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/dump-vtables/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/dump-vtables)<a href="https://agentmods.dev/skills/hlnd2t/cs2_vibesignatures/dump-vtables"><img src="https://agentmods.dev/badge/skills/hlnd2t/cs2_vibesignatures/dump-vtables.svg" alt="Measured on agentmods" 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 | $0.00084 | $0.01604 |
| Opus 5 | $0.00042 | $0.00802 |
| Sonnet 5 | $0.00017 | $0.00321 |
| Haiku 4.5 | $0.00008 | $0.00160 |
Grade A, and why
dump-vtables 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 yesterday.
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 — 173 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Dump VTables by Symbol Pattern
Search for vtable symbols matching a mangled name glob pattern via IDA Pro MCP, read all their entries, and write a merged YAML file beside the binary.
Prerequisites
- An IDA Pro MCP instance with the target binary loaded
Required Parameters
| Parameter | Description | Example |
|---|---|---|
symbol_pattern |
Mangled symbol glob pattern for vtables | ??_7C*System@@6B@ |
output_name |
Base name for the output YAML file (without extension) | IGameSystem_vtables |
Method
Step 1: Search for matching vtable symbols
Use mcp__ida-pro-mcp__entity_query with kind names and a glob filter to find all matching mangled vtable symbols:
mcp__ida-pro-mcp__entity_query queries={"kind": "names", "filter": "<symbol_pattern>", "count": 0}
This returns all matching symbol names, addresses, and segments.
Step 2: Read vtable entries and write merged YAML
Run a single mcp__ida-pro-mcp__py_eval script that:
- Iterates each discovered vtable address
- Reads consecutive qword pointers until hitting a non-code address or 0
- Gets
func.size()for each entry - Writes a merged YAML list to disk
mcp__ida-pro-mcp__py_eval code="""
import idaapi
import ida_bytes
import ida_name
import os
import yaml
# === REQUIRED: Replace these values ===
output_name = "<output_name>" # e.g., "IGameSystem_vtables"
# Populate from Step 1 results: list of (address, class_name, mangled_symbol)
vtables = [
# (0x181538bb8, "CCSGCServerSystem", "??_7CCSGCServerSystem@@6B@"),
# ...add all matches from entity_query results...
]
# ======================================
image_base = idaapi.get_imagebase()
ptr_size = 8 if idaapi.inf_is_64bit() else 4
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'
all_vtables = []
for vt_addr, vt_name, vt_symbol in vtables:
entries = []
for i in range(1000):
if ptr_size == 8:
ptr_value = ida_bytes.get_qword(vt_addr + i * ptr_size)
else:
ptr_value = ida_bytes.get_dword(vt_addr + 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
entries.append((ptr_value, func))
count = len(entries)
vtable_size = count * ptr_size
vt_rva = vt_addr - image_base
entries_dict = {}
for i, (ptr_value, func) in enumerate(entries):
func_size = func.size() if func else 0
entries_dict[i] = f"{hex(ptr_value)} size={hex(func_size)}"
yaml_data = {
'vtable_class': vt_name,
'vtable_symbol': vt_symbol,
'vtable_va': hex(vt_addr),
'vtable_rva': hex(vt_rva),
'vtable_size': hex(vtable_size),
'vtable_numvfunc': count,
'vtable_entries': entries_dict
}
all_vtables.append(yaml_data)
yaml_path = os.path.join(dir_path, f"{output_name}.{platform}.yaml")
with open(yaml_path, 'w', encoding='utf-8') as f:
yaml.dump(all_vtables, f, default_flow_style=False, sort_keys=False, allow_unicode=True)
print(f"Written {len(all_vtables)} vtables to {yaml_path}")
"""
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.
- yesterday Changed ad1cea85075a
- 8d ago First seen · 173 lines · 84 tokens per session scan A d210925a844a
dump-vtables is a skill published in the GitHub repository HLND2T/CS2_VibeSignatures (65 stars, last pushed today), licensed MIT. It adds 84 tokens to every session and 1,604 once invoked, about $0.0004 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.
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