Borrowing it
Nothing to install: this file belongs to HLND2T/CS2_VibeSignatures. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.
curl -O https://raw.githubusercontent.com/HLND2T/CS2_VibeSignatures/main/.claude/skills/generate-reference-yaml/SKILL.mdgit clone --depth 1 https://github.com/HLND2T/CS2_VibeSignaturesWrote 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.
[](https://agentmods.dev/skills/hlnd2t/cs2_vibesignatures/generate-reference-yaml)<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.
<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>- NVIDIA SkillSpector pass
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 | $0.00895 |
| Opus 5 | $0.00014 | $0.00447 |
| Sonnet 5 | $0.00006 | $0.00179 |
| Haiku 4.5 | $0.00003 | $0.00089 |
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 9d 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.
How it starts
The opening of the file, as written. The whole thing — 73 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_namegamever(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
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:
uv run generate_reference_yaml.py -gamever 14141 -module engine -platform windows -func_name CNetworkGameClient_RecordEntityBandwidth -output_filename CNetworkGameClient_RecordEntityBandwidthReference.windows.yaml -mcp_host 127.0.0.1 -mcp_port 13337
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.
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.
- 9d ago First seen · 73 lines · 28 tokens per session scan A 7ecaa50914f1
generate-reference-yaml is a skill published in the GitHub repository HLND2T/CS2_VibeSignatures (65 stars, last pushed today), licensed MIT. It adds 28 tokens to every session and 895 once invoked, about $0.0001 per session on Opus 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.
Other skills, from other repositories
systematic-debugging
Use when encountering any bug, test failure, or unexpected behavior, before proposing fixes.
local-ai-agents
Build local-first AI agents that run entirely on a developer workstation with Microsoft Foundry Local and Qwen function-calling models. Covers Small Language Models (SLMs), the OpenAI-compatible local endpoint, sandboxed local tools, local RAG with Chroma, local MCP servers, hybrid cloud/local routing, and the…
next-cache-components-adoption
Turn on Cache Components in a Next.js app and resolve the blocking routes it surfaces. Use when the user wants to enable, adopt, or migrate to Cache Components, flip the cacheComponents flag, work through a flood of blocking-prerender / instant validation errors, run the cache-components-instant-false codemod, or…
next-cache-components-optimizer
Drive a Next.js route to instant navigation by setting up an agentic loop, under Cache Components / PPR, on initial load (hard navigation) and client-side navigation (soft navigation). Encode the goal as a failing @next/playwright instant() e2e and work it to green, one verified route at a time; the shipped test then…
next-partial-prefetching-adoption
Turn on Partial Prefetching in a Next.js app and work through the insights it surfaces. Use when the user wants to enable or adopt Partial Prefetching, flip the partialPrefetching flag, opt routes in with export const prefetch = 'partial', audit Link prefetch={true} behavior, preserve existing prefetched UI with…
chronicle
Analyze Copilot session history for standup reports, usage tips, session search, and session reindexing. Use when the user asks for a standup, daily summary, usage tips, workflow recommendations, wants to search or find past sessions by keyword/file/PR, wants to reindex their session store, or asks about deleting…