複数ベンダーの年次サイバーセキュリティ報告書を探して取得し、脅威やランサムウェア、侵害統計の傾向を出典付きで比較・分析します。
- 脅威レポートをカテゴリ別に探したいとき
- 特定ベンダーの報告書を取得したいとき
- ランサムウェア動向を複数社で比較したいとき
記事や動画、テキストを分析し、LifeOSへの改善案をまとめたり、分類・関連付けを添えてCortexに保存したりできます。
Mines one piece of content for LifeOS and/or ingests it into Cortex. USE WHEN harvest, harvest this, /harvest, /ha, mine this for the system, anything useful in this for us, what can LifeOS take from this, should we adopt anything from this, ingest to knowledge, save to knowledge, drop into knowledge, route to knowledge, add to the knowledge archive, archive this signal, capture this to knowledge, classify and route to knowledge. NOT FOR Cortex note ops, Upgrade / lu scans, Cortex recall, X PullBookmarks sweeps.
実行スコア 未検証
インストール方法を見る記事、ブログ、ニュース、YouTube動画、Xの投稿、PDF、画像、音声、貼り付けた文章など、ひとつの情報源を読み取り、内容の分析やLifeOSに取り入れる候補をまとめます。候補は提案として報告され、LifeOSへ自動で適用されるものではありません。Cortexに保存する場合は、情報源の種類を判定し、本文を取得して分類したうえで、出典URLや関連リンク、監査記録を含むノートとして登録します。同じ情報源を再度取り込んだときは重複として扱います。
読んだ記事から参考になる考え方を探したいときや、動画や文章をあとで参照できる形でCortexに残したいときに使えます。分析と保存をまとめて頼むことも、URLやテキストの保存だけを頼むこともできます。
初回利用時はHarvestサービスの構築、接続先とトークンの設定、形式に応じたツールの導入が必要です。YouTube動画は公開URLを使ったGeminiの視聴処理を利用し、動画によっては取り込みに失敗します。
この紹介文は、公開されている SKILL.md をもとに AI(OpenAI Codex)が作成しました。正確な仕様は下の原文を確認してください。
SKILL.md の記述から、注意が要る操作と導入の前提を AI が確認しました。点数は実際に動かした結果(実行検証)だけで付けています。
点数には入れていません。 2026年10月28日 時点で AI(OpenAI Codex)が判定しました。目安なので、入れる前に原文も確認してください。
インストールする前に、エージェントに与えられる指示の中身を確認できます。
Contents: Ideal State · Intent Routing · Tool contract · Data & Config · Gotchas · Examples
Two halves of one motion. Mine: read one piece of content and analyze it properly — what it is, where it is strong and weak — and, as one section of that report, what LifeOS should adopt from it (adoption report-only), with any further sections (such as the DA's own commentary) set by the install's preferences. Ingest: land the source in Cortex as a proper note — one CLI detects the source type, fetches the body or transcript, sends it through the Workflows classifier for TELOS-graded routing, then writes a schema-correct note with typed cross-links and a sidecar audit trail.
Saving signal by hand skips the cross-links, guesses the wrong folder and forgets the source URL, so capture is one command that routes through the same classifier and writer every time.
PREFERENCES.md asks for, and those candidates are recommended, never applied.| Intent | Trigger | File |
|---|---|---|
| Mine (general analysis + LifeOS-upgrade pass, then ingest) | harvest <input>, /ha, "mine this for the system", "anything useful in this for us" | Intents/Mine.md |
| HarvestUrl (ingest an article, blog, LessWrong, Substack, news) | "ingest <URL>", "save this <URL> to knowledge" | Intents/HarvestUrl.md |
| HarvestYoutube (ingest any youtu.be / youtube.com link) | "ingest <youtube URL>", "save this video to knowledge" | Intents/HarvestYoutube.md |
| HarvestText (ingest raw paste, no URL) | "ingest the following:", "save this text to knowledge" | Intents/HarvestText.md |
The bare word "harvest" routes to Mine (mine → then ingest). "Ingest"/"save to knowledge" routes straight to the matching ingestion intent. If the input is ambiguous (URL is a YouTube link), Tools/harvest.ts auto-detects host and routes itself.
| File | Read when |
|---|---|
Setup.md | first-time setup: build the harvest service, set the address and token, install the format tools |
bun ~/.claude/skills/Harvest/Tools/harvest.ts <input> [--type auto|article|youtube|x|text|pdf|image|audio] [--url <url>] [--dry-run] [--body-out <file>] (the type list is harvest.ts --help's; --url names the canonical source for a text signal; --body-out writes the fetched title and full body to a file before any POST, so a caller analyzes the same text the note is built from)Setup.md § 3. Build the service; URL in Config.md / HARVEST_API_BASE env) — accepts a normalized signal at /ingest-and-classify, persists it idempotently in its D1 database, and returns {id, classification, confidence, reasoning, routed_actions}.LIFEOS/TOOLS/HarvestExecutor.ts (local) — polls Workflows' /items, dispatches routed_actions through typed handlers (create_knowledge_idea_entry, create_knowledge_source_entry, create_learning_queue_entry), and writes the actual KNOWLEDGE note with harvest_item_id linkage.MEMORY/KNOWLEDGE/ directly. It always routes through Workflows then the executor.UNIQUE(source, external_id) — re-harvesting the same URL returns output.status: "duplicate". The executor sidecar at MEMORY/STATE/harvest-executor-state.json makes the local write idempotent too. On a duplicate, look up the existing item with the source and external_id the summary block printed: curl -H "Authorization: Bearer $TOKEN" "$HARVEST_API/items?source=<source>&external_id=<id>". YouTube captures use source=web (the video id is the external id); articles, X posts, files and pasted text use source=manual.MEMORY/KNOWLEDGE/{Ideas,People,Companies,Research}/<slug>.md with source_url:, source_harvest_id:, ≥2 typed related: entries, and 1-3 body [[wikilinks]].The summary block harvest.ts prints to stdout contains:
source — manual:lesswrong-<id> or similar canonical external_idworkflows.id — D1 row id (used to look up the harvest item later)classification — knowledge / learning / blog_seed / etc.confidence — Workflows' confidence scorerouted_actions — the action verbs Workflows decidedexecutor.paths_written — actual file paths created in MEMORY/KNOWLEDGE/executor.status — executed / backfilled / deferredThe USER extension lives at <configRoot>/LIFEOS/USER/CUSTOMIZATIONS/SKILLS/Harvest/ (configRoot is $CLAUDE_CONFIG_DIR when set, else ~/.claude; harvest.ts resolves its sibling tools from the same root):
Config.md — harvest_api_base:, the harvest worker URL. The HARVEST_API_BASE env var wins when set; with neither, harvest.ts stops and names the file and key.PREFERENCES.md (optional) — report preferences the Mine intent applies on top of its default shape, including any section it adds.History.md (optional) — the install's provenance behind generic credits in the intents, read on demand.The bearer token is the auth_token: field of ~/.config/workflows/config.yaml, the same source HarvestExecutor uses (see Gotchas).
First-time setup (the harvest service, its address and token, and the format tools) is in Setup.md.
MEMORY/KNOWLEDGE/ is a storage path, not the product name; "Knowledge Archive" and "knowledge system" are not names for Cortex. Preserve literal paths, API identifiers, source quotations, and accepted trigger phrases.harvest.ts sends the URL to LIFEOS/TOOLS/GeminiWatch.ts and the note body names the model that watched it. The title comes from YouTube's published oEmbed endpoint, and falls back to YouTube <id> when that answers nothing. Gemini refuses some livestream URLs ("caller does not have permission"); the capture then fails with that reason. Don't try to parse the YouTube page HTML directly — it's mostly nav and JS. An install may add its own transcript lane beside the tool; when one is present it runs first, the watch pass is its fallback, and the note body says which source was used.HarvestExecutor.ts. If a write requirement isn't supported (new action verb, new entity type), extend the executor's handler set — don't fork the write logic into this skill.~/.config/workflows/config.yaml under auth_token: — not in ~/.claude/.env. Read the YAML; don't process.env.WORKFLOWS_TOKEN.arxiv.org/pdf/<id> has no .pdf on it. Routed by path alone, that link goes to the article path, which fetches the PDF bytes, HTML-strips them, and produces mojibake that passes the length check and would be filed as a real capture. The fetch now sniffs Content-Type and the %PDF- magic bytes and re-routes, with assertReadableText() as the backstop that fails any body over 2% control/replacement characters. Never loosen that guard to make a stubborn source "work" — a capture that stores garbage is worse than one that fails.text. Falling through files the path string itself as the note body — a stub wearing the shape of a successful capture. detectType throws on an unrecognized extension for exactly this reason (Synapse ISC-22). A relative path resolves against the working directory; before 2026-10-13 only absolute paths counted as files, so harvest.ts notes.md filed the string "notes.md" as raw text.CLAUDECODE blocks the subprocess (OPERATIONAL_PREFERENCES), so describeImage returns null and OCR alone carries the capture rather than the whole harvest failing. Run image harvests from a plain shell when the description matters.youtu.be and youtube.com → YouTube; everything else with http(s):// → article. Raw text (no scheme) → text. An X/Twitter status URL → x: read through skills/X/Tools/read.ts, and a post carrying a video has the video downloaded and watched (GeminiWatch.ts watchFile); a failed watch fails the capture (Synapse ISC-32). Bluesky still goes as an article./items does not return the body, so harvest.ts hands it to the executor with --body-file. Before 2026-10-08 every note was written from the title and the classifier's one-line reasoning alone (Synapse ISC-33). Running HarvestExecutor.ts --item by hand without --body-file still gets the thin metadata-only note.--type text --url <page>. harvest.ts fetches only the page it was given and never calls endpoints the page did not ask for.--dry-run doesn't touch Workflows. It runs source detection + body fetch and prints what would be POSTed. Useful when validating a new source type without burning a D1 row.User: "harvest https://youtu.be/<video-id>"
→ Mine intent
→ A harvest report (analysis, any preference-added sections, LifeOS upgrades table, verdict) ending in a **Cortex:** line with the note path
User: "save this https://example.com/some-article to knowledge"
→ HarvestUrl intent
→ One readable block from the printed summary, including the Cortex note path, or the duplicate's existing path
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複数ベンダーの年次サイバーセキュリティ報告書を探して取得し、脅威やランサムウェア、侵害統計の傾向を出典付きで比較・分析します。
個別の機能や部品の設計と、システム全体の目的を同じ問いで比較し、両者の食い違い、適切な実装範囲、全体との整合性を3段階で整理するスキルです。
文章のテーマに合う格言や引用を探し、著者・出典と選定理由を添えて提案します。引用の追加、思想家の調査、利用履歴の管理を通じて、同じ引用の繰り返しも防ぎます。
ブログの挿絵や技術図解、比較図、マンガ、アイコンなどを用途別の手順で制作します。形式に合う構図や配色を組み立て、確認用の画像を出力します。
画像や映像、スライド、サイト画面の品質を複数の判定役で評価し、修正点の整理から基準を満たした成果物の引き渡しまで進めます。
arXivの論文をテーマ・分野・論文IDで探し、著者や要旨、リンクをまとめます。新着論文の確認や、用意されている場合はAlphaXivのAI生成概要の取得にも対応します。