local-docker-debug

A read-only helper for inspecting Docker containers running on your own computer. Docker is a tool that runs applications in isolated containers.

In plain words
What is it for?
Use it to list local containers, follow their logs, inspect container details, and check whether a requested service responds.
Why use it?
It helps you see which containers are running and investigate their logs without changing or restarting anything.

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/kolodkin/devpowers/local-docker-debug
Any agent
npx skills add kolodkin/devpowers --skill local-docker-debug
Clone the repo
git clone --depth 1 https://github.com/kolodkin/devpowers

Made for: Claude Code, Codex.

Per session 68 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 986 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 1 finding. Scan, not verified.
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 $0.00068 $0.00986
Opus 5 $0.00034 $0.00493
Sonnet 5 $0.00014 $0.00197
Haiku 4.5 $0.00007 $0.00099

Measured yesterday against content hash 06bd9b21d11f, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

local-docker-debug 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 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.

Makes network callslowCapability

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

- `curl` for connectivity checks against services the user explicitly asks about
skills/local-docker-debug/SKILL.md · 96 lines

How it starts

The opening of the file, as written. The whole thing — 96 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Local Docker Debugging

Discover and tail logs for Docker containers running on the local Docker daemon.

Arguments

/local-docker-debug [container-name ...]
  • container-name (optional, repeatable) — One or more container names or IDs to tail. If omitted, run the discovery phase and ask the user which containers to tail.

IMPORTANT

This skill is strictly read-only on the local Docker daemon. NEVER run docker exec, docker build, docker compose up/down, docker run, docker rm, docker stop, docker restart, or any command that modifies container or host state. Only the following are allowed:

  • docker ps (and variants with --format, -a, --filter)
  • docker logs (with --tail, --since, -f)
  • docker inspect (read-only metadata)
  • curl for connectivity checks against services the user explicitly asks about

If the user asks for anything that would mutate state, refuse and explain that this skill is read-only.

Step 1: Discovery Phase

Run when no container names were supplied, or when the user explicitly asks "what's running" / "list containers" / similar.

List running containers with a clean, parseable format:

docker ps --format 'table {{.Names}}\t{{.Image}}\t{{.Status}}\t{{.Ports}}'

To include stopped containers as well, add -a:

docker ps -a --format 'table {{.Names}}\t{{.Image}}\t{{.Status}}'

Present the list to the user and ask which containers they'd like to tail. If there are obvious candidates based on the user's stated goal (e.g. they mentioned a service name that matches a container), suggest those by name.

Step 2: Tail Logs

For each container the user selected (or supplied as arguments), start a background log stream. Launch all streams in parallel:

docker logs -f --tail 1000 <container-name> 2>&1
# Run with run_in_background: true

Repeat one invocation per container. Tell the user which streams are running and that you'll check them as needed.

Use Read on the background output files to inspect logs during the session. When the user describes a symptom, grep through the captured output rather than re-tailing.

Read the full file on GitHub · 96 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. yesterday First seen · 96 lines · 68 tokens per session scan A 06bd9b21d11f

Subscribe to this mod's changes

local-docker-debug is a skill published in the GitHub repository kolodkin/devpowers (2 stars, last pushed 23d ago), licensed MIT. It adds 68 tokens to every session and 986 once invoked, about $0.0003 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.

Related

Other skills, from other repositories

systematic-debugging

Use when encountering any bug, test failure, or unexpected behavior, before proposing fixes.

obra/superpowers · 21 tokens

next-cache-components-adoption

Turn on Cache Components in a Next.js app and resolve the blocking routes it surfaces. Use when the user wants to enable, adopt, or migrate to Cache Components, flip the cacheComponents flag, work through a flood of blocking-prerender / instant validation errors, run the cache-components-instant-false codemod, or…

vercel/next.js · 95 tokens

babysit-pr

Babysit a GitHub pull request after creation by continuously polling review comments, CI checks/workflow runs, and mergeability state until the PR is merged/closed or user help is required. Diagnose failures, retry likely flaky failures up to 3 times, auto-fix/push branch-related issues when appropriate, and keep…

openai/codex · 114 tokens

imagegen

Generate or edit raster images when the task benefits from AI-created bitmap visuals such as photos, illustrations, textures, sprites, mockups, or transparent-background cutouts. Use when Codex should create a brand-new image, transform an existing image, or derive visual variants from references, and the output…

openai/codex · 113 tokens

cpu-profile-analysis

Analyze V8/Chrome CPU profiles (.cpuprofile) and DevTools trace files (Trace-.json). Use when: profiling performance, investigating slow functions, comparing code paths, finding bottlenecks, analyzing timeToRequest, understanding call trees from sampling profiler data, analyzing layout/paint/rendering, investigating…

microsoft/vscode · 71 tokens

next-cache-components-optimizer

Drive a Next.js route to instant navigation by setting up an agentic loop, under Cache Components / PPR, on initial load (hard navigation) and client-side navigation (soft navigation). Encode the goal as a failing @next/playwright instant() e2e and work it to green, one verified route at a time; the shipped test then…

vercel/next.js · 170 tokens