ai-assist-prototype

Revisar · 51
Indexado en Registry

Build self-contained, double-click-to-open HTML prototypes so the user can vet an interface before it gets built. One file holds several structurally different variants of a page, app screen, component, flow, or terminal/TUI layout (rendered in-browser), plus a draggable Design D

Verified installs0
Estrellas88
Versión1.0.0
Calidad61/100 · Prometedor
Confianza51/100 · Do not auto-install
Auditoría69/100 · Requiere revisión

Perfil del activo

Diseño y producción creativa

Design assets, images, video, audio, multimodal media, presentation, and creative production skills.

Ver categoría

Escenario

Diseño y creatividad

I need my agent to produce design assets, UI directions, presentations, or creative media workflows.

Afinidad con Agent

Claude Code + Cursor + Browser agents

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

Instalar

Listo

npx skills add jparkerweb/ai-assist-skills --skill ai-assist-prototype

Mantenimiento

Actual

Actualizado hoy

Riesgo

Requiere revisión

La licencia no está clara

Calidad de GitHub

88

61/100 Calidad · 59/100 Confianza

Etiquetas de cobertura

DiseñoDiseño y creatividadDiseño y creatividadagent-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
51

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

Auditoría

Requiere revisión
69

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

Actualizado hoy

Licencia

Desconocido

Instalar

npx skills add jparkerweb/ai-assist-skills --skill ai-assist-prototype

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 (GitHub detected 'Unknown'), which creates legal ambiguity for users and contributors.
  • 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 Browser automation
  • Equipos de Claude Code
  • builders willing to evaluate younger projects
  • Navigate pages

Agents adecuados

CodexClaude CodeCursorOpenAgentSkill CLIBrowser agentsCLI

Decisión de instalación

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

Confianza y riesgo

Confianza
51/100
Auditoría
69/100
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-prototype

No usar cuando

  • Equipos que necesitan un SLA con soporte del proveedor
  • production agents without a repository review
  • Repository license is unknown (GitHub detected 'Unknown'), which creates legal ambiguity for users and contributors.
  • Indicios de permisos de alto riesgo: Shell or command execution, Secrets or environment access
  • La licencia no está clara

Seguridad de Agent v2

21/100 · 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-prototype

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

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

60/100

Browser automation

Plataformas

Claude Code, Cursor, Browser agents

Informe de auditoría

Requiere revisión · 69/100

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 Browser automation

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

60
Preparación
Prototipo
Etapa

Rol en la pila

Candidata de respaldo

Ajuste principal

Browser automation

Etiqueta de confianza

Prototipar primero

Ruta de instalación

Comando listo

Úsalo cuando

  • flujos de Browser automation
  • 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
  • 1 eventos de interacción de OpenAgentSkill

revisar primero

  • Repository license is unknown (GitHub detected 'Unknown'), which creates legal ambiguity for users and contributors.

Ruta de implementación

  1. 1Instálalo en un Agent de sandbox y ejecuta una tarea de Browser automation 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.

51
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

Actualizado hoy

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 (GitHub detected 'Unknown'), which creates legal ambiguity for users and contributors.
  • 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
Hoy
Listo para instalar
Licencia
Desconocido
Revisar antes de instalar: Repository license is unknown (GitHub detected 'Unknown'), which creates legal ambiguity for users and contributors.

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-prototype description: "Build self-contained, double-click-to-open HTML prototypes so the user can vet an interface before it gets built. One file holds several structurally different variants of a page, app screen, component, flow, or terminal/TUI layout (rendered in-browser), plus a draggable Design Deck for flipping between variants, tuning fonts, colors, spacing, shape, motion and 'feel' with live dials, trying vibe presets, checking viewport sizes and light/dark, pinning comments on elements, and an 'Export to LLM' button that copies the chosen variant and every dial value as a handoff block to paste back to the agent. Use this whenever the user wants to prototype, mock up, wireframe, explore options for, or sanity-check a UI (landing page, dashboard, settings page, onboarding, form, mobile screen, component, CLI/TUI layout), or says 'what should this look like', 'show me a few options', 'let me tweak it before we build', 'vet the design'. Also use it when the user pastes a block starting with 'AI-ASSIST PROTOTYPE HANDOFF': that is this skill's export and tells you which variant and settings they chose. Triggers on: prototype, mockup, wireframe, design options, variations, vet the UI, tweak the look, TUI mockup, design handoff." argument-hint: "[what to prototype, e.g. 'settings page, 3 variants' | or paste an AI-ASSIST PROTOTYPE HANDOFF block]" ---

# Prototype

Build a throwaway-but-polished prototype the user can open by double-clicking, explore, tune, and hand back to you with a structured export. The spine is: **brief → plan variants → build one file → verify → hand over → receive the handoff → iterate or implement.**

Three ideas make this useful rather than another mockup generator:

- **Variants explore structure, dials explore feel.** Variants differ in layout, information hierarchy and primary affordance. Colors, fonts, spacing, radius, elevation and motion are live dials that work on every variant, so never spend a variant on a recolor. - **One self-contained file.** No server, no build, no dependencies, no account. It survives being emailed to a PM or designer, who can tune it and export their decision without you in the room. - **The export closes the loop.** "Export to LLM" copies a handoff block (chosen variant, changed dials, notes, pinned comments, resolved CSS variables). The user pastes it back; you read it and either iterate or implement the real thing.

## Modes: detect from the input

| Input | Mode | |---|---| | A brief, a feature, a page, "what should this look like", "show me options" | **Build** (this is the bullseye) | | "add a variant", "make B denser", "tweak the prototype", an existing `prototypes/*.html` mentioned | **Iterate** | | A pasted block starting with `AI-ASSIST PROTOTYPE HANDOFF` or JSON with `"schema": "ai-assist-prototype/handoff@1"` | **Receive** (see "Receiving a handoff") |

## What you produce

- `prototypes/<slug>.parts.html`: the source you author. A JSON manifest plus one `<template data-variant="…">` per variant. Small, readable, diffable. - `prototypes/<slug>.html`: the deliverable, assembled by `scripts/build-prototype.mjs` from the parts file and the harness in `assets/template.html`. Never hand-copy or retype the harness; it is large and must stay intact.

Default location is `prototypes/` at the project root (create it). Put it next to the feature instead if the repo clearly organizes design artifacts elsewhere, and follow an explicit user path over either.

The built file contains the **Design Deck**, a draggable floating panel that:

- flips between variants (◀ ▶, or ← → keys), and between screens inside a variant when the variant declares them - offers vibe presets (Neutral, Calm, Bold, Editorial, Playful, Technical, Midnight, Mono, plus any you add) and ~25 dials: Feel macros (warmth, energy), Type (display/body fonts from a curated Google Fonts list, base size, scale, line height, tracking, weights), Color (light/dark, accent hue/sat/light, secondary hue shift, neutral hue/tint, surface depth, contrast), Shape (radius, border, elevation), Space (density, container width), Motion, and any custom controls the manifest adds - previews at Fit / 390 / 820 / 1280 / 1536 widths (each variant is its own document, so real media queries respond) - collects notes and click-to-pin comments on elements, saves snapshots to compare looks, and persists everything in `localStorage` per prototype - **Export to LLM** copies the handoff block; JSON copies only the JSON; View shows it for manual copy when the clipboard is blocked

TUI prototypes use the same file and deck with a terminal-specific dial set (theme, font, columns/rows, border glyphs, cursor, CRT scanlines).

## Step 1: Get the brief (fast)

Pin these down, from `$ARGUMENTS`, the conversation, and the repo, before planning:

- **Subject and audience**: what is being designed, for whom, and the one job the screen has. - **The design question**: what the prototype should settle ("table or cards?", "wizard or single form?", "does the sidebar earn its space?"). The export carries this brief, so write it as a real sentence. - **Kind**: `web` by default; `tui` when the subject is a terminal/CLI tool (ncurses, Ink, Bubble Tea, Textual, ratatui, a curses dashboard, a CLI wizard). - **Variant count**: default 3, cap 5. Fewer when the question is narrow, never more than five (they stop being different and start being noise). - **Where to save**: default `prototypes/<slug>` as above.

Look around the repo for things that make the prototype feel like *their* product rather than a generic page: a `DESIGN.md` (the `ai-assist-design-creator` output), `tailwind.config.*`, CSS custom properties, an existing nav/header, brand name, real entity names and data shapes, existing copy. Seed the manifest `defaults` and a brand preset from them and use the real content. Say what you reused.

Ask at most one or two questions, and only ones whose answer changes the work (for example, which existing page hosts this, or web vs TUI when genuinely ambiguous). If the user is not around, state your assumptions in the plan and build anyway; a prototype that exists is easy to redirect, a questionnaire is not.

## Step 2: Plan the variants

Read `references/variant-playbook.md` for archetype menus per surface type, content rules, the quality floor and the self-critique checklist. Then write a compact plan:

| id | name | thesis (what this variant bets on) | structure in one line | |---|---|---|---| | `ledger` | Ledger | Power users scan; a dense table beats cards | top nav, KPI strip, full-width table, detail screen | | `beds` | Garden beds | Spatial grouping mirrors the real garden | sidebar of beds, card grid, detail screen | | `journal` | Journal | One thing at a time, phone-first | single column feed, sticky primary action |

Hold the set to a structural-diversity test: if two variants would look alike with the same preset applied, one of them is a recolor, so redo it with an explicit structural constraint ("no card grid", "no sidebar", "list + detail"). Decide up front which screens a variant needs (usually a main screen and one drill-in), which custom controls earn a dial (sidebar width, density of a specific table, a chart style: things a dial can express and the user will actually want to tune), and one or two brand presets.

Show the plan in chat in a few lines and proceed. If the user is present they can redirect before you build; do not block on approval.

## Step 3: Build the parts file and assemble

Read `references/token-contract.md` before writing any CSS. It lists the manifest schema, every dial, every `--pt-*` variable the dials drive, the helper classes, screens, and the `PT` bridge API. For `kind: "tui"` also read `references/tui-prototypes.md`.

Author `prototypes/<slug>.parts.html`:

```html <script type="application/json" id="pt-manifest"> { "schema": "ai-assist-prototype/manifest@1", "id": "garden-dashboard", "name": "Garden Companion · dashboard", "kind": "web", "brief": "Home screen for a garden planner. Hobby gardeners on laptop and phone. Table-first, sidebar cards, or journal feed?", "controls": "web", "defaults": { "accentHue": 140, "fontDisplay": "Fraunces" }, "extraControls": [ { "id": "sidebarWidth", "label": "Sidebar width", "group": "Layout", "type": "range", "min": 200, "max": 340, "step": 10, "default": 260, "unit": "px", "var": "--x-sidebar-w" } ], "presets": { "Garden": { "accentHue": 140, "neutralHue": 90, "radius": 12 } }, "variants": [ { "id": "ledger", "name": "Ledger", "thesis": "Dense table for scanning", "screens": [{ "id": "home", "name": "Today" }, { "id": "plant", "name": "Plant" }] }, { "id": "beds", "name": "Garden beds", "thesis": "Sidebar of beds, cards per plant", "tokens": { "radius": 16 } } ] } </script>

<template data-variant="ledger"> <style> .hero h1 { font-size: var(--pt-t-3xl); } .card { background: var(--pt-surface); border: var(--pt-border) solid var(--pt-border-color); border-radius: var(--pt-radius); padding: var(--pt-s-5); box-shadow: var(--pt-shadow-sm); } @media (max-width: 720px) { .kpis { grid-template-columns: 1fr 1fr; } } </style> <section data-screen="home" data-screen-name="Today"> … </section> <section data-screen="plant" data-screen-name="Plant" hidden> … </section> <script> PT.root.addEventListener('click', e => { const g = e.target.closest('[data-go]'); if (g) PT.go(g.dataset.go); }); </script> </template> ```

Authoring rules that make the dials and the export work:

- **Consume tokens, never hardcode the look.** Colors via `--pt-bg / --pt-surface / --pt-surface-2 / --pt-text / --pt-text-muted / --pt-border-color / --pt-accent / --pt-accent-soft / --pt-accent-2`, type via `--pt-font-display / --pt-font-body` and `--pt-t-xs … --pt-t-5xl`, spacing via `--pt-s-1 … --pt-s-9`, shape via `--pt-radius*`, `--pt-border`, `--pt-shadow-sm/md/lg`, motion via `--pt-dur-*`. Decorative illustration (a gradient thumbnail) may use accent-derived vars; the validator warns on anything else. - **Each variant is its own document.** Plain selectors are safe, `@media` queries work, the Deck's viewport buttons resize the document. Base styles and optional helpers (`.pt-container`, `.pt-card`, `.pt-btn`, `.pt-btn-primary`, `.pt-input`, `.pt-badge`, `.pt-muted`, `.pt-eyebrow`) are present; use them or style your own structure. - **Real content.** The product's words, entities and realistic quantities. No lorem ipsum, no "Item 1". Placeholder art is CSS gradients or inline SVG, never remote images. - **Light interactivity is welcome** (tabs, hover, open a detail screen, toggle a state) with in-memory data, no network, no persistence. Inline `<script>` in a template runs when that variant mounts; `PT.root` is its document, `PT.go(id)` switches screens, `PT.tokens()` / `PT.on('tokens', fn)` react to dials. - **Quality floor**: responsive at 390 / 820 / 1280, visible focus, reduced motion honored (the base styles do this), readable in both modes, no horizontal overflow (`minmax(0, 1fr)` in sidebar grids).

Assemble and validate in one command (`<skill-dir>` is the folder containing this SKILL.md):

```bash node <skill-dir>/scripts/build-prototype.mjs --parts prototypes/<slug>.parts.html --out prototypes/<slug>.html ```

The build splices your parts into the harness, sets the page title, and runs `scripts/validate-prototype.mjs` (manifest shape, every variant has a template and vice versa, self-contained, token usage lint). Fix errors; treat warnings as review notes and clear the ones that are not deliberate.

## Step 4: Verify like a design lead

1. Open it. Windows: `start "" "prototypes\<slug>.html"`; macOS: `open prototypes/<slug>.html`; Linux: `xdg-open prototypes/<slug>.html`. The file works from `file://`. 2. If you have browser automation, drive it instead of guessing: load the file (or serve the folder locally if your tool refuses `file://`), then use `window.__PT__`: `await __PT

Detalles técnicos

Versión
1.0.0
Licencia
Unknown
Última actualización
22 ago 2026
Publicado
22 ago 2026

Resumen de decisión

Candidata de respaldo

60
Listo
Prototipo
Etapa

recent repository activity

Auditoría

Revisión de instalación

Revisión de instalación y adopción

69
Requiere revisión
Seguridad
62/100
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-prototype, listo para publicar manualmente en X.

Nota del curador
A practical pick for the next deck:

ai-assist-prototype: Build self-contained, double-click-to-open HTML prototypes so the user can vet an interface before it gets built. One file...

88 stars

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

Install: npx skills add jparkerweb/ai-assist-skills --skill ai-assist-prototype

Fuente de la ficha

Indexado por Registry

Reclamable

Esta ficha se indexó desde fuentes públicas y no está marcada como oficial hasta que se apruebe una reclamación de mantenedor.

Creador
jparkerweb
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.

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

Autor

J

jparkerweb

@jparkerweb

Etiquetas

Afinidad con plataforma

Señales de salud

Estrellas de GitHub
88
Puntuación de calidad
36/100
Último push de GitHub
22 ago 2026
Pistas del framework
Desconocido
Vistas de OpenAgentSkill
1
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

51
  • 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 recienteActualizado hoyAprobado
  • 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