What is generate-reference-yaml?

A project-CLI workflow that creates reference YAML files from a named function in a compiled program. It uses IDA Pro connection details or starts analysis with a binary file.

Use it to create YAML references for a function, game version, module, and platform in a reverse-engineering project.

It provides one consistent way to generate these reference files without calling IDA directly from the skill.

generate-reference-yaml — Skill for Claude Code and Codex by HLND2T

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 generate-reference-yaml

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.

README.md

[![agentmods](https://agentmods.dev/badge/skills/hlnd2t/cs2_vibesignatures/generate-reference-yaml/github.svg)](https://agentmods.dev/skills/hlnd2t/cs2_vibesignatures/generate-reference-yaml)

Your own site

<a href="https://agentmods.dev/skills/hlnd2t/cs2_vibesignatures/generate-reference-yaml"><img src="https://agentmods.dev/badge/skills/hlnd2t/cs2_vibesignatures/generate-reference-yaml/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.

Your own site · 80×15

<a href="https://agentmods.dev/skills/hlnd2t/cs2_vibesignatures/generate-reference-yaml"><img src="https://agentmods.dev/badge/skills/hlnd2t/cs2_vibesignatures/generate-reference-yaml.svg" alt="Reviewed on agentmods" width="80" height="20"></a>

Per session 28 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.

When invoked 990 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.

Model	Per session	Once invoked
Fable 5.1	$0.00028	$0.00990
Opus 5.5	$0.00011	$0.00396
Sonnet 5.5	$0.00006	$0.00198
Haiku 4.5	$0.00003	$0.00099

Measured 1mo ago against content hash 51628b1d9189, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

generate-reference-yaml 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 1mo 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/generate-reference-yaml/SKILL.md · 75 lines

How it starts

The opening of the file, as written. The whole thing — 75 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Generate Reference YAML

Use this skill as the unified backend entrypoint through project CLI.

Do not call IDA API directly in this skill. Always run generate_reference_yaml.py.

Required parameters

func_name
gamever (Obtain from dll path via ida-pro-mcp if not specified)
module (Obtain from dll path via ida-pro-mcp if not specified)
platform (Obtain from dll path via ida-pro-mcp if not specified)

Command examples

Before choosing a mode, bind the session with the shared bootstrap order: idb_list → idb_open → script fallback only when the MCP endpoint (default 127.0.0.1:13337) is unreachable. Do not call open_file. After any IDB mutation, idb_close(save=True). See mcp-ida-session.md.

1) Attach to existing MCP (should be used when there is an existing ida-pro-mcp connection)

uv run generate_reference_yaml.py -gamever 14141 -module engine -platform windows -func_name CNetworkGameClient_RecordEntityBandwidth -mcp_host 127.0.0.1 -mcp_port 13337

2) Auto-start `idalib-mcp` with binary (fallback when no MCP is attached)

# Windows -- always pass -platform windows explicitly
uv run generate_reference_yaml.py -func_name {FUNC_NAME} -auto_start_mcp -binary "bin/{gamever}/{module}/{binary_name}.dll" -platform windows -debug

# Linux -- always pass -platform linux explicitly
uv run generate_reference_yaml.py -func_name {FUNC_NAME} -auto_start_mcp -binary "bin/{gamever}/{module}/lib{module}.so" -platform linux -debug

where {gamever} can be obtained from .env -> CS2VIBE_GAMEVER.

IMPORTANT -- Always pass -platform explicitly. While -platform can theoretically be inferred from the binary extension (.dll -> windows, .so -> linux), auto-inference is unreliable and may produce the wrong platform's reference YAML. Always pass -platform windows or -platform linux explicitly.

3) Custom output name

Use -output_filename when the reference YAML file name should differ from the default <func_name>.<platform>.yaml:

Read the full file on GitHub · 75 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.

agents/openai.yaml 43 B

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.

1mo ago Changed · +2 lines 51628b1d9189
2mo ago First seen · 73 lines · 28 tokens per session scan A 7ecaa50914f1

Subscribe to this mod's changes

generate-reference-yaml is a skill published in the GitHub repository HLND2T/CS2_VibeSignatures (67 stars, last pushed today), licensed MIT. It adds 28 tokens to every session and 990 once invoked, about $0.0001 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.

generate-reference-yaml next to 6 skills from other repositories
Mod	Type	Stars	Last push	Licence	Scan	Tokens	Works with
generate-reference-yamlHLND2T/CS2_VibeSignatures	Skill	67	today	MIT	A	28	Claude Code, Codex
imagegenopenai/codex	Skill	133k	yesterday	Apache-2.0	A	113	Codex
playwright-climicrosoft/playwright	Skill	99k	yesterday	Apache-2.0	A	19	Claude Code
local-ai-agentsmicrosoft/ai-agents-for-beginners	Skill	79k	4d ago	MIT	A	200	Claude Code, Codex
systematic-debuggingobra/superpowers	Skill	313k	3d ago	MIT	A	21	Claude Code
next-cache-components-adoptionvercel/next.js	Skill	143k	today	MIT	A	95	Claude Code
next-partial-prefetching-adoptionvercel/next.js	Skill	143k	today	MIT	A	103	Claude Code