find-OnServerVoiceData_IsPlayingDemo_Callee

find-OnServerVoiceData_IsPlayingDemo_Callee is a skill for Claude Code from HLND2T/CS2_VibeSignatures. It costs 99 tokens per session (763 once invoked), scanned A, original, MIT.

A Windows-only script that finds the call to IsPlayingDemo inside the OnServerVoiceData function and writes patch information as YAML. It uses existing virtual-function reference data.

In plain words
What is it for?
Use it to generate a patch address for the IsPlayingDemo call when the required input YAML already exists.
Why use it?
It locates the exact call instruction deterministically, without relying on AI-assisted decompilation.

Skill for Claude Code

Written for Claude Code: disable-model-invocation in frontmatter.

Good fit Use it to generate a patch address for the IsPlayingDemo call when the required input YAML already exists.

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Install with agentmods
npx agentmods add skills/hlnd2t/cs2_vibesignatures/find-onservervoicedata_isplayingdemo_callee
Install

Getting it into your agent

One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.

Any agent
npx skills add HLND2T/CS2_VibeSignatures --skill find-onservervoicedata_isplayingdemo_callee
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 find-OnServerVoiceData_IsPlayingDemo_Callee

README.md
[![agentmods](https://agentmods.dev/badge/skills/hlnd2t/cs2_vibesignatures/find-onservervoicedata_isplayingdemo_callee/github.svg)](https://agentmods.dev/skills/hlnd2t/cs2_vibesignatures/find-onservervoicedata_isplayingdemo_callee)
Your own site
<a href="https://agentmods.dev/skills/hlnd2t/cs2_vibesignatures/find-onservervoicedata_isplayingdemo_callee"><img src="https://agentmods.dev/badge/skills/hlnd2t/cs2_vibesignatures/find-onservervoicedata_isplayingdemo_callee/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/find-onservervoicedata_isplayingdemo_callee"><img src="https://agentmods.dev/badge/skills/hlnd2t/cs2_vibesignatures/find-onservervoicedata_isplayingdemo_callee.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 99 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 763 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 $0.00099 $0.00763
Opus 5.5 $0.00040 $0.00305
Sonnet 5.5 $0.00020 $0.00153
Haiku 4.5 $0.00010 $0.00076

Measured 2mo ago against content hash 252aff6f6fbe, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

find-OnServerVoiceData_IsPlayingDemo_Callee 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 2mo 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/find-OnServerVoiceData_IsPlayingDemo_Callee/SKILL.md · 93 lines

How it starts

The opening of the file, as written. The whole thing — 93 lines — stays where its author put it; the contents beside it link to each section on GitHub.

OnServerVoiceData_IsPlayingDemo_Callee Patch Workflow

Overview

This Windows-only patch finder converts the already-generated IVEngineClient2_IsPlayingDemo.windows.yaml vfunc metadata into OnServerVoiceData_IsPlayingDemo_Callee.windows.yaml.

The target call site is inside C_ServerVoiceHandler::OnServerVoiceData:

mov     rcx, cs:g_pSource2EngineToClient
mov     rax, [rcx]
call    qword ptr [rax+150h]    ; IVEngineClient2::IsPlayingDemo
test    al, al
jz      short loc_...

The patch address is the address of the indirect call instruction itself.

Prerequisite

The following input YAML must already exist in the current client module output directory:

IVEngineClient2_IsPlayingDemo.windows.yaml

Its required fields are:

func_name: IVEngineClient2_IsPlayingDemo
vtable_name: IVEngineClient2
vfunc_offset: '0x150'
vfunc_index: 42
vfunc_sig: FF 90 50 01 00 00 84 C0 74 ?? 83 FD ??

Deterministic Preprocessor

Run through the configured ida_analyze_bin.py pipeline. The corresponding script is:

ida_preprocessor_scripts/find-OnServerVoiceData_IsPlayingDemo_Callee.py

The script performs these checks without LLM invocation:

  1. Rejects every platform except Windows.
  2. Reads the input vfunc YAML from the current client output directory.
  3. Verifies the function name, vtable name, and vfunc_offset / 8 == vfunc_index relationship.
  4. Verifies that vfunc_sig starts with the concrete encoding of call qword ptr [rax+vfunc_offset].
  5. Calls IDA MCP find_bytes with the full vfunc_sig and requires exactly one match.
  6. Writes the match address as patch_va, derives patch_rva from the image base, copies vfunc_sig to patch_sig, and writes patch_sig_disp: 0.

Output

For game version 14173, the expected output is:

patch_name: OnServerVoiceData_IsPlayingDemo_Callee
patch_va: '0x180aec45d'
patch_rva: '0xaec45d'
patch_sig: FF 90 50 01 00 00 84 C0 74 ?? 83 FD ??
patch_sig_disp: 0

Read the full file on GitHub · 93 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. 2mo ago First seen · 93 lines · 99 tokens per session scan A 252aff6f6fbe

Subscribe to this mod's changes

find-OnServerVoiceData_IsPlayingDemo_Callee is a skill published in the GitHub repository HLND2T/CS2_VibeSignatures (67 stars, last pushed today), licensed MIT. It adds 99 tokens to every session and 763 once invoked, about $0.0004 per session on Opus 5.5. 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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