Borrowing it
Nothing to install: this file belongs to jonigata/FramePlanner2. 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/jonigata/FramePlanner2/sns_main/.claude/commands/tweet.mdgit clone --depth 1 https://github.com/jonigata/FramePlanner2Wrote 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/commands/jonigata/frameplanner2/tweet)<a href="https://agentmods.dev/commands/jonigata/frameplanner2/tweet"><img src="https://agentmods.dev/badge/commands/jonigata/frameplanner2/tweet.svg" alt="Measured on agentmods" 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 | $0.00000 | $0.00284 |
| Opus 5 | $0.00000 | $0.00142 |
| Sonnet 5 | $0.00000 | $0.00057 |
| Haiku 4.5 | $0.00000 | $0.00028 |
Grade A, and why
tweet 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 yesterday.
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
新機能についてのツイート用テキストを作成してください: $ARGUMENTS
引数に書かれた機能の説明を元に、以下のフォーマットでツイート用テキストを生成してください。
フォーマットルール
- 各機能を簡潔に1〜2行で説明（絵文字不要）
- 機能が複数ある場合は空行で区切る
- 末尾に以下のハッシュタグを付ける：
#FramePlanner
#まんがファーム
- 全体で280文字以内に収める（日本語は1文字=2文字換算）
- 技術的な用語は避け、ユーザー視点で書く
- 敬語（です・ます調）で統一
出力例
レイヤー素材の個別ダウンロード時、ファイル名がp001_f002_l001.pngのような形式になりました
ダウンロードメニューに「使用素材の一括ダウンロード」を追加しました
#FramePlanner
#まんがファーム
出力方法
生成したテキストをそのまま表示してください。ユーザーが /copy でコピーできます。
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.
- yesterday First seen · 32 lines · 0 tokens per session scan A ea77b7637570
tweet is a command published in the GitHub repository jonigata/FramePlanner2 (43 stars, last pushed 15d ago), licensed MIT. It costs nothing until one of its globs matches a file; then it loads 284 tokens. 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 2026-09-04.
Other commands, from other repositories
checklist
Generate a custom checklist for the current feature based on user requirements.
clarify
Identify underspecified areas in the current feature spec by asking up to 5 highly targeted clarification questions and encoding answers back into the spec.
specify
Create or update the feature specification from a natural language feature description.
analyze
Perform a non-destructive cross-artifact consistency and quality analysis across spec.md, plan.md, and tasks.md after task generation.
converge
Assess the current codebase against the feature's spec, plan, and tasks, then append any remaining unbuilt work as new tasks to tasks.md so implement can complete it.
implement
Execute the implementation plan by processing and executing all tasks defined in tasks.md.