Borrowing it
Nothing to install: this file belongs to Kewton/CommandMate. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.
curl -O https://raw.githubusercontent.com/Kewton/CommandMate/main/.claude/skills/release-post/SKILL.mdgit clone --depth 1 https://github.com/Kewton/CommandMateWrote 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/kewton/commandmate/release-post)<a href="https://agentmods.dev/skills/kewton/commandmate/release-post"><img src="https://agentmods.dev/badge/skills/kewton/commandmate/release-post/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/kewton/commandmate/release-post"><img src="https://agentmods.dev/badge/skills/kewton/commandmate/release-post.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector pass
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 | $0.00042 | $0.00939 |
| Opus 5.5 | $0.00017 | $0.00376 |
| Sonnet 5.5 | $0.00008 | $0.00188 |
| Haiku 4.5 | $0.00004 | $0.00094 |
Grade A, and why
release-post 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
リリース投稿スキル
リリース情報をX（Twitter）投稿用の文面として生成します。
使用方法
/release-post v0.2.4 v0.2.9 # v0.2.4〜v0.2.9の範囲で生成
/release-post v0.2.9 # 直前バージョンからv0.2.9までの範囲で生成
/release-post # 最新リリースの投稿を生成
実行手順
1. バージョン範囲の特定
$ARGUMENTS から開始バージョンと終了バージョンを特定する。
- 引数が2つ:
from-versionとto-versionとして使用 - 引数が1つ: そのバージョンを
to-versionとし、1つ前のタグをfrom-versionとする - 引数なし: 最新タグを
to-version、1つ前のタグをfrom-versionとする
# タグ一覧から特定
git tag -l --sort=-v:refname
2. CHANGELOG.mdから変更内容を収集
CHANGELOG.md を読み、対象バージョン範囲のセクションからすべての変更内容を収集する。
3. 投稿文面の生成
以下のフォーマットルールに従って投稿文を生成する。
フォーマットルール
- 文字数: 280文字以内（URLを除く）
- 言語: 日本語
- トーン: カジュアルだがプロフェッショナル
- 構成:
- タイトル行:
CommandMate v{to-version} リリース 🎉（複数バージョンの場合はv{from}〜v{to}） - サブタイトル: 前バージョンからの進化を簡潔に
- 主要変更の箇条書き（各項目に絵文字アイコン付き）
- プロジェクト説明の固定行
- GitHubリンク
- ハッシュタグ
- タイトル行:
絵文字の使い方
変更カテゴリに応じた絵文字を使用する:
| カテゴリ | 絵文字例 |
|---|---|
| 新機能 | ✨, 🆕, 📁, 🔔, 🌐 |
| バグ修正 | 🩹, 🔧, 🐛 |
| セキュリティ | 🔒, 🛡️ |
| パフォーマンス | ⚡, 🚀 |
| UI/UX | 🎨, 📱 |
| CLI | 💻, ⌨️ |
| AI/LLM | 🤖 |
固定フッター
Git worktree × Claude Code/Codex CLI × tmux の統合ツール
github.com/Kewton/CommandMate
#CommandMate #ClaudeCode #git #Tmux #codex
箇条書きのルール
- 各項目は機能のユーザー向けメリットを簡潔に記載（実装詳細は不要）
- 1項目は20文字程度を目安に
- 最大6項目まで（多い場合は主要なものに絞る）
- 優先順位: 新機能 > バグ修正 > リファクタリング
4. 出力
生成した投稿文をコードブロックで表示し、文字数（URL除く概算）を併記する。
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 · 90 lines · 42 tokens per session scan A c79784fd9072
release-post is a skill published in the GitHub repository Kewton/CommandMate (44 stars, last pushed today), licensed MIT. It adds 42 tokens to every session and 939 once invoked, about $0.0002 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 2026-08-30.
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