docker-compose-generator

A tool for generating Docker Compose files for development environments. Docker Compose describes the services a project needs, how they connect, and how their data is stored.

In plain words
What is it for?
It is for detecting a project's technology stack and configuring services, dependencies, storage volumes, networks, and health checks.
Why use it?
It reduces the manual setup needed to run projects with several connected services, such as an app and a database.

Skill for Claude CodeCodex

Install

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.

agentmods
npx agentmods add skills/chainlesschain/chainlesschain/docker-compose-generator
Any agent
npx skills add chainlesschain/chainlesschain --skill docker-compose-generator
Clone the repo
git clone --depth 1 https://github.com/chainlesschain/chainlesschain

Made for: Claude Code, Codex.

Per session 30 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 526 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. Scan, not verified.
Origin unknown 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 $0.00030 $0.00526
Opus 5 $0.00015 $0.00263
Sonnet 5 $0.00006 $0.00105
Haiku 4.5 $0.00003 $0.00053

Measured 2d ago against content hash 69aa5a5b10a6, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

docker-compose-generator 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 2d ago.

The scan reads SKILL.md. This mod also ships 1 executable file (handler.js), listed below but not scanned — reading those needs a real analyzer, not pattern matching.

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.

desktop-app-vue/src/main/ai-engine/cowork/skills/builtin/docker-compose-generator/SKILL.md · 61 lines

The source is not reproduced here

No licence file

A repository with no LICENSE is all rights reserved by default, so the body is not copied here. The metadata, the measurements and the link are.

Read it on GitHub

Files

What ships with it

1 file 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.

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. 2d ago First seen · 61 lines · 30 tokens per session scan A 69aa5a5b10a6

Subscribe to this mod's changes

docker-compose-generator is a skill published in the GitHub repository chainlesschain/chainlesschain (11 stars, last pushed 2d ago), with no licence file. It adds 30 tokens to every session and 526 once invoked, about $0.0002 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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