Find CEngineClient GetStatsAppID logo

Find CEngineClient GetStatsAppID

Organization
HLND2T
find-CEngineClient_GetStatsAppID

Recover CEngineClient_GetStatsAppID in CS2 engine binaries (Windows only) when the find-CEngineClient_GetStatsAppID preprocessor fails. Verify current vtable entries and function semantics rather than reusing historical addresses or signatures. Trigger: CEngineClient_GetStatsAppID

Overview

PublisherHLND2T
RepositoryCS2_VibeSignatures
Skill namefind-CEngineClient_GetStatsAppID
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 CEngineClient GetStatsAppID 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-CEngineClient_GetStatsAppID
  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-CEngineClient_GetStatsAppID .claude/skills/find-CEngineClient_GetStatsAppID
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Find CEngineClient GetStatsAppID 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 CEngineClient GetStatsAppID 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 CEngineClient GetStatsAppID 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 CEngineClient_GetStatsAppID (Agent fallback)

Recover the single output of find-CEngineClient_GetStatsAppID using the assigned IDA Pro MCP database. The preprocessor ida_preprocessor_scripts/find-CEngineClient_GetStatsAppID.py remains the normal fast path.

Realworld Function References

Read the applicable current inputs and the annotated references below. Source-owned 14192 YAMLs and stored disassembly are reference-build evidence; verify addresses, slot indices and semantics in the assigned binary. Never copy a reference target YAML into the active output directory as a substitute for analysis.

  • ida_preprocessor_scripts/references/engine/InitSteam.windows.yaml
  • bin_artifacts/14192/engine/g_nBreakpadAppId.windows.yaml
  • bin_artifacts/14192/engine/CEngineClient_vtable.windows.yaml

Output inventory

Module: engine. Platform scope: Windows only. Do not emit a Linux output.

PlatformOutput filename14192 reference entryReference slot / offset
windowsCEngineClient_GetStatsAppID.windows.yaml0x18007637015 / 0x78

Output metadata uses exactly vtable_name=CEngineClient_vtable; the concrete table artifact is CEngineClient_vtable.<platform>.yaml. Omit func_sig: this getter/thunk has no stable function signature under the producer contract.

Step 0. Bind the task and skip an existing output

Call idb_list and reuse the database assigned by the runner. Confirm the input path, image base and platform with IDA; do not open, switch, close or quit the runner's database. The binary is engine2.dll. Resolve the active artifact module directory from CS2VIBE_ARTIFACT_DIR (also visible inside IDA's environment). If unset, stop and request the assigned artifact directory; never write YAML beside the binary. For the current platform, skip the output if it already exists there and parses as a non-empty mapping. Do not overwrite a result produced by an earlier alternative.

Load the platform-specific configured inputs named above from that active artifact root, not from the 14192 reference tree. Resolve ../client or ../server relative to the active module directory. Missing required inputs must be reported; do not open another binary to reconstruct them.

Step 1. Locate and verify the target

Load g_nBreakpadAppId.windows.yaml from the active engine artifact directory; it is a global-variable artifact, so use its gv_va, not /get-func-from-yaml. InitSteam identifies this global through the BreakpadAppId / BreakpadAppId_Tools KeyValues settings and the Steam AppId(%d), BreakpadId(%d)\n log. It must not be confused with g_nSteamAppId.

Enumerate reads of the current global and intersect their entrypoints with the live CEngineClient_vtable. The target returns that app ID; on 14192 it is a load into EAX followed by RET. If the getter has no IDA function yet, use the vtable pointer as entry evidence and recover conservatively. Follow a tail helper only to establish semantics and retain the vtable entry. Do not select InitSteam, a logging caller, or another app-ID global's getter.

Step 2. Handle missing IDA function boundaries

A vtable YAML can exist even though IDA has not defined its target functions. For each plausible entry, verify the live 64-bit slot pointer, executable segment and decoded instruction boundary. If no function owns the entry, use conservative function definition and wait for analysis, then require the resulting function start to equal the slot pointer. Never delete bytes, split an existing function, or normalize an interior pointer to a neighbouring function's start. If a function already owns an unexpected interior entry, inspect and report the boundary conflict instead of forcing it.

Treat short adjusting thunks as legitimate vtable entrypoints. Follow their destinations for semantic verification, but preserve the slot's actual entry address in the artifact. Distinct-address candidate counts are not vtable slot counts. Confirm the target's slot by live pointer equality; use /get-vtable-index where helpful, and report multiple plausible slots rather than selecting an arbitrary duplicate.

Signatures and YAML output

Do not generate or carry forward func_sig, even if an old artifact contains one. Use /write-vfunc-as-yaml through its IDA py_eval implementation in the assigned session to write the YAML; do not substitute CLI shell or file-edit tools. Parameters:

  • artifact_name=CEngineClient_GetStatsAppID and func_name=CEngineClient_GetStatsAppID.
  • func_addr: the verified concrete entry in the assigned binary; emit func_va, func_rva = VA - image_base and the verified current func_size. Never emit a bodyless slot-only result for this target.
  • vtable_name=CEngineClient_vtable, current vfunc_index and vfunc_offset = index * 8.
  • vfunc_sig=None and vfunc_sig_disp=None; this target describes a concrete function, not a caller's vcall.
  • func_sig=None; ensure the field is absent in the written YAML.

Write only CEngineClient_GetStatsAppID.windows.yaml as applicable, under the active artifact module directory. The trusted analyzer validates and canonicalizes this semantic payload. Read back the output and verify its name, fields, slot (when applicable), RVA and platform against the live database before reporting success.

Failure handling

If required inputs are missing, candidates remain ambiguous, entry recovery is unsafe, or no standalone entry can be verified, stop and report the exact missing output plus the semantic evidence examined. Do not invent a signature/address, create a placeholder YAML, disable config entries, or claim that a failed lookup proves the game removed the function. Do not run the failed preprocessor as the fallback's solution.

Frequently asked questions

What does the Find CEngineClient GetStatsAppID AI skill do?

Recover CEngineClient_GetStatsAppID in CS2 engine binaries (Windows only) when the find-CEngineClient_GetStatsAppID preprocessor fails. Verify current vtable entries and function semantics rather than reusing historical addresses or signatures. Trigger: CEngineClient_GetStatsAppID

Why use Find CEngineClient GetStatsAppID on TypingMind?

Because you install it once and use it with any model. Find CEngineClient GetStatsAppID 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 CEngineClient GetStatsAppID in TypingMind?

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

Which AI models can use Find CEngineClient GetStatsAppID?

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 CEngineClient GetStatsAppID?

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

Is the Find CEngineClient GetStatsAppID 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.

View all

Set up your own AI workspace now

Get notified about new features and future giveaways by subscribing to our newsletter 👇