AI agent skill that researches any topic across Reddit, X, YouTube, HN, Polymarket, and the web - then synthesizes a grounded summary
# /last30days
English | [Français](README.fr.md) | [Deutsch](README.de.md) | [Español](README.es.md) | [Português (Brasil)](README.pt-BR.md) | [日本語](README.ja.md) | [简体中文](README.zh-CN.md) | [العربية](README.ar.md)
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Tools
Tools
No tool list yet. Remote servers get one after the first health check.
AI agent skill that researches any topic across Reddit, X, YouTube, HN, Polymarket, and the web - then synthesizes a grounded summary
Copy the stdio config for Cursor, Claude Desktop, Claude Code, or VS Code on this page. It uses the publisher's install, not a PlugMCP proxy.
Does Last30days Skill need an API key?
No required environment variable is listed on this record.
What transport does Last30days Skill use?
Last30days Skill runs locally over stdio.
When was Last30days Skill last checked?
Last checked 2026-11-10. AI agent skill that researches any topic across Reddit, X, YouTube, HN, Polymarket, and the web - then synthesizes a grounded summary
# /last30days
English | [Français](README.fr.md) | [Deutsch](README.de.md) | [Español](README.es.md) | [Português (Brasil)](README.pt-BR.md) | [日本語](README.ja.md) | [简体中文](README.zh-CN.md) | [العربية](README.ar.md)
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This README tracks the current v3 pipeline. The runtime skill spec lives in skills/last30days/SKILL.md, which is the source of truth for the latest command and setup behavior.
Claude Code (recommended — auto-updates via marketplace):
(-g installs globally for your user, available across all projects. Drop it to scope per-project.)
More install options (claude.ai web, OpenClaw, manual) in the Install section below.
Zero config. Reddit, HN, Polymarket, and GitHub work immediately. Run it once and the setup wizard unlocks X, YouTube, TikTok, arXiv, Techmeme, and more in 30 seconds.
Reddit upvotes. X likes. YouTube transcripts. TikTok engagement. Polymarket odds backed by real money and insider information. That's millions of people voting with their attention and their wallets every day. /last30days searches all of it in parallel, scores it by what real people actually engage with, and an AI agent judge synthesizes it into one brief.
Google aggregates editors. /last30days searches people.
You can't get this search anywhere else because no single AI has access to all of it. Google search doesn't touch Reddit comments or X posts. ChatGPT has a deal with Reddit but can't search X or TikTok. Gemini has YouTube but not Reddit. Claude has none of them natively. Each platform is a walled garden with its own API, its own tokens, its own auth. But you can bring your own keys and browser sessions, and suddenly an AI agent can search all of them at once, score them against each other, and tell you what actually matters.
That's the unlock. Not one better search engine. A dozen disconnected platforms, bridged by an agent.
/last30days Peter Steinberger
You have a meeting tomorrow. You Google them. You get their LinkedIn from 2023. /last30days gives you what they're actually doing this month: joined OpenAI to work on Codex, fighting Anthropic's ban on third-party agents, shipping 23 PRs at 85% merge rate, building "LobsterOS" for cross-device agent control, and r/ClaudeCode hit 569 upvotes debating whether he's a hero or "insufferable." Scattered across X posts, Reddit threads, YouTube transcripts, and GitHub commits. None of it was on Google.
Why this exists
I built it to keep up in AI. Everything changes every day and the Reddit and X nerds are always on top of it first. I needed better prompts, and the training data was always months behind what the community had already figured out.
But it turned into something bigger. Now I run it before a sales call to know the last 30 days truth about a business. Before a meeting to read someone's recent tweets and podcast transcripts. Before a Disney World trip to know which rides are closed and what the community says about Genie+. Before I build anything to know what problems people are actually hitting.
If you're meeting with a CEO, have you read all their tweets and YouTube transcripts from the last 30 days? I have.
Sources, scored by the people
Source
What the people tell you
Reddit
The unfiltered take. Top comments with real upvote counts, free, no API key. The real opinions that Google buries.
X / Twitter
The hot take, the expert thread, the breaking reaction. First to know, first to argue.
YouTube
The 45-minute deep dive. Full transcripts searched for the 5 quotable sentences that matter.
TikTok
The creator reaching 3.6M people with a take you'll never find on Google.
Instagram Reels
The influencer perspective with spoken-word transcripts. The visual culture signal.
Hacker News
The developer consensus. 825 points, 899 comments. Where technical people actually argue.
Polymarket
Not opinions. Odds. Backed by real money. 96% confidence on album sales. 4% on an acquisition.
GitHub
For people: PR velocity, top repos by stars, release notes. For topics: issues and discussions.
Digg
Story clusters from Digg's AI and Tech sections, with attributable inline quotes from X (no X auth required). Auto-enabled when digg-pp-cli is on PATH.
arXiv
The papers behind the hype. New research in the window, free, no API key. Auto-enabled when arxiv-pp-cli is on PATH (first-run setup installs it).
Techmeme
The tech-news editorial layer, date-windowed to your 30 days. Free, no API key. Auto-enabled when techmeme-pp-cli is on PATH (first-run setup installs it).
LinkedIn
The professional signal. Posts and articles, with articles weighted as high signal.
Meta Ads
What a brand is paying to say. Live Meta ad creatives launched this month, with copy, promo codes, and spoken transcripts.
StockTwits
Trader sentiment. Auto-activates when your topic is a ticker or crypto.
Threads
The post-Twitter text layer. Conversations from creators and brands.
Pinterest
Visual discovery. Pins, saves, and comments on products and ideas.
Xiaohongshu (RED)
Chinese lifestyle, product, and creator signals. Requested explicitly with --search xhs when a logged-in x-mcp browser plugin or xiaohongshu-mcp service is running locally.
Bluesky
The decentralized social layer. AT Protocol posts from the post-Twitter migration.
Perplexity
Controlled Agent API synthesis, OpenRouter Sonar fallback, raw Search API rows, and explicit Deep Research.
DEV Community (dev.to)
Developer articles and top comments through the public, keyless API. Opt in with --devto-tags, --search devto, or INCLUDE_SOURCES=devto.
Truth Social
Posts searched with TRUTHSOCIAL_TOKEN; available when authenticated.
Telegram
Public posts from named channels. Opt-in; requires SCRAPECREATORS_API_KEY and a channel list. No keyword discovery.
Trustpilot
Company TrustScore, review count, and an AI summary of customer feedback. Opt-in; requires trustpilot-pp-cli on PATH and a usable session.
Amazon
Product ratings, prices, and customer reviews. Opt-in; requires an authenticated brightdata CLI and uses your Bright Data credits.
DripStack
Financial newsletters and analyst writeups through a public, keyless API. Opt in with --search dripstack or INCLUDE_SOURCES=dripstack.
Jobs / careers pages
Public job postings as evidence of a company's focus. Selected with --hiring-signals, --search jobs, or the research plan.
Local corpus
Your local Markdown and text files, plus PDFs when pdftotext is on PATH. Opt in with --corpus or LAST30DAYS_CORPUS_DIRS.
Web
The editorial coverage, the blog comparisons. One signal of many, not the only one.
Ask /last30days to include the sources you need. Availability depends on credentials, installed tools, the topic, and explicit opt-ins. See source requirements for configuration.
A Reddit thread with 1,500 upvotes is a stronger signal than a blog post nobody read. A TikTok with 3.6M views tells you more about what's culturally relevant than a press release. Polymarket odds backed by $66K in volume are harder to argue with than a pundit's guess.
The synthesis ranks by what real people actually engaged with. Social relevancy, not SEO relevancy.
What people actually use it for
Before a meeting./last30days Peter Steinberger - joined OpenAI's Codex team, fighting Anthropic's ban on third-party agents, 23 PRs merged at 85% merge rate on GitHub, building LobsterOS for cross-device agent control. r/ClaudeCode: "Ever since OpenClaw released, it was widely known that if you run it through anything other than the API, you were gonna get banned eventually" (227 upvotes). That's not on LinkedIn.
To read hiring signals./last30days Listen Labs --hiring-signals - current jobs and careers pages become cited evidence for focus shifts: hiring into enterprise security, customer success, infrastructure, or product expansion. The report says what the hiring appears to signal, not what the roadmap will ship.
To find the topic before it peaks. Ask /last30days what's exploding in AI agents? and the skill switches to discovery mode: the engine sweeps Reddit category listings, Hacker News front/best stories, Digg's AI and Tech feeds, and X when authenticated; your agent judges the nominations (names, junk filtering, content-worthiness) and writes podcast / X-article angles; then you get 5-10 velocity-ranked topics. Every result includes cross-source numbers, a momentum label, and a ready-to-run /last30days "<topic>" follow-up.
When something drops./last30days Kanye West - UK blocked his visa, Wireless Festival canceled, sponsors fled. But BULLY debuted #2 on Billboard. Fantano came back from his "Yay sabbatical" to review it (653K views). SoFi Homecoming brought out Lauryn Hill and Travis Scott for 44 songs. Polymarket: "Will Kanye tweet again?" 86% Yes. 23 Reddit threads, 17 YouTube videos, 86K upvotes.
To compare tools./last30days OpenClaw vs Hermes vs Paperclip - "These aren't competitors, they're layers." OpenClaw is the executor (351K GitHub stars, live), Hermes is the self-improving brain (31K stars), Paperclip is the org chart (49K stars). Star counts pulled live from the GitHub API, not stale blog posts. Side-by-side table with architecture, memory, security, best-for. Per @IMJustinBrooke: "OpenClaw = Charmander, Hermes = Charizard."
To understand the world./last30days Iran vs USA - Day 38 of the war. Trump's Tuesday deadline for Iran to reopen the Strait of Hormuz. Two US warplanes downed. Oil at $126/barrel. The IEA called it "the largest supply disruption in the history of the global oil market." Polymarket: ceasefire by Dec 31 at 74%. 27 X posts, 10 YouTube videos, 20 prediction markets.
Before a trip./last30days Universal Epic Universe - Expansion already under construction. "Project 680" permit filed. Fireworks show confirmed by infrastructure but unannounced. Wait times: Mine-Cart Madness averaging 148 minutes. No annual pass yet, and locals are frustrated. Stardust Racers down for refurbishment through April 5.
To learn something fast./last30days Nano Banana Pro prompting - JSON-structured prompts are replacing tag soup. @pictsbyai's nested format prevents "concept bleeding." Edit-first workflow beats regeneration. Then it writes you a production prompt using exactly what the community said works.
What's new
See the latest release for the current published version and CHANGELOG.md for version-by-version changes. Unreleased changes on the default branch are recorded in changelog.d/.
This README describes the current source tree; your installed version may differ.
Install
Surface
Install
Updates
Claude Code (recommended)
/plugin marketplace add mvanhorn/last30days-skill
Auto via marketplace, or claude plugin update last30days@last30days-skill
Grok (xAI Build CLI)
grok plugin marketplace add mvanhorn/last30days-skill then grok plugin install last30days
grok plugin update last30days
Codex, Cursor, Copilot, Gemini CLI, or any of 50+ Agent Skills hosts
npx skills add mvanhorn/last30days-skill -g
npx skills update last30days -g
claude.ai (web)
Download last30days.skill and upload via claude.ai > Customize > Skills > + > Create skill > Upload a skill
Recommended because the Claude Code marketplace handles updates for you — the plugin cache is versioned and auto-refreshes when a new release publishes. Run claude plugin update last30days@last30days-skill to force a check.
If you'd rather use the agent-skills install path on Claude Code, that's also supported:
npx skills add mvanhorn/last30days-skill -g -a claude-code
The native plugin and the npx skills install can coexist. Note that Claude Code does not dedupe across install methods: if you have both the marketplace plugin and the npx skills copy active, /last30days will show two entries. Use one install method per machine.
Grok (xAI Build CLI)
Grok Build (grok) installs last30days as a native plugin. Direct install tracks the repository:
grok plugin install mvanhorn/last30days-skill
Or add this repo as a marketplace source, then install by plugin name:
Add --trust to skip the install confirmation. Update with grok plugin update last30days. Grok also reads the Claude Code manifests for compatibility; the native .grok-plugin/ pair is the first-class lane (and what an official xAI marketplace listing points at). npx skills add remains a valid cross-host fallback. On Grok Bot, X works out of the box through the bot's built-in X tools, then the bot's X connector, with the official X API (X_BEARER_TOKEN) as backup.
Codex, Cursor, Copilot, Gemini CLI, and other Agent Skills hosts
Install via the open Agent Skills CLI — supports 50+ harnesses including codex, cursor, github-copilot, gemini-cli, claude-code, windsurf, cline, continue, roo, aider-desk, opencode, goose, and more (full list on the vercel-labs/skills repo).
npx skills add mvanhorn/last30days-skill -g
The -g (global) flag installs to your user directory so the skill is available across all projects. Without -g, npx skills installs project-locally into ./.skills/ (committed with the repo). For a research-the-world tool, global is what you want.
Codex desktop and other folder-mode hosts can work in ordinary folders as well as Git repos. To inspect what a run would read and write without starting research, run the bundled scripts/last30days.py --preflight from the loaded skill directory; in a source checkout, the equivalent command is python3 skills/last30days/scripts/last30days.py --preflight. It shows the config source, browser-cookie plan, planned writes, optional commands, and ignored project config without reading cookies, writing files, or running research. First-run setup does not require it.
By default this installs for whichever harness npx skills detects. To target a specific one (or multiple):
npx skills add mvanhorn/last30days-skill -g -a codex
npx skills add mvanhorn/last30days-skill -g -a cursor
npx skills add mvanhorn/last30days-skill -g -a gemini-cli
npx skills add mvanhorn/last30days-skill -g -a codex -a cursor
Update later with:
npx skills update last30days -g
Or update everything you've installed globally via npx skills:
npx skills update -g
List and remove with npx skills list -g and npx skills remove last30days -g.
Click the + button in the Skills panel > click on Create skill > Upload a skill and browse/drop the file in
Enable "Code execution and file creation" under Capabilities first — skills won't run without it.
Claude Desktop
Claude Desktop installs /last30days as an MCP server via a .mcpb bundle (a one-click Model Context Protocol package).
Go to the latest release and download the .mcpb for your platform:
macOS Apple Silicon: last30days-pp-mcp-darwin-arm64.mcpb
macOS Intel: last30days-pp-mcp-darwin-amd64.mcpb
Linux x86_64: last30days-pp-mcp-linux-amd64.mcpb
Open Claude Desktop, go to Settings > Extensions, and drag the file in.
When prompted, paste API keys for the sources you want to enable. Every field is optional — the engine degrades to web-only mode if you skip them all. Keys are stored in your OS keychain.
Restart Claude Desktop. Ask Claude to "research Peter Steinberger" or any topic and it will call the research tool.
Host requirement: Python 3.12+ on PATH. The bundle ships the engine source but uses your local Python interpreter. Install from python.org on Windows; macOS and most Linux distros ship a compatible version.
Keys don't sync with the Code skill. Claude Desktop and Claude Code maintain separate credential stores by design. If you already configured ~/.config/last30days/.env for the Code skill, you'll re-enter the same keys here once.
Windows support is deferred until per-platform manifest entry points are sorted out; track in a follow-up issue.
OpenClaw
clawhub install last30days-official
For X/Twitter action workflows outside /last30days research, such as posting
tweets or replies, follower export, media handling, monitors, and giveaway
draws, use TweetClaw as the companion
OpenClaw plugin. TweetClaw is maintained by Xquik-dev and is listed only as an
optional companion path, not a last30days dependency or endorsement.
The symlink keeps the install in sync with your working tree as you edit — no re-copy needed. For claude.ai, build the .skill file from source: bash skills/last30days/scripts/build-skill.sh produces dist/last30days.skill.
Reddit (with comments), Hacker News, Polymarket, and GitHub work immediately. Zero configuration. Run /last30days once and the setup wizard unlocks more sources in 30 seconds, including the free arXiv and Techmeme CLIs.
Bring your own keys
These platforms don't have relationships with each other. X doesn't know what Reddit thinks. YouTube doesn't see TikTok. But you can bring your own API keys and browser tokens, and suddenly you have access to all of them at once.
Set X_BEARER_TOKEN for the official X API (recent posts, about the last week, unless your X developer project has full-archive access; a backup on Grok Bot after the bot's built-in X tools, opt-in elsewhere with LAST30DAYS_X_BACKEND=xapi), or log into x.com in any browser, or set XQUIK_API_KEY / XAI_API_KEY
X API credits come from your X developer project; browser cookies are free; other keys are provider-specific
Run a logged-in x-mcp browser plugin or xiaohongshu-mcp service and opt in with --search xhs per run or INCLUDE_SOURCES=xiaohongshu in .env; last30days auto-probes http://localhost:18060 then http://host.docker.internal:18060, or use XIAOHONGSHU_API_BASE for a custom URL
No last30days API key; depends on your local browser-session service
DripStack (premium financial newsletters)
Opt-in: --search dripstack per run, or INCLUDE_SOURCES=dripstack in .env
No key; free public search API
Perplexity Agent API / Search API / Deep Research
Perplexity key, or OpenRouter key as Sonar fallback
Pay as you go; a direct key enables Agent API and background Deep Research
Web search
Brave Search key
2,000 free queries/month
macOS Keychain (optional)
On macOS you can store keys in the system Keychain instead of a .env file. The skill picks them up automatically as the lowest-priority source — .env files and process environment still win on collision.
# Interactive setup — prompts for each known key, skip with empty input
skills/last30days/scripts/setup-keychain.sh
# Or store a single key by hand
security add-generic-password -a "$USER" -s last30days-XAI_API_KEY -w "xai-..."
# Inspect / clean up
skills/last30days/scripts/setup-keychain.sh --list
skills/last30days/scripts/setup-keychain.sh --delete XAI_API_KEY
Items are stored under service name last30days-<KEY> for the current user. On non-Darwin platforms the loader is a no-op, so there is no behaviour change for Linux/Windows users.
Already have keys under different Keychain service names? Set the non-secret LAST30DAYS_KEYCHAIN_ALIASES mapping described in CONFIGURATION.md instead of copying secrets.
See CONFIGURATION.md for the full per-source key matrix, reasoning provider priority, and web-search backend priority.
Configuration
Two things you'll likely want to know on day one:
Where research files are saved.LAST30DAYS_MEMORY_DIR defaults to ~/Documents/Last30Days/ (Windows: C:\Users\<you>\Documents\Last30Days\). Override by setting that env var to any path in your shell, or --save-dir <path> per run. Use --output <file> when you need the rendered result at an exact path, using the format selected by --emit. Use --save-suffix=<name> to keep multiple variations of the same topic separate (e.g. per client). Each --save-dir run produces <slug>-raw[-suffix].md. Optionally run python3 skills/last30days/scripts/last30days.py --preflight to review planned writes without starting research.
Structured output for agents and workflows. Ask /last30days for machine-readable JSON to receive the stable, versioned agent profile. For direct engine use in scripts or development, run python3 skills/last30days/scripts/last30days.py "AI coding agents" --emit=json; add --json-profile=raw only when you need the unversioned internal Report dump. See the JSON export field reference and versioning policy.
Topic-less discovery. Ask /last30days what's trending in AI agents? to get a ranked discovery brief instead of researching a topic you already know - on an agent host this runs the three-command host-judged protocol (the model names topics, filters junk, scores worthiness, and writes the content angles). For direct engine use in scripts or cron, run python3 skills/last30days/scripts/last30days.py --discover "AI agents" (one-shot: deterministic topic names, no angles); add --emit=json for the versioned discovery contract. Discovery is mutually exclusive with a positional topic and --drill.
Trend monitoring across runs. The default mode produces a fresh markdown snapshot per run. To accumulate findings over time, add --store to persist into a SQLite database, then use scripts/watchlist.py for scheduled runs (with optional Slack / webhook delivery on new findings) and scripts/briefing.py for daily / weekly digests. The full cadence pattern is in CONFIGURATION.md.
A subscribable research library. Ask /last30days to build your library feed, or use python3 skills/last30days/scripts/last30days.py library feed directly for scripting and development. It turns saved briefs into index.html, a local Atom feed.xml, and readable brief pages. Add --publish only when you want the HTML index and brief pages hosted; publishing is explicit opt-in and public by default. To make the Atom feed subscribable, host the generated output directory on a static host such as GitHub Pages.
Search everything you've researched. Ask /last30days search my library for MCP servers or /last30days have I researched MCP servers before?. For direct engine use, run python3 skills/last30days/scripts/last30days.py library search "MCP servers". Search is offline and deterministic: it incrementally indexes the same saved briefs used by the library feed, merges matching per-run store sightings, and groups results by topic and date. Fresh runs also surface a compact From your library section when prior research overlaps the current topic; set LAST30DAYS_LIBRARY_CONTEXT=off to disable that passive context.
Per-client wrapper scripts, custom category-peer subreddits, and the experimental beta channel for in-progress customizations are also documented in CONFIGURATION.md.
Showcase: community research feeds
Published a recurring AI update, market watch, or wonderfully narrow obsession with last30days? Share the public library URL—or the Atom URL after hosting feed.xml on a static host—in the community showcase thread. Community feeds will be linked here as their owners submit them; the thread is the collection point in the meantime.
How it works
You type a topic. Person, company, product, technology, "X vs Y." Anything.
The agent resolves who matters. Finds X handles (including founders), GitHub repos, subreddits, TikTok hashtags, YouTube channels. For "Kanye West" it knows r/hiphopheads, @kanyewest, and "bully review" on YouTube. For "OpenClaw" it resolves openclaw/openclaw on GitHub and fetches live star counts.
All sources searched in parallel. Multi-query expansion. Results scored by engagement, relevance, freshness.
The depth nobody else has. Full YouTube transcripts from reaction videos. Top Reddit comments with upvote counts. TikTok captions. Polymarket odds. Not just titles and links.
Same story, merged. Wireless Festival announced on Reddit, discussed on X, ticket prices on TikTok = one cluster, not three separate items.
Synthesized into one brief. Grounded in specific data. Cited by source. Ranked by what people actually engage with. Not "here's what I found." It's "here's what matters."
Then it becomes your expert. After one run, your Claude session knows everything the community knows. Ask follow-up questions. Have it write prompts, draft emails, plan trips, architect systems - all grounded in what's real right now.
What people are saying
"I found a Claude Code skill that researches any topic across Reddit, X, YouTube, and HN from the last 30 days. Then writes the prompts for you. I've been manually searching Reddit and X for research before every piece of content I write. Tab by tab. Thread by thread. That's the part that takes 90 minutes. This eliminates it." -@itsjasonai
"This one skill replaced my entire research workflow. You give it a topic, it scrapes Reddit, X, and the web for what people are actually talking about. Not old blog posts. Real conversations from the last 30 days." -@itswilsoncharles
"5 of the 10 trending repos on GitHub today are Claude tools. #1: mvanhorn/last30days-skill" -@yieldhunter95
Open source
MIT license. No tracking. No analytics. Your research stays on your machine (see Data handling below).
By default the skill runs entirely on your machine — no data leaves except to the search APIs you call (Reddit, ScrapeCreators, etc.).
Reranking. When you configure a reasoning provider (OPENAI_API_KEY, XAI_API_KEY, OPENROUTER_API_KEY, GOOGLE_API_KEY, GEMINI_API_KEY, or GOOGLE_GENAI_API_KEY), the engine sends your research topic and retrieved content snippets to that provider for relevance scoring. This is opt-in: if you set no reasoning key, the engine falls back to a local scoring model and no external reranking call is made. See CONFIGURATION.md for provider priority.
Local store. When LAST30DAYS_STORE=1 is set, findings are persisted to a local SQLite database named research.db inside the effective save directory (--save-dir takes precedence over LAST30DAYS_MEMORY_DIR). If no save directory is in effect, the database is ~/.local/share/last30days/research.db. Enabling the store does not upload its database to a remote service. See CONFIGURATION.md for retention details and purge instructions, including stopping database users before deletion.
