illo

Revisar · 56
Indexado en Registry

>-

Verified installs0
Estrellas340
Versión0.34.4
Calidad72/100 · Sólido
Confianza56/100 · Do not auto-install
Auditoría75/100 · Requiere revisión

Perfil del activo

Agents de programación y desarrollo

Code review, repo analysis, testing, CI, GitHub, DevOps, and developer workflow skills.

Ver categoría

Escenario

GitHub automation

I need my agent to triage GitHub issues, review pull requests, and summarize repository changes.

Afinidad con Agent

Claude Code + OpenAI Agents + Cursor

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

Instalar

Listo

npx skills add tmchow/illo-skill --skill illo

Mantenimiento

Actual

Actualizado hoy

Riesgo

Requiere revisión

Dependency or permission surface needs review

Calidad de GitHub

340

72/100 Calidad · 64/100 Confianza

Etiquetas de cobertura

CodingGitHub automationautomationagent-skill

Notas de revisión

Dependency or permission surface needs review · Permission surface may require sandboxing

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

Sólido
72

Solid option that is likely worth shortlisting for production workflows.

Confianza

Do not auto-install
56

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

Auditoría

Requiere revisión
75

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

340 estrellas de GitHub

Actividad del repositorio

340 estrellas y 17 forks

Mantenimiento

Actualizado hoy

Licencia

MIT

Instalar

npx skills add tmchow/illo-skill --skill illo

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

Usable metadata, review docs

Resumen de riesgo

Revisar antes de producción

  • The skill relies on external CLIs (Codex, Grok) and an OpenRouter API key, which may require additional setup and could introduce environment-specific failure modes.
  • Financial research output is not financial advice; require human review before any live investment decision.
  • Quality score needs review
  • Permission surface needs review: secrets or environment access, shell or command execution

Preparación de instalación

Ruta de instalación disponible

  • La ruta de instalación está disponible
  • La evidencia del repositorio está disponible
  • La licencia está declarada
  • 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 Local desktop
  • Equipos de Claude Code
  • builders willing to evaluate younger projects
  • Navigate local resources

Agents adecuados

CodexClaude CodeCursorOpenAgentSkill CLIOpenAI AgentsCLI

Decisión de instalación

Comando
npx skills add tmchow/illo-skill --skill illo
Política
Bloquear
Revisión humana

Confianza y riesgo

Confianza
56/100
Auditoría
75/100
Nivel de riesgo
Requiere revisión

Ciclo de resultados

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

Comando de instalación

npx skills add tmchow/illo-skill --skill illo

No usar cuando

  • Equipos que necesitan un SLA con soporte del proveedor
  • production agents without a repository review
  • The skill relies on external CLIs (Codex, Grok) and an OpenRouter API key, which may require additional setup and could introduce environment-specific failure modes.
  • No OpenAgentSkill engagement data yet
  • Indicios de permisos de alto riesgo: Shell or command execution, Secrets or environment access

Seguridad de Agent v2

35/100 · 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

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.

Alto

Secrets or environment access

Skill metadata references credentials, tokens, environment variables, or secret-bearing workflows.

  • Indicios de permisos de alto riesgo: Shell or command execution, Secrets or environment access
  • Dependency or permission surface needs review

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 tmchow-illo

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

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

71/100

Local desktop

Plataformas

Claude Code, OpenAI Agents, Cursor

Informe de auditoría

Requiere revisión · 75/100

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 Local desktop

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

71
Preparación
Prototipo
Etapa

Rol en la pila

Candidata de respaldo

Ajuste principal

Local desktop

Etiqueta de confianza

Prototipar primero

Ruta de instalación

Comando listo

Úsalo cuando

  • flujos de Local desktop
  • Equipos de Claude Code
  • builders willing to evaluate younger projects

Evidencia

  • recent repository activity
  • install command or GitHub repo available
  • perfil de calidad 72/100

revisar primero

  • The skill relies on external CLIs (Codex, Grok) and an OpenRouter API key, which may require additional setup and could introduce environment-specific failure modes.
  • No OpenAgentSkill engagement data yet

Ruta de implementación

  1. 1Instálalo en un Agent de sandbox y ejecuta una tarea de Local desktop 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.

56
Trust Score de OpenAgentSkill

Adopción en GitHub

Info

340 estrellas de GitHub

Actividad de stars/forks

Revisar

340 estrellas y 17 forks; la actividad de issues no está disponible en los metadatos actuales

Mantenimiento reciente

Aprobado

Actualizado hoy

Claridad de licencia

Aprobado

MIT

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

  • The skill relies on external CLIs (Codex, Grok) and an OpenRouter API key, which may require additional setup and could introduce environment-specific failure modes.
  • Financial research output is not financial advice; require human review before any live investment decision.
  • Quality score needs review
  • Permission surface needs review: secrets or environment access, shell or command execution
  • Stars/forks activity: 340 stars, 17 forks; issue activity unavailable in current metadata
  • 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

Sólido candidato para flujos de Agent

Solid option that is likely worth shortlisting for production workflows.

72
Estrellas de GitHub
340
Actualidad
Hoy
Listo para instalar
Licencia
MIT
Revisar antes de instalar: The skill relies on external CLIs (Codex, Grok) and an OpenRouter API key, which may require additional setup and could introduce environment-specific failure modes.

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: illo description: >- Creates original editorial illustrations where a recurring mascot character performs the idea — one caught scene by default, a hand-built explainer diagram (a flow, fan-out, timeline, loop, or stack) when the structure itself is the point, or a transparent character cutout (pose-only compositing asset, no scene or text) — in one of seventeen bundled looks (sixteen print, plus a photoreal toy-brick set). Also handles "surprise me" / "random" (optionally scoped to a focus or character): rolls provenance, builds three saying candidates, picks via interactive choice or auto-pick-best (`--autopick`), and renders one image. Triggers only when the skill is directly invoked or "illo" is requested; never on generic illustrate / draw / make-an-image requests. # x-release-please-start-version version: 0.34.4 # x-release-please-end argument-hint: "[idea or article URL] | build a character | install <character> | surprise me [focus] [--autopick] [using character]" author: Trevin Chow license: MIT metadata: hermes: tags: [illustration, riso, image-generation, editorial, mascot, codex, grok, openrouter] category: creative requires_toolsets: [terminal] openclaw: emoji: "🎨" homepage: https://illo-skill.com os: [macos, linux] requires: bins: [python3] ---

# Illo

Make original, distinctive editorial illustrations for written content. One image explains one idea: a key judgment, a flow, a before/after, a trap, a loop. A **recurring mascot** is the one performing the idea in every scene — the subject, never decoration. When one idea advances through stages, it can be a **mini-comic**: 2–4 panels inside a single image. And when the idea is itself a traceable structure — a pipeline, a fan-out, a timeline, a loop — it can be an **explainer**: the same mascot and look drawing the structure as a hand-built sketch-diagram with arrows and callouts (`references/composition.md`, "Two registers"; editorial scene is always the default). Or a **character cutout**: the mascot alone on a transparent PNG for downstream overlay — pose and contact continuity only, no idea, no text, no environment (`references/cutout.md`).

This is a configurable house style, not a generic image generator. The **methodology is the constant**; the **character pack and palette are the parameters** — and a character pack carries its **style** with it: one look per pack, chosen from the bundled look library (riso — grainy halftone, ink-layer offset, paper grain, one bold softly-rounded outline — plus blueprint, woodcut, pixel, clay, manila, chalk, phosphor, enamel, gouache, felt, diorama, sketchbook, bricks, fizz, bloom, and snes) or a custom style file. The default mascot is **Blot**, a deadpan ink-drop in riso. Palettes come from presets, the user's own palette file, or one derived color. Whatever the parameters, it is intentionally not a photo — with one deliberate exception, the `bricks` look, a toy-brick photography style — not a logo, not a corporate infographic, not a formal flowchart, not a UI mockup.

## Use cases — route the request

| The user wants | The path | |---|---| | **Illustrate an article / post / newsletter / URL** | Steps 0–7: route the source first (thesis → coverage: hero / hero+set / set / mini-comic — `references/composition.md`, "Source routing"), then shot list (hero row + anchors), one image per anchor, interleave by placement. | | **One image for a single concept** | Step 1 concept branch (up to ~3 quick questions if the idea is thin), then a single image. | | **Surprise / random** — "surprise me", "random", "surprise me with art quote using bray", "surprise me --autopick" | Read `references/surprise.md` in full: Step 0 first, then character + provenance (ignore `defaultCharacter`; `* quote` forces a cited quote; else ~1/3 roll), build **three** safe candidates, interactive picker or auto-pick-best (`--autopick` preferred for schedulers), then register from the locked saying, then Steps 3–7 as one image. Deliver saying + image. Poster titles default off; mini-comics still get per-panel labels. | | **A sequence — process, before→after, fail→fix** | One **mini-comic** when the progression sits in one place (shape routing in `references/composition.md` — the idea picks the shape, the destination never does). | | **A traceable structure** — "show the flow", "diagram the pipeline", "map the steps", "as an explainer" | The **explainer register** (`references/composition.md`, "The explainer register"): a hand-built flow / fan-out / timeline / loop / stack / system slice in the active look, the mascot a working part of it. Also reachable without the phrases when a unit's thesis IS the structure (the register gate). | | **Social-ready art for X posts / article body images** | 16:9 (or 1:1 when square is explicitly useful), bold `ink-punch`, watermark with the `x` handle if configured or asked. | | **X Article banner / hero image** | Use the unique banner format: **1536 × 640 px** when the user asks for an X Article hero/banner. Prompt and render through the normal `illo.py generate` image pipeline, with normal, undistorted character/object proportions and crop-safe breathing room. Do not satisfy this by manually compositing or rebuilding crops from another image unless the user explicitly asks for post-processing. | | **Blog / brand / site-matched art** | A named or custom palette, or derive the palette from one dominant color (`references/palettes.md`). | | **Their own mascot** — "make me a character", "use our mascot", "replace Blot" | The character builder: read `references/character-builder.md` in full and follow it end to end. | | **Community characters** — "what characters are available", "install blip", "install all characters", "update mole", "publish my character" | `references/pack-sharing.md` — engine `packs list/show/install/update`, including `packs install --all`; publish via a GitHub PR. | | **A different look** — "in blueprint", "woodcut style", "pixel version of blip" | Styles travel with character packs: build a **style variant pack** via `references/character-builder.md`, "Style variants". | | **Options to pick from, or "which model is best"** | Step 5b: `--count` variations or a model loop → `gallery` with a recommendation. | | **Fix an existing image** (stray title, recolor, mascot too decorative) | Edit prompts in `references/prompt-recipe.md`, passing the image back as `--ref`. | | **Character cutout / transparent PNG / overlay sticker** — "just the mascot", "no background", "paste on something else" | The **cutout register** (`references/cutout.md`): read in full, prompt from `references/prompt-recipe.md` "Cutout variant", generate with `--cutout` and `--aspect 1:1`. OpenRouter cutouts default to GPT Image 2 (not Grok). Not for explaining an idea — reroute to editorial if the ask needs a scene. | | **Animated idle / bot avatar / looping GIF of the mascot** | The **cutout register** plus `references/cutout.md`, "Idle loop / bot avatar": one transparent 1:1 cutout with `--cutout` and the character sheet as `--ref`, then programmatic motion on that PNG. |

## Prerequisites

The engine (`scripts/illo.py`, stdlib Python, no installs) renders through one of **three engine backends**; `python3` and network access are the only hard requirements. **Grok Bot** (Cursor's Grok Bot / the Grok desktop assistant) is a fourth, agent-side transport: use its built-in Grok image tool directly, not `illo.py generate`, when no user config explicitly selects an engine backend.

**Running the engine — set `$SKILL_DIR` inline in each block.** Every engine command below is `python3 "$SKILL_DIR/scripts/illo.py" …`. Set `SKILL_DIR` to the absolute path of the directory this `SKILL.md` was loaded from (it contains `scripts/illo.py` and `assets/`) **in the same command block that uses it** — shell state does not persist between separate command runs, so a value set in an earlier block is gone by the next. If the harness does not expose that path, find the installed `scripts/illo.py` and use its parent; if neither resolves, stop rather than guessing the working directory. The engine self-locates its own bundled assets, so `$SKILL_DIR` only has to be right enough to launch `illo.py` and to point `--ref` at the bundled character sheet.

Write the block **flatten-safe** — some hosts (Codex observed) collapse a fenced block to one line, turning a newline into a space. Terminate the assignment with `;` (`SKILL_DIR="…";` — without it, a flattened `SKILL_DIR="…" python3 "$SKILL_DIR/…"` becomes an env-prefix whose `$SKILL_DIR` expands to empty **before** the assignment applies, so the path collapses to `/scripts/illo.py`). Put **no comment on an assignment or command line** (a flattened `#` comments out the rest of the line and the command silently vanishes), and keep each invocation on **one line** (a flattened `\` continuation injects stray arguments). A wrong or unset value makes `doctor` (Workflow step 0) fail loudly (`can't open file …/scripts/illo.py`) — the signal to fix the path, not a skill fault.

- **Codex backend (free for Codex subscribers).** When the host has a usable **Codex CLI** — installed, `codex login`-ed, with the `image_generation` feature — illo can generate through the user's Codex subscription at no per-image charge (it draws on their Codex quota). No API key, no token: illo only shells out to the user's own CLI. Detected, not assumed; gpt-image-2 is automatic; unsupported on Windows/WSL. - **Grok CLI backend (free for Grok/xAI subscribers).** When the host has a usable **Grok CLI** — installed and `grok login`-ed — illo can generate through the user's Grok subscription via `grok -p` (headless), drawing on their Grok quota. Same env-free, token-free subprocess design as Codex. **Grok returns JPEG with no alpha, so it cannot make transparent cutouts** — those auto-fall back to a cutout-capable backend. The image tool exposes no model selector. - **Grok Bot native transport (agent-side, free for Grok Bot users).** When **you are Grok Bot** — specifically Cursor's Grok Bot / the Grok desktop assistant with the built-in Grok image tool — build the illo prompt and call that tool with the active character's model sheet as a reference image. Do not require the Grok CLI, Codex CLI, or an OpenRouter key; do not treat a missing engine backend as a reason to run `init`. This is not a generic "host image API" rule and not an `illo.py --backend` value. - **OpenRouter backend (paid, direct or explicit fallback).** Needs an **OpenRouter API key** in the user's config file — the **single credential channel** — written once by the user-run `init` (mode 600). The engine never reads secrets from the environment and never accepts them as command-line arguments. A host without a subscription CLI can select this engine path directly. A failed Codex/Grok CLI render does **not** spend money automatically: paid fallback requires `--allow-paid-fallback`. It is **model-selectable** (`--model`).

Capsule of the backend/transport model (resolution and precedence, the CLI requirements, the Grok Bot native path, the built-in image tool being automatic, quota vs. charge, cutout limits, Windows/WSL, fallback): **read `references/backends.md` in full before choosing or explaining a backend** — the mechanics live there, once.

### Setup is the user's job (never enter the key yourself)

Entering an API key is something the **user** does. Do not type, paste, print, or store the user's key — direct them to bootstrap it:

- **Bootstrap (user runs it):** `python3 "$SKILL_DIR/scripts/illo.py" init` — prompts for the key at a hidden prompt (never echoed) and writes the YAML config `${XDG_CONFIG_HOME:-~/.config}/illo/config.yaml` (mode 600). It can also store non-secret defaults: `--model`, `--palette`, `--aspect`, `--character`, `--watermark`. Use `--no-key` to update preferences without to

Detalles técnicos

Versión
0.34.4
Licencia
MIT
Última actualización
22 ago 2026
Publicado
22 ago 2026

Resumen de decisión

Candidata de respaldo

71
Listo
Prototipo
Etapa

recent repository activity

Auditoría

Revisión de instalación

Revisión de instalación y adopción

75
Requiere revisión
Seguridad
70/100
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 illo, listo para publicar manualmente en X.

Nota del curador
For a repeatable workflow, this is a skill worth shortlisting before another blank prompt.

illo: >-

340 stars

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

Install: npx skills add tmchow/illo-skill --skill illo

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.

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 skill

Reclamación del propietario

Reclamar esta ficha de skill

Esta ficha Indexado por Registry se atribuye a Trevin Chow, 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.

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

Autor

T

Trevin Chow

@trevin-chow

Etiquetas

Afinidad con plataforma

Señales de salud

Estrellas de GitHub
340
Puntuación de calidad
41/100
Último push de GitHub
22 ago 2026
Pistas del framework
Desconocido
Vistas de OpenAgentSkill
0
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

56
  • Adopción en GitHub340 estrellas de GitHubInfo
  • Actividad de stars/forks340 estrellas y 17 forks; la actividad de issues no está disponible en los metadatos actualesRevisar
  • Mantenimiento recienteActualizado hoyAprobado
  • Claridad de licenciaMITAprobado
  • Completitud de README/SKILL.mdLos metadatos públicos necesitan más contexto de README/SKILL.mdInfo
  • Riesgo de dependencias/runtimecommand execution surface, credential or environment accessRevisar