Use when adding new error messages to React, or seeing "unknown error code" warnings.
npx skills add hzqst/CS2_VibeSignatures --skill "write-func-as-yaml"
Install specific skill from multi-skill repository
# 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.
# SKILL.md
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
# === 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
yaml_content = f'''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:
f.write(yaml_content)
print(f"Written to: {yaml_path}")
"""
Output File Naming Convention
The output YAML filename follows this pattern:
- <func_name>.<platform>.yaml
Examples:
- server.dll β CBaseModelEntity_SetModel.windows.yaml
- server.so / libserver.so β CBaseModelEntity_SetModel.linux.yaml
engine2.dllβCServerSideClient_IsHearingClient.windows.yamllibengine2.soβCServerSideClient_IsHearingClient.linux.yaml
Output YAML Format
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 β Windows (uses idaapi.get_imagebase() for image base)
- .so β 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-yamlinstead
# Supported AI Coding Agents
This skill is compatible with the SKILL.md standard and works with all major AI coding agents:
Learn more about the SKILL.md standard and how to use these skills with your preferred AI coding agent.