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 write-vfunc-as-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/write-vfunc-as-yaml)<a href="https://agentmods.dev/skills/hlnd2t/cs2_vibesignatures/write-vfunc-as-yaml"><img src="https://agentmods.dev/badge/skills/hlnd2t/cs2_vibesignatures/write-vfunc-as-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/write-vfunc-as-yaml"><img src="https://agentmods.dev/badge/skills/hlnd2t/cs2_vibesignatures/write-vfunc-as-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 | $0.00050 | $0.02226 |
| Opus 5.5 | $0.00020 | $0.00890 |
| Sonnet 5.5 | $0.00010 | $0.00445 |
| Haiku 4.5 | $0.00005 | $0.00223 |
Grade A, and why
write-vfunc-as-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 15d 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 — 184 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Write Virtual Function IDA Analysis Output as YAML
Persist virtual function analysis results to a YAML file beside the binary using IDA Pro MCP.
Prerequisites
Before using this skill, you should have:
- Identified and renamed the target virtual function
- Generated a unique signature using
/generate-signature-for-function - Obtained vtable information using
/get-vtable-index - An IDA Pro MCP session, resolved per mcp-ida-session.md:
idb_list→idb_open(script fallback only if the endpoint is unreachable). Honor its IDB save discipline — an idle-TTL self-exit does not save.
Required Parameters
| Parameter | Description | Example |
|---|---|---|
func_name |
Name of the function | CCSPlayerController_ChangeTeam |
vtable_name |
Class name for vtable | CCSPlayerController |
vfunc_offset |
Offset from vtable start | 0x330 |
vfunc_index |
Index in vtable | 102 |
Optional Parameters
| Parameter | Description | Example |
|---|---|---|
func_addr |
Virtual address of the function (use None to omit) |
0x180999830 |
artifact_name |
Stable filename stem from the caller's expected output; defaults to func_name. This may be a legacy key with a corrected semantic name. |
INetworkServerService_GetServerSerializersCRC |
func_sig |
Unique byte signature to locate function body (use None to omit) |
48 89 5C 24 08 |
vfunc_sig |
Unique byte signature to determine vfunc offset (use None to omit) |
FF 90 80 04 00 00 4C 8B AC 24 ?? ?? ?? ?? |
vfunc_sig_disp |
Byte displacement from signature start to the target instruction. 0 or None means signature starts at the target instruction. Non-zero means backward expansion was used by /generate-signature-for-vfuncoffset. (use None to omit) |
3 |
When func_addr is None, the following fields will be omitted from output: func_va, func_rva, func_size.
When func_sig is None, the func_sig field will be omitted from output.
When vfunc_sig is None, the vfunc_sig field will be omitted from output.
When vfunc_sig_disp is None or 0, the vfunc_sig_disp field will be omitted from output.
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.
- 15d ago Changed · +6 lines 58e2000433c3
- 1mo ago Changed · +1 lines 366a9320c445
- 2mo ago Changed · +4 lines 8424f6940641
- 2mo ago First seen · 173 lines · 50 tokens per session scan A e29b39e7f23e
write-vfunc-as-yaml is a skill published in the GitHub repository HLND2T/CS2_VibeSignatures (67 stars, last pushed today), licensed MIT. It adds 50 tokens to every session and 2,226 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.
write-vfunc-as-yaml compared with skills from other repositories
| Mod | Type | Stars | Last push | Licence | Scan | Tokens | Works with |
|---|---|---|---|---|---|---|---|
| write-vfunc-as-yamlHLND2T/CS2_VibeSignatures | Skill | 67 | today | MIT | A | 50 | 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 |