diag-container-oom

diag-container-oom is a skill for Claude Code, Codex from seed-forge/harness-ai-kit. It costs 50 tokens per session (1,672 once invoked), scanned A, original, Apache-2.0.

A diagnostic runbook for containers stopped by an out-of-memory condition. A container is an isolated process environment, and OOM means the operating system or container limit stopped it because it used too much memory.

In plain words
What is it for?
Use it to investigate OOM-killed Docker containers, compare memory use with configured limits, inspect swap and control-group data, and produce a root-cause report with repair suggestions.
Why use it?
It helps distinguish a memory limit problem from an application memory leak, insufficient swap, or host-level memory pressure. It checks kernel logs, container settings, control-group limits, and Docker Compose configuration.

Skill for Claude CodeCodex

Written for no agent in particular: nothing here depends on one.

Good fit Use it to investigate OOM-killed Docker containers, compare memory use with configured limits, inspect swap and control-group data, and produce a root-cause report with repair suggestions.

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Install with agentmods
npx agentmods add skills/seed-forge/harness-ai-kit/diag-container-oom
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 seed-forge/harness-ai-kit --skill diag-container-oom
Clone the repo
git clone --depth 1 https://github.com/seed-forge/harness-ai-kit

Made for: Claude Code, Codex.

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 diag-container-oom

README.md
[![agentmods](https://agentmods.dev/badge/skills/seed-forge/harness-ai-kit/diag-container-oom/github.svg)](https://agentmods.dev/skills/seed-forge/harness-ai-kit/diag-container-oom)
Your own site
<a href="https://agentmods.dev/skills/seed-forge/harness-ai-kit/diag-container-oom"><img src="https://agentmods.dev/badge/skills/seed-forge/harness-ai-kit/diag-container-oom/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 diag-container-oom

Your own site · 80×15
<a href="https://agentmods.dev/skills/seed-forge/harness-ai-kit/diag-container-oom"><img src="https://agentmods.dev/badge/skills/seed-forge/harness-ai-kit/diag-container-oom.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 50 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,672 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. Third-party audits
  • NVIDIA SkillSpector pass 7 Sept 2026
How audits are shown
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 $0.00050 $0.01672
Opus 5 $0.00025 $0.00836
Sonnet 5 $0.00010 $0.00334
Haiku 4.5 $0.00005 $0.00167

Measured 10d ago against content hash 642d66a3b11b, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-09, from the pricing page.

Security

Grade A, and why

diag-container-oom 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 10d 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.

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/diag-container-oom/SKILL.md · 198 lines

How it starts

The opening of the file, as written. The whole thing — 198 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Container OOM Full-Chain Diagnostics

用途

当容器被 OOM killed、docker inspect 显示 OOMKilled: true、或系统日志出现 OOM killer 记录时触发。

输入

  • 目标主机 + 容器名称/ID
  • 可选:Compose 文件路径

输出

  • OOM 根因分析报告 + 修复建议

诊断步骤

Step 1: 确认 OOM 事件

# 内核 OOM killer 日志
dmesg | grep -i "oom\|killed process" | tail -20
journalctl -k | grep -i oom | tail -20

# Docker 容器 OOM 状态
docker inspect {container} --format='{{.State.OOMKilled}} {{.State.ExitCode}} {{.State.Status}}'

# 最近 OOM 的容器
docker ps -a --filter "status=exited" --format '{{.Names}}: exit={{.Status}}' | head -10

Step 2: Cgroup 内存限制

# 容器的内存限制
docker inspect {container} --format='Memory limit: {{.HostConfig.Memory}} Swap: {{.HostConfig.MemorySwap}}'

# cgroup v1
cat /sys/fs/cgroup/memory/docker/{container_id}/memory.limit_in_bytes
cat /sys/fs/cgroup/memory/docker/{container_id}/memory.usage_in_bytes
cat /sys/fs/cgroup/memory/docker/{container_id}/memory.max_usage_in_bytes

# cgroup v2
cat /sys/fs/cgroup/system.slice/docker-{container_id}.scope/memory.max
cat /sys/fs/cgroup/system.slice/docker-{container_id}.scope/memory.current
cat /sys/fs/cgroup/system.slice/docker-{container_id}.scope/memory.events

Step 3: Compose / 运行时配置

# docker-compose.yml 中的 memory 配置
grep -A 5 "deploy\|mem_limit\|memory" docker-compose.yml

# 当前所有容器的内存限制
docker stats --no-stream --format "table {{.Name}}\t{{.MemUsage}}\t{{.MemPerc}}\t{{.Container}}"

Step 4: 系统内存状态

# 系统内存
free -h
cat /proc/meminfo | grep -E "MemTotal|MemFree|MemAvailable|SwapTotal|SwapFree|Buffers|Cached"

# Swap 使用
swapon --show

# 高内存进程
ps aux --sort=-%mem | head -15

Step 5: 应用内存分析

# JVM 应用(如果是 Java 容器)
docker exec {container} jcmd 1 VM.flags | grep -i heap
docker exec {container} jmap -heap 1 2>/dev/null | head -20

# Node.js 应用
docker exec {container} node -e "console.log(process.memoryUsage())"

# Python 应用
docker exec {container} python -c "import resource; print(resource.getrusage(resource.RUSAGE_SELF))"

Read the full file on GitHub · 198 lines

Files

What ships with it

3 files 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. 10d ago First seen · 198 lines · 50 tokens per session scan A 642d66a3b11b

Subscribe to this mod's changes

diag-container-oom is a skill published in the GitHub repository seed-forge/harness-ai-kit (22 stars, last pushed 9d ago), licensed Apache-2.0. It adds 50 tokens to every session and 1,672 once invoked, about $0.0003 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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