
dwarf-expert
Analyzes DWARF debug information in compiled binaries. Use when inspecting .debug sections, DIE trees, or DWTAG/DWAT 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).
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Install
Works with every agent the skills CLI supports.
npx skills add https://github.com/trailofbits/skills --skill dwarf-expert- 01
Install
Run the command in your project. The CLI asks which agents to install for.
- 02
Describe the task
Ask your agent for something this skill covers. It loads dwarf-expert automatically when relevant.
- 03
Review the result
The agent follows the SKILL.md steps, scripts and references bundled with the skill.
Security audits
Independent scans of the skill's instructions and bundled files.
SKILL.md
The instructions your agent reads when the skill is triggered.
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.
FAQ
What does the dwarf-expert skill do?
Analyzes DWARF debug information in compiled binaries. Use when inspecting .debug sections, DIE trees, or DWTAG/DWAT 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 https://github.com/trailofbits/skills --skill dwarf-expert in your project. The skills CLI detects the agents you use and copies the skill into the right folder. For Claude Code you can also place the skill folder at ~/.claude/skills/dwarf-expert/ (personal) or .claude/skills/dwarf-expert/ (project).
Which AI agents can use dwarf-expert?
Any agent that supports the open Agent Skills format (a folder with a SKILL.md file), including Claude Code, Codex, Cursor, GitHub Copilot, Gemini CLI, Windsurf, Cline, OpenCode and more.
Is dwarf-expert safe to install?
Security partners have reviewed it: Gen Agent Trust Hub passed; Socket passed; Snyk passed; Runlayer flagged items to review; ZeroLeaks passed. As with any skill, read the SKILL.md and bundled scripts before installing.
Who maintains dwarf-expert?
It is published by trailofbits in trailofbits/skills. It has 5,240 recorded installs.
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