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-vtable-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-vtable-as-yaml)<a href="https://agentmods.dev/skills/hlnd2t/cs2_vibesignatures/write-vtable-as-yaml"><img src="https://agentmods.dev/badge/skills/hlnd2t/cs2_vibesignatures/write-vtable-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-vtable-as-yaml"><img src="https://agentmods.dev/badge/skills/hlnd2t/cs2_vibesignatures/write-vtable-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 | $0.00042 | $0.01801 |
| Opus 5.5 | $0.00017 | $0.00720 |
| Sonnet 5.5 | $0.00008 | $0.00360 |
| Haiku 4.5 | $0.00004 | $0.00180 |
Grade A, and why
write-vtable-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 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.
How it starts
The opening of the file, as written. The whole thing — 175 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Write VTable as YAML
Persist vtable analysis results to a YAML file beside the binary using IDA Pro MCP.
Prerequisites
Before using this skill, you should have:
- Located the target vtable address
- Identified the class name for the vtable
- 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 |
|---|---|---|
vtable_class |
Class name for the vtable | CSource2Server |
vtable_va |
Virtual address of the vtable | 0x182B8D9D8 |
Optional Parameters
| Parameter | Description | Example |
|---|---|---|
vtable_symbol |
The IDA symbol name for the vtable | "??_7CBaseEntity@@6B@" |
Method
mcp__ida-pro-mcp__py_eval code="""
import idaapi
import ida_bytes
import ida_name
import os
import yaml
# === REQUIRED: Replace these values ===
vtable_class = "<vtable_class>" # e.g., "CBaseEntity"
vtable_va = <vtable_va> # e.g., 0x182B8D9D8
# ======================================
# === OPTIONAL: Replace these values ===
vtable_symbol = "<vtable_symbol>" # e.g., "??_7CBaseEntity@@6B@" or "_ZTV11CBaseEntity + 0x10" or "off_180XXXXXX"
# ======================================
input_file = idaapi.get_input_file_path()
dir_path = os.environ.get('CS2VIBE_ARTIFACT_DIR') or os.path.dirname(input_file)
if input_file.endswith('.dll'):
platform = 'windows'
image_base = idaapi.get_imagebase()
else:
platform = 'linux'
image_base = 0x0
vtable_rva = vtable_va - image_base
# Handle Linux vtables (skip RTTI metadata)
vtable_name = ida_name.get_name(vtable_va) or ""
if vtable_name.startswith("_ZTV"):
vtable_va = vtable_va + 0x10
vtable_rva = vtable_va - image_base
# Determine pointer size and count virtual functions
ptr_size = 8 if idaapi.inf_is_64bit() else 4
vtable_entries = []
for i in range(1000):
if ptr_size == 8:
ptr_value = ida_bytes.get_qword(vtable_va + i * ptr_size)
else:
ptr_value = ida_bytes.get_dword(vtable_va + i * ptr_size)
if ptr_value == 0 or ptr_value == 0xFFFFFFFFFFFFFFFF:
break
func = idaapi.get_func(ptr_value)
if func is None:
flags = ida_bytes.get_full_flags(ptr_value)
if not ida_bytes.is_code(flags):
break
vtable_entries.append(ptr_value)
count = len(vtable_entries)
vtable_size = count * ptr_size
# Build YAML data structure
yaml_data = {
'vtable_class': vtable_class,
'vtable_symbol': vtable_symbol,
'vtable_va': hex(vtable_va),
'vtable_rva': hex(vtable_rva),
'vtable_size': hex(vtable_size),
'vtable_numvfunc': count,
'vtable_entries': {i: hex(entry) for i, entry in enumerate(vtable_entries)}
}
yaml_path = os.path.join(dir_path, f"{vtable_class}_vtable.{platform}.yaml")
with open(yaml_path, 'w', encoding='utf-8') as f:
yaml.dump(yaml_data, f, default_flow_style=False, sort_keys=False, allow_unicode=True)
print(f"Written to: {yaml_path}")
"""
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 · +1 lines d586a46775e8
- 2mo ago Changed · +4 lines ba7c10a027df
- 2mo ago First seen · 170 lines · 42 tokens per session scan A 5edd9e856882
write-vtable-as-yaml is a skill published in the GitHub repository HLND2T/CS2_VibeSignatures (67 stars, last pushed today), licensed MIT. It adds 42 tokens to every session and 1,801 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-vtable-as-yaml compared with skills from other repositories
| Mod | Type | Stars | Last push | Licence | Scan | Tokens | Works with |
|---|---|---|---|---|---|---|---|
| write-vtable-as-yamlHLND2T/CS2_VibeSignatures | Skill | 67 | today | MIT | A | 42 | 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 |