ai-assist-dockerize-website

Prüfen · 54
Im Registry indexiert

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
Stars88
Version1.0.0
Qualität61/100 · Vielversprechend
Vertrauen54/100 · Do not auto-install
Audit70/100 · Prüfung nötig

Asset-Profil

Recherche und Wissensarbeit

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

Bereich ansehen

Szenario

Recherche-Agents

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

Agent-Fit

Claude Code + Browser agents + CLI

Geeignet für Codex, Claude Code, Cursor, CLI oder benutzerdefinierte Agents.

Installieren

Bereit

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

Wartung

Aktuell

Heute gepusht

Risiko

Prüfung nötig

Lizenz ist unklar

GitHub-Qualität

88

61/100 Qualität · 62/100 Vertrauen

Abdeckungs-Tags

RechercheRecherche-Agentsagent-skill

Review-Notizen

Lizenz ist unklar · Dependency or permission surface needs review

Agent-Adoptionskarte

Vertrauen, Audit und Installationsbereitschaft auf einen Blick

Diese Werte kombinieren öffentliche Repository-Metadaten, OpenAgentSkill-Reviewsignale, Wartungsaktualität und Installationsbereitschaft. Sie helfen bei der Vorauswahl, ersetzen aber keine menschliche Prüfung.

Qualität

Vielversprechend
61

Useful candidate, but compare it with alternatives before adopting.

Vertrauen

Do not auto-install
54

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

Audit

Prüfung nötig
70

Maschinenlesbare Prüfung von Installationsbereitschaft, Sicherheitsmetadaten, Wartung und Akzeptanzrisiko.

OpenAgentSkill Trust Score v5

Menschliche Prüfung vor Installation

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

CodexClaude CodeCursorOpenAgentSkill CLI

Stars

88 GitHub-Stars

Repository-Aktivität

88 Stars und 12 Forks

Wartung

Heute gepusht

Lizenz

Unbekannt

Installieren

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

Installationssicherheit

Standard-Paket- oder Laufzeit-Installationspfad

Berechtigungsfläche

secrets or environment access, shell or command execution

Agent-Ergebnisse

Noch keine Agent-Ergebnisdaten

Dokumentation

Starker README/SKILL.md-Kontext

Risikoübersicht

Vor Produktion prüfen

  • 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.
  • Lizenz ist unklar
  • Quality score needs review

Installationsbereitschaft

Installationspfad verfügbar

  • Installationspfad ist verfügbar
  • Repository-Belege sind verfügbar
  • Lizenz ist unklar
  • Noch keine Agent-Proven-Ergebnisbelege

Agent-lesbare Metadaten

Maschinenlesbare Entscheidungsdaten für diesen Skill.

Nutze diesen Block oder das eingebettete JSON, um zu entscheiden, ob ein Agent diesen Skill installieren, eine Alternative wählen oder zuerst menschliche Prüfung anfordern soll.

JSON öffnen

Geeignete Aufgaben

  • Research-Agent-Workflows
  • Claude-Code-Teams
  • builders willing to evaluate younger projects
  • Suchquellen

Geeignete Agents

CodexClaude CodeCursorOpenAgentSkill CLIBrowser agentsCLI

Installationsentscheidung

Befehl
npx skills add jparkerweb/ai-assist-skills --skill ai-assist-dockerize-website
Richtlinie
Blockieren
Menschliche Prüfung
Ja

Vertrauen und Risiko

Vertrauen
54/100
Audit
70/100
Risikoebene
Prüfung nötig

Ergebnis-Loop

Endpoint
/api/agent/outcome
Event-ID
resolve
Ergebnisse
5

Installationsbefehl

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

Nicht verwenden, wenn

  • Teams, die ein vom Anbieter unterstütztes SLA benötigen
  • production agents without a repository review
  • Repository license is unknown, which creates ambiguity about the legal terms for reuse.
  • Hinweise auf Hochrisiko-Berechtigungen: Shell or command execution, Secrets or environment access
  • Lizenz ist unklar

Agent-Sicherheit v2

26/100 · Automatische Installation vermeiden

Blocked for auto-installBlockieren

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.

Per API auflösen

Hoch

Shell- oder Befehlsausführung

Die Skill-Metadaten verweisen auf Terminal-, CLI-, Shell-, Subprozess- oder Befehlsausführungs-Workflows.

Mittel

Browser automation

Skill may drive a browser or interact with web pages.

Mittel

Netzwerkzugriff

Die Skill ruft wahrscheinlich Remote-Seiten, APIs, Repositories oder externe Dienste ab.

Mittel

Dateisystemzugriff

Die Skill kann Projektdateien, Dokumente, generierte Artefakte oder den lokalen Arbeitsbereich lesen oder schreiben.

  • Hinweise auf Hochrisiko-Berechtigungen: Shell or command execution, Secrets or environment access
  • Lizenz ist unklar

Installationsziele

Diesen Skill im Agent-Workflow installieren

Über den öffentlichen Endpunkt erhältst du Befehl, Sicherheitscheckliste, Ziel-Prompts und kanonische Links.

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

Agent-Auflösungsplan

Lass einen Agent die Eignung vor der Installation prüfen.

Die Resolve API liefert die beste Skill, Alternativen, Sicherheitsrichtlinien, Auditnotizen, Installationsziel und einen direkt nutzbaren Prompt.

Textplan öffnen

Agent sollte prüfen

  • 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.

Prompt kopieren

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.

Agent-Übergabe

Gib dem Agent den Installationspfad, nicht noch ein Verzeichnis.

Über den öffentlichen Endpunkt erhältst du Befehl, Sicherheitscheckliste, Ziel-Prompts und kanonische Links.

Installations-API öffnen

Agent-Prompt

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

Registry-Metadaten

Agent-lesbares Profil für die automatische Skill-Auswahl.

Die Registry API stellt Entscheidungs-, Vertrauens-, Audit-, Use-Case- und Installationssignale ohne UI-Scraping bereit.

Manifest öffnen

Agent-Fit

63/100

Recherche-Agents

Plattformen

Claude Code, Browser agents

Audit-Bericht

Prüfung nötig · 70/100

Maschinenlesbare Prüfung von Installationsbereitschaft, Sicherheitsmetadaten, Wartung und Akzeptanzrisiko.

Audit-Bericht ansehenEval-Bericht ansehen

Agent-Entscheidungspanel

Fallback candidate for Research agents

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

63
Bereitschaft
Prototyp
Phase

Rolle im Stack

Fallback-Kandidat

Primäre Eignung

Recherche-Agents

Vertrauenslabel

Zuerst prototypisieren

Installationspfad

Befehl bereit

Verwenden wenn

  • Research-Agent-Workflows
  • Claude-Code-Teams
  • builders willing to evaluate younger projects

Evidenz

  • recent repository activity
  • install command or GitHub repo available
  • Qualitätsprofil 61/100
  • 10 OpenAgentSkill-Interaktionen

zuerst prüfen

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

Implementierungspfad

  1. 1Installieren Sie es in einem Sandbox-Agent und führen Sie eine Recherche-Agents-Aufgabe vollständig aus.
  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.

Vertrauensprofil

Do not auto-install

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

54
OpenAgentSkill Trust Score

GitHub-Akzeptanz

Prüfen

88 GitHub-Stars

Star-/Fork-Aktivität

Prüfen

88 Stars und 12 Forks; Issue-Aktivität ist in den aktuellen Metadaten nicht verfügbar

Aktuelle Wartung

Bestanden

Heute gepusht

Lizenzklarheit

Prüfen

Unbekannt

Positive Signale

  • KI-Prüfung genehmigt
  • Installationspfad ist verfügbar
  • Repository-Belege sind verfügbar
  • Kürzlich gewartetes Repository
  • Der Installationsbefehl weist kein offensichtliches Hochrisikomuster auf
  • Ergebniszyklus ist bereit, benötigt aber den ersten echten Agent-Lauf

Vor Installation prüfen

  • 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.
  • Lizenz ist unklar
  • 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
  • Noch keine echten Agent-Ergebnisberichte
  • Vor unbeaufsichtigter Installation ist menschliche Prüfung erforderlich

Empfohlene Aktion

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

Qualitätsprofil

Vielversprechend Kandidat für Agent-Workflows

Useful candidate, but compare it with alternatives before adopting.

61
GitHub-Stars
88
Aktualität
Heute
Installationsbereit
Ja
Lizenz
Unbekannt
Vor Installation prüfen: Repository license is unknown, which creates ambiguity about the legal terms for reuse.

Workflow-Eignung

Diese Skill in diesen Szenarien nutzen

Workflow-Eignung

Zum vollständigen Workflow hinzufügen

Alternativen-Shortlist

Vor Installation vergleichen

Similar skills that may fit this task.

Alle vergleichen

Übersicht

--- 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.

Technische Details

Version
1.0.0
Lizenz
Unknown
Letzte Aktualisierung
22. Aug. 2026
Veröffentlicht
21. Aug. 2026

Entscheidungsübersicht

Fallback-Kandidat

63
Bereit
Prototyp
Phase

recent repository activity

Audit

Installationsprüfung

Installations- und Adoptionsprüfung

70
Prüfung nötig
Sicherheit
63/100
Wartung
100/100
Installieren
92/100
Vollständiges Audit öffnenEval-Bericht ansehen

Von Agent belegte Evidenz

Von Agent belegte Evidenz

Ergebnisberichte nach Resolve, Prüfung, Installation und einem begrenzten Lauf.

0
Belegt
Needs first agent runAuto-Installation: zuerst prüfenLetzter: Unbekannt
Erfolgsrate
Letzter Fehler
Ergebnisse
0
Ausgabequalität
Fehlgeschlagen
0
Nicht relevant
0
Installationen
0
Durch Risiko blockiert
0
Einrichtung erforderlich
0
Produktion
0

Noch keine Agent-Ergebnisdaten. Der erste Lauf kann Erfolg, Einrichtungsbedarf, Risikoblockaden, Fehler oder Irrelevanz über /api/agent/outcome melden.

Installieren

Zum Agent-Workflow hinzufügen

Kostenlos und Open Source. Bericht vor der Installation in Produktions-Agents prüfen.

Wachstums-Loop

Share-Kit

X

Szenariobasierter Entwurf für ai-assist-dockerize-website, bereit für einen manuellen X-Post.

Kuratorenhinweis
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
X-Entwurf öffnen
Optionale Antwort mit Installationsbefehl
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
Antwortentwurf öffnen

Quelle des Eintrags

Registry-indexiert

Beanspruchbar

Dieser Eintrag wurde aus öffentlichen Quellen indexiert und ist erst nach Genehmigung eines Maintainer-Anspruchs offiziell.

Ersteller
jparkerweb
Indexiert von
OpenAgentSkill Community-Index

Die Zuordnung verlinkt auf das öffentliche Repository oder Creator-Profil. Creator können den Eintrag beanspruchen, um Eigentümersignale zu aktualisieren.

Diesen Skill beanspruchen

Eigentümeranspruch

Diesen Skill-Eintrag beanspruchen

Dieser Registry-indexiert-Eintrag wird jparkerweb zugeschrieben, ist aber noch nicht offiziell markiert. Beanspruche ihn, um ein verifiziertes Eigentümersignal hinzuzufügen und künftige Launch-, Installations- und Audit-Updates vertrauenswürdiger zu machen.

Creator-Backlink-Kit

Evidenz-Badges in deine README einfügen

Zeige den kanonischen Eintrag, aktuelle Vertrauens- und Audit-Signale sowie echte Agent-Proven-Evidenz dort, wo Entwickler das Repository bewerten.

[![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

Gesundheitssignale

GitHub-Stars
88
Qualitätswert
37/100
Letzter GitHub-Push
22. Aug. 2026
Framework-Hinweise
Unbekannt
OpenAgentSkill-Aufrufe
10
Installationskopien
0
Externe Klicks
0

Community-Signal

Teile mit, ob dieser Skill für deinen Agent-Workflow nützlich ist. Zusammengefasstes Feedback verbessert das Ranking im Laufe der Zeit.

Vertrauen & Sicherheit

Do not auto-install

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  • GitHub-Akzeptanz88 GitHub-StarsPrüfen
  • Star-/Fork-Aktivität88 Stars und 12 Forks; Issue-Aktivität ist in den aktuellen Metadaten nicht verfügbarPrüfen
  • Aktuelle WartungHeute gepushtBestanden
  • LizenzklarheitUnbekanntPrüfen
  • README/SKILL.md-VollständigkeitMetadaten enthalten ausreichend Nutzungs- und Workflow-KontextBestanden
  • Abhängigkeits-/Laufzeitrisikocommand execution surface, credential or environment accessBeheben