halfstack

A troubleshooting guide for applications split across several Docker Compose services, such as an application, database, cache, and configuration store.

In plain words
What is it for?
Use it to inspect Docker Compose mappings and service health, check database, Valkey, and etcd state, and regenerate a supergraph.
Why use it?
It helps identify whether a problem comes from service settings, unhealthy services, or missing generated configuration.

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/lablup/backend.ai/halfstack
Any agent
npx skills add lablup/backend.ai --skill halfstack
Clone the repo
git clone --depth 1 https://github.com/lablup/backend.ai

Made for: Claude Code, Codex.

Per session 31 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 3,969 The whole file, excluding the scripts and references it only reads on demand.
Security scan C 2 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 $0.00031 $0.03969
Opus 5 $0.00015 $0.01985
Sonnet 5 $0.00006 $0.00794
Haiku 4.5 $0.00003 $0.00397

Measured yesterday against content hash cb4deec288d9, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade C, and why

halfstack scanned grade C with 2 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.

Recursive force deletehighDestructive command

rm -rf with a variable or a broad path is one typo away from removing the wrong tree.

[ -d "$f" ] && rm -rf "$f" && echo "Removed directory: $f"

Makes network callslowCapability

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

docker exec $MINIO_CONTAINER curl -sf http://localhost:9000/minio/health/live
.claude/skills/halfstack/SKILL.md · 371 lines

The source is not reproduced here

Licensed LGPL-3.0

The repository is licensed LGPL-3.0, which this catalogue does not treat as permission to reproduce the file. Read it at the source.

Read it on GitHub

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 · 371 lines · 31 tokens per session scan C cb4deec288d9

Subscribe to this mod's changes

halfstack is a skill published in the GitHub repository lablup/backend.ai (672 stars, last pushed 3d ago), licensed LGPL-3.0. It adds 31 tokens to every session and 3,969 once invoked, about $0.0002 per session on Opus 5. A static security scan graded it C with 2 findings (recursive force delete, makes network calls). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.

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