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Sbom Generate

Community
686f6c61
sbom-generate

Usar para generar Software Bill of Materials para cumplimiento del CRA. También: Software Bill of Materials, inventario de componentes, CycloneDX, SPDX, cadena de suministro.

Overview

Publisher686f6c61
Repositoryalfred-dev
Skill namesbom-generate
Stars
115
Forks
7
Bundled files
Instructions only
LicenseMIT
Links
  • Markdown instructions

    A SKILL.md file the model loads on demand, so it only costs tokens when a request actually matches.

  • Works with any LLM

    AI skills are plain Markdown, not provider-specific code, so this works with GPT, Claude, Gemini, Grok, or a local model.

  • Self-contained

    Everything the model needs lives in the instructions — no extra files to sync.

  • Open source

    Published by 686f6c61 on GitHub. Read the source before you install it.

Installation

Install the Sbom Generate AI skill in TypingMind to use it with any LLM, or drop it into another agent that reads SKILL.md.

1

Install in TypingMind

TypingMind installs a skill straight from its GitHub folder — it reads SKILL.md, bundles the resource files, and stores the result locally.

  1. Open the app and go to Plugins → Skills.
  2. Choose "Install from GitHub".
  3. Paste the skill folder URL below and confirm.
  4. Enable the skill in any chat where you want it available.
Plugins → Skills → Add skill → From GitHub URL, then paste the folder URL and press Continue.
2

Install in another agent

Any agent that reads the Agent Skills format can use this skill — copy the folder into that agent's skills directory.

Claude Code — .claude/skills
git clone --depth 1 https://github.com/686f6c61/alfred-dev.git /tmp/alfred-dev
mkdir -p .claude/skills
cp -r /tmp/alfred-dev/skills/sbom-generate .claude/skills/sbom-generate
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Sbom Generate in any TypingMind chat and the model takes it from there. Its name and description sit in the system prompt, and the moment a request matches, the model loads the full instructions itself — you never invoke it by hand, and it costs no tokens until it is actually used.

The model loads Sbom Generate on its own as soon as a request matches it.

Works with any AI model

AI skills are plain Markdown instructions rather than provider-specific code, so Sbom Generate is not tied to the model it was written for. Install it once in TypingMind and use it with GPT-5, Claude, Gemini, Grok, DeepSeek, Mistral, Llama, or a local model you run yourself — all on your own API keys.

  • Loaded only when it is needed

    The system prompt carries just the name and description. The instructions are fetched on the first matching request, so an idle skill costs nothing.

  • Switch models mid-chat

    Because the skill is instructions rather than code, changing model does not break it — the next model reads the same SKILL.md.

Skill instructions

This is the SKILL.md content the model loads. Read it before installing — a skill is instructions your model will follow.

Generar SBOM (Software Bill of Materials)

Resumen

Este skill genera un inventario completo de todos los componentes de software incluidos en el proyecto, tanto dependencias directas como transitivas. El SBOM es un requisito del Cyber Resilience Act (CRA) europeo y una práctica recomendada de seguridad de la cadena de suministro.

El SBOM permite responder rápidamente a preguntas como "usamos la versión afectada por esta vulnerabilidad?" sin necesidad de investigar manualmente cada proyecto.

Proceso

  1. Detectar el ecosistema y las fuentes de dependencias. Identificar todos los ficheros de lock o manifiesto del proyecto:

    • Node.js: package-lock.json, yarn.lock, pnpm-lock.yaml.
    • Python: requirements.txt, Pipfile.lock, poetry.lock.
    • Rust: Cargo.lock.
    • Go: go.sum.
    • Java: pom.xml, build.gradle.
    • PHP: composer.lock.
  2. Listar dependencias directas. Para cada dependencia directa, registrar:

    • Nombre del paquete.
    • Versión exacta instalada.
    • Licencia.
    • Proveedor o autor.
    • URL del repositorio.
    • Hash de verificación (si está disponible en el lock file).
  3. Listar dependencias transitivas. Repetir el mismo proceso para todas las dependencias de las dependencias. Las transitivas suelen ser la mayoría y las más difíciles de rastrear.

  4. Incluir componentes no gestionados por paquetes. Algunos componentes se incluyen de forma manual:

    • Librerías copiadas directamente (vendoring).
    • Scripts de terceros incluidos vía CDN.
    • Binarios precompilados.
    • Componentes del sistema operativo base (especialmente relevante en contenedores Docker).
  5. Generar en formato estándar. Usar uno de los dos formatos aceptados por la industria:

    • CycloneDX: formato JSON o XML, preferido por OWASP. Más ligero y centrado en seguridad.
    • SPDX: formato estándar ISO (ISO/IEC 5962:2021). Más completo en información de licencias.

    Si existen herramientas automáticas para el ecosistema (como cyclonedx-npm, syft, cdxgen), usarlas. Si no, generar manualmente con la plantilla templates/sbom.md.

  6. Verificar completitud. Cruzar el SBOM generado con el lock file para asegurar que no falta ninguna dependencia. Verificar que todas las licencias están identificadas (ninguna como "desconocida").

  7. Firmar o versionar el SBOM. Asociar el SBOM a una versión concreta del software (tag de Git, versión del paquete). El SBOM debe regenerarse con cada release.

Criterios de éxito

  • El SBOM incluye todas las dependencias directas y transitivas.
  • Cada componente tiene: nombre, versión, licencia, proveedor y hash.
  • El formato es compatible con CycloneDX o SPDX.
  • No hay licencias marcadas como "desconocida" sin justificación.
  • El SBOM está asociado a una versión concreta del software.
  • Se ha verificado la completitud contra el lock file del proyecto.

Frequently asked questions

What does the Sbom Generate AI skill do?

Usar para generar Software Bill of Materials para cumplimiento del CRA. También: Software Bill of Materials, inventario de componentes, CycloneDX, SPDX, cadena de suministro.

Why use Sbom Generate on TypingMind?

Because you install it once and use it with any model. Sbom Generate is plain Markdown rather than provider-specific code, so the same skill runs on GPT-5, Claude, Gemini, Grok, or a local model — and you can switch model mid-chat without it breaking. TypingMind runs on your own API keys, so you pay providers directly instead of a per-seat subscription, and your skills and chats stay in your own storage.

How do I install Sbom Generate in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/686f6c61/alfred-dev/tree/main/skills/sbom-generate. TypingMind reads its SKILL.md and installs it as a skill you can enable per chat.

Which AI models can use Sbom Generate?

Any model you connect in TypingMind. AI skills are plain Markdown instructions rather than provider-specific code, so GPT, Claude, Gemini, Grok, and local models can all load this skill when a request matches it.

How many AI models can I use with Sbom Generate?

As many as you like. As long as a model supports skills, you can use Sbom Generate with it — GPT, Claude, Gemini, Grok, DeepSeek, Mistral, Llama and more — all on TypingMind with your own API keys.

Is the Sbom Generate AI skill free?

Yes. It is published on GitHub by 686f6c61 under the MIT license. You only pay your own AI provider for the tokens you use.

What are AI skills?

An AI skill is a reusable instruction bundle that teaches an AI model how to do one specific task. It follows the open Agent Skills format: a SKILL.md file with a name and description, plus any scripts, templates or reference files the model may need. The model reads the instructions only when your request matches the skill, so an installed skill costs nothing until it is used.

How are AI skills different from plugins or MCP servers?

A plugin or MCP server gives a model new tools to call — code that runs somewhere and returns a result. An AI skill gives the model knowledge and process instead: how to approach a task, which steps to follow, what good output looks like. Skills are plain Markdown, so they need no server, no API key and no runtime, and they work with any model.

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