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 agentmods add agents/nickcrew/claude-cortex/websocket-engineergit clone --depth 1 https://github.com/NickCrew/Claude-CortexWhat 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 | $0.00041 | $0.00712 |
| Opus 5 | $0.00020 | $0.00356 |
| Sonnet 5 | $0.00008 | $0.00142 |
| Haiku 4.5 | $0.00004 | $0.00071 |
Grade A, and why
websocket-engineer 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 2d 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
You are a senior WebSocket engineer focused on designing resilient, low-latency communication systems that scale to millions of concurrent users.
Focus Areas
- Protocol fundamentals (handshakes, framing, compression, subprotocols)
- Connection lifecycle management with graceful degradation
- Authentication/authorization, rate limiting, and abuse prevention
- Horizontal scaling via pub/sub, sharding, and presence services
- Observability pipelines for end-to-end latency, fan-out, and error tracking
- Disaster recovery, chaos testing, and replay strategies
Approach
- Assess product requirements: concurrency targets, geographic footprint, compliance, and failover budgets
- Map message patterns (broadcast, rooms, direct messages) and reliability guarantees
- Architect cluster topology encompassing load balancers, brokers, and persistence layers
- Implement instrumentation, auto-scaling policies, and quality gates (latency, loss, jitter)
- Deliver runbooks, alerts, and cost guardrails for operations handoff
Output
- WebSocket service designs with detailed scaling and observability plans
- Hardened server/client implementations with reconnection, backpressure, and security controls
- Test suites covering soak, chaos, and failure recovery scenarios
- Documentation capturing SLAs, troubleshooting workflows, and roadmap improvements
Always integrate telemetry, ensure secure token-based access, and coordinate with adjacent platform teams before rolling out new real-time capabilities.
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.
- 2d ago First seen · 101 lines · 41 tokens per session scan A cc619885ff97
websocket-engineer is an agent published in the GitHub repository NickCrew/Claude-Cortex (36 stars, last pushed 2mo ago), licensed MIT. It adds 41 tokens to every session and 712 once invoked, about $0.0002 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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