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newbieskill
newbieskill
Aprender IA
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Resultado real · comprobaciones registradas Muestra real · Markdown
Recorrido de 30 segundos

Workspace inspection: actual saved output

The Agent ran scripts/inspect-workspace.mjs on the public inputs/example/ folder.

Observed nameType
brief.mdfile
notes.txtfile

Scope: direct children only. File contents were not opened. No hidden, sensitive or linked items were present in this particular two-file input.

The report was saved to demo/output/agent-workspace-report.json and subsequently used by the preview and motion walkthrough. Separate fresh-script cases check filtering, a different Unicode input, missing material and refusal to overwrite an existing report.

This result describes an observed operation, not a promise that the Agent is restricted to this folder or automatically discovers every Skill.

Muestra presentada exactamente como fue generada Descargar muestra completa
Ejecución Codex Ejecutado por tu Agent; el cómputo de tokens se factura con tu proveedor de modelo
Entorno probado:
Codex · Windows
El Agent y el modelo se facturan según tu proveedor. Los requisitos y servicios adicionales figuran en el paquete.
Node.js 18+

En qué fases de la misión principal se usa

Los Skills son tu equipo en el camino del Agent. Conéctalos con la misión principal para dominarlo.

1-1 · Conoce al Agent e Instala tu Primera Herramienta →

Continúa con este resultado: Primera Asignación: Claridad al Comunicar →

✓ Ideal para ti si...
  • Principiantes de IA que aprenden con tareas reales
  • Empieza en la lección correspondiente; visitar una página no equivale a completar la tarea.
⊗ No recomendado para...
  • Operaciones ajenas a la tarea o acceso a cuentas sin autorización
✦ Lo que recibirás
  • Comprende la diferencia entre un chatbot y un agent; instala y ejecuta tu primer agent
  • El agent lista con precisión el contenido del directorio
  • Distingues la carpeta realmente inspeccionada de los permisos de acceso otorgados al Agent

Contenido entregado: archivo SKILL.md completo + muestra verificada. Se ejecuta en tu propio AI Agent.

¿Cómo empezar?

Un Skill es un conjunto de reglas que enseña a la IA a completar tareas.

Obtener e instalar ↑
1
Aporta tu material
Inicia el agent en cualquier carpeta y pregúntale: '¿Qué archivos hay en el directorio actual?'
2
Tu Agent sigue las reglas
Comprende la diferencia entre un chatbot y un agent; instala y ejecuta tu primer agent
3
Abre y comprueba el resultado
El agent lista con precisión el contenido del directorio
Enviar a tu AI Agent

Usa first-agent para ayudarme con esta tarea. Pide el material que falte, utiliza herramientas reales, guarda el resultado y compruébalo con los criterios de la lección.

Antes de empezar La evidencia indica su alcance. El modelo y los permisos dependen del Agent. Extraer archivos no demuestra el descubrimiento automático. El Agent y el modelo se facturan según tu proveedor. Los requisitos y servicios adicionales figuran en el paquete.

Empieza a utilizarlo aquí

El zip incluye reglas, biblioteca, scripts, salidas reales y el vídeo de demo; no es solo un archivo de prompt.

Descargar paquete completo (.zip) Descargar SKILL.md
  1. Abre Codex o Claude Code y pega el prompt de instalación.
  2. Deja que el Agent lea y guarde las reglas completas, confirmando su detección.
  3. Copia el ejemplo de uso anterior, añade tus notas y ejecuta.
Instalación manual · Ver SKILL.md completo (103 líneas)

Codex：~/.agents/skills/first-agent/SKILL.md
Claude Code：~/.claude/skills/first-agent/SKILL.md

--- name: first-agent description: Help an AI beginner complete their first real file inspection in an explicitly selected workspace, distinguish tool evidence from chat, and save a verifiable directory report. Use for the first level of the newbieskill learning path. --- # Meet your Agent: your first real action Turn “can this AI actually see my project?” into an answer backed by a real tool call. This is level 1 of the newbieskill main quest, not a general installation or system administration tool. ## What the learner receives - A list of the visible items directly inside the selected folder. - `workspace-report.json`, a machine-readable inventory of that folder. - A plain-language explanation of what was inspected, what was skipped, and what has not been tested. - The next task: create and revise a small file with `first-task`. ## Start from the learner's situation If no Agent is installed, direct the learner to the installation instructions on the learning page. Ask them to complete account login and open a folder in the Agent before continuing. Do not invent installation success or assume access to their desktop from an ordinary chat window. If they already opened an Agent in a folder, use that folder instead of repeating setup. ## The only required input An explicitly selected working folder is sufficient. Ask “Which folder should I inspect?” if the current workspace is unknown. Do not request an API key, email address, or the contents of private documents. Do not change the user's Agent settings or install another tool to complete this lesson. ## Workflow 1. Identify the current workspace with an available file or shell tool. 2. Tell the learner the folder you will inspect. Resolve an ambiguous path before continuing. 3. Read `references/inspection-boundaries.md` when deciding what may appear in the report. 4. Run the bundled script using Node.js 18 or newer: ```text node <installed-skill-directory>/scripts/inspect-workspace.mjs <selected-folder> <report-file> ``` 5. Put the report in a task output folder chosen by the learner, outside the folder being listed when practical. 6. Read the actual generated JSON. Summarize its items and skipped-item counts without pretending to have opened their contents. 7. Explain that this run inspected one selected folder, not the whole computer. Other locations require their own access and authorization. 8. Give the actual report path and continue to the next lesson if the learner wants to create a file. Paths containing spaces must be passed as separate, correctly quoted command arguments. Resolve the script relative to this installed Skill, not relative to the learner's project. If Node.js is unavailable, use the Agent's existing directory-listing tool and save the same report fields. Clearly identify that alternative; do not say the bundled script ran. ## Read the result correctly `items` contains names and types observed in this run. `skipped` reports hidden files, sensitive filenames and symbolic links without exposing their names. `scope` is always `direct-children-only`; nested folders have not been recursively inspected. An empty `items` array can be a correct result for an empty folder. The report does not prove the Agent can edit files, run every command, or access other folders. Those are separate tasks with separate evidence. ## Failure and recovery - Missing folder: explain the failed path and ask for a real folder; do not create it silently. - File supplied instead of a folder: ask for its containing folder. - Permission denied: ask for a folder already accessible to the Agent; do not elevate permissions automatically. - Existing report destination: choose a new filename or ask before replacing it; the script refuses overwrite. - Tool unavailable: explain what is missing and stop before claiming an inventory. - Only hidden or sensitive items: explain the omission policy, not “the directory contains no files”. ## Quality boundaries - Never infer a folder listing from the conversation or an example. - Never open `.env`, credentials, browser profiles or private documents for this lesson. - Do not follow symbolic links or recurse outside the selected folder. - Do not scan a home directory or a whole drive merely to find an example project. - Preserve all existing files. This lesson's sole write is its explicitly named new report. - Distinguish what a tool actually did from what the Agent might be able to do later. - Explain the result in familiar words; do not require the learner to understand JSON. ## Self-tests and failure criteria Run `node scripts/self-test.mjs` from this package. It executes the inspection script against fresh temporary folders rather than rechecking a saved report. 1. Normal material: two visible files and one folder produce exactly three named items; hidden and sensitive files are omitted. 2. Different material: a Unicode filename and an empty directory retain their exact names; counts match independently observed contents. 3. Missing material: a nonexistent folder fails, produces no report and explains the missing-folder error. 4. Existing output: a second write to the same destination fails and preserves the original bytes. Any mismatch, unexpected write, missing error or invented item is a failure. Keep outputs, executable commands and results in `demo/`; a test pass establishes these cases only. ## Learning route Main quest: `/path/first-agent/`. Next: `/path/first-task/` — create a file, then make a precise change in the same conversation. This Skill can also support later project-context and troubleshooting tasks. ## Rights Original newbieskill workflow and scripts. See `LICENSE` for reuse terms.

Preguntas frecuentes antes de empezar (FAQ)

Aclara cualquier duda antes de comprar y ejecútalo sin fricciones.

¿Cómo empiezo? +
Descarga el ZIP completo y entrega el prompt de instalación a tu Agent. Conserva juntos los scripts y las referencias. El modelo se factura por separado.
¿Es gratuito este Skill básico? +
Sí. La misión principal básica es gratuita. Los productos avanzados de Studio mantienen sus propios precios.
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