ai-agent-automation: Skill for Claude Code

.agents/skills/docker-expert/SKILL.md

docker-expert is a skill for Claude Code, Codex from vmDeshpande/ai-agent-automation. It costs 44 tokens per session (3,317 once invoked), scanned A, original, Apache-2.0.

A guide for building, securing, optimizing, and deploying applications in Docker containers. Docker packages an application and its dependencies into an isolated environment.

In plain words
What is it for?
It is for analyzing Dockerfiles and container environments, improving builds, and advising on deployment patterns. Kubernetes and cloud-specific infrastructure are outside its stated focus.
Why use it?
It helps developers review container setups and avoid common problems with image size, security, build stages, and deployment configuration.

Skill for Claude CodeCodex

Written for no agent in particular: nothing here depends on one. Also seen: mentions subagents; installed under .agents/ (shared by several agents).

This is vmDeshpande/ai-agent-automation's own configuration. It tells Claude Code and Codex how to work on ai-agent-automation itself, so it is not a mod to install elsewhere. Copy it as a starting point and replace the rules that are about this project. Everything ai-agent-automation configures →

Reuse

Borrowing it

Nothing to install: this file belongs to vmDeshpande/ai-agent-automation. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.

Copy the file
curl -O https://raw.githubusercontent.com/vmDeshpande/ai-agent-automation/main/.agents/skills/docker-expert/SKILL.md
Clone the repo
git clone --depth 1 https://github.com/vmDeshpande/ai-agent-automation

Made for: Claude Code, Codex.

Wrote 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.

agentmods badge for docker-expert

README.md
[![agentmods](https://agentmods.dev/badge/skills/vmdeshpande/ai-agent-automation/docker-expert/github.svg)](https://agentmods.dev/skills/vmdeshpande/ai-agent-automation/docker-expert)
Your own site
<a href="https://agentmods.dev/skills/vmdeshpande/ai-agent-automation/docker-expert"><img src="https://agentmods.dev/badge/skills/vmdeshpande/ai-agent-automation/docker-expert/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.

agentmods 80×15 button for docker-expert

Your own site · 80×15
<a href="https://agentmods.dev/skills/vmdeshpande/ai-agent-automation/docker-expert"><img src="https://agentmods.dev/badge/skills/vmdeshpande/ai-agent-automation/docker-expert.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 44 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 3,317 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 1 finding. A grade says what 26 rules found in the file — not that it is safe. Third-party audits
  • NVIDIA SkillSpector warn 7 Sept 2026
SkillSpector: 2 findings, up to medium

These are SkillSpector’s own severities. On a checked sample its high-severity flags on skills were ~96% false positives — a documented command, a public API, a “never do X” rule — so we show them as a caution to read, not a verdict. Why →

  • medium MCP Rug Pull · line 63
    Docker image references without a specific tag (:latest is implicit) or digest (@sha256:...) can be silently replaced by a malicious image.
    Fix: Pin the image: image:tag or image@sha256:abc123
  • medium Tool Misuse · line 247
    Tool defaults are unsafe or overly permissive (e.g. disabled TLS verification, no authentication, world-writable permissions). Unsafe defaults widen the attack surface.
    Fix: Override unsafe defaults with secure settings (verify=True, auth required, restrictive permissions). Review and harden all tool configurations.
How audits are shown
Origin original No closer match found in the catalogue.
Token cost

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.

ModelPer sessionOnce invoked
Fable 5.1 $0.00044 $0.03317
Opus 5 $0.00022 $0.01658
Sonnet 5 $0.00009 $0.00663
Haiku 4.5 $0.00004 $0.00332

Measured 10d ago against content hash cd2817407c2f, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-09, from the pricing page.

Security

Grade A, and why

docker-expert scanned grade A with 1 finding 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 10d 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.

Makes network callslowCapability

Not a fault in itself. Listed so you know the mod talks to something, and to what.

CMD curl -f http://localhost:3000/health || exit 1
Origin

Copies of this mod

6 near-identical copies found in the catalogue:

.agents/skills/docker-expert/SKILL.md · 419 lines

How it starts

The opening of the file, as written. The whole thing — 419 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Docker Expert

You are an advanced Docker containerization expert with comprehensive, practical knowledge of container optimization, security hardening, multi-stage builds, orchestration patterns, and production deployment strategies based on current industry best practices.

When invoked:

  1. If the issue requires ultra-specific expertise outside Docker, recommend switching and stop:

    • Kubernetes orchestration, pods, services, ingress → kubernetes-expert (future)
    • GitHub Actions CI/CD with containers → github-actions-expert
    • AWS ECS/Fargate or cloud-specific container services → devops-expert
    • Database containerization with complex persistence → database-expert

    Example to output: "This requires Kubernetes orchestration expertise. Please invoke: 'Use the kubernetes-expert subagent.' Stopping here."

  2. Analyze container setup comprehensively:

    Use internal tools first (Read, Grep, Glob) for better performance. Shell commands are fallbacks.

    # Docker environment detection
    docker --version 2>/dev/null || echo "No Docker installed"
    docker info | grep -E "Server Version|Storage Driver|Container Runtime" 2>/dev/null
    docker context ls 2>/dev/null | head -3
    
    # Project structure analysis
    find . -name "Dockerfile*" -type f | head -10
    find . -name "*compose*.yml" -o -name "*compose*.yaml" -type f | head -5
    find . -name ".dockerignore" -type f | head -3
    
    # Container status if running
    docker ps --format "table {{.Names}}\t{{.Image}}\t{{.Status}}" 2>/dev/null | head -10
    docker images --format "table {{.Repository}}\t{{.Tag}}\t{{.Size}}" 2>/dev/null | head -10
    

    After detection, adapt approach:

    • Match existing Dockerfile patterns and base images
    • Respect multi-stage build conventions
    • Consider development vs production environments
    • Account for existing orchestration setup (Compose/Swarm)
  3. Identify the specific problem category and complexity level

  4. Apply the appropriate solution strategy from my expertise

Read the full file on GitHub · 419 lines

Changes

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.

  1. 10d ago First seen · 419 lines · 44 tokens per session scan A cd2817407c2f

Subscribe to this mod's changes

docker-expert is a skill published in the GitHub repository vmDeshpande/ai-agent-automation (178 stars, last pushed 2d ago), licensed Apache-2.0. It adds 44 tokens to every session and 3,317 once invoked, about $0.0002 per session on Opus 5. A static security scan graded it A with 1 finding (makes network calls). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.