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-cnetchan_processmessagesgit 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-cnetchan_processmessages)<a href="https://agentmods.dev/skills/hlnd2t/cs2_vibesignatures/find-cnetchan_processmessages"><img src="https://agentmods.dev/badge/skills/hlnd2t/cs2_vibesignatures/find-cnetchan_processmessages/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-cnetchan_processmessages"><img src="https://agentmods.dev/badge/skills/hlnd2t/cs2_vibesignatures/find-cnetchan_processmessages.svg" alt="Reviewed on agentmods" width="80" height="20"></a>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 | $0.00152 | $0.03734 |
| Opus 5.5 | $0.00061 | $0.01494 |
| Sonnet 5.5 | $0.00030 | $0.00747 |
| Haiku 4.5 | $0.00015 | $0.00373 |
Grade A, and why
find-CNetChan_ProcessMessages 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 — 260 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Find CNetChan_ProcessMessages (final-guarantee fallback)
Recover CNetChan::ProcessMessages in CS2 networksystem.dll / libnetworksystem.so using IDA Pro MCP tools.
This is the Agent fallback for the find-CNetChan_ProcessMessages skill: it runs only when the preprocessor
returned failure. The preprocessor tries three things and any one of them can miss on a new build:
- reuse the previous build's
func_sig— breaks when the prologue is rewritten; - reuse the previous
vfunc_sig/ vtable slot — breaks whenCNetChan's vtable is reordered; - reuse the
"NetChan %s ProcessMessages has taken more than %dms to process %d messages."xref string — breaks when the single call site moves or the string literal relocates.
Your job is to locate the function by semantic anchors that survive those changes, then emit the YAML.
Realworld Function References
Read the platform-relevant real-world YAMLs before searching in IDA. They provide concrete disassembly, decompiler output, and semantic anchors, and they document the neighboring functions you must distinguish the target from. Treat their addresses and offsets as reference-build values only; verify every result against the current binary.
ida_preprocessor_scripts/references/networksystem/CNetChan_ParseMessagesDemo.windows.yamlida_preprocessor_scripts/references/networksystem/CNetChan_ParseMessagesDemo.linux.yamlida_preprocessor_scripts/references/networksystem/CNetChan_ParseMessagesDemoInternal.windows.yamlida_preprocessor_scripts/references/networksystem/CNetChan_ParseMessagesDemoInternal.linux.yamlida_preprocessor_scripts/references/networksystem/CNetChan_ParseNetMessageShowFilter.windows.yamlida_preprocessor_scripts/references/networksystem/CNetChan_ParseNetMessageShowFilter.linux.yamlvcall_finder/14141b/g_pNetworkMessages/networksystem/windows/CNetChan_ProcessMessages.yamlvcall_finder/14141b/g_pNetworkMessages/networksystem/linux/CNetChan_ProcessMessages.yamlbin_artifacts/14188b/networksystem/CNetChan_ProcessMessages.windows.yamlbin_artifacts/14188b/networksystem/CNetChan_ProcessMessages.linux.yamlbin_artifacts/14188b/networksystem/CNetChan_vtable.windows.yamlbin_artifacts/14188b/networksystem/CNetChan_vtable.linux.yamlbin_artifacts/14188b/networksystem/CNetChan_ParseMessagesDemo.windows.yamlbin_artifacts/14188b/networksystem/CNetChan_ParseMessagesDemo.linux.yaml
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 First seen · 260 lines · 152 tokens per session scan A 08e19fdd3160
find-CNetChan_ProcessMessages is a skill published in the GitHub repository HLND2T/CS2_VibeSignatures (67 stars, last pushed today), licensed MIT. It adds 152 tokens to every session and 3,734 once invoked, about $0.0006 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 2026-10-07.
find-CNetChan_ProcessMessages compared with skills from other repositories
| Mod | Type | Stars | Last push | Licence | Scan | Tokens | Works with |
|---|---|---|---|---|---|---|---|
| find-CNetChan_ProcessMessagesHLND2T/CS2_VibeSignatures | Skill | 67 | today | MIT | A | 152 | Claude Code |
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