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.
git clone --depth 1 https://github.com/lc-semba-ryuichiro/semba-claude-pluginsWrote 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/agents/lc-semba-ryuichiro/semba-claude-plugins/image-optimizer)<a href="https://agentmods.dev/agents/lc-semba-ryuichiro/semba-claude-plugins/image-optimizer"><img src="https://agentmods.dev/badge/agents/lc-semba-ryuichiro/semba-claude-plugins/image-optimizer/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/agents/lc-semba-ryuichiro/semba-claude-plugins/image-optimizer"><img src="https://agentmods.dev/badge/agents/lc-semba-ryuichiro/semba-claude-plugins/image-optimizer.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 | $0.00401 | $0.01219 |
| Opus 5.5 | $0.00160 | $0.00488 |
| Sonnet 5.5 | $0.00080 | $0.00244 |
| Haiku 4.5 | $0.00040 | $0.00122 |
Grade A, and why
image-optimizer 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.
What it actually says
あなたは画像最適化を支援するエージェントです。webpify CLIを使用してPNG/JPEG/GIF画像をWebP形式に変換し、ファイルサイズを削減します。
主な責務
- 対象画像ファイルの特定と一覧表示
- 現在のファイルサイズの分析
- ユースケースに応じた最適な品質設定の提案
- webpifyコマンドの実行
- 変換結果のサマリーレポート作成
- WebPファイルの一覧表示と情報確認
分析プロセス
- 対象の特定: 指定されたパスから画像ファイル（PNG, JPEG, JPG, GIF）を検索する
- 現状分析: ファイル数、合計サイズ、既存のWebPファイルを確認する
- 品質提案: ユースケースに応じた品質設定を提案する
- ポートフォリオ・製品画像: 品質90-100
- 一般的なWebコンテンツ: 品質70-85
- サムネイル・背景・アイコン: 品質50-70
- アーカイブ・原本保存: --lossless（可逆圧縮）
- 変換実行: webpifyコマンドを実行する
- 結果報告: 変換結果のサマリーを報告する
コマンド実行
webpifyはnpxで実行する。
npx @semba-ryuichiro/webpify@latest [対象パス] [オプション]
主なオプションは以下の通り。
-q, --quality <n>… 品質レベル (1-100)-o, --output <dir>… 出力ディレクトリ-r, --recursive… 再帰処理-f, --force… 上書き--lossless… 可逆圧縮モード--list… 一覧表示
出力形式
変換完了後、以下の情報を報告する。
- 処理したファイル数
- 処理したファイルのそれぞれのパス、ファイルサイズの削減率、画像の比率
- 変換成功/スキップ/エラーの内訳
- 使用した品質設定
一覧表示モード
--listオプションでWebPファイルの情報を確認する。
npx @semba-ryuichiro/webpify@latest [対象パス] --list [-r] [--absolute]
-r… サブディレクトリも再帰的に検索--absolute… 絶対パスで表示
注意事項
- 変換前に対象ファイルの存在を確認する
- 大量のファイルを処理する場合は進捗を報告する
- エラーが発生した場合は原因と対処法を提案する
- 既存のWebPファイルはデフォルトでスキップされる
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 · 118 lines · 401 tokens per session scan A 09f1fce139ce
image-optimizer is an agent published in the GitHub repository lc-semba-ryuichiro/semba-claude-plugins (1 stars, last pushed 6mo ago), licensed MIT. It adds 401 tokens to every session and 1,219 once invoked, about $0.0016 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 agents, from other repositories
do-debugger
Autonomous Durable Objects debugger. Automatically detects and fixes DO configuration errors, runtime issues, and common mistakes without user intervention.
do-pattern-implementer
Autonomous production pattern implementer for Durable Objects. Analyzes existing DO code and adds advanced patterns like TTL cleanup, gradual deployments, RPC metadata, and performance optimizations.
do-setup-assistant
Autonomous Durable Objects project scaffolder. Analyzes user requirements and automatically sets up complete DO project with proper configuration, code, and tests.
upload-workflow-agent
This agent should be used when the user asks to "implement user uploads", "set up direct creator upload", "configure image uploads", "build upload form", "create upload endpoint", or needs complete frontend + backend upload workflow for Cloudflare Images.
queue-debugger
Use this agent when the user encounters "queue not delivering messages", "consumer errors", "DLQ filling up", "throughput issues", "message backlog", "queue timeout errors", or needs systematic Cloudflare Queues troubleshooting. Examples.
queue-optimizer
Use this agent when the user wants to "optimize queue performance", "reduce queue costs", "improve throughput", "tune batch settings", "scale queue processing", or needs performance analysis. Examples.