sensecraft-solutions: Skill for Claude Code

.agents/skills/prepare-docker-images/SKILL.md

prepare-docker-images is a skill for Claude Code from suharvest/sensecraft-solutions. It costs 37 tokens per session (2,021 once invoked), scanned A, original, Apache-2.0.

Deployment instructions for Docker images and Compose files. Docker packages an application with its dependencies into an isolated container, while Compose describes how several containers run together.

In plain words
What is it for?
Use them when building or publishing Docker images, writing a docker-compose.yml file, configuring several services, or preparing solution and device deployment files.
Why use it?
They standardize image names, service configuration, health checks, ports, and device deployment settings for multi-container solutions.

Skill for Claude Code

Written for Claude Code: allowed-tools in frontmatter. Also seen: installed under .agents/ (shared by several agents).

This is suharvest/sensecraft-solutions's own configuration. It tells Claude Code how to work on sensecraft-solutions 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 sensecraft-solutions configures →

Reuse

Borrowing it

Nothing to install: this file belongs to suharvest/sensecraft-solutions. 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/suharvest/sensecraft-solutions/main/.agents/skills/prepare-docker-images/SKILL.md
Clone the repo
git clone --depth 1 https://github.com/suharvest/sensecraft-solutions

Made for: Claude Code.

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Per session 37 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 2,021 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.
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 $0.00037 $0.02021
Opus 5 $0.00018 $0.01010
Sonnet 5 $0.00007 $0.00404
Haiku 4.5 $0.00004 $0.00202

Measured 11d ago against content hash d51f83508754, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-11, from the pricing page.

Security

Grade A, and why

prepare-docker-images 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 11d 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.

test: ["CMD", "curl", "-f", "http://localhost:2124/api/health"]
.agents/skills/prepare-docker-images/SKILL.md · 287 lines

How it starts

The opening of the file, as written. The whole thing — 287 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Prepare Docker Images

Guide for preparing Docker images and deployment configuration.

Required Deliverables

Deliverable Description Location
Docker images Push to Docker Hub or private registry Remote
docker-compose.yml Service orchestration solutions/[id]/assets/docker/
Device config Deployment parameters solutions/[id]/devices/

Directory Structure

solutions/[solution_id]/
├── solution.yaml              # Solution configuration
├── guide.md                   # English deployment guide (defines steps)
├── guide_zh.md                # Chinese deployment guide
├── gallery/                   # Images
│   └── architecture.png
├── assets/
│   └── docker/
│       └── docker-compose.yml
└── devices/
    └── [device_id].yaml       # Device config

Image Naming Convention

[org]/[project]-[service]:version

Examples:
seeedstudio/warehouse-backend:latest
seeedstudio/warehouse-frontend:latest
seeedstudio/mcp-bridge:v1.0.0

docker-compose.yml Template

version: "3.8"

services:
  backend:
    image: seeedstudio/warehouse-backend:latest
    container_name: warehouse-backend
    restart: unless-stopped
    ports:
      - "2124:2124"
    volumes:
      - warehouse_data:/data
    environment:
      - DB_PATH=/data
      - LOG_LEVEL=INFO
    healthcheck:
      test: ["CMD", "curl", "-f", "http://localhost:2124/api/health"]
      interval: 30s
      timeout: 10s
      retries: 3
      start_period: 10s

  frontend:
    image: seeedstudio/warehouse-frontend:latest
    container_name: warehouse-frontend
    restart: unless-stopped
    ports:
      - "2125:80"
    depends_on:
      backend:
        condition: service_healthy
    healthcheck:
      test: ["CMD", "curl", "-f", "http://localhost:80/"]
      interval: 30s
      timeout: 10s
      retries: 3

volumes:
  warehouse_data:
    driver: local

Device Configuration Template

Create devices/[device_id].yaml:

Read the full file on GitHub · 287 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. 11d ago First seen · 287 lines · 37 tokens per session scan A d51f83508754

Subscribe to this mod's changes

prepare-docker-images is a skill published in the GitHub repository suharvest/sensecraft-solutions (2 stars, last pushed 2d ago), licensed Apache-2.0. It adds 37 tokens to every session and 2,021 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 2026-08-31.

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