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 mercuryPark/oc-setup --skill socket-iogit clone --depth 1 https://github.com/mercuryPark/oc-setupWrote 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/mercurypark/oc-setup/socket-io)<a href="https://agentmods.dev/skills/mercurypark/oc-setup/socket-io"><img src="https://agentmods.dev/badge/skills/mercurypark/oc-setup/socket-io/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/mercurypark/oc-setup/socket-io"><img src="https://agentmods.dev/badge/skills/mercurypark/oc-setup/socket-io.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 | $0.00033 | $0.00306 |
| Opus 5.5 | $0.00013 | $0.00122 |
| Sonnet 5.5 | $0.00007 | $0.00061 |
| Haiku 4.5 | $0.00003 | $0.00031 |
Grade A, and why
socket-io 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.
What it actually says
Socket.io Development Guide
Connection Management
Client Connection
- Always implement reconnection strategy
- Handle connection errors gracefully
- Use namespaces for feature separation
Server Setup
const io = new Server(server, {
cors: { origin: process.env.CLIENT_URL },
pingTimeout: 60000,
pingInterval: 25000
})
Event Patterns
Naming Convention
- Use
snake_casefor event names - Prefix:
user_,system_,room_ - Example:
user_message_sent,system_notification
Acknowledgment Pattern
// Client
socket.emit('send_message', data, (ack) => {
if (ack.error) handleError(ack.error)
})
// Server
socket.on('send_message', async (data, callback) => {
try {
await saveMessage(data)
callback({ success: true })
} catch (err) {
callback({ error: err.message })
}
})
Error Handling
- Implement connection state recovery
- Handle middleware errors
- Log socket errors for debugging
- Graceful degradation on connection loss
Scaling
- Use Redis Adapter for multi-server setups
- Implement sticky sessions
- Consider horizontal scaling early
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 First seen · 61 lines · 33 tokens per session scan A 11a7562bee8a
socket-io is a skill published in the GitHub repository mercuryPark/oc-setup (2 stars, last pushed 6mo ago), licensed MIT. It adds 33 tokens to every session and 306 once invoked, about $0.0001 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 2026-08-31.
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