ida-domain-scripting（ida 域脚本）

IMPORTANT - Path Resolution: This skill can be installed in different locations. Before executing any commands, determine the skill directory based on where you loaded this SKILL.md file, and use that path in all commands below. Replace $SKILL_DIR with the actual discovered path.

Common installation paths:

• Project-specific: <project>/.claude/skills/ida-domain-scripting
• Manual global: ~/.claude/skills/ida-domain-scripting

IDA Domain Scripting

General-purpose binary analysis skill. I'll write custom IDAPython code for any reverse engineering task you request and execute it via the universal executor.

CRITICAL WORKFLOW - Follow these steps in order:

1. Create a work dir in /tmp with timestamp - NEVER write scripts to skill directory; always create a workdir /tmp/ida-domain-YYYYMMDD_HHMMSS_ffffff-<name> with microseconds for uniqueness (e.g., /tmp/ida-domain-20260109_143052_847291-list-functions). Generate timestamp with: datetime.now(). strftime ('%Y%m%d_%H%M%S_%f'). This will always be referenced as <work_dir>
2. Check API_REFERENCE.md exists - Always check that $SKILL_DIR/API_REFERENCE.md exists. Inform the user to run the bootstrap if not.
3. Execute from skill directory - Always run: cd $SKILL_DIR && uv run python run.py <work_dir>/script.py -f <binary>
4. Ask before saving - Scripts that modify the database require explicit user confirmation before using --save

How It Works

1. You describe what you want to analyze/extract
2. I write custom IDA Domain API code in <work_dir>/script.py (timestamped with microseconds for parallel execution)
3. I execute it via: cd $SKILL_DIR && uv run python run.py <work_dir>/script.py -f <binary>
4. Results displayed in real-time
5. Script files auto-cleaned from /tmp by your OS

Setup (First Time)

cd $SKILL_DIR && uv run python setup.py

This clones ida-domain from GitHub and installs dependencies. Only needed once.

Using a specific version:

uv run python setup.py --ref v0.1.0   # Specific release
uv run python setup.py --ref main     # Bleeding edge

Requirements:

• uv package manager
• git
• IDA Pro 9.1+
• IDADIR environment variable pointing to IDA installation

Execution Pattern

Step 1: Write analysis script to <work_dir>

# <work_dir>/script.py
for func in db.functions:
    name = db.functions.get_name(func)
    print(f"{name}: 0x{func.start_ea:08X}")

Step 2: Execute from skill directory

cd $SKILL_DIR && uv run python run.py <work_dir>/script.py -f /path/to/binary

Step 3: Review results

Scripts are auto-wrapped with Database.open() boilerplate. The db variable is available for accessing all entities.

Common Patterns

List All Functions

# <work_dir>/script.py
for func in db.functions:
    name = db.functions.get_name(func)
    size = func.end_ea - func.start_ea
    print(f"{name}: 0x{func.start_ea:08X} - 0x{func.end_ea:08X} ({size} bytes)")

Find Function by Name

# <work_dir>/script.py
func = db.functions.get_function_by_name("main")
if func:
    print(f"Found main at 0x{func.start_ea:08X}")

    # Get callers
    callers = db.functions.get_callers(func)
    print(f"Called by {len(callers)} functions:")
    for caller in callers:
        print(f"  - {db.functions.get_name(caller)}")
else:
    print("main not found")

Search Strings

# <work_dir>/script.py
import re

# Find all strings
for s in db.strings:
    print(f"0x{s.address:08X}: {s}")

# Find URLs
url_pattern = re.compile(r"https?://[\w./]+", re.IGNORECASE)
for s in db.strings:
    try:
        content = str(s)
        if url_pattern.search(content):
            print(f"URL found: {content}")
    except:
        pass

Analyze Cross-References

# <work_dir>/script.py
# Get xrefs TO an address
target = 0x00401000
print(f"References TO 0x{target:08X}:")
for xref in db.xrefs.to_ea(target):
    print(f"  From 0x{xref.from_ea:08X} (type: {xref.type.name})")

# Get xrefs FROM an address
print(f"References FROM 0x{target:08X}:")
for xref in db.xrefs.from_ea(target):
    print(f"  To 0x{xref.to_ea:08X} (type: {xref.type.name})")

Decompile Function

# <work_dir>/script.py
func = db.functions.get_function_by_name("main")
if func:
    try:
        lines = db.functions.get_pseudocode(func)
        print("\n".join(lines))
    except RuntimeError as e:
        print(f"Decompilation failed: {e}")

Analyze Function Complexity

# <work_dir>/script.py
complex_funcs = []
for func in db.functions:
    flowchart = db.functions.get_flowchart(func)
    if flowchart:
        block_count = len(flowchart)
        edge_count = sum(b.count_successors() for b in flowchart)
        cyclomatic = edge_count - block_count + 2

        if cyclomatic > 10:
            name = db.functions.get_name(func)
            complex_funcs.append((name, func.start_ea, cyclomatic))

complex_funcs.sort(key=lambda x: x[2], reverse=True)
print("Most complex functions:")
for name, addr, cc in complex_funcs[:10]:
    print(f"  {name}: complexity={cc} at 0x{addr:08X}")

Search Byte Patterns

# <work_dir>/script.py
# Search for NOP sled
pattern = b"\x90\x90\x90\x90"
results = db.bytes.find_binary_sequence(pattern)
for addr in results:
    print(f"Found NOP sled at 0x{addr:08X}")

# Search for x64 function prologue
prologue = b"\x55\x48\x89\xE5"  # push rbp; mov rbp, rsp
for addr in db.bytes.find_binary_sequence(prologue):
    print(f"Prologue at 0x{addr:08X}")

Export to JSON

# <work_dir>/script.py
import json
from pathlib import Path

functions = []
for func in db.functions:
    name = db.functions.get_name(func)
    functions.append({
        "name": name,
        "start": f"0x{func.start_ea:08X}",
        "end": f"0x{func.end_ea:08X}",
        "size": func.end_ea - func.start_ea,
    })

output = {"module": db.module, "functions": functions}
Path("/tmp/functions.json").write_text(json.dumps(output, indent=2))
print(f"Exported {len(functions)} functions to /tmp/functions.json")

Inline Execution (Simple Tasks)

For quick one-off tasks, you can execute code inline without creating files:

# Quick function count
cd $SKILL_DIR && uv run python run.py -c "print(f'Functions: {len(db.functions)}')" -f binary

# Get binary info
cd $SKILL_DIR && uv run python run.py -c "print(f'{db.module}: {db.architecture} {db.bitness}-bit')" -f binary

When to use inline vs files:

• Inline: Quick one-off tasks (count functions, get binary info, check if symbol exists)
• Files: Complex analysis, multi-step tasks, anything user might want to re-run

Advanced Usage

For comprehensive IDA Domain API documentation, see API_REFERENCE.md:

• Database properties and metadata
• Function enumeration and analysis
• String detection and searching
• Cross-reference queries
• Byte pattern matching
• Control flow analysis
• Decompilation (Hex-Rays)
• Type information
• Comments and names

Tips

• Default is read-only - Use --save only when modifications should persist (and ask user first!)
• Timeout - Default 30 minutes; use --timeout 0 for long-running analysis
• No-wrap mode - Use --no-wrap when your script already has Database.open()
• Error handling - Always use try-except for decompilation and string operations
• Check for None - Functions like get_function_by_name() return None if not found

Troubleshooting

When encountering errors: Check the ida-domain source code first by searching for the method signature in $SKILL_DIR/ida-domain/ida_domain/. The API may differ from what's documented or expected.

Virtual environment not found:

cd $SKILL_DIR && uv run python setup.py

IDA SDK fails to load / IDADIR error:

export IDADIR=/path/to/ida

Script timeout:

cd $SKILL_DIR && uv run python run.py --timeout 3600 ...  # 1 hour
cd $SKILL_DIR && uv run python run.py --timeout 0 ...     # No timeout

AttributeError: 'Xrefs' has no attribute 'get_xrefs_to': Use db.xrefs.to_ea(addr) not db.xrefs.get_xrefs_to(addr)

AttributeError on func_t object: Call methods on db.functions, not on the func object:

# Wrong: func.get_callers()
# Right: db.functions.get_callers(func)

UnicodeDecodeError when reading strings:

for s in db.strings:
    try:
        content = str(s)
    except:
        continue  # Skip problematic strings

Example Usage

User: "How many functions are in this binary?"

Claude: I'll count the functions. Let me analyze the binary...
[Writes: <work_dir>/script.py]
[Runs: cd $SKILL_DIR && uv run python run.py <work_dir>/script.py -f binary]
[Output: Functions: 250]

The binary contains 250 functions.

User: "Find all functions that call malloc"

Claude: I'll find all callers of malloc...
[Writes: <work_dir>/script.py]
[Runs: cd $SKILL_DIR && uv run python run.py <work_dir>/script.py -f binary]
[Output: malloc called by 15 functions: sub_401000, sub_402000, ...]

Found 15 functions that call malloc:
- sub_401000 at 0x00401000
- sub_402000 at 0x00402000
...

User: "Decompile the main function and save it"

Claude: I'll decompile main and save the output...
[Writes: <work_dir>/script.py]
[Runs: cd $SKILL_DIR && uv run python run.py <work_dir>/script.py -f binary]
[Output: Saved to /tmp/main.c]

Done! The decompiled code is saved to /tmp/main.c