Agent skill

Dwarf Expert

by sickn33 in sickn33/agentic-awesome-skills

Provides expertise for analyzing DWARF debug files and understanding the DWARF debug format/standard (v3-v5).

MITAuto-check: notes

Install Dwarf Expert

skills CLI
$ npx skills add sickn33/agentic-awesome-skills --skill dwarf-expert -a claude-code

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

GitHub CLI
$ gh skill install sickn33/agentic-awesome-skills dwarf-expert --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/sickn33/agentic-awesome-skills.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/dwarf-expert .claude/skills/dwarf-expert && 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
dwarf-expert
GitHub stars
47k
Used in
2 other repos
Token cost
~1.3k tokens
SKILL.md length
479 words
Files
1
Skills in repo
1,493
Repo updated
First seen
Licence
MIT

At a glance

Provides expertise for analyzing DWARF debug files and understanding the DWARF debug format/standard (v3-v5).

  • Works in 3 steps: Official DWARF Standards (dwarfstd.org):… → LLVM DWARF Implementation: The LLVM… → libdwarf: The reference C implementation…
  • Understanding DWARF information
  • SKILL.md covers When to Use This Skill, When NOT to Use This Skill, Structural Validation and Quality Metrics, plus 4 more sections
  • Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md

What it does

Dwarf Expert is an agent skill from sickn33/agentic-awesome-skills. Provides expertise for analyzing DWARF debug files and understanding the DWARF debug format/standard (v3-v5). Triggers when understanding DWARF information, interacting with DWARF files, answering DWARF-related questions, or working with code that parses DWARF data.

Its SKILL.md is about 1.3k tokens, which your agent loads only when the skill is triggered. It is a single SKILL.md file with no bundled scripts.

It works with C++. The repository describes itself as: AAS Core is the local, agent-first control plane for complete catalog discovery, agent-owned selection, stack validation, and planning, backed by 2,400+ agentic skills. Includes… The licence is MIT.

When your agent uses it

  • Understanding DWARF information
  • Interacting with DWARF files
  • Answering DWARF-related questions
  • Working with code that parses DWARF data

Example prompts

  • “Use the dwarf-expert skill to provide expertise for analyzing DWARF debug files and understanding the DWARF debug format/standard (v3-v5)”
  • “/dwarf-expert”

Requirements

  • Pre-approved tools (allowed-tools): Read, Bash, Grep, Glob, WebSearch

Workflow steps

3 steps, taken from the first numbered list in SKILL.md.

  1. Official DWARF Standards (dwarfstd.org): Use web search to find specific sections of the official DWARF specification at dwarfstd.org…
  2. LLVM DWARF Implementation: The LLVM project's DWARF handling code at llvm/lib/DebugInfo/DWARF/ serves as a reliable reference…
  3. libdwarf: The reference C implementation at github.com/davea42/libdwarf-code provides detailed handling of DWARF data structures.

What it can do on your machine

Read from SKILL.md and the folder at commit 680176d. 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
    • Glob
    • WebSearch

    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).

    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

Dwarf Expert loads about 1.3k tokens when it runs. Until then it costs about 70 tokens; SKILL.md has 479 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~70
When it runs · the whole SKILL.md, loaded when a task matches
~1.3k

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, Glob, WebSearch

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 sickn33/agentic-awesome-skills at commit 680176d, republished under its MIT licence (© sickn33). 479 words, ~1,313 tokens.

Download SKILL.mdSave it as .claude/skills/dwarf-expert/SKILL.md (or your agent's skills folder).
name
dwarf-expert
description
Provides expertise for analyzing DWARF debug files and understanding the DWARF debug format/standard (v3-v5). Triggers when understanding DWARF information, interacting with DWARF files, answering DWARF-related questions, or working with code that parses DWARF data.
allowed-tools
Read, Bash, Grep, Glob, WebSearch
risk
critical
source
community
date_added
2026-09-04

Overview

This skill provides technical knowledge and expertise about the DWARF standard and how to interact with DWARF files. Tasks include answering questions about the DWARF standard, providing examples of various DWARF features, parsing and/or creating DWARF files, and writing/modifying/analyzing code that interacts with DWARF data.

When to Use This Skill

  • Understanding or parsing DWARF debug information from compiled binaries
  • Answering questions about the DWARF standard (v3, v4, v5)
  • Writing or reviewing code that interacts with DWARF data
  • Using dwarfdump or readelf to extract debug information
  • Verifying DWARF data integrity with llvm-dwarfdump --verify
  • Working with DWARF parsing libraries (libdwarf, pyelftools, gimli, etc.)

When NOT to Use This Skill

  • DWARF v1/v2 Analysis: Expertise limited to versions 3, 4, and 5.
  • General ELF Parsing: Use standard ELF tools if DWARF data isn't needed.
  • Executable Debugging: Use dedicated debugging tools (gdb, lldb, etc) for debugging executable code/runtime behavior.
  • Binary Reverse Engineering: Use dedicated RE tools (Ghidra, IDA) unless specifically analyzing DWARF sections.
  • Compiler Debugging: DWARF generation issues are compiler-specific, not covered here.

Authoritative Sources

When specific DWARF standard information is needed, use these authoritative sources:

  1. Official DWARF Standards (dwarfstd.org): Use web search to find specific sections of the official DWARF specification at dwarfstd.org. Search queries like "DWARF5 DW_TAG_subprogram attributes site:dwarfstd.org" are effective.

  2. LLVM DWARF Implementation: The LLVM project's DWARF handling code at llvm/lib/DebugInfo/DWARF/ serves as a reliable reference implementation. Key files include:

    • DWARFDie.cpp - DIE handling and attribute access
    • DWARFUnit.cpp - Compilation unit parsing
    • DWARFDebugLine.cpp - Line number information
    • DWARFVerifier.cpp - Validation logic
  3. libdwarf: The reference C implementation at github.com/davea42/libdwarf-code provides detailed handling of DWARF data structures.

Verification Workflows

Use llvm-dwarfdump verification options to validate DWARF data integrity:

Structural Validation

bash
# Verify DWARF structure (compile units, DIE relationships, address ranges)
llvm-dwarfdump --verify <binary>

# Detailed error output with summary
llvm-dwarfdump --verify --error-display=full <binary>

# Machine-readable JSON error summary
llvm-dwarfdump --verify --verify-json=errors.json <binary>

Quality Metrics

bash
# Output debug info quality metrics as JSON
llvm-dwarfdump --statistics <binary>

The --statistics output helps compare debug info quality across compiler versions and optimization levels.

Show full SKILL.md (187 more words)Show less

Common Verification Patterns

  • After compilation: Verify binaries have valid DWARF before distribution
  • Comparing builds: Use --statistics to detect debug info quality regressions
  • Debugging debuggers: Identify malformed DWARF causing debugger issues
  • DWARF tool development: Validate parser output against known-good binaries

Parsing DWARF Debug Information

readelf

ELF files can be parsed via the readelf command ({baseDir}/reference/readelf.md). Use this for general ELF information, but prefer dwarfdump for DWARF-specific parsing.

dwarfdump

DWARF files can be parsed via the dwarfdump command, which is more effective at parsing and displaying complex DWARF information than readelf and should be used for most DWARF parsing tasks ({baseDir}/reference/dwarfdump.md).

Working With Code

This skill supports writing, modifying, and reviewing code that interacts with DWARF data. This may involve code that parses DWARF debug data from scratch or code that leverages libraries to parse and interact with DWARF data ({baseDir}/reference/coding.md).

Choosing Your Approach

┌─ Need to verify DWARF data integrity?
│   └─ Use `llvm-dwarfdump --verify` (see Verification Workflows above)
├─ Need to answer questions about the DWARF standard?
│   └─ Search dwarfstd.org or reference LLVM/libdwarf source
├─ Need simple section dump or general ELF info?
│   └─ Use `readelf` ({baseDir}/reference/readelf.md)
├─ Need to parse, search, and/or dump DWARF DIE nodes?
│   └─ Use `dwarfdump` ({baseDir}/reference/dwarfdump.md)
└─ Need to write, modify, or review code that interacts with DWARF data?
    └─ Refer to the coding reference ({baseDir}/reference/coding.md)

Limitations

  • Use this skill only when the task clearly matches the scope described above.
  • Do not treat the output as a substitute for environment-specific validation, testing, or expert review.
  • Stop and ask for clarification if required inputs, permissions, safety boundaries, or success criteria are missing.

© sickn33, 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/dwarf-expert of sickn33/agentic-awesome-skills.

Open the folder on GitHubat commit 680176d

Used in 2 other repositories

We found 11 copies of this SKILL.md (exact, near-identical or edited) in other folders, from 2 other GitHub owners. This page covers the copy in sickn33/agentic-awesome-skills, which our catalogue first saw on October 7, 2026.

Compare with similar skills

Dwarf Expert 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.

Dwarf Expert compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Dwarf Expert this skillsickn33/agentic-awesome-skills47k2 repos~1.3kAutomated safety check: NotesMIT
Paddle BuildPaddlePaddle/Paddle24k—~1kAutomated safety check: PassApache-2.0
Fory Releaseapache/fory4.6k—~2.9kAutomated safety check: PassApache-2.0
ONNX Runtime Shape Inference Safety Auditmicrosoft/onnxruntime22k—~3.3kAutomated safety check: PassMIT
Code Audit3stoneBrother/code-audit8921 repos~2.7kAutomated safety check: PassNone
Qt C++ Code Reviewx-tools-author/x-tools1.1k2 repos~4.3kAutomated safety check: PassBSD-3-Clause

Similar skills

  • Paddle Build

    PaddlePaddle/Paddle

    A skill your agent uses when needing to compile, rebuild, or install Paddle from source after code changes.

    24k GitHub stars~1k tokensUpdated today
    AI & LLM EngineeringAuto-check passed
  • Fory Release

    apache/fory

    Prepare an Apache Fory release candidate from a clean release branch, including the version bump, RC tag, JVM staging, ASF source artifacts, SVN upload, and vote email.

    4.6k GitHub stars~2.9k tokensUpdated yesterday
    Auto-check passed
  • Official

    Finds and fixes out-of-range output writes in ONNX Runtime operator shape-inference functions where a getNumOutputs guard admits too few outputs.

    22k GitHub stars~3.3k tokensUpdated today
    SecurityAuto-check passed
  • Code Audit

    3stoneBrother/code-audit

    Professional code security audit skill covering 55+ vulnerability types.

    892 GitHub starsUsed in 1 repo~2.7k tokens
    SecurityAuto-check passed
  • Qt C++ Code Review

    x-tools-author/x-tools

    Read-only review of Qt6 C++ code that combines a deterministic lint script with six parallel analysis agents and reports only high-confidence issues.

    1.1k GitHub starsUsed in 2 repos~4.3k tokens
    DevelopmentAuto-check passed
  • Translation

    doxygen/doxygen

    Keeps all Doxygen and Doxywizard translations up to date across three mechanisms: translator C++ classes (src/translatorxx.h), Qt .ts locale files for the Doxywizard GUI (addon/doxywizard/i18n/)…

    6.6k GitHub stars~5.2k tokensUpdated 8 days ago
    Writing & ContentAuto-check passed

More from sickn33/agentic-awesome-skills

All 1,493 skills in this repo
  • Liuguang Banlan UI

    sickn33/agentic-awesome-skills

    Implements an interface in one of two named color modes, iridescent white or colorful black, from a parameterized starter that reports measured color intensity.

    47k GitHub starsUsed in 1 repo~2.5k tokens
    Auto-check passed
  • User Thoughts Memory

    sickn33/agentic-awesome-skills

    Saves a user's project decisions, rules and preferences into a project-local mdbase so later sessions and other agents can recover the intent.

    47k GitHub starsUsed in 1 repo~2.5k tokens
    Auto-check passed
  • Using LWC Memory and Graphs

    sickn33/agentic-awesome-skills

    Keeps project decisions, research and verified results available across coding-agent sessions through LWC memory, a document Wiki graph and a CodeGraph code index.

    47k GitHub starsUsed in 1 repo~2k tokens
    Auto-check passed
  • Find Complementary Founders

    sickn33/agentic-awesome-skills

    Guides an agent through assessing its own owner for cofounder fit, publishing an approved profile, and ranking complementary profiles other agents published for their owners.

    47k GitHub starsUsed in 1 repo~4.8k tokens
    Auto-check passed
  • Whatsapp Cloud API

    sickn33/agentic-awesome-skills

    Integracao com WhatsApp Business Cloud API (Meta). An agent skill from sickn33/agentic-awesome-skills.

    47k GitHub starsUsed in 2 repos~4.5k tokens
    Auto-check passed
  • Cline Pilot

    sickn33/agentic-awesome-skills

    Acts as a proxy for the Cline CLI, dispatching coding tasks one at a time, monitoring runs by hard evidence, relaying decisions to you and learning per-project preferences.

    47k GitHub starsUsed in 1 repo~4.6k tokens
    Auto-check passed

Works with

Questions about Dwarf Expert

What does Dwarf Expert do?

Provides expertise for analyzing DWARF debug files and understanding the DWARF debug format/standard (v3-v5). Dwarf Expert is an agent skill from sickn33/agentic-awesome-skills. Provides expertise for analyzing DWARF debug files and understanding the DWARF debug format/standard (v3-v5).

When should I use Dwarf Expert?

Dwarf Expert fits situations like: understanding DWARF information; interacting with DWARF files; answering DWARF-related questions; working with code that parses DWARF data.

How do I install Dwarf Expert in Claude Code?

Run `npx skills add sickn33/agentic-awesome-skills --skill dwarf-expert -a claude-code`. Or copy the skill folder (skills/dwarf-expert in sickn33/agentic-awesome-skills) into .claude/skills/dwarf-expert in your project. Claude Code loads it when a task matches its description.

How do I install Dwarf Expert in Codex?

Run `npx skills add sickn33/agentic-awesome-skills --skill dwarf-expert -a codex`. Or copy the skill folder (skills/dwarf-expert in sickn33/agentic-awesome-skills) into .agents/skills/dwarf-expert in your project. Codex loads it when a task matches its description.

Can I use Dwarf Expert 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 sickn33/agentic-awesome-skills --skill dwarf-expert -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/dwarf-expert, .gemini/skills/dwarf-expert, .github/skills/dwarf-expert and .opencode/skills/dwarf-expert in your project.

What does Dwarf Expert need to run?

SKILL.md names no scripts, command-line tools or credentials: Dwarf Expert is instructions for the agent only. Its frontmatter pre-approves these tools: Read, Bash, Grep, Glob, WebSearch.

Does Dwarf Expert 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 Dwarf Expert 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. Review the folder before installing.

What licence does Dwarf Expert use?

Dwarf Expert 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 Dwarf Expert use?

About 1.3k tokens (SKILL.md is roughly 5.3k 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 Dwarf Expert?

Skills that share tags, products or a category with Dwarf Expert: Paddle Build (PaddlePaddle/Paddle, 24k stars), Fory Release (apache/fory, 4.6k stars), ONNX Runtime Shape Inference Safety Audit (microsoft/onnxruntime, 22k stars) and Code Audit (3stoneBrother/code-audit, 892 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Dwarf Expert?

sickn33 (a GitHub user) maintains it in sickn33/agentic-awesome-skills, which has 47,379 GitHub stars. The repository holds 1,493 skills in this directory. The repository was last updated on October 9, 2026.

Source: sickn33/agentic-awesome-skills on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.