Find CEngineClient FindOrCreateWorldSession logo

Find CEngineClient FindOrCreateWorldSession

Organization
HLND2T
find-CEngineClient_FindOrCreateWorldSession

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

Overview

PublisherHLND2T
RepositoryCS2_VibeSignatures
Skill namefind-CEngineClient_FindOrCreateWorldSession
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 FindOrCreateWorldSession 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_FindOrCreateWorldSession
  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_FindOrCreateWorldSession .claude/skills/find-CEngineClient_FindOrCreateWorldSession
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Find CEngineClient FindOrCreateWorldSession 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 FindOrCreateWorldSession 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 FindOrCreateWorldSession 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_FindOrCreateWorldSession (Agent fallback)

Recover the single output of find-CEngineClient_FindOrCreateWorldSession using the assigned IDA Pro MCP database. The preprocessor ida_preprocessor_scripts/find-CEngineClient_FindOrCreateWorldSession.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.

  • bin_artifacts/14192/engine/CRenderingWorldSession_FindOrCreateWorldSession.windows.yaml
  • bin_artifacts/14192/engine/CRenderingWorldSession_GetEntityLumpForTemplate.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_FindOrCreateWorldSession.windows.yaml0x18007632013 / 0x68

Output metadata uses exactly vtable_name=CEngineClient_vtable; the concrete table artifact is CEngineClient_vtable.<platform>.yaml. Generate a validated function signature after identifying the current entry.

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 CRenderingWorldSession_FindOrCreateWorldSession and the exclusion CRenderingWorldSession_GetEntityLumpForTemplate through /get-func-from-yaml. Inspect all direct calls and tail jumps to the former and intersect their enclosing entrypoints with the live CEngineClient_vtable. The target is the engine-client interface wrapper forwarding world/session arguments; on Windows 14192 it reshuffles registers then tail-jumps to the rendering helper. Reject the entity-lump/template accessor even if it shares the same helper or prologue.

If xrefs have no containing function, start from the live vtable entries and inspect their instructions before recovering boundaries. If forwarding is outlined, follow the wrapper's callee; if it is inlined, verify world/session lookup-or-creation semantics inside the vtable entry. Keep the interface entry as the output, rather than returning the rendering helper's address. The old slot 13 is a reference, not a search rule.

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

Use /generate-signature-for-function on the verified current entry. Validate uniqueness in the assigned binary; do not copy the baseline signature. Keep the finder's existing generation options: these targets do not enable func_sig_allow_across_function_boundary, func_sig_resolve_jmp_thunk or func_sig_skip_degenerate; do not add those directives. If the fully wildcarded head is ambiguous, compare the competing matches and refine only distinguishing wildcard bytes within the verified function body, following the canonical refinement in ida_analyze_util.preprocess_gen_func_sig_via_mcp. Revalidate the pattern at the exact entry. If no valid unique body signature can be obtained, report the unresolved output instead of extending into neighbouring functions. 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_FindOrCreateWorldSession and func_name=CEngineClient_FindOrCreateWorldSession.
  • 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: the validated current function signature.

Write only CEngineClient_FindOrCreateWorldSession.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 FindOrCreateWorldSession AI skill do?

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

Why use Find CEngineClient FindOrCreateWorldSession on TypingMind?

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

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

Which AI models can use Find CEngineClient FindOrCreateWorldSession?

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 FindOrCreateWorldSession?

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

Is the Find CEngineClient FindOrCreateWorldSession 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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