rebound

rebound is a skill for Claude Code, Codex from aldefy/rebound-skill. It costs 145 tokens per session (1,160 once invoked), scanned A, original, Apache-2.0.

A guide for diagnosing slow or excessive recomposition in Jetpack Compose, Android's toolkit for building user interfaces with Kotlin.

In plain words
What is it for?
Use it to interpret Rebound budget violations and skip rates, investigate compiler or runtime data, and choose fixes using its command-line, IDE, and build-plugin guidance.
Why use it?
It helps explain why Compose redraws parts of the interface, which can cause wasted work or visible stuttering.

Skill for Claude CodeCodex

Written for no agent in particular: nothing here depends on one.

Good fit Use it to interpret Rebound budget violations and skip rates, investigate compiler or runtime data, and choose fixes using its command-line, IDE, and build-plugin guidance.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/aldefy/rebound-skill/rebound-expert-skill
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.

Any agent
npx skills add aldefy/rebound-skill --skill rebound-expert-skill
Clone the repo
git clone --depth 1 https://github.com/aldefy/rebound-skill

Made for: Claude Code, Codex.

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 rebound

README.md
[![agentmods](https://agentmods.dev/badge/skills/aldefy/rebound-skill/rebound-expert-skill/github.svg)](https://agentmods.dev/skills/aldefy/rebound-skill/rebound-expert-skill)
Your own site
<a href="https://agentmods.dev/skills/aldefy/rebound-skill/rebound-expert-skill"><img src="https://agentmods.dev/badge/skills/aldefy/rebound-skill/rebound-expert-skill/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.

agentmods 80×15 button for rebound

Your own site · 80×15
<a href="https://agentmods.dev/skills/aldefy/rebound-skill/rebound-expert-skill"><img src="https://agentmods.dev/badge/skills/aldefy/rebound-skill/rebound-expert-skill.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 145 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,160 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe.
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 5.1 $0.00145 $0.01160
Opus 5 $0.00072 $0.00580
Sonnet 5 $0.00029 $0.00232
Haiku 4.5 $0.00015 $0.00116

Measured 10d ago against content hash 91c78c376191, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-10, from the pricing page.

Security

Grade A, and why

rebound 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 10d 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.

rebound-expert-skill/SKILL.md · 91 lines

How it starts

The opening of the file, as written. The whole thing — 91 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Rebound — Recomposition Budget Monitor Skill

Practical guidance for diagnosing and fixing Compose recomposition performance issues using Rebound's compiler plugin, runtime, IDE plugin, and CLI tooling.

Workflow

When helping with Compose recomposition performance, follow this checklist:

1. Understand the problem

  • Is this a setup question, a violation diagnosis, or a stability optimization?
  • Is the user looking at CLI output, IDE data, or logcat warnings?
  • What platform? Android, iOS simulator, iOS physical device, or KMP?

2. Consult the right reference

Read the relevant reference file(s) from references/ before answering:

Topic Reference File
Budget classes, thresholds, color coding, dynamic scaling, @ReboundBudget references/budget-classes.md
Violation patterns per budget class, diagnostic workflow, code fixes references/diagnosing-violations.md
CLI commands, JSON snapshot structure, connection modes, netcat queries references/cli-usage.md
IDE 5-tab cockpit, editor integration, connection setup references/ide-plugin.md
Gradle plugin setup, config options, KMP, iOS relay, Kotlin version matrix references/setup-guide.md
Skip rate formula, $changed bitmask, param states, forced vs param-driven, fix strategies references/skip-rate-stability.md

3. Diagnose before fixing

Follow this diagnostic sequence:

  1. Get the data — Run ./rebound-cli.sh snapshot or check the IDE Hot Spots tab
  2. Identify the violator — Which composable exceeds its budget? What's its budget class?
  3. Check skip rate — Low skip rate (<50%) means parameters keep changing. High skip rate (>80%) with high rate means forced recomposition from parent.
  4. Check param states — Look at paramStates and paramTypes in the snapshot. Are params DIFFERENT? Are they unstable or lambda?
  5. Check the call tree — Is this composable being forced by a parent? Check the parent field and forcedCount.
  6. Apply the fix — Consult references/diagnosing-violations.md for the pattern that matches.

Read the full file on GitHub · 91 lines

Files

What ships with it

6 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.

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. 10d ago First seen · 91 lines · 145 tokens per session scan A 91c78c376191

Subscribe to this mod's changes

rebound is a skill published in the GitHub repository aldefy/rebound-skill (5 stars, last pushed 6mo ago), licensed Apache-2.0. It adds 145 tokens to every session and 1,160 once invoked, about $0.0007 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.

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