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.
npx skills add HLND2T/CS2_VibeSignatures --skill get-func-from-yamlgit 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/get-func-from-yaml)<a href="https://agentmods.dev/skills/hlnd2t/cs2_vibesignatures/get-func-from-yaml"><img src="https://agentmods.dev/badge/skills/hlnd2t/cs2_vibesignatures/get-func-from-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/get-func-from-yaml"><img src="https://agentmods.dev/badge/skills/hlnd2t/cs2_vibesignatures/get-func-from-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 | $0.00054 | $0.00975 |
| Opus 5.5 | $0.00022 | $0.00390 |
| Sonnet 5.5 | $0.00011 | $0.00195 |
| Haiku 4.5 | $0.00005 | $0.00097 |
Grade A, and why
get-func-from-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 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.
How it starts
The opening of the file, as written. The whole thing — 101 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Get Function from YAML
Load function information from a pre-generated {func_name}.{platform}.yaml file beside the binary.
Parameters
func_name: The function name to look up (e.g.,CBaseModelEntity_SetModel,CCSPlayerController_ChangeTeam,CEntityInstance_AcceptInput)
Method
1. Check and Load Function YAML
Run the following code with the appropriate func_name:
mcp__ida-pro-mcp__py_eval code="""
import idaapi
import os
func_name = "<FUNC_NAME>" # Replace with actual function name
input_file = idaapi.get_input_file_path()
dir_path = os.environ.get('CS2VIBE_ARTIFACT_DIR') or os.path.dirname(input_file)
platform = 'windows' if input_file.endswith('.dll') else 'linux'
yaml_path = os.path.join(dir_path, f"{func_name}.{platform}.yaml")
if os.path.exists(yaml_path):
with open(yaml_path, 'r', encoding='utf-8') as f:
print(f.read())
print("FUNC_YAML_EXISTS: True")
else:
print(f"ERROR: Required file {func_name}.{platform}.yaml not found.")
"""
2. Handle Result
If YAML exists (FUNC_YAML_EXISTS: True), extract available values from the output:
func_name: Function name (if present)func_va: Function virtual address (if present)func_rva: Function relative virtual address (if present)func_size: Function size in bytes (if present)func_sig: Function signature bytes (if present)vtable_name: Related vtable class name (optional, virtual-function YAML only)vfunc_offset: Offset from vtable start (optional, virtual-function YAML only)vfunc_index: Index in vtable (optional, virtual-function YAML only)
Example YAML content:
func_name: CCSPlayerController_Respawn
func_va: 0x180A8CA10
func_rva: 0xA8CA10
func_size: 0x3F
func_sig: 41 B8 80 00 00 00 48 8D 99 10 05 00 00
vtable_name: CCSPlayerController
vfunc_offset: 0x330
vfunc_index: 102
If some fields are missing, use only the fields that exist in YAML and do not fabricate values.
If YAML does NOT exist, ERROR OUT and report to user:
ERROR: Required file {func_name}.{platform}.yaml not found.
Please run `/write-func-as-yaml` with func_name={func_name} first.
For virtual functions, `/write-vfunc-as-yaml` is also acceptable.
Do NOT proceed with any remaining steps in the calling skill.
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.
- 2mo ago Changed 1c0cf04dd747
- 2mo ago First seen · 101 lines · 54 tokens per session scan A a184c7863348
get-func-from-yaml is a skill published in the GitHub repository HLND2T/CS2_VibeSignatures (67 stars, last pushed today), licensed MIT. It adds 54 tokens to every session and 975 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.
get-func-from-yaml compared with skills from other repositories
| Mod | Type | Stars | Last push | Licence | Scan | Tokens | Works with |
|---|---|---|---|---|---|---|---|
| get-func-from-yamlHLND2T/CS2_VibeSignatures | Skill | 67 | today | MIT | A | 54 | Claude Code |
| 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 |