Find CNetworkGameServerBase ServiceQueue logo

Find CNetworkGameServerBase ServiceQueue

Organization
HLND2T
find-CNetworkGameServerBase_ServiceQueue

Final-guarantee fallback for the find-CNetworkGameServerBase_ServiceQueue preprocessor. Recovers CNetworkGameServerBase_ServiceQueue in CS2 engine2.dll / libengine2.so when the LLM_DECOMPILE preprocessor cannot resolve the tail-call target of CNetworkGameServerBase_SpawnGroupThink. Use this skill only after the deterministic preprocessor returns failure. Trigger: CNetworkGameServerBase_ServiceQueue

Overview

PublisherHLND2T
RepositoryCS2_VibeSignatures
Skill namefind-CNetworkGameServerBase_ServiceQueue
Stars
67
Forks
11
Bundled files
Instructions only
LicenseMIT
Links
  • Markdown instructions

    A SKILL.md file the model loads on demand, so it only costs tokens when a request actually matches.

  • Works with any LLM

    AI skills are plain Markdown, not provider-specific code, so this works with GPT, Claude, Gemini, Grok, or a local model.

  • Self-contained

    Everything the model needs lives in the instructions — no extra files to sync.

  • Open source

    Published by HLND2T on GitHub. Read the source before you install it.

Installation

Install the Find CNetworkGameServerBase ServiceQueue AI skill in TypingMind to use it with any LLM, or drop it into another agent that reads SKILL.md.

1

Install in TypingMind

TypingMind installs a skill straight from its GitHub folder — it reads SKILL.md, bundles the resource files, and stores the result locally.

  1. Open the app and go to Plugins → Skills.
  2. Choose "Install from GitHub".
  3. Paste the skill folder URL below and confirm.
    https://github.com/HLND2T/CS2_VibeSignatures/tree/main/.claude/skills/find-CNetworkGameServerBase_ServiceQueue
  4. Enable the skill in any chat where you want it available.
Plugins → Skills → Add skill → From GitHub URL, then paste the folder URL and press Continue.
2

Install in another agent

Any agent that reads the Agent Skills format can use this skill — copy the folder into that agent's skills directory.

Claude Code — .claude/skills
git clone --depth 1 https://github.com/HLND2T/CS2_VibeSignatures.git /tmp/CS2_VibeSignatures
mkdir -p .claude/skills
cp -r /tmp/CS2_VibeSignatures/.claude/skills/find-CNetworkGameServerBase_ServiceQueue .claude/skills/find-CNetworkGameServerBase_ServiceQueue
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Find CNetworkGameServerBase ServiceQueue in any TypingMind chat and the model takes it from there. Its name and description sit in the system prompt, and the moment a request matches, the model loads the full instructions itself — you never invoke it by hand, and it costs no tokens until it is actually used.

The model loads Find CNetworkGameServerBase ServiceQueue on its own as soon as a request matches it.

Works with any AI model

AI skills are plain Markdown instructions rather than provider-specific code, so Find CNetworkGameServerBase ServiceQueue is not tied to the model it was written for. Install it once in TypingMind and use it with GPT-5, Claude, Gemini, Grok, DeepSeek, Mistral, Llama, or a local model you run yourself — all on your own API keys.

  • Loaded only when it is needed

    The system prompt carries just the name and description. The instructions are fetched on the first matching request, so an idle skill costs nothing.

  • Switch models mid-chat

    Because the skill is instructions rather than code, changing model does not break it — the next model reads the same SKILL.md.

Skill instructions

This is the SKILL.md content the model loads. Read it before installing — a skill is instructions your model will follow.

Find CNetworkGameServerBase_ServiceQueue (final-guarantee fallback)

Recover the concrete CNetworkGameServerBase_ServiceQueue function in CS2 engine2.dll / libengine2.so using IDA Pro MCP tools. This is an Agent fallback: it runs only when ida_preprocessor_scripts/find-CNetworkGameServerBase_ServiceQueue.py cannot resolve the target.

Realworld Function References

The finder's LLM_DECOMPILE reference is the predecessor CNetworkGameServerBase_SpawnGroupThink, whose body ends by tail-calling CNetworkGameServerBase_ServiceQueue. Read the platform reference before searching in IDA; its addresses are reference-build values and must be verified against the current binary.

  • ida_preprocessor_scripts/references/engine/CNetworkGameServerBase_SpawnGroupThink.windows.yaml
  • ida_preprocessor_scripts/references/engine/CNetworkGameServerBase_SpawnGroupThink.linux.yaml

Background — what ServiceQueue is

CNetworkGameServerBase_SpawnGroupThink(this, spawnGroupQueue) ends by tail-calling CNetworkGameServerBase_ServiceQueue(this, spawnGroupQueue). In the reference build the tail call is the final jmp sub_XXXX in the function body:

.text:000000000051AA71    jmp sub_51A500   ; CNetworkGameServerBase_ServiceQueue

ServiceQueue is the routine that actually services the spawn-group queue: it loops with a ~5 ms time step (<now> + 0.005), walks 16-byte queue entries (shl reg, 4), and decrements the 16-bit pending-group counter at queue offset +0x16, until the deadline passes or the queue drains. Do not confuse it with its caller SpawnGroupThink — the target is the callee reached by that tail jump.

The reference artifacts are only orientation values (verify every field against the current binary):

PlatformReference func_vaReference func_rvaReference size
Windows0x1800b79900xb79900x1fe
Linux0x51a5000x51a5000x3d8

Step 0. Skip an existing output

If CNetworkGameServerBase_ServiceQueue.<platform>.yaml already exists in the active artifact module directory and parses to a non-empty mapping, skip that platform. Never derive the artifact path from bin.

Step 1. Load and decompile the predecessor

  1. Use SKILL /get-func-from-yaml with func_name=CNetworkGameServerBase_SpawnGroupThink to obtain its func_va. If it errors, STOP and report to user — this fallback cannot run without the predecessor.
  2. Decompile it (mcp__ida-pro-mcp__decompile at that address).
  3. Find the final tail call: a jmp sub_XXXX in the disassembly, or return sub_XXXX(a1, v4); in the pseudocode, that forwards the server object and the spawn-group queue pointer unchanged. That target is CNetworkGameServerBase_ServiceQueue.

Step 2. Confirm the candidate

Decompile the tail-call target and confirm it matches the ServiceQueue shape:

  • a while (1) loop gated on a timer read (a sub_XXXX() returning the current time, compared against a stored deadline of now + 0.005);
  • 16-byte queue-entry walks (shl reg, 4) and a decrement of the 16-bit counter at queue offset +0x16.

Reject a candidate that is only a wrapper that does not itself contain the queue-servicing loop.

Step 3. Generate the signature and write YAML

  1. Use SKILL /generate-signature-for-function with the resolved function address. The signature must be generated from the current function body and pass its uniqueness checks.
  2. Use SKILL /write-func-as-yaml with:
    • func_name=CNetworkGameServerBase_ServiceQueue
    • func_addr=<resolved address>
    • func_rva=<resolved address minus image base>
    • func_size=<current function size>
    • func_sig=<validated signature>

Write one output per input platform:

  • CNetworkGameServerBase_ServiceQueue.windows.yaml beside engine2.dll
  • CNetworkGameServerBase_ServiceQueue.linux.yaml beside libengine2.so

Frequently asked questions

What does the Find CNetworkGameServerBase ServiceQueue AI skill do?

Final-guarantee fallback for the find-CNetworkGameServerBase_ServiceQueue preprocessor. Recovers CNetworkGameServerBase_ServiceQueue in CS2 engine2.dll / libengine2.so when the LLM_DECOMPILE preprocessor cannot resolve the tail-call target of CNetworkGameServerBase_SpawnGroupThink. Use this skill only after the deterministic preprocessor returns failure. Trigger: CNetworkGameServerBase_ServiceQueue

Why use Find CNetworkGameServerBase ServiceQueue on TypingMind?

Because you install it once and use it with any model. Find CNetworkGameServerBase ServiceQueue is plain Markdown rather than provider-specific code, so the same skill runs on GPT-5, Claude, Gemini, Grok, or a local model — and you can switch model mid-chat without it breaking. TypingMind runs on your own API keys, so you pay providers directly instead of a per-seat subscription, and your skills and chats stay in your own storage.

How do I install Find CNetworkGameServerBase ServiceQueue in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/HLND2T/CS2_VibeSignatures/tree/main/.claude/skills/find-CNetworkGameServerBase_ServiceQueue. TypingMind reads its SKILL.md and installs it as a skill you can enable per chat.

Which AI models can use Find CNetworkGameServerBase ServiceQueue?

Any model you connect in TypingMind. AI skills are plain Markdown instructions rather than provider-specific code, so GPT, Claude, Gemini, Grok, and local models can all load this skill when a request matches it.

How many AI models can I use with Find CNetworkGameServerBase ServiceQueue?

As many as you like. As long as a model supports skills, you can use Find CNetworkGameServerBase ServiceQueue with it — GPT, Claude, Gemini, Grok, DeepSeek, Mistral, Llama and more — all on TypingMind with your own API keys.

Is the Find CNetworkGameServerBase ServiceQueue AI skill free?

Yes. It is published on GitHub by HLND2T under the MIT license. You only pay your own AI provider for the tokens you use.

What are AI skills?

An AI skill is a reusable instruction bundle that teaches an AI model how to do one specific task. It follows the open Agent Skills format: a SKILL.md file with a name and description, plus any scripts, templates or reference files the model may need. The model reads the instructions only when your request matches the skill, so an installed skill costs nothing until it is used.

How are AI skills different from plugins or MCP servers?

A plugin or MCP server gives a model new tools to call — code that runs somewhere and returns a result. An AI skill gives the model knowledge and process instead: how to approach a task, which steps to follow, what good output looks like. Skills are plain Markdown, so they need no server, no API key and no runtime, and they work with any model.

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