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.
curl -O https://raw.githubusercontent.com/HLND2T/CS2_VibeSignatures/main/.claude/skills/write-vfunc-as-yaml/SKILL.mdgit clone --depth 1 https://github.com/HLND2T/CS2_VibeSignaturesWrote 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.
[](https://agentmods.dev/skills/hlnd2t/cs2_vibesignatures/write-vfunc-as-yaml)<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.
<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>- NVIDIA SkillSpector pass
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.
| Model | Per session | Once 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 |
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.
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:
- Identified and renamed the target virtual function
- Generated a unique signature using
/generate-signature-for-function - 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}")
"""
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.
- 3d ago Changed · +4 lines 8424f6940641
- 9d ago First seen · 173 lines · 50 tokens per session scan A e29b39e7f23e
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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