Install Dwarf Expert
Pick your agent. Every command is ready to paste.
npx skills add trailofbits/skills --skill dwarf-expertThe open skills CLI detects your agents (Claude Code, Cursor, Codex and 70+ more) and installs to the right folder. Add -g to install globally.
01
Install it
Run the command above, or upload the folder in Claude.
02
Ask naturally
Describe the task. Your agent loads dwarf-expert when the request matches its description.
03
Name it if needed
If it does not trigger, say “use the dwarf-expert skill”. In Codex, type $dwarf-expert.
DWARF Expert
Expertise for DWARF debug info: parsing and searching it, verifying its integrity, answering questions about the standard, and writing code that consumes it. Out of scope: runtime debugging (use gdb/lldb), reverse engineering beyond the DWARF sections (use Ghidra/IDA), and compiler-specific DWARF generation bugs.
Authoritative Sources
When precision matters, look standard details up instead of answering from memory:
- dwarfstd.org — the official specification. Web-search specific sections, e.g. "DWARF5 DW_TAG_subprogram attributes site:dwarfstd.org".
- LLVM —
llvm/lib/DebugInfo/DWARF/is a reliable reference implementation:DWARFDie.cpp(DIE and attribute access),DWARFUnit.cpp(compilation units),DWARFDebugLine.cpp(line tables),DWARFVerifier.cpp(validation). - libdwarf — the reference C implementation at github.com/davea42/libdwarf-code.
Parsing and Searching with dwarfdump
Prefer dwarfdump over readelf for DWARF-specific work. Two implementations
exist — libdwarf's dwarfdump and LLVM's llvm-dwarfdump — with different
options, and a bare dwarfdump command may be either: check dwarfdump --version
first. The options below are LLVM's.
On macOS, linked Mach-O executables do not carry DWARF: it stays in the .o
files until dsymutil collects it into a .dSYM bundle. Point dwarfdump at
the dSYM (or the object files), not the executable. pyelftools is ELF-only —
for Mach-O scripted work, stay with the LLVM tools.
--all: dump every DWARF section;--debug-info,--debug-line, etc. dump one--show-children [--recurse-depth=<n>]: include child DIEs when printing selected entries — parameters, locals, and struct members are children of function and type DIEs--show-parents [--parent-recurse-depth=<n>]: include parent DIEs--show-form: print attribute form types, for when encoding details matter--find=<name>: exact-name lookup via the accelerator tables — fast but not exhaustive; fall back to--namewhen it misses--name=<pattern> [--ignore-case] [--regex]: exhaustive DIE-name search--lookup=<address>: find the DIE covering an address--verbose: print low-level encoding detail
Searching DIEs
Escalate through these strategies as the query grows more complex:
- Name or address match:
--find, then--name;--lookupfor addresses. - Attribute or type queries (e.g. all parameters of type
float *): dump and filter.grep -Bpulls in the header line carrying each DIE's offset:llvm-dwarfdump file | grep -B 5 "float \*" | grep DW_TAG_formal_parameter, then print each DIE at its offset with--debug-info=<offset> --show-children(--lookuptakes a program address, not a DIE offset). - Multi-attribute or structural queries: when grep pipelines turn brittle,
write a Python script using
pyelftoolsinstead.
Verifying DWARF Integrity
llvm-dwarfdump --verify <binary>: structural checks (unit chains, DIE relationships, address ranges).--error-display=<quiet|summary|details|full>controls detail;--verify-json=<path>writes a machine-readable error summary;--quietfor exit-code-only checks.llvm-dwarfdump --statistics <binary>: debug-info quality metrics as JSON — compare across compiler versions or optimization levels to catch regressions.
Verify after producing DWARF (compilers, binary rewriters), when a debugger misbehaves on a binary, and when developing DWARF tooling against known-good files.
When a current-generation compiler emitted an old DWARF version, the build
explicitly passed -gdwarf-N — modern gcc and clang default to v4/v5, so check
the build system rather than assuming a toolchain default. GCC embeds its flags
in DW_AT_producer, so the pin is often readable right there; clang's producer
string carries no flags. Old versions remain common in the wild and read the
same way apart from surface forms: in v2 output, member offsets appear as
location expressions (DW_OP_plus_uconst) and linkage names as
DW_AT_MIPS_linkage_name.
readelf
For general ELF structure, or when dwarfdump is unavailable:
--debug-dump=<section>: dump a DWARF section (info,line, ...)--dwarf-depth=<n>/--dwarf-start=<n>: limit DIE depth / start offset
Writing Code That Parses DWARF
Prefer an existing library over parsing by hand:
| Library | Language | Notes |
|---|---|---|
libdwarf |
C/C++ | github.com/davea42/libdwarf-code — low-level; used to implement dwarfdump |
pyelftools |
Python | github.com/eliben/pyelftools — also parses ELF in general |
gimli |
Rust | github.com/gimli-rs/gimli — pair with object to load container files |
debug/dwarf |
Go | standard library |
LibObjectFile |
.NET | github.com/xoofx/LibObjectFile — also handles ELF/PE object files |
Default to Python with pyelftools for one-off scripts unless the task dictates
otherwise.
DWARF-specific pitfalls to handle — and to check for when reviewing DWARF code:
- Attributes are optional: a DIE may omit
DW_AT_name,DW_AT_type, ranges, etc. - Attribute indirection: a DIE's attributes may live on the DIE referenced by its
DW_AT_abstract_origin(inlined instances) orDW_AT_specification(out-of-line definitions) — resolve the chain before concluding data is absent. - Type chains: qualifiers and modifiers (
DW_TAG_const_type,DW_TAG_pointer_type, ...) wrap the underlying type; walkDW_AT_typelinks to reach the base type.
Tips for Dwarf Expert
- • Start a fresh session after installing so your agent picks up the new skill.
- • It bundles reference files. The agent reads them only when needed, so they cost no context until then.
- • It is part of a pack with 30 skills. Install only the ones you need with --skill to keep triggers precise.
- • If two skills overlap, mention the one you want by name.
Questions about Dwarf Expert
What does the Dwarf Expert skill do?
Analyzes DWARF debug information in compiled binaries. Use when inspecting .debug_* sections, DIE trees, or DW_TAG_/DW_AT_ entries with dwarfdump/llvm-dwarfdump or readelf, verifying debug info with llvm-dwarfdump --verify, answering DWARF standard questions, or writing code that parses DWARF (libdwarf, pyelftools, gimli).
How do I install Dwarf Expert?
Run "npx skills add trailofbits/skills --skill dwarf-expert" in your project. The skills CLI installs it for Claude Code, Cursor, Codex and 70+ other agents. In Claude on the web, upload the skill folder as a ZIP under Customize > Skills.
Does Dwarf Expert work in Cursor and Codex?
Yes. Dwarf Expert uses the open SKILL.md format, so it works in Claude Code, Claude, Cursor, OpenAI Codex, Gemini CLI, GitHub Copilot and other agents that support agent skills.
Is Dwarf Expert free?
Dwarf Expert is open source on GitHub under the CC-BY-SA-4.0 license. It is free to install; check the license before commercial use.
Who made Dwarf Expert?
Dwarf Expert is published by trailofbits in the trailofbits/skills repository, together with 29 other skills.


