Getting it into your agent
One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.
npx skills add ailabs-393/ai-labs-claude-skills --skill docker-containerizationgit clone --depth 1 https://github.com/ailabs-393/ai-labs-claude-skillsWrote this? Show the measurements
A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.
[](https://agentmods.dev/skills/ailabs-393/ai-labs-claude-skills/docker-containerization)<a href="https://agentmods.dev/skills/ailabs-393/ai-labs-claude-skills/docker-containerization"><img src="https://agentmods.dev/badge/skills/ailabs-393/ai-labs-claude-skills/docker-containerization/github.svg" alt="Measured on agentmods" height="20"></a>Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.
<a href="https://agentmods.dev/skills/ailabs-393/ai-labs-claude-skills/docker-containerization"><img src="https://agentmods.dev/badge/skills/ailabs-393/ai-labs-claude-skills/docker-containerization.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- Socket pass
- Snyk pass
What it costs to keep this loaded
Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5.1 | $0.00083 | $0.02081 |
| Opus 5 | $0.00042 | $0.01040 |
| Sonnet 5 | $0.00017 | $0.00416 |
| Haiku 4.5 | $0.00008 | $0.00208 |
Grade A, and why
docker-containerization scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 12d ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Nothing flagged
None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.
How it starts
The opening of the file, as written. The whole thing — 266 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Docker Containerization Skill
Overview
Generate production-ready Docker configurations for modern web applications, particularly Next.js and Node.js projects. This skill provides Dockerfiles, docker-compose setups, bash scripts for container management, and comprehensive deployment guides for various orchestration platforms.
Core Capabilities
1. Dockerfile Generation
Create optimized Dockerfiles for different environments:
Production (assets/Dockerfile.production):
- Multi-stage build reducing image size by 85%
- Alpine Linux base (~180MB final image)
- Non-root user execution for security
- Health checks and resource limits
Development (assets/Dockerfile.development):
- Hot reload support
- All dev dependencies included
- Volume mounts for live code updates
Nginx Static (assets/Dockerfile.nginx):
- Static export optimization
- Nginx reverse proxy included
- Smallest possible footprint
2. Docker Compose Configuration
Multi-container orchestration with assets/docker-compose.yml:
- Development and production services
- Network and volume management
- Health checks and logging
- Restart policies
3. Bash Scripts for Container Management
docker-build.sh - Build images with comprehensive options:
./docker-build.sh -e prod -t v1.0.0
./docker-build.sh -n my-app --no-cache --platform linux/amd64
docker-run.sh - Run containers with full configuration:
./docker-run.sh -i my-app -t v1.0.0 -d
./docker-run.sh -p 8080:3000 --env-file .env.production
docker-push.sh - Push to registries (Docker Hub, ECR, GCR, ACR):
./docker-push.sh -n my-app -t v1.0.0 --repo username/my-app
./docker-push.sh -r gcr.io/project --repo my-app --also-tag stable
docker-cleanup.sh - Free disk space:
./docker-cleanup.sh --all --dry-run # Preview cleanup
./docker-cleanup.sh --containers --images # Clean specific resources
4. Configuration Files
.dockerignore: Excludes unnecessary files (node_modules, .git, logs)nginx.conf: Production-ready Nginx configuration with compression, caching, security headers
What ships with it
14 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.
- assets/.dockerignore 537 B
- assets/docker-compose.yml 1.3 KB
- assets/Dockerfile.development 668 B
- assets/Dockerfile.nginx 991 B
- assets/Dockerfile.production 1.7 KB
- assets/nginx.conf 1.6 KB
- index.js 276 B runs code
- package.json 236 B
- references/container-orchestration.md 11 KB
- references/docker-best-practices.md 7.8 KB
- scripts/docker-build.sh 4.6 KB runs code
- scripts/docker-cleanup.sh 6.7 KB runs code
- scripts/docker-push.sh 5.0 KB runs code
- scripts/docker-run.sh 6.2 KB runs code
What this file has done since we first saw it
Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.
- 12d ago First seen · 266 lines · 83 tokens per session scan A 19ad8888d318
docker-containerization is a skill published in the GitHub repository ailabs-393/ai-labs-claude-skills (445 stars, last pushed 10mo ago), licensed MIT. It adds 83 tokens to every session and 2,081 once invoked, about $0.0004 per session on Opus 5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.
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