CS2_VibeSignatures: Skill for Claude Code

.claude/skills/write-vfunc-as-yaml/SKILL.md

write-vfunc-as-yaml is a skill for Claude Code from HLND2T/CS2_VibeSignatures. It costs 50 tokens per session (2,032 once invoked), scanned A, original, MIT.

A reverse-engineering skill for saving information about a virtual function and its place in a class's virtual-function table as YAML. A virtual function is a class method selected at runtime through a table of function entries.

In plain words
What is it for?
It helps record a virtual function's class, table index, offset, address, and signatures after IDA Pro analysis.
Why use it?
It preserves the discovered function and table details in a standard file so the results can be reused outside the analysis session.

Skill for Claude Code

Written for Claude Code: installed under .claude/.

This is HLND2T/CS2_VibeSignatures's own configuration. It tells Claude Code how to work on CS2_VibeSignatures itself, so it is not a mod to install elsewhere. Copy it as a starting point and replace the rules that are about this project. Everything CS2_VibeSignatures configures →

Reuse

Borrowing it

Nothing to install: this file belongs to HLND2T/CS2_VibeSignatures. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.

Copy the file
curl -O https://raw.githubusercontent.com/HLND2T/CS2_VibeSignatures/main/.claude/skills/write-vfunc-as-yaml/SKILL.md
Clone the repo
git clone --depth 1 https://github.com/HLND2T/CS2_VibeSignatures

Made for: Claude Code.

Wrote this? Show the measurements

A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.

agentmods badge for write-vfunc-as-yaml

README.md
[![agentmods](https://agentmods.dev/badge/skills/hlnd2t/cs2_vibesignatures/write-vfunc-as-yaml/github.svg)](https://agentmods.dev/skills/hlnd2t/cs2_vibesignatures/write-vfunc-as-yaml)
Your own site
<a href="https://agentmods.dev/skills/hlnd2t/cs2_vibesignatures/write-vfunc-as-yaml"><img src="https://agentmods.dev/badge/skills/hlnd2t/cs2_vibesignatures/write-vfunc-as-yaml/github.svg" alt="Measured on agentmods" height="20"></a>

Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.

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Your own site · 80×15
<a href="https://agentmods.dev/skills/hlnd2t/cs2_vibesignatures/write-vfunc-as-yaml"><img src="https://agentmods.dev/badge/skills/hlnd2t/cs2_vibesignatures/write-vfunc-as-yaml.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 50 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 2,032 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe. Third-party audits
  • NVIDIA SkillSpector pass 7 Sept 2026
How audits are shown
Origin original No closer match found in the catalogue.
Token cost

What it costs to keep this loaded

Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.

ModelPer sessionOnce invoked
Fable 5.1 $0.00050 $0.02032
Opus 5 $0.00025 $0.01016
Sonnet 5 $0.00010 $0.00406
Haiku 4.5 $0.00005 $0.00203

Measured 3d ago against content hash 8424f6940641, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-09, from the pricing page.

Security

Grade A, and why

write-vfunc-as-yaml scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 3d ago.

A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.

Nothing flagged

None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.

.claude/skills/write-vfunc-as-yaml/SKILL.md · 177 lines

How it starts

The opening of the file, as written. The whole thing — 177 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Write Virtual Function IDA Analysis Output as YAML

Persist virtual 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 virtual function
  2. Generated a unique signature using /generate-signature-for-function
  3. Obtained vtable information using /get-vtable-index

Required Parameters

Parameter Description Example
func_name Name of the function CCSPlayerController_ChangeTeam
vtable_name Class name for vtable CCSPlayerController
vfunc_offset Offset from vtable start 0x330
vfunc_index Index in vtable 102

Optional Parameters

Parameter Description Example
func_addr Virtual address of the function (use None to omit) 0x180999830
func_sig Unique byte signature to locate function body (use None to omit) 48 89 5C 24 08
vfunc_sig Unique byte signature to determine vfunc offset (use None to omit) FF 90 80 04 00 00 4C 8B AC 24 ?? ?? ?? ??
vfunc_sig_disp Byte displacement from signature start to the target instruction. 0 or None means signature starts at the target instruction. Non-zero means backward expansion was used by /generate-signature-for-vfuncoffset. (use None to omit) 3

When func_addr is None, the following fields will be omitted from output: func_va, func_rva, func_size. When func_sig is None, the func_sig field will be omitted from output. When vfunc_sig is None, the vfunc_sig field will be omitted from output. When vfunc_sig_disp is None or 0, the vfunc_sig_disp field will be omitted from output.

Method

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

# === REQUIRED: Replace these values ===
func_name = "<func_name>"           # e.g., "CCSPlayerController_ChangeTeam"
# ======================================

# === OPTIONAL: Set to None to omit from output ===
func_addr = <func_addr>             # e.g., 0x180999830 or None
func_sig = <func_sig>               # e.g., "48 89 5C 24 08" or None
vfunc_sig = <vfunc_sig>               # e.g., "FF 90 80 04 00 00 4C 8B AC 24 ?? ?? ?? ??" or None
vfunc_sig_disp = <vfunc_sig_disp>     # e.g., 3 or None (0 also omitted)
# =================================================

# === VTABLE INFO: Replace these values ===
vtable_name = "<vtable_name>"       # e.g., "CCSPlayerController"
vfunc_offset = <vfunc_offset>       # e.g., 0x330
vfunc_index = <vfunc_index>         # e.g., 102
# =========================================

# Get binary path and determine platform
input_file = idaapi.get_input_file_path()
dir_path = os.environ.get('CS2VIBE_ARTIFACT_DIR') or os.path.dirname(input_file)

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

# Build data dictionary conditionally
data = {}

data['func_name'] = func_name

if func_addr is not None:
    func = idaapi.get_func(func_addr)
    func_size = func.size() if func else 0
    func_rva = func_addr - image_base
    data['func_va'] = hex(func_addr)
    data['func_rva'] = hex(func_rva)
    data['func_size'] = hex(func_size)

if func_sig is not None:
    data['func_sig'] = func_sig

if vfunc_sig is not None:
    data['vfunc_sig'] = vfunc_sig

if vfunc_sig_disp is not None and vfunc_sig_disp > 0:
    data['vfunc_sig_disp'] = vfunc_sig_disp

data['vtable_name'] = vtable_name
data['vfunc_offset'] = hex(vfunc_offset)
data['vfunc_index'] = vfunc_index

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, allow_unicode=True)
print(f"Written to: {yaml_path}")
"""

Read the full file on GitHub · 177 lines

Changes

What this file has done since we first saw it

Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.

  1. 3d ago Changed · +4 lines 8424f6940641
  2. 9d ago First seen · 173 lines · 50 tokens per session scan A e29b39e7f23e

Subscribe to this mod's changes

write-vfunc-as-yaml is a skill published in the GitHub repository HLND2T/CS2_VibeSignatures (65 stars, last pushed today), licensed MIT. It adds 50 tokens to every session and 2,032 once invoked, about $0.0003 per session on Opus 5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.

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