write-func-as-yaml

name	write-func-as-yaml
description	Write function analysis results as YAML file beside the binary using IDA Pro MCP. Use this skill after completing function identification and signature generation to persist the results in a standardized YAML format. For virtual functions with known vtable index, use write-vfunc-as-yaml instead.

Write Function IDA Analysis Output as YAML

Persist function analysis results to a YAML file beside the binary using IDA Pro MCP.

Prerequisites

Before using this skill, you should have:

1. Identified and renamed the target function
2. Generated a unique signature using /generate-signature-for-function

Required Parameters

Parameter	Description	Example
func_name	Name of the function	CBaseModelEntity_SetModel
func_addr	Virtual address of the function	0x180A8CA10
func_sig	Unique byte signature	41 B8 80 00 00 00 48 8D 99 10 05 00 00

Method

mcp__ida-pro-mcp__py_eval code="""
import idaapi
import os
import yaml

# === REQUIRED: Replace these values ===
func_name = "<func_name>"           # e.g., "CBaseModelEntity_SetModel"
func_addr = <func_addr>             # e.g., 0x180A8CA10
func_sig = "<func_sig>"             # e.g., "41 B8 80 00 00 00"
# ======================================

# Get function size
func = idaapi.get_func(func_addr)
func_size = func.size() if func else 0

# Get binary path and determine platform
input_file = idaapi.get_input_file_path()
dir_path = os.path.dirname(input_file)

if input_file.endswith('.dll'):
    platform = 'windows'
    image_base = idaapi.get_imagebase()
else:
    platform = 'linux'
    image_base = 0x0

func_rva = func_addr - image_base

data = {
    'func_name': func_name,
    'func_va': hex(func_addr),
    'func_rva': hex(func_rva),
    'func_size': hex(func_size),
    'func_sig': func_sig,
}

yaml_path = os.path.join(dir_path, f"{func_name}.{platform}.yaml")
with open(yaml_path, 'w', encoding='utf-8') as f:
    yaml.dump(data, f, default_flow_style=False, sort_keys=False)
print(f"Written to: {yaml_path}")
"""

Output File Naming Convention

The output YAML filename follows this pattern:

• <func_name>.<platform>.yaml

Examples:

• server.dll → CBaseModelEntity_SetModel.windows.yaml

• libserver.so / libserver.so → CBaseModelEntity_SetModel.linux.yaml

• engine2.dll → CServerSideClient_IsHearingClient.windows.yaml

• libengine2.so → CServerSideClient_IsHearingClient.linux.yaml

Output YAML Format

func_name: CBaseModelEntity_SetModel
func_va: 0x180A8CA10   # Virtual address - changes with game updates
func_rva: 0xA8CA10     # Relative virtual address (VA - image base) - changes with game updates
func_size: 0x3F        # Function size in bytes - changes with game updates
func_sig: 41 B8 80 00 00 00 48 8D 99 10 05 00 00  # Unique byte signature

Platform Detection

The skill automatically detects the platform based on file extension:

• .dll → Windows (uses idaapi.get_imagebase() for image base)
• .so → Linux (uses 0x0 as image base)

Notes

• All values marked "changes with game updates" should be regenerated when analyzing new binary versions
• The YAML file is written to the same directory as the input binary
• func_size is automatically calculated from IDA's function analysis
• func_rva is automatically calculated as func_va - image_base
• For virtual functions with vtable information, use /write-vfunc-as-yaml instead