按类别或厂商查找并获取网络安全报告,比较威胁、勒索软件、数据泄露、云安全和AI趋势。分析会注明每项数据的厂商、年份及报告,并分别呈现来源间的分歧。
- 按类别查找威胁报告
- 获取指定厂商的报告
- 比较多家厂商的勒索软件趋势
分析一篇文章、一段视频或其他单一来源,提炼可供 LifeOS 参考的改进建议;也可将内容分类后保存到 Cortex,并附上来源信息和关联链接。
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.
实测评分 未实测
查看安装方法Harvest 可以读取单一来源,例如文章、博客、新闻、YouTube 视频、X 帖子、PDF、图片、音频或粘贴的文字,并分析内容,整理 LifeOS 可以借鉴的建议。这些建议只会作为报告提供,不会自动应用到 LifeOS。若要保存到 Cortex,工具会识别来源类型、获取正文、进行分类,再生成包含来源网址、关联链接和审计记录的笔记。重复收录同一来源时会标记为重复。
阅读文章后想寻找可借鉴的想法,或想把视频和文字保存到 Cortex 以便日后查阅时,可以使用此技能。您可以同时请求分析和保存,也可以只要求保存网址或粘贴的文字。
首次使用需要构建 Harvest 服务,配置服务地址和令牌,并安装相应格式的工具。收录 YouTube 视频时会使用 Gemini 观看公开网址;部分视频可能无法成功收录。
本介绍由 AI(OpenAI Codex)根据公开的 SKILL.md 撰写。准确的规格请查看下方原文。
AI 根据 SKILL.md 的内容检查了需要注意的操作和使用前提。评分只依据实际运行的结果(实测对比)。
不计入评分。 由 AI(OpenAI Codex)于 2026年10月28日 评估。仅供参考,安装前请同时查看原文。
安装前可以查看交给 AI 代理的指令内容。
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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按类别或厂商查找并获取网络安全报告,比较威胁、勒索软件、数据泄露、云安全和AI趋势。分析会注明每项数据的厂商、年份及报告,并分别呈现来源间的分歧。
通过三轮分析,对比单个功能或组件的设计需求与整个系统的目标,梳理两者的冲突、合适的实现范围,以及方案是否符合整体方向。
按文章主题寻找格言或引文,按相关程度排序,并附上作者和推荐理由。可添加带出处的引文、按主题研究思想家的言论、整理使用记录,帮助避免重复引用。
按用途选择制作流程,生成博客插图、技术图解、比较图、漫画和图标等视觉内容,并输出供预览的图像。
依据简报和制作标准评估图片、影片、幻灯片及网站页面截图,由视觉评审给出评分和缺陷优先级,支持有限轮次的修改;通过评审后才能交付,并可记录人工评分供后续校准。
按主题、研究领域或论文编号查找 arXiv 论文,并整理标题、作者、摘要和链接;查看新投稿,也可在有内容时获取 AlphaXiv 的人工智能生成概述。