docker-via-wsl

docker-via-wsl is a skill for Claude Code from netresearch/docker-development-skill. It costs 141 tokens per session (956 once invoked), scanned A, original, no licence file.

Instructions for running Docker commands through WSL when an AI agent is using Windows outside WSL. WSL is the Windows Subsystem for Linux, and Docker Desktop uses its WSL2 engine in this setup.

In plain words
What is it for?
Running Docker or Docker Compose commands from Git Bash, MSYS, or PowerShell on Windows when Docker Desktop is backed by WSL2.
Why use it?
It avoids Docker commands being run from the wrong environment, especially when the project is on a network or shared drive. The instructions ensure commands are re-issued inside WSL.

Skill for Claude Code

Written for Claude Code: allowed-tools in frontmatter.

Part of the docker-development plugin — 2 skills shipped together

Good fit Running Docker or Docker Compose commands from Git Bash, MSYS, or PowerShell on Windows when Docker Desktop is backed by WSL2.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/netresearch/docker-development-skill/docker-via-wsl
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.

Any agent
npx skills add netresearch/docker-development-skill --skill docker-via-wsl
Clone the repo
git clone --depth 1 https://github.com/netresearch/docker-development-skill

Made for: Claude Code.

Or install docker-development, the plugin that ships this one along with the rest of its 2 skills.

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-via-wsl

README.md
[![agentmods](https://agentmods.dev/badge/skills/netresearch/docker-development-skill/docker-via-wsl/github.svg)](https://agentmods.dev/skills/netresearch/docker-development-skill/docker-via-wsl)
Your own site
<a href="https://agentmods.dev/skills/netresearch/docker-development-skill/docker-via-wsl"><img src="https://agentmods.dev/badge/skills/netresearch/docker-development-skill/docker-via-wsl/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-via-wsl

Your own site · 80×15
<a href="https://agentmods.dev/skills/netresearch/docker-development-skill/docker-via-wsl"><img src="https://agentmods.dev/badge/skills/netresearch/docker-development-skill/docker-via-wsl.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 141 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 956 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe.
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 5.1 $0.00141 $0.00956
Opus 5.5 $0.00056 $0.00382
Sonnet 5.5 $0.00028 $0.00191
Haiku 4.5 $0.00014 $0.00096

Measured yesterday against content hash de1b247f3e42, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

docker-via-wsl 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 yesterday.

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.

skills/docker-via-wsl/SKILL.md · 77 lines

The source is not reproduced here

A licence we could not identify

The repository carries a LICENSE file, but it is custom or dual enough that GitHub cannot name it and neither can this catalogue. Unknown terms are not permission, so the body is not copied here. Read the licence at the source and decide for yourself.

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. yesterday Changed de1b247f3e42
  2. 12d ago Changed · +2 lines 2f3559589ad3
  3. 19d ago Changed · +2 lines 051736b4dce2
  4. 26d ago Changed 7b55e4c8f88e
  5. 1mo ago Changed 7c24edd6de18
  6. 1mo ago Changed 2510cbd518d1
  7. 1mo ago Changed a9695cfb34cf
  8. 1mo ago Changed bb22deccf0ac
  9. 1mo ago Changed 917891ea2dc6
  10. 1mo ago First seen · 73 lines · 141 tokens per session scan A 587d178ef5d6

Subscribe to this mod's changes

docker-via-wsl is a skill published in the GitHub repository netresearch/docker-development-skill (25 stars, last pushed yesterday), with no licence file. It adds 141 tokens to every session and 956 once invoked, about $0.0006 per session on Opus 5.5. 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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