Agent skill

Crash Expert Skill

by infometa in infometa/workbuddyskills

Linux kernel vmcore/coredump analysis expert skill. An agent skill from infometa/workbuddyskills.

No licenceAuto-check: notesAgent Workflows

Install Crash Expert Skill

skills CLI
$ npx skills add infometa/workbuddyskills --skill crash-expert-skill -a claude-code

Project install by default; add -g for ~/.claude/skills/.

GitHub CLI
$ gh skill install infometa/workbuddyskills crash-expert-skill --agent claude-code

Project scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).

Manual copy
$ git clone --depth 1 https://github.com/infometa/workbuddyskills.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/crash-expert-skill .claude/skills/crash-expert-skill && rm -rf skills-src

Use ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.

Claude Code skills documentation · loads skills from .claude/skills/

Facts

Skill name
crash-expert-skill
GitHub stars
348
Token cost
~2.4k tokens
SKILL.md length
657 words
Files
15 (incl. scripts, references)
Skills in repo
218
Repo updated
First seen
Licence
None found

At a glance

Linux kernel vmcore/coredump analysis expert skill. An agent skill from infometa/workbuddyskills.

  • Works in 7 steps: 先全局后局部,避免锚定偏差(最重要!) → 证据驱动,杜绝臆断 → 局部变量查找策略 → …
  • Users need to analyze Linux kernel crash dumps (vmcore)
  • SKILL.md covers 完整流程总览(共 7 个阶段), 阶段零:前置环境检查, MCP 工具使用铁律 and 核心分析原则(必须严格遵守), plus 9 more sections
  • Runs Python and Shell scripts from its folder; calls git

What it does

Crash Expert Skill is an agent skill from infometa/workbuddyskills. Linux kernel vmcore/coredump analysis expert skill. Use when users need to analyze Linux kernel crash dumps (vmcore), investigate kernel panic causes, or debug kernel deadlocks, hung tasks, soft/hard lockups, BUGON, null pointer dereferences, OOM, or other kernel crash scenarios. Integrates with AiCrasher MCP tool for automated crash debugging across 7 analysis phases.

Its SKILL.md is about 2.4k tokens, which your agent loads only when the skill is triggered. The skill folder holds 18 other files, including scripts and reference files (for example `references/phases/mcp_tools_rules.md`, `references/phases/phase0_setup.md` and `references/phases/phase4_community_fix.md`).

It sits in Agent Workflows, covering MCP servers and Debugging. It works with Linux and Model Context Protocol. The repository describes itself as: WorkBuddy skills / connectors / experts archive for offline study.

When your agent uses it

  • Users need to analyze Linux kernel crash dumps (vmcore)
  • Investigate kernel panic causes
  • Debug kernel deadlocks
  • Soft/hard lockups

Example prompts

  • “/crash-expert-skill”

Requirements

  • Python 3
  • A Bash shell
  • Pre-approved tools (allowed-tools): Read, Bash, Grep

Workflow steps

7 steps, taken from the step headings in SKILL.md.

  1. 先全局后局部,避免锚定偏差(最重要!)
  2. 证据驱动,杜绝臆断
  3. 局部变量查找策略
  4. 禁止过早下结论
  5. 主动思考,不限于已知场景
  6. 🔴 内核参数/sysctl 查找策略:源码优先,禁止仅依赖 sym 搜索
  7. 🔴 单位换算必须交叉验证,禁止臆断单位

What it can do on your machine

Read from SKILL.md and the folder at commit 91b77ea. It shows what the files ask for, not the result of running them.

  • Tool permissions

    Pre-approves these tools, so the agent can use them without asking each time:

    • Read
    • Bash
    • Grep

    From allowed-tools in the SKILL.md frontmatter.

  • Runs code

    Ships 2 files in scripts/ (Python and Shell), which the agent can run.

    Shell commands in SKILL.md call:

    • git

    From the folder's file list and the shell code blocks in SKILL.md.

  • Network

    No URLs in SKILL.md. Its commands use git, which can reach the network depending on how they are called.

    From URLs in SKILL.md, links to its own repository left out.

  • Credentials

    Names no API keys, tokens, secrets or passwords.

    From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.

Context cost

Crash Expert Skill loads about 2.4k tokens when it runs, and up to ~31k if it reads all its reference files. Until then it costs about 98 tokens; SKILL.md has 657 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~98
When it runs · the whole SKILL.md, loaded when a task matches
~2.4k
With references · SKILL.md plus every file in references/, read only if the agent opens them
~31k

Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.

Safety

Auto-check: notes

The automated check noted patterns worth knowing about, such as sudo or a known installer.

  • NotePre-approves every shell command (allowed-tools: Bash)SKILL.md
    allowed-tools: Read, Bash, Grep

Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); the scripts in this folder are not scanned.

SKILL.md

Without a licence we can't republish the file, so here is its outline and opening line. It has 657 words (~2,381 tokens).

“本技能提供 Linux 内核 vmcore 深度分析的完整工作流,结合 AiCrasher MCP 工具实现自动化 crash 调试。”

— opening of SKILL.md by infometa
name
crash-expert-skill
allowed-tools
Read, Bash, Grep
description_zh
Linux 内核 vmcore 分析专家,诊断 panic/死锁/OOM 根因
description_en
Linux kernel vmcore expert for panic, deadlock, and OOM diagnosis
version
1.0.0

Read the full SKILL.md on GitHub

Files

SKILL.md and 14 other files (scripts, references) in skills/crash-expert-skill of infometa/workbuddyskills.

  • SKILL.md
  • references/phases/mcp_tools_rules.md
  • references/phases/phase0_setup.md
  • references/phases/phase4_community_fix.md
  • references/phases/phase5_mitigation.md
  • references/phases/phase6_report.md
  • references/reference/crash_commands.md
  • references/reference/scenario_analysis.md
  • references/reference/scenario_bug_null_ptr.md
  • references/reference/scenario_hung_task.md
  • references/reference/scenario_lockup.md
  • references/reference/scenario_oom_deadlock.md
  • references/reference/scenario_sysrq_virsh.md
  • scripts/crash_report_generator.py
  • scripts/setup.sh

Open the folder on GitHubat commit 91b77ea

Compare with similar skills

Crash Expert Skill next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.

Crash Expert Skill compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Crash Expert Skill this skillinfometa/workbuddyskills348—~2.4kAutomated safety check: NotesNone
Gearcoleco Debuggingdrhelius/Gearcoleco142—~3.5kAutomated safety check: PassGPL-3.0
Dotnet Debuggingnovotnyllc/dotnet-artisan232—~2.1kAutomated safety check: PassMIT
Local DevSmilyOrg/photofield608—~2.4kAutomated safety check: PassMIT
Embedded DebuggerAdancurusul/embedded-debugger-mcp202—~1.4kAutomated safety check: PassMIT
Memorywhalewuisabel-gif/MemWhale154—~765Automated safety check: PassMIT

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Questions about Crash Expert Skill

What does Crash Expert Skill do?

Linux kernel vmcore/coredump analysis expert skill. An agent skill from infometa/workbuddyskills. Crash Expert Skill is an agent skill from infometa/workbuddyskills. Linux kernel vmcore/coredump analysis expert skill.

When should I use Crash Expert Skill?

Crash Expert Skill fits situations like: users need to analyze Linux kernel crash dumps (vmcore); investigate kernel panic causes; debug kernel deadlocks; soft/hard lockups.

How do I install Crash Expert Skill in Claude Code?

Run `npx skills add infometa/workbuddyskills --skill crash-expert-skill -a claude-code`. Or copy the skill folder (skills/crash-expert-skill in infometa/workbuddyskills) into .claude/skills/crash-expert-skill in your project. Claude Code loads it when a task matches its description.

How do I install Crash Expert Skill in Codex?

Run `npx skills add infometa/workbuddyskills --skill crash-expert-skill -a codex`. Or copy the skill folder (skills/crash-expert-skill in infometa/workbuddyskills) into .agents/skills/crash-expert-skill in your project. Codex loads it when a task matches its description.

Can I use Crash Expert Skill in Cursor, Gemini CLI or GitHub Copilot?

Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add infometa/workbuddyskills --skill crash-expert-skill -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/crash-expert-skill, .gemini/skills/crash-expert-skill, .github/skills/crash-expert-skill and .opencode/skills/crash-expert-skill in your project.

What does Crash Expert Skill need to run?

Going by SKILL.md and its folder, Crash Expert Skill needs Python and a shell for the scripts in its folder and the command-line tools its instructions call (git). Our summary lists: Python 3; A Bash shell. Its frontmatter pre-approves these tools: Read, Bash, Grep.

Does Crash Expert Skill access the network?

SKILL.md contains no URLs. Its commands use git, which can reach the network depending on how they are called. This is read from the text; nothing was executed.

Is Crash Expert Skill safe to install?

Our automated static check of SKILL.md found notes only (pre-approves every shell command (allowed-tools: bash)), nothing it rates as a warning. It is not a guarantee. The check reads SKILL.md only: the scripts in the folder are not scanned, so read them before running anything.

What licence does Crash Expert Skill use?

No licence was found for Crash Expert Skill or its repository. Without one, default copyright applies: ask the author before reusing or redistributing it.

How many tokens does Crash Expert Skill use?

About 2.4k tokens (SKILL.md is roughly 9.5k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full. Its references folder adds about 29k tokens, read only when the agent opens those files.

What are the alternatives to Crash Expert Skill?

Skills that share tags, products or a category with Crash Expert Skill: Gearcoleco Debugging (drhelius/Gearcoleco, 142 stars), Dotnet Debugging (novotnyllc/dotnet-artisan, 232 stars), Local Dev (SmilyOrg/photofield, 608 stars) and Embedded Debugger (Adancurusul/embedded-debugger-mcp, 202 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Crash Expert Skill?

infometa (a GitHub user) maintains it in infometa/workbuddyskills, which has 348 GitHub stars. The repository holds 218 skills in this directory. The repository was last updated on October 9, 2026.

Source: infometa/workbuddyskills on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.