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 find-cnetworkmessages_dtorgit 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/find-cnetworkmessages_dtor)<a href="https://agentmods.dev/skills/hlnd2t/cs2_vibesignatures/find-cnetworkmessages_dtor"><img src="https://agentmods.dev/badge/skills/hlnd2t/cs2_vibesignatures/find-cnetworkmessages_dtor/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/find-cnetworkmessages_dtor"><img src="https://agentmods.dev/badge/skills/hlnd2t/cs2_vibesignatures/find-cnetworkmessages_dtor.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 | $0.00076 | $0.01540 |
| Opus 5.5 | $0.00030 | $0.00616 |
| Sonnet 5.5 | $0.00015 | $0.00308 |
| Haiku 4.5 | $0.00008 | $0.00154 |
Grade A, and why
find-CNetworkMessages_dtor 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 — 157 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Find CNetworkMessages_dtor
Locate CNetworkMessages_dtor vfunc in CS2 networksystem.dll or libnetworksystem.so using IDA Pro MCP tools.
Deterministic Preprocessor
Normal analyzer runs use ida_preprocessor_scripts/find-CNetworkMessages_dtor.py. It selects the ABI-defined
destructor slot from CNetworkMessages_vtable.{platform}.yaml and regenerates func_sig with the shared
deterministic signature generator. This Agent skill is only the fallback when that preprocessor fails; the trusted
finalizer replaces any Agent-provided func_sig from func_va before accepting the output.
Method
1. Load CNetworkMessages VTable from YAML
ALWAYS Use SKILL /get-vtable-from-yaml with class_name=CNetworkMessages.
If the skill returns an error, STOP and report to user.
Otherwise, extract:
vtable_numvfuncvtable_entries
2. Identify Destructor Candidates
The destructor is located in the last three vtable entries. Check the entries at indices:
vtable_numvfunc - 3vtable_numvfunc - 2vtable_numvfunc - 1
Read the function addresses from the vtable entries for these three slots.
3. Decompile and Identify the Destructor
Decompile all three candidate functions:
mcp__ida-pro-mcp__decompile addr="<candidate_1_addr>"
mcp__ida-pro-mcp__decompile addr="<candidate_2_addr>"
mcp__ida-pro-mcp__decompile addr="<candidate_3_addr>"
Windows (networksystem.dll)
The destructor has this characteristic two-argument pattern:
__int64 __fastcall CNetworkMessages_dtor(__int64 a1, char a2)
{
CNetworkMessages_dtor2(a1);
if ( (a2 & 1) != 0 )
(*(void (__fastcall **)(_QWORD, __int64))(*g_pMemAlloc + 24LL))(g_pMemAlloc, a1);
return a1;
}
Key identification rules for Windows:
- Takes two parameters:
(__int64 a1, char a2)(this + flags) - Calls another large destructor function (
CNetworkMessages_dtor2) with justa1 - Conditionally frees memory via
g_pMemAllocif(a2 & 1) != 0 - Returns
a1
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 · +7 lines f8a6f081ec5d
- 2mo ago First seen · 150 lines · 76 tokens per session scan A 9a0109da748e
find-CNetworkMessages_dtor is a skill published in the GitHub repository HLND2T/CS2_VibeSignatures (67 stars, last pushed today), licensed MIT. It adds 76 tokens to every session and 1,540 once invoked, about $0.0003 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.
find-CNetworkMessages_dtor compared with skills from other repositories
| Mod | Type | Stars | Last push | Licence | Scan | Tokens | Works with |
|---|---|---|---|---|---|---|---|
| find-CNetworkMessages_dtorHLND2T/CS2_VibeSignatures | Skill | 67 | today | MIT | A | 76 | 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 |