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/homenshum/nodebenchai/streaming_optimizationgit clone --depth 1 https://github.com/HomenShum/NodeBenchAIWhat 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 | $0.00000 | $0.01685 |
| Opus 5 | $0.00000 | $0.00843 |
| Sonnet 5 | $0.00000 | $0.00337 |
| Haiku 4.5 | $0.00000 | $0.00169 |
Grade A, and why
STREAMING_OPTIMIZATION 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.
How it starts
The opening of the file, as written. The whole thing — 242 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Streaming UI Optimization Guide
Overview
This document describes the streaming UI optimization patterns implemented in FastAgentPanel to ensure smooth, animated streaming with per-step updates at 30-60fps without layout thrashing.
Architecture
1. Frame-Aligned Streaming Buffer (useStreamingBuffer)
Purpose: Accumulate streaming updates and flush them on animation frames to prevent excessive re-renders.
How it works:
- Collects tokens, tool steps, and status updates in a ring buffer
- Flushes updates on
requestAnimationFrameor at configurable intervals (default: 33ms ≈ 30fps) - Automatically flushes when buffer exceeds max size (default: 50 updates)
- Prevents UI blocking by batching updates
Usage:
const { addUpdate, flush, start, stop, isActive, bufferSize } = useStreamingBuffer(
(updates) => {
// Apply batched updates to state
setMessages(applyUpdates(messages, updates));
},
{ maxBufferSize: 50, flushIntervalMs: 33, enableLogging: false }
);
// Start streaming
start();
// Add updates as they arrive
addUpdate({ type: 'token', data: 'hello', timestamp: Date.now() });
// Stop and flush remaining
stop();
2. Smart Auto-Scroll (useSmartAutoScroll)
Purpose: Intelligent auto-scroll that respects user scroll position and prevents scroll fighting.
Features:
- Only auto-scrolls when user is near bottom (configurable threshold, default: 80px)
- Pauses auto-scroll when user scrolls up
- Resumes when user scrolls back to bottom
- Uses scroll anchoring to prevent layout thrash
- Respects
prefers-reduced-motionfor accessibility
Usage:
const { autoScroll, isNearBottom, scrollToBottom, reset, userHasScrolledUp } = useSmartAutoScroll(
scrollRef,
{ nearBottomThreshold: 80, enableLogging: false }
);
// Auto-scroll when new messages arrive
useEffect(() => {
autoScroll();
}, [messages.length, autoScroll]);
// Reset when starting new conversation
useEffect(() => {
reset();
}, [reset]);
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 · 242 lines · 0 tokens per session scan A 918de79d6398
STREAMING_OPTIMIZATION is an agent published in the GitHub repository HomenShum/NodeBenchAI (14 stars, last pushed 18d ago), licensed MIT. It costs nothing until one of its globs matches a file; then it loads 1,685 tokens. 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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