Agent skill

Kernel Debugging Advanced

by mohitmishra786 in mohitmishra786/low-level-dev-skills

Advanced kernel debugging skill for ftrace, trace-cmd, perf, kprobes, kgdb, and crash analysis.

MITAuto-check passedDevelopment

Install Kernel Debugging Advanced

skills CLI
$ npx skills add mohitmishra786/low-level-dev-skills --skill kernel-debugging-advanced -a claude-code

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

GitHub CLI
$ gh skill install mohitmishra786/low-level-dev-skills kernel-debugging-advanced --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/mohitmishra786/low-level-dev-skills.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/kernel-dev/kernel-debugging-advanced .claude/skills/kernel-debugging-advanced && 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
kernel-debugging-advanced
GitHub stars
253
Token cost
~855 tokens
SKILL.md length
192 words
Files
1
Skills in repo
138
Repo updated
First seen
Licence
MIT

At a glance

Advanced kernel debugging skill for ftrace, trace-cmd, perf, kprobes, kgdb, and crash analysis.

  • Works in 8 steps: ftrace function graph → trace-cmd record → perf in kernel context → …
  • Tracing kernel functions
  • SKILL.md covers Purpose, When to Use, Workflow and Common Problems, plus 1 more section
  • Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md

What it does

Kernel Debugging Advanced is an agent skill from mohitmishra786/low-level-dev-skills. Advanced kernel debugging skill for ftrace, trace-cmd, perf, kprobes, kgdb, and crash analysis. Use when tracing kernel functions, profiling syscalls in kernel, dynamic instrumentation, or analyzing vmcore. Activates on queries about ftrace, trace-cmd, kprobe, kgdb, kernel crash dump, or dyndbg.

Its SKILL.md is about 860 tokens, which your agent loads only when the skill is triggered. It is a single SKILL.md file with no bundled scripts.

It sits in Development, covering Debugging, Mobile performance and Observability. It works with Linux. The repository describes itself as: A curated suite of AI agent skills for systems and low-level programming with C/C++, Rust, and Zig toolchains, covering compilers, debuggers, profilers, build systems…. The licence is MIT.

When your agent uses it

  • Tracing kernel functions
  • Profiling syscalls in kernel
  • Dynamic instrumentation
  • Analyzing vmcore

Example prompts

  • “/kernel-debugging-advanced”

Workflow steps

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

  1. ftrace function graph
  2. trace-cmd record
  3. perf in kernel context
  4. kprobes (dynamic)
  5. dyndbg and printk discipline
  6. kgdb / kdb
  7. Crash dump (vmcore)
  8. Agent usage

What it can do on your machine

Read from SKILL.md and the folder at commit bdc5847. It shows what the files ask for, not the result of running them.

  • Tool permissions

    Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.

    From allowed-tools in the SKILL.md frontmatter.

  • Runs code

    No scripts in the folder and no shell commands in SKILL.md (its code samples are bash and c).

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

  • Network

    No URLs in SKILL.md.

    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

Kernel Debugging Advanced loads about 855 tokens when it runs. Until then it costs about 81 tokens; SKILL.md has 192 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~81
When it runs · the whole SKILL.md, loaded when a task matches
~855

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 passed

The automated check found no risky patterns in SKILL.md.

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); files beside SKILL.md are not scanned.

SKILL.md

The full file from mohitmishra786/low-level-dev-skills at commit bdc5847, republished under its MIT licence (© mohitmishra786). 192 words, ~855 tokens.

Download SKILL.mdSave it as .claude/skills/kernel-debugging-advanced/SKILL.md (or your agent's skills folder).
name
kernel-debugging-advanced
description
Advanced kernel debugging skill for ftrace, trace-cmd, perf, kprobes, kgdb, and crash analysis. Use when tracing kernel functions, profiling syscalls in kernel, dynamic instrumentation, or analyzing vmcore. Activates on queries about ftrace, trace-cmd, kprobe, kgdb, kernel crash dump, or dyndbg.

Advanced Kernel Debugging

Purpose

Extend skills/kernel/kernel-debugging with production-grade tracing: ftrace, trace-cmd, kernel perf, kprobes/kretprobes, kgdb, crash dump analysis, and printk discipline. Not merged with kernel-debugging — that skill covers baseline kgdb/dyndbg; this one focuses on trace-cmd, function_graph, and live/post-mortem production workflows.

When to Use

  • Latency spikes in kernel driver without obvious bug
  • Tracing function call graph in kernel
  • Live inspection without recompiling (kprobes, bpf)
  • Post-mortem vmcore after panic

Workflow

1. ftrace function graph
bash
# Enable function graph tracer
echo function_graph > /sys/kernel/debug/tracing/current_tracer
echo my_driver_probe > /sys/kernel/debug/tracing/set_graph_function
echo 1 > /sys/kernel/debug/tracing/tracing_on
# reproduce issue
cat /sys/kernel/debug/tracing/trace
echo 0 > /sys/kernel/debug/tracing/tracing_on

Requires CONFIG_FUNCTION_GRAPH_TRACER and debugfs mounted.

2. trace-cmd record
bash
trace-cmd record -p function_graph -F my_probe
trace-cmd report
trace-cmd stat

Portable capture for sharing with others.

3. perf in kernel context
bash
perf record -a -g -- sleep 10
perf report --stdio
perf probe --add my_driver:probe

See skills/profilers/linux-perf for userspace overlap.

4. kprobes (dynamic)
c
#include <linux/kprobes.h>

static struct kprobe kp = {
    .symbol_name = "do_sys_open",
    .pre_handler = handler,
};
register_kprobe(&kp);

Use sparingly in production; prefer static tracepoints when available.

5. dyndbg and printk discipline
bash
echo 'module mydriver +p' > /sys/kernel/debug/dynamic_debug/control
echo 'file drivers/foo/*.c +p' > /sys/kernel/debug/dynamic_debug/control
c
pr_debug("state=%d\n", s);           /* compile-time optional */
printk_ratelimited(KERN_WARNING "hw fault\n");
6. kgdb / kdb
bash
# kernel cmdline: kgdboc=ttyS0,115200 kgdbwait
echo g > /proc/sysrq-trigger   # break into debugger (when configured)
7. Crash dump (vmcore)
bash
# after kdump capture
crash /usr/lib/debug/vmlinux vmcore
crash> bt
crash> dev -s
8. Agent usage
/kernel-debugging-advanced Trace my_driver_ioctl latency with ftrace function_graph

Common Problems

SymptomCauseFix
Empty traceTracer not enabledtracing_on; check current_tracer
ftrace overheadGraph all functionsFilter with set_graph_function
kprobe failInlined symbolTry nearby symbol or static key
kgdb no connectWrong kgdboc ttyMatch serial/USB gadget
crash no symbolsMissing debuginfoInstall linux-image-dbg / vmlinux
  • skills/kernel/kernel-debugging — baseline kgdb, dyndbg
  • skills/profilers/linux-perf — perf record/report
  • skills/observability/ebpf — BPF kprobe alternative
  • skills/kernel-dev/writing-char-drivers — ioctl trace targets
  • skills/debuggers/core-dumps — userspace core parallels

© mohitmishra786, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file

Files

Just SKILL.md in skills/kernel-dev/kernel-debugging-advanced of mohitmishra786/low-level-dev-skills.

Open the folder on GitHubat commit bdc5847

Compare with similar skills

Kernel Debugging Advanced 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.

Kernel Debugging Advanced compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Kernel Debugging Advanced this skillmohitmishra786/low-level-dev-skills253—~855Automated safety check: PassMIT
PlotJuggler 4 Perf ProfilingPlotJuggler/PlotJuggler6.2k—~1.6kAutomated safety check: NotesMPL-2.0
The Art of Debuggingstas00/the-art-of-debugging1.7k—~6.1kAutomated safety check: NotesCC-BY-SA-4.0
Dotnet Debuggingnovotnyllc/dotnet-artisan233—~2.1kAutomated safety check: PassMIT
Mecatl Perf MCP Interpretationstacklok/mecatl218—~2.3kAutomated safety check: PassApache-2.0
LoopX Performance Diagnosisloopx-project/loopx6.2k—~880Automated safety check: PassApache-2.0

Similar skills

  • PlotJuggler 4 Perf Profiling

    PlotJuggler/PlotJuggler

    Guides CPU profiling of PlotJuggler 4 on Linux with perf: count first, record cheaply with LBR, then read per-thread, flat, flamegraph or time-window views.

    6.2k GitHub stars~1.6k tokensUpdated 6 days ago
    DevelopmentAuto-check: notes
  • The Art of Debugging

    stas00/the-art-of-debugging

    Condensed debugging method and tool recipes for Unix, Python and PyTorch programs: crashes, hangs, segfaults, wrong output, CUDA OOM, NaN values and slowness.

    1.7k GitHub stars~6.1k tokensUpdated yesterday
    DevelopmentAuto-check: notes
  • Dotnet Debugging

    novotnyllc/dotnet-artisan

    Debugs Windows and Linux/macOS applications (native, .NET/CLR, mixed-mode) with WinDbg MCP (crash dumps, !analyze, !syncblk, !dlk, !runaway, !dumpheap, !gcroot, BSOD), dotnet-dump, lldb with SOS…

    233 GitHub stars~2.1k tokensUpdated 1 mo ago
    DevelopmentAuto-check passed
  • Guides reading mecatl's perf MCP data to find why a running harness is slow, leaking goroutines or growing in memory, using cheap reads before any CPU capture.

    218 GitHub stars~2.3k tokensUpdated yesterday
    DevelopmentAuto-check passed
  • LoopX Performance Diagnosis

    loopx-project/loopx

    Profiles a slow command or runtime you own with the right profiler for its language, using uninstrumented baseline timings and keeping raw profiling evidence local and private.

    6.2k GitHub stars~880 tokensUpdated today
    DevelopmentAuto-check passed
  • Advpl Debugging

    thalysjuvenal/advpl-specialist

    A skill your agent uses when the user asks to debug, diagnose, or fix an ADVPL/TLPP error on TOTVS Protheus -- compilation errors (syntax, missing includes, undeclared variables), runtime failures…

    185 GitHub stars~487 tokensUpdated 23 days ago
    DevelopmentAuto-check passed

More from mohitmishra786/low-level-dev-skills

All 138 skills in this repo
  • ARM and AArch64 Assembly

    mohitmishra786/low-level-dev-skills

    Guides reading and writing AArch64 and ARM Thumb assembly: compiler output, inline asm, registers, the AAPCS calling convention and NEON or SVE basics.

    253 GitHub stars~1.9k tokensUpdated 3 mo ago
    Auto-check passed
  • RISC-V Assembly Guide

    mohitmishra786/low-level-dev-skills

    Reference for RISC-V assembly on RV32 and RV64: register names and calling convention, extension naming, GCC and Clang inline asm, and QEMU with GDB debugging.

    253 GitHub stars~1.8k tokensUpdated 3 mo ago
    Auto-check passed
  • x86-64 Assembly Reference

    mohitmishra786/low-level-dev-skills

    Explains x86-64 registers, the System V AMD64 calling convention, and how to read compiler-generated or inline assembly.

    253 GitHub stars~1.5k tokensUpdated 3 mo ago
    Auto-check passed
  • Bazel for C and C++

    mohitmishra786/low-level-dev-skills

    Guides your agent through Bazel for C/C++ projects: BUILD files, Bzlmod dependencies, toolchain registration, remote execution, dependency queries and sandbox debugging.

    253 GitHub stars~1.5k tokensUpdated 3 mo ago
    Auto-check passed
  • Binary Hardening

    mohitmishra786/low-level-dev-skills

    Binary hardening skill for security-hardened C/C++ builds. An agent skill from mohitmishra786/low-level-dev-skills.

    253 GitHub stars~2k tokensUpdated 3 mo ago
    Auto-check passed
  • Binutils

    mohitmishra786/low-level-dev-skills

    GNU binutils skill for binary manipulation and analysis. An agent skill from mohitmishra786/low-level-dev-skills.

    253 GitHub stars~1.2k tokensUpdated 3 mo ago
    Auto-check passed

Works with

Categories

Questions about Kernel Debugging Advanced

What does Kernel Debugging Advanced do?

Advanced kernel debugging skill for ftrace, trace-cmd, perf, kprobes, kgdb, and crash analysis. Kernel Debugging Advanced is an agent skill from mohitmishra786/low-level-dev-skills. Advanced kernel debugging skill for ftrace, trace-cmd, perf, kprobes, kgdb, and crash analysis.

When should I use Kernel Debugging Advanced?

Kernel Debugging Advanced fits situations like: tracing kernel functions; profiling syscalls in kernel; dynamic instrumentation; analyzing vmcore.

How do I install Kernel Debugging Advanced in Claude Code?

Run `npx skills add mohitmishra786/low-level-dev-skills --skill kernel-debugging-advanced -a claude-code`. Or copy the skill folder (skills/kernel-dev/kernel-debugging-advanced in mohitmishra786/low-level-dev-skills) into .claude/skills/kernel-debugging-advanced in your project. Claude Code loads it when a task matches its description.

How do I install Kernel Debugging Advanced in Codex?

Run `npx skills add mohitmishra786/low-level-dev-skills --skill kernel-debugging-advanced -a codex`. Or copy the skill folder (skills/kernel-dev/kernel-debugging-advanced in mohitmishra786/low-level-dev-skills) into .agents/skills/kernel-debugging-advanced in your project. Codex loads it when a task matches its description.

Can I use Kernel Debugging Advanced 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 mohitmishra786/low-level-dev-skills --skill kernel-debugging-advanced -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/kernel-debugging-advanced, .gemini/skills/kernel-debugging-advanced, .github/skills/kernel-debugging-advanced and .opencode/skills/kernel-debugging-advanced in your project.

What does Kernel Debugging Advanced need to run?

SKILL.md names no scripts, command-line tools or credentials: Kernel Debugging Advanced is instructions for the agent only.

Does Kernel Debugging Advanced access the network?

SKILL.md contains no URLs. Any network use would come from the scripts or tools the agent runs. This is read from the text; nothing was executed.

Is Kernel Debugging Advanced safe to install?

Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. Review the folder before installing.

What licence does Kernel Debugging Advanced use?

Kernel Debugging Advanced is published under the MIT licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.

How many tokens does Kernel Debugging Advanced use?

About 855 tokens (SKILL.md is roughly 3.4k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.

What are the alternatives to Kernel Debugging Advanced?

Skills that share tags, products or a category with Kernel Debugging Advanced: PlotJuggler 4 Perf Profiling (PlotJuggler/PlotJuggler, 6.2k stars), The Art of Debugging (stas00/the-art-of-debugging, 1.7k stars), Dotnet Debugging (novotnyllc/dotnet-artisan, 233 stars) and Mecatl Perf MCP Interpretation (stacklok/mecatl, 218 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Kernel Debugging Advanced?

mohitmishra786 (a GitHub user) maintains it in mohitmishra786/low-level-dev-skills, which has 253 GitHub stars. The repository holds 138 skills in this directory. The repository was last updated on June 27, 2026.

Source: mohitmishra786/low-level-dev-skills on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.