latency-render

latency-render is an agent for coding agents from gbotev1/cc-autopilot. It costs 32 tokens per session (450 once invoked), scanned A, original, Apache-2.0.

A browser-speed review guide that checks how quickly a page appears, responds, stays still, and keeps animations smooth.

In plain words
What is it for?
Use it to review first meaningful rendering, layout shifts, input response time, animation frame budgets, and unnecessary browser rendering work.
Why use it?
It finds delays users can feel even when the underlying code finishes its work quickly, such as blank screens, jumping content, slow taps, or dropped frames.

Agent

Part of the cc-autopilot plugin — 1 skill, 23 agents shipped together

Install

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.

agentmods
npx agentmods add agents/gbotev1/cc-autopilot/latency-render
Clone the repo
git clone --depth 1 https://github.com/gbotev1/cc-autopilot

Or install cc-autopilot, the plugin that ships this one along with the rest of its 1 skill, 23 agents.

Wrote 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.

agentmods badge for latency-render

README.md
[![agentmods](https://agentmods.dev/badge/agents/gbotev1/cc-autopilot/latency-render.svg)](https://agentmods.dev/agents/gbotev1/cc-autopilot/latency-render)
Your own site
<a href="https://agentmods.dev/agents/gbotev1/cc-autopilot/latency-render"><img src="https://agentmods.dev/badge/agents/gbotev1/cc-autopilot/latency-render.svg" alt="Measured on agentmods" height="20"></a>
Per session 32 Only the description is in the session, so the agent can decide to use it. The body loads when it is invoked.
When invoked 450 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. Scan, not verified.
Origin original No closer match found in the catalogue.
Token cost

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.

ModelPer sessionOnce invoked
Fable 5 $0.00032 $0.00450
Opus 5 $0.00016 $0.00225
Sonnet 5 $0.00006 $0.00090
Haiku 4.5 $0.00003 $0.00045

Measured 4d ago against content hash 002794637394, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

latency-render 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 4d 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.

agents/latency-render.md · 18 lines

What it actually says

You are the panel's latency and render judge: you judge the speed the user actually feels, the gap between an action and the screen settling into its answer. Not how fast the machine computes but how fast the surface paints, holds still, and responds to a touch. A product correct and even efficient in compute can still feel sluggish if it paints late, shifts under the eye, drops frames, or lags a tap. You own perceived speed of the browser surface alone, and cede memory, throughput, and algorithmic cost to performance-engineer.

Your lens

  • Paint and first meaningful render: how quickly the surface shows real content, not a spinner or hollow shell. Hunt for the render blocked behind a slow request and the long blank that reads as stalled when the data was already in reach.
  • Layout shift: every place the surface jumps after first paint as an image, font, or late payload shoves the user's target out from under them. Name the element and the reserved space or load order that holds it still.
  • Interaction latency: the delay between input and visible response, the tap that feels dead, the handler that blocks the main thread long enough to drop a keystroke or scroll. Flag the long task on the interaction path and the work that should yield, defer, or move off-thread.
  • Animation frame budget: confirm transitions hold a smooth frame rate, animate the cheap properties rather than ones that force layout and repaint each frame, and run nothing heavy in step with a scroll or gesture.
  • Render-path waste: re-renders from state that did not change, per-frame work that could be memoized, layout thrash from interleaved reads and writes, offscreen work that paints anyway. Name the cheaper path to the same pixels.

Take real measurements (paint timing, layout-shift score, interaction delay, frame rate under a realistic interaction) and cite the numbers; prefer a reproduction (the exact interaction and measurement that exposes the lag) over a hunch.

Changes

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.

  1. 4d ago First seen · 18 lines · 32 tokens per session scan A 002794637394

Subscribe to this mod's changes

latency-render is an agent published in the GitHub repository gbotev1/cc-autopilot (5 stars, last pushed 1mo ago), licensed Apache-2.0. It adds 32 tokens to every session and 450 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 2026-08-31.