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-podcastgit 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-podcast)<a href="https://agentmods.dev/skills/karaage0703/ai-assistant-workspace/xs-podcast"><img src="https://agentmods.dev/badge/skills/karaage0703/ai-assistant-workspace/xs-podcast/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-podcast"><img src="https://agentmods.dev/badge/skills/karaage0703/ai-assistant-workspace/xs-podcast.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector warn
SkillSpector: 1 finding, up to medium
These are SkillSpector’s own severities. On a checked sample its high-severity flags on skills were ~96% false positives — a documented command, a public API, a “never do X” rule — so we show them as a caution to read, not a verdict. Why →
- medium MCP Rug Pull · line 72 uvx/uv tool run commands without ==version create a rug-pull risk.Fix: Pin the version: uvx package-name==1.2.3
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 | $0.00053 | $0.01071 |
| Opus 5 | $0.00026 | $0.00535 |
| Sonnet 5 | $0.00011 | $0.00214 |
| Haiku 4.5 | $0.00005 | $0.00107 |
Grade A, and why
xs-podcast 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.
How it starts
The opening of the file, as written. The whole thing — 122 lines — stays where its author put it; the contents beside it link to each section on GitHub.
ポッドキャスト
ポッドキャストの音声取得から文字起こし・まとめまでを一貫して行う。
できること
- 音声ダウンロード — iTunes ID/RSSからエピソードを取得
- 文字起こし — ダウンロードした音声をテキスト化
- まとめ作成 — 要約・キーポイント・詳細メモを生成
手順
Step 1: 番組・エピソード確認
「どのポッドキャストをまとめますか？」
プリセット番組（番組名を言うだけでOK）：
- からあげ帝国放送局 — iTunes ID: 1522851508 / LISTEN: https://listen.style/p/karaage0703
- コテンラジオ — iTunes ID: 1450522865 / LISTEN: https://listen.style/p/cotenradio
- Rebuild — iTunes ID: 603013428
- ものづくりnoラジオ — iTunes ID: 1646913578 / LISTEN: https://listen.style/p/sibucho_labo
- fukabori.fm — iTunes ID: 1388826609
- サイエントーク — iTunes ID: 1566371326 / LISTEN: https://listen.style/p/scientalk
上記以外の番組はiTunes IDまたはRSS URLを指定してもらう。
確認する情報：
- 番組名またはiTunes ID
- エピソード番号/タイトル
Step 2: 取得手段の選択
| 手段 | 特徴 | 所要時間 |
|---|---|---|
| 🥇 LISTEN | 文字起こし済み、高品質 | 数秒 |
| 🥈 YouTube字幕 | 動画版がある場合 | 数秒 |
| 🥉 音声DL→文字起こし | 確実だが時間かかる | 数分〜 |
おすすめ: LISTENで公開されていればLISTENを使う
Step 3A: LISTENから取得する場合
# LISTENページから文字起こしを取得
# web_fetch https://listen.style/p/[番組]/[エピソードID]
Step 3B: 音声をダウンロードする場合
# 番組の最新エピソードを確認
cd skills/xs-podcast/scripts && uv run python podcast_downloader.py -i [iTunes_ID] -n 10 -l
# ダウンロード実行
cd skills/xs-podcast/scripts && uv run python podcast_downloader.py -i [iTunes_ID] -n [エピソード数]
iTunes IDの調べ方:
Apple Podcastで番組ページを開き、URLの id 以降の数字がiTunes ID。
例: https://podcasts.apple.com/jp/podcast/id1234567890 → iTunes ID は 1234567890
Step 4: 文字起こし（音声DLの場合）
transcriber スキルを使用：
uvx transcriber_tool transcribe "[音声ファイル]" --model-size base --output "[出力ファイル].txt"
Step 5: まとめ作成
文字起こしから以下を作成：
# [番組名] #[回] [タイトル]
**配信日:** YYYY/MM/DD
**長さ:** XX:XX
## 要約
（3-5行で内容を要約）
## キーポイント
- ポイント1
- ポイント2
- ポイント3
## 詳細メモ
（重要な発言や情報を箇条書き）
## 関連リンク
（番組内で紹介されたリンクがあれば）
Step 6: 完了報告
まとめをチャットに提示して完了。
出力先
ダウンロードした音声：
skills/xs-podcast/scripts/podcast_audio/
└── [番組名]/
├── 001_エピソード.mp3
└── episode_info.json
使用例
「Rebuildの最新回をまとめて」
「○○ポッドキャストをダウンロードして文字起こしして」
「Podcastの内容を教えて」
「https://example.com/feed.xml の最新回をまとめて」
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 · 122 lines · 53 tokens per session scan A 995cc3c2e36b
xs-podcast is a skill published in the GitHub repository karaage0703/ai-assistant-workspace (137 stars, last pushed 25d ago), licensed MIT. It adds 53 tokens to every session and 1,071 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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