs`) and fix the real cause — a wrong output directory, a missing build step, a port already in use — rather than guessing.

## Step 5 — Offer to publish (optional)

Once it runs locally, offer to push the image to a registry so it can be shared or deployed. Only do this if the user wants it. Read `references/registry-publish.md` for the Docker Hub and GHCR walkthrough (login, tag, push, image naming, and the multi-arch `--platform` note for Apple-Silicon-built images headed to amd64 servers).

## Conventions and rationale

- **nginx:alpine for static** — tiny, battle-tested, zero app code to maintain. Reach for the Caddy alternative (in recipes) only when the user wants dead-simple config or automatic file serving. - **Multi-stage when building** — the final image carries only the rendered site, not Node/Python/Hugo and their caches. Smaller image, smaller attack surface. - **Pin the base image** to a minor tag so rebuilds are reproducible. - **Default to port 8080** on the host to avoid colliding with whatever already owns `80`. - **Non-root** is available via `nginxinc/nginx-unprivileged` (recipes) for stricter environments — note it as an option rather than forcing it. - **No secrets in the image** — static hosting rarely needs any; if the user mentions API keys or env config, that's a sign this is really a dynamic app (strategy D).

## Reference files

- `references/recipes.md` — multi-stage Dockerfiles per generator (Node SSGs, MkDocs, Hugo, Jekyll), the raw-markdown render path, SPA fallback, caching headers, non-root, and the Caddy alternative. Read it for strategy B or C. - `references/registry-publish.md` — pushing the image to Docker Hub or GHCR. Read it for Step 5.

Detalles técnicos

Versión
1.0.0
Licencia
Unknown
Última actualización
23 ago 2026
Publicado
21 ago 2026

Resumen de decisión

Candidata de respaldo

63
Listo
Prototipo
Etapa

recent repository activity

Auditoría

Revisión de instalación

Revisión de instalación y adopción

70
Requiere revisión
Seguridad
63/100
Mantenimiento
100/100
Instalar
92/100
Abrir auditoría completaVer informe de evaluación

Evidencia probada por Agent

Evidencia probada por Agent

Informes de resultados tras resolver, revisar, instalar y una ejecución limitada.

0
Probado
Needs first agent runAuto-instalación: revisar primeroÚltimo: Desconocido
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

X

Borrador basado en un caso para ai-assist-dockerize-website, listo para publicar manualmente en X.

Nota del curador
ai-assist-dockerize-website: Guide the user through containerizing and serving a simple website or documentation folder wi...

88 stars

https://www.openagentskill.com/skills/jparkerweb-ai-assist-dockerize-website?ref=x
Abrir borrador de X
Respuesta opcional con comando de instalación
Listing + install path for ai-assist-dockerize-website:
https://www.openagentskill.com/skills/jparkerweb-ai-assist-dockerize-website?ref=x

Install: npx skills add jparkerweb/ai-assist-skills --skill ai-assist-dockerize-website

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Creador
jparkerweb
Indexado por
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Esta ficha Indexado por Registry se atribuye a jparkerweb, 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.

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[![Listed on OpenAgentSkill](https://www.openagentskill.com/api/badge/jparkerweb-ai-assist-dockerize-website?metric=listed&label=Listed)](https://www.openagentskill.com/skills/jparkerweb-ai-assist-dockerize-website)
[![OpenAgentSkill Trust](https://www.openagentskill.com/api/badge/jparkerweb-ai-assist-dockerize-website?metric=trust&label=Trust)](https://www.openagentskill.com/skills/jparkerweb-ai-assist-dockerize-website)
[![OpenAgentSkill Audit](https://www.openagentskill.com/api/badge/jparkerweb-ai-assist-dockerize-website?metric=audit&label=Audit)](https://www.openagentskill.com/skills/jparkerweb-ai-assist-dockerize-website/audit)
[![Agent Proven](https://www.openagentskill.com/api/badge/jparkerweb-ai-assist-dockerize-website?metric=proven&label=Agent%20Proven)](https://www.openagentskill.com/skills/jparkerweb-ai-assist-dockerize-website)

Autor

J

jparkerweb

@jparkerweb

Etiquetas

Afinidad con plataforma

Señales de salud

Estrellas de GitHub
88
Puntuación de calidad
37/100
Último push de GitHub
22 ago 2026
Pistas del framework
Desconocido
Vistas de OpenAgentSkill
10
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

Do not auto-install

54
  • Adopción en GitHub88 estrellas de GitHubRevisar
  • Actividad de stars/forks88 estrellas y 12 forks; la actividad de issues no está disponible en los metadatos actualesRevisar
  • Mantenimiento reciente1 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/runtimecommand execution surface, credential or environment accessCorregir