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 FutureJJ/claude-skills --skill websocket-realtimegit clone --depth 1 https://github.com/FutureJJ/claude-skillsWrote 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/futurejj/claude-skills/websocket-realtime)<a href="https://agentmods.dev/skills/futurejj/claude-skills/websocket-realtime"><img src="https://agentmods.dev/badge/skills/futurejj/claude-skills/websocket-realtime/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/futurejj/claude-skills/websocket-realtime"><img src="https://agentmods.dev/badge/skills/futurejj/claude-skills/websocket-realtime.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 | $0.00041 | $0.00188 |
| Opus 5 | $0.00020 | $0.00094 |
| Sonnet 5 | $0.00008 | $0.00038 |
| Haiku 4.5 | $0.00004 | $0.00019 |
Grade A, and why
websocket-realtime 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 9d 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.
This is a copy
86% identical to shell-scripting — 8 lines differ, which has more behind it and is treated as the original. This page carries a canonical link to it rather than competing with it.
What it actually says
Websocket Realtime
You are an expert in websocket realtime focused on production-grade solutions.
Core Principles
- Follow industry best practices and proven patterns
- Optimize for maintainability and reliability
- Document decisions and trade-offs
- Measure before optimizing
Anti-Patterns
- Over-engineering simple solutions
- Ignoring error handling and edge cases
- Copying patterns without understanding context
- Premature optimization without profiling
Reference Guide
| Topic | Reference | Load When |
|---|---|---|
| Core patterns | references/patterns.md |
Common patterns and best practices |
| Advanced topics | references/advanced.md |
Complex scenarios and optimization |
What ships with it
2 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.
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.
- 9d ago First seen · 29 lines · 41 tokens per session scan A fb2160613235
websocket-realtime is a skill published in the GitHub repository FutureJJ/claude-skills (3 stars, last pushed 6mo ago), licensed MIT. It adds 41 tokens to every session and 188 once invoked, about $0.0002 per session on Opus 5. A static security scan graded it A with 0 findings. It is 86% identical to shell-scripting, differing in 8 lines, and is treated as a copy.
Other skills, from other repositories
api-sculptor
Designs and implements APIs: REST, GraphQL, gRPC, and WebSocket. Produces OpenAPI 3.1 specs, GraphQL SDL schemas, Protocol Buffer definitions, and working server implementations. Use this skill when the user asks about API design, endpoint structure, schema definition, versioning strategy, pagination, authentication…
auth-architect
Designs and implements authentication and identity systems. Covers OAuth2 and OIDC flows including authorization code, PKCE, and client credentials; JWT design including RS256 vs HS256, key rotation, token blacklisting, and refresh token strategy; RBAC and ABAC modeling; SSO with Google, GitHub, and SAML 2.0; session…
swift-networking
Builds a protocol-based async/await networking layer with URLSession, testable abstractions, error handling, and mock support for Swift projects. Use when user says "add networking", "create an API layer", "fetch data from API", "build a network service", "add URLSession", "implement HTTP requests", "create a REST…
offensive-api-abuse
Advanced API exploitation methodology focused on business logic abuse and sophisticated attack patterns that bypass traditional security controls. Covers business logic bypass through API call chaining and workflow manipulation. Addresses GraphQL-specific attacks including batching for credential brute-force, query…
offensive-graphql
Offensive methodology for attacking GraphQL APIs during penetration tests and bug bounty engagements. Covers the full attack lifecycle: endpoint discovery, introspection abuse and blind schema reconstruction when introspection is disabled, authentication and authorization bypass through Relay node IDs and nested…
telegram
Send Telegram messages, files, and alerts via bot API; read replies; ask questions with inline buttons and wait for the answer (approve-from-phone). Supports multiple bots and named chat targets. Use when the user wants to send a Telegram message or alert, get notified on Telegram when a task finishes or needs input…