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/implementation_summarygit 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 | $0.01289 |
| Opus 5 | $0.00000 | $0.00645 |
| Sonnet 5 | $0.00000 | $0.00258 |
| Haiku 4.5 | $0.00000 | $0.00129 |
Grade A, and why
IMPLEMENTATION_SUMMARY 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 — 166 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Streaming UI Optimization - Implementation Summary
Overview
Implemented comprehensive streaming UI optimization patterns to ensure smooth, animated streaming with per-step updates at 30-60fps without layout thrashing.
Files Created
1. Custom Hooks (src/components/FastAgentPanel/hooks/)
useStreamingBuffer.ts
- Purpose: Frame-aligned streaming buffer for batching updates
- Key Features:
- Accumulates tokens, steps, and status updates in a ring buffer
- Flushes on
requestAnimationFrameor at configurable intervals (default: 33ms ≈ 30fps) - Auto-flushes when buffer exceeds max size (default: 50 updates)
- Prevents UI blocking by batching updates
- Lifecycle management:
start(),stop(),flush() - Development logging support
useSmartAutoScroll.ts
- Purpose: Intelligent auto-scroll respecting user scroll position
- Key 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 - Methods:
autoScroll(),scrollToBottom(),reset(),isNearBottom()
index.ts
- Exports both hooks for easy importing
2. Memoized Components
StepTimelineItem.tsx
- Purpose: Memoized timeline step component for smooth rendering
- Optimizations:
- Uses
React.memowith custom comparison function - Only re-renders when step data or expanded state changes
- Animations use
transformandopacity(GPU-accelerated) - Smooth transitions with
cubic-bezier(0.4, 0, 0.2, 1)timing - Reduces commit time per step update
- Scales well with many steps
- Uses
3. CSS Animations
FastAgentPanel.animations.css (Enhanced)
Added GPU-accelerated animations:
@keyframes fadeInSmooth- Smooth fade-in with translateY@keyframes expandHeight- Expand/collapse with opacity@keyframes stepCountPulse- Step counter increment animation@keyframes typingDot- Typing indicator dots.animate-fadeIn- Apply smooth fade-in.animate-expandHeight- Apply expand animation.timeline-item- GPU-accelerated hover effects.streaming-message-container- Containment for layout optimization.tool-result-popover- Smooth popover appearance
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 · 166 lines · 0 tokens per session scan A 4ff1086e38ee
IMPLEMENTATION_SUMMARY 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 1,289 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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