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_sendmessages-inlinedgit 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_sendmessages-inlined)<a href="https://agentmods.dev/skills/hlnd2t/cs2_vibesignatures/find-cnetchan_sendmessages-inlined"><img src="https://agentmods.dev/badge/skills/hlnd2t/cs2_vibesignatures/find-cnetchan_sendmessages-inlined/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_sendmessages-inlined"><img src="https://agentmods.dev/badge/skills/hlnd2t/cs2_vibesignatures/find-cnetchan_sendmessages-inlined.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 | $0.00146 | $0.03530 |
| Opus 5.5 | $0.00058 | $0.01412 |
| Sonnet 5.5 | $0.00029 | $0.00706 |
| Haiku 4.5 | $0.00015 | $0.00353 |
Grade A, and why
find-CNetChan_SendMessages-inlined 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 — 254 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Find CNetChan_SendMessages (final-guarantee fallback)
Recover CNetChan::SendMessages in CS2 networksystem.dll / libnetworksystem.so using IDA Pro MCP tools.
This is the Agent fallback for the find-CNetChan_SendMessages-inlined skill. It runs only when the
preprocessor returned failure. The preprocessor's inlined path locates the target by the xref string
"SendMessage reliable failed AllocateMessage (%d).", which actually lives inside the shared helper
CNetChan_SendMessages_Internal — so that anchor identifies the helper's callers, two of which exist
(CNetChan::SendMessages and CNetChan::Transmit). When the sibling -noinline path cannot disambiguate them,
this fallback is what resolves the real target.
Realworld Function References
Read the platform-relevant real-world YAMLs before searching in IDA. They provide concrete disassembly and
semantic anchors for the neighbouring CNetChan vfuncs and document the decoy. 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.yamlbin_artifacts/14191/networksystem/CNetChan_SendMessages.windows.yamlbin_artifacts/14191/networksystem/CNetChan_SendMessages.linux.yamlbin_artifacts/14191/networksystem/CNetChan_SendMessages_Internal.windows.yamlbin_artifacts/14191/networksystem/CNetChan_SendMessages_Internal.linux.yamlbin_artifacts/14191/networksystem/CNetChan_Transmit.windows.yamlbin_artifacts/14191/networksystem/CNetChan_Transmit.linux.yamlbin_artifacts/14191/networksystem/CNetChan_vtable.windows.yamlbin_artifacts/14191/networksystem/CNetChan_vtable.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.
- 15d ago Changed · +2 lines b18b798d4d0c
- 21d ago First seen · 252 lines · 146 tokens per session scan A eb19f3c3e174
find-CNetChan_SendMessages-inlined is a skill published in the GitHub repository HLND2T/CS2_VibeSignatures (67 stars, last pushed today), licensed MIT. It adds 146 tokens to every session and 3,530 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 2026-10-17.
find-CNetChan_SendMessages-inlined compared with skills from other repositories
| Mod | Type | Stars | Last push | Licence | Scan | Tokens | Works with |
|---|---|---|---|---|---|---|---|
| find-CNetChan_SendMessages-inlinedHLND2T/CS2_VibeSignatures | Skill | 67 | today | MIT | A | 146 | Claude Code |
| systematic-debuggingopen-metadata/OpenMetadata | Skill | 16k | yesterday | Apache-2.0 | A | 37 | Claude Code |
| log-error-digestzebbern/claude-code-guide | Skill | 4.7k | 3d ago | MIT | A | 71 | Claude Code, Codex |
| cwv-optimizeradobe/skills | Skill | 319 | yesterday | Apache-2.0 | A | 112 | Claude Code |
| ci-fixersipyourdrink-ltd/bernstein | Skill | 1.2k | yesterday | Apache-2.0 | A | 15 | Claude Code, Codex |
| incident-response-incident-responsermyndharis/antigravity-skills | Skill | 1.9k | 23d ago | MIT | A | 36 | Claude Code |
| triaging-web-analytics-supportPostHog/posthog | Skill | 41k | yesterday | none | A | 151 | Claude Code, Codex |