run-vcall-finder

run-vcall-finder is a skill for Claude Code, Codex from HLND2T/CS2_VibeSignatures. It costs 51 tokens per session (594 once invoked), scanned A, original, MIT.

A workflow for finding virtual calls—places where a program may call an overridden function—for selected Counter-Strike 2 modules and symbols.

In plain words
What is it for?
Use it to run an ad hoc virtual-call search for exact symbols in selected CS2 modules, with an exact game version and optional platform settings.
Why use it?
It avoids searching the wrong binaries or silently expanding the analysis beyond the names and modules you chose. It also checks that the required game-version files and configuration are present.

Skill for Claude CodeCodex

Written for Claude Code and Codex: installed under .claude/, but also agents/openai.yaml present.

Good fit Use it to run an ad hoc virtual-call search for exact symbols in selected CS2 modules, with an exact game version and optional platform settings.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/hlnd2t/cs2_vibesignatures/run-vcall-finder
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 run-vcall-finder
Clone the repo
git clone --depth 1 https://github.com/HLND2T/CS2_VibeSignatures

Made for: Claude Code, Codex.

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 run-vcall-finder

README.md
[![agentmods](https://agentmods.dev/badge/skills/hlnd2t/cs2_vibesignatures/run-vcall-finder/github.svg)](https://agentmods.dev/skills/hlnd2t/cs2_vibesignatures/run-vcall-finder)
Your own site
<a href="https://agentmods.dev/skills/hlnd2t/cs2_vibesignatures/run-vcall-finder"><img src="https://agentmods.dev/badge/skills/hlnd2t/cs2_vibesignatures/run-vcall-finder/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.

agentmods 80×15 button for run-vcall-finder

Your own site · 80×15
<a href="https://agentmods.dev/skills/hlnd2t/cs2_vibesignatures/run-vcall-finder"><img src="https://agentmods.dev/badge/skills/hlnd2t/cs2_vibesignatures/run-vcall-finder.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 51 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 594 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 $0.00051 $0.00594
Opus 5.5 $0.00020 $0.00238
Sonnet 5.5 $0.00010 $0.00119
Haiku 4.5 $0.00005 $0.00059

Measured 2mo ago against content hash ac5e9a7607b3, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

run-vcall-finder 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/run-vcall-finder/SKILL.md · 54 lines

How it starts

The opening of the file, as written. The whole thing — 54 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Run VCall Finder

Run ida_analyze_bin.py with an explicit module list and symbol list. Never add vcall_finder entries to an analysis config, use *, or infer additional modules or symbols.

Resolve Inputs

  1. Require one or more exact module names and one or more exact symbol names from the user. Ask for missing or ambiguous values before running the workflow.
  2. Use the exact GAMEVER from the request. If omitted, read CS2VIBE_GAMEVER from .env; ask if it is absent or empty. Do not substitute another version.
  3. Use the requested platform list. If omitted, allow the analyzer default of windows,linux.
  4. Require configs/<GAMEVER>.yaml and the selected binaries under bin/<GAMEVER>. Do not modify the config or download missing binaries as part of this skill.

Run The Analysis

Run from the repository root. Join multiple modules and symbols with commas:

uv run ida_analyze_bin.py -gamever <GAMEVER> -configyaml configs/<GAMEVER>.yaml -modules <MODULES> -vcall_finder <SYMBOLS> -debug

Add -platform <PLATFORMS> only when the user specifies platforms. Forward user-requested -llm_model, -llm_baseurl, -llm_temperature, -llm_effort, or -llm_fake_as values. Prefer CS2VIBE_LLM_* environment variables for credentials and never print or persist API keys.

Do not add -skip_error unless the user explicitly requests best-effort processing. Do not silently retry with other modules, symbols, platforms, game versions, or cached detail files.

The analyzer applies every requested symbol to every requested module. Split the work into separate invocations when different symbols require different module scopes.

Report Results

Treat exit code 0 with Failed: 0 in the final summary as success. Report:

  • the exact game version, modules, symbols, and platforms;
  • the per-function detail root at vcall_finder/<GAMEVER>/<SYMBOL>/;
  • the aggregated output at vcall_finder/<GAMEVER>/<SYMBOL>.txt when produced.

If the command fails, report its exit code and relevant final error or summary lines inside:

Read the full file on GitHub · 54 lines

Files

What ships with it

1 file beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.

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 · 54 lines · 51 tokens per session scan A ac5e9a7607b3

Subscribe to this mod's changes

run-vcall-finder is a skill published in the GitHub repository HLND2T/CS2_VibeSignatures (67 stars, last pushed today), licensed MIT. It adds 51 tokens to every session and 594 once invoked, about $0.0002 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.

Related

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run-vcall-finder next to 6 skills from other repositories
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