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 karaage0703/ai-assistant-workspace --skill xs-calendargit clone --depth 1 https://github.com/karaage0703/ai-assistant-workspaceWrote 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/karaage0703/ai-assistant-workspace/xs-calendar)<a href="https://agentmods.dev/skills/karaage0703/ai-assistant-workspace/xs-calendar"><img src="https://agentmods.dev/badge/skills/karaage0703/ai-assistant-workspace/xs-calendar/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/karaage0703/ai-assistant-workspace/xs-calendar"><img src="https://agentmods.dev/badge/skills/karaage0703/ai-assistant-workspace/xs-calendar.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 | $0.00067 | $0.00842 |
| Opus 5 | $0.00034 | $0.00421 |
| Sonnet 5 | $0.00013 | $0.00168 |
| Haiku 4.5 | $0.00007 | $0.00084 |
Grade A, and why
xs-calendar 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 13d 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
calendar スキル
ICSカレンダー（Googleカレンダー等）＋ 手動追加の予定（画像読み取り等）を統合して予定を確認する。
セットアップ
[SKILL_DIR]/calendar_urls.json にICS URLを登録する：
{
"calendars": [
{
"name": "main",
"url": "https://calendar.google.com/calendar/ical/xxxxx/basic.ics"
},
{
"name": "family",
"label": "家族",
"url": "https://calendar.google.com/calendar/ical/yyyyy/basic.ics"
}
]
}
name: カレンダー識別名（必須）url: ICSのURL（必須）。Googleカレンダーの場合「設定 → カレンダーの統合 → iCal形式の非公開URL」label: 表示ラベル（任意）。設定すると予定に[家族]のようなタグが付く。共有カレンダーなど、自分の予定とは限らないものに付けると便利
コマンド
cd [SKILL_DIR] && uv run python calendar_check.py [引数]
today/ 引数なし → 今日tomorrow→ 明日week→ 今後7日間0 7→ 今日から7日間（範囲指定）-7 0→ 過去7日間
画像からの予定追加
カレンダーのスクリーンショットが送られたら：
Step 1: 画像を読み取る
添付画像を Read ツールで確認する。
Step 2: 予定を抽出
画像から以下の情報を読み取る：
- 日付、開始時刻、終了時刻、予定名
- 終日予定かどうか
Step 3: manual_events.json に保存
[SKILL_DIR]/manual_events.json に保存。既存の予定とマージする（同じ日付の予定は上書き）。
{
"events": [
{
"date": "2026-03-01",
"time_start": "09:00",
"time_end": "10:00",
"summary": "ミーティング",
"all_day": false
},
{
"date": "2026-03-01",
"summary": "有給休暇",
"all_day": true
}
],
"updated_at": "2026-03-01T12:00:00+09:00"
}
保存ルール
- 同じ日付の予定は上書き（最新の画像が正）
updated_atを更新時刻に設定- 過去の予定は放置OK（表示時にフィルタされる）
Step 4: 再確認
保存後、calendar_check.py を再実行して反映を確認。
チェックリスト（実行時に必ず確認）
-
calendar_urls.jsonが存在するか（初回はセットアップを案内） - 画像から予定を追加した場合、保存後に再実行して確認したか
- 🚨 共有カレンダーの予定を「あなたの予定」と断定しない（labelで区別する）
What ships with it
2 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.
- 13d ago First seen · 99 lines · 67 tokens per session scan A bdfd694550bd
xs-calendar is a skill published in the GitHub repository karaage0703/ai-assistant-workspace (137 stars, last pushed 25d ago), licensed MIT. It adds 67 tokens to every session and 842 once invoked, about $0.0003 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 2026-08-30.
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