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 aldefy/rebound-skill --skill rebound-expert-skillgit clone --depth 1 https://github.com/aldefy/rebound-skillWrote 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/aldefy/rebound-skill/rebound-expert-skill)<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.
<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>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 | $0.00145 | $0.01160 |
| Opus 5.5 | $0.00058 | $0.00464 |
| Sonnet 5.5 | $0.00029 | $0.00232 |
| Haiku 4.5 | $0.00015 | $0.00116 |
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 1mo 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 — 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:
- Get the data — Run
./rebound-cli.sh snapshotor check the IDE Hot Spots tab - Identify the violator — Which composable exceeds its budget? What's its budget class?
- Check skip rate — Low skip rate (<50%) means parameters keep changing. High skip rate (>80%) with high rate means forced recomposition from parent.
- Check param states — Look at
paramStatesandparamTypesin the snapshot. Are paramsDIFFERENT? Are theyunstableorlambda? - Check the call tree — Is this composable being forced by a parent? Check the
parentfield andforcedCount. - Apply the fix — Consult
references/diagnosing-violations.mdfor the pattern that matches.
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.
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.
- 1mo ago First seen · 91 lines · 145 tokens per session scan A 91c78c376191
rebound is a skill published in the GitHub repository aldefy/rebound-skill (7 stars, last pushed 7mo ago), licensed Apache-2.0. It adds 145 tokens to every session and 1,160 once invoked, about $0.0006 per session on Opus 5.5. 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.
Other skills, from other repositories
ios-fix
Autonomous iOS bug fixer. (gstack).
node-connect
Diagnose OpenClaw Control UI browser and native Android, iOS, or macOS node connection failures across route, auth, pairing, QR/setup-code, and reconnect states.
google-mobile-ads-validate
Validates a project's Google Mobile Ads (GMA) SDK integration for iOS, Android, or Unity projects. Use when conducting a full pre-launch audit of an app that integrates GMA SDK or when validating any individual GMA SDK integration checks, such as when validating ad unit IDs and ad formats, SKAdNetwork IDs, mediation…
jetpack-compose-performance
Diagnose and optimize Android Jetpack Compose UI code. Use this skill when analyzing performance bottlenecks of existing code to minimize recomposition overhead and prevent dropped frames and UI lag.
swiftui-performance-audit
SwiftUI performance: render, scroll, CPU/memory, updates, layout, Instruments.
android-tombstone-symbolication
Symbolicate the .NET runtime frames in an Android tombstone file. Extracts BuildIds and PC offsets from the native backtrace, downloads debug symbols from the Microsoft symbol server, and runs llvm-symbolizer to produce function names with source file and line numbers. USE FOR triaging a .NET MAUI or Mono Android app…