功能描述

Deep research across Reddit, X/Twitter, Hacker News, YouTube, Polymarket, and the web from the last 30 days. Synthesizes findings into a grounded, cited brie...

使用说明 (SKILL.md)

last30 — Research Any Topic from the Last 30 Days

Name: Last30 Deep Research
Author: ralph-oei

Attribution: Simplified port of mvanhorn/last30days-skill (v2.9.5) by @mvanhorn. Original uses ScrapeCreators API for Reddit/TikTok/Instagram; this port uses free public APIs (Reddit JSON, HN Algolia, Brave Search) for a lightweight, zero-API-key setup.

Research any topic across Reddit, X/Twitter, Hacker News, YouTube, Polymarket, and the web. Surface what people are actually discussing, recommending, debating, and betting on right now.

Trigger Phrases

/last30 [topic]
research [topic]
what's trending in [topic]
[topic] vs [topic]
/last30days [topic]

Prerequisites

BRAVE_API_KEY env var must be set (web search)
AUTH_TOKEN + CT0 env vars (optional, for X search via bird)
summarize skill available for YouTube transcripts

Parse User Intent

Before running any tools, parse the input:

TOPIC: What they want to learn about
QUERY_TYPE:
- RECOMMENDATIONS — "best X", "top X", "what X should I use"
- NEWS — "what's happening with X", "X news"
- COMPARISON — "X vs Y", "X versus Y"
- GENERAL — anything else

Display your parsing:

📰 Researching: {TOPIC}
Type: {QUERY_TYPE}
Sources: Reddit, X, Hacker News, YouTube, Polymarket, Web

Starting research (2-5 min)...

Quick Mode

Use --quick for faster, fewer results:

10 results per source instead of 25

Deep Mode

Use --deep for comprehensive research:

40 results per source
Full synthesis

Usage Examples

/last30 AI video tools
/last30 best CRM software
/last30 figma vs canva
/last30 openai news --deep
/last30 rust vs go --quick

How It Works

Reddit — queries reddit.com/r/[subreddit]/search.json by relevance
X/Twitter — uses bird (xurl) for recent posts
Hacker News — queries hn.algolia.com API
YouTube — runs summarize skill for video transcripts
Polymarket — queries polymarket.com API for active prediction markets related to the topic
Web — Brave Search API

Results are scored by engagement signals, cross-platform convergence is detected, and a synthesis is generated with inline citations.

Output Format

📰 Research: {TOPIC}
Date: {date} | Sources: Reddit, X, HN, YouTube, Web

## Key Findings
- [3-5 bullet points with citations]

## What People Are Saying
[Synthesis of top findings across all sources]

## YouTube Insights
[Video titles, channels, key moments]

## Reddit Discussions
[Top threads, top comments, upvote counts]

## X/Twitter Perspective
[Key posts, handles, engagement]

## Polymarket Insights
[Active prediction markets, consensus odds, question clarity]

## Web Findings
[News, blogs, tutorials discovered]

## Stats
- Reddit: {n} results
- X: {n} results
- HN: {n} results
- YouTube: {n} results
- Polymarket: {n} results
- Web: {n} results

Saved to: ~/Documents/Last30Days/{topic-slug}.md

Environment Variables

Variable	Required	Purpose
`BRAVE_API_KEY`	Yes	Brave Search for web results
`AUTH_TOKEN`	No	X/Twitter cookie auth for bird
`CT0`	No	X/Twitter cookie auth for bird

Auto-Save

Every run saves a .md file to ~/Documents/Last30Days/ with the full briefing. Filename: {topic-slug}-{date}.md

安全使用建议

This skill largely does what it says (searches public APIs and synthesizes findings) but there are multiple packaging inconsistencies you should consider before installing: - BRAVE_API_KEY is required for web and YouTube searches; despite an earlier claim of "zero-API-key setup," the skill needs that key. If you don't want to provide a Brave key, web/YouTube searches will be skipped. - The skill will optionally use AUTH_TOKEN and CT0 (X cookies) if set — those are sensitive session cookies. Only set them if you trust the environment and intend to allow X searches. If you don't set them, X searches are skipped. - The manifest lists 'node' as a required binary but the included script appears to be Python-only; conversely, the script calls the external 'bird' CLI for X searches but 'bird' is not listed as a required binary. Confirm whether you need to install 'bird' and drop the unused 'node' requirement. - The skill auto-saves results to ~/Documents/Last30Days/, creating files for every run. If you prefer not to persist data there, change SAVE_DIR in the script or run in a sandboxed environment. - The SKILL.md references using a separate 'summarize' skill for YouTube transcripts but does not declare or automate that dependency; if you rely on transcript summarization, verify how that integration works. Recommendations: - Inspect scripts/research.py locally to confirm no hidden endpoints; the code shown uses only public endpoints (Reddit, hn.algolia, Brave, Polymarket) and a call to the 'bird' CLI. If you are not comfortable, run the script without setting AUTH_TOKEN/CT0 to avoid providing X cookies. - Provide a Brave API key with minimal scope and rotate it if you stop using the skill. - If you want to proceed, ask the author to correct the manifest (remove node if unused, add 'bird' if required, and clarify the zero-key claim) or patch the script to match your desired behavior. Confidence: medium — the issues look like sloppy packaging and documentation rather than malicious intent, but the mismatches (credentials, binaries, saving behavior) warrant caution.

功能分析

Type: OpenClaw Skill Name: last30 Version: 1.1.1 The skill provides research capabilities by querying multiple web APIs and executing an external CLI tool named 'bird' to fetch X/Twitter data. It is classified as suspicious because it passes sensitive credentials (AUTH_TOKEN and CT0) as command-line arguments in scripts/research.py, which can expose them to other users on the system via process monitoring. Additionally, the skill requires broad network access and file system write permissions (to ~/Documents/Last30Days), which are high-risk capabilities that, while functional for the stated purpose, meet the threshold for a suspicious classification under the provided criteria.

能力评估

ℹ Purpose & Capability

The skill's purpose (30-day multi-source research) matches the code: it queries Reddit, Hacker News, Polymarket, Brave Search and optionally X via the 'bird' CLI. However there are mismatches: SKILL.md claims a "zero-API-key setup" in one place but also declares BRAVE_API_KEY as required for web searches; the package lists required binaries (python3, node) but the Python script only uses python3 and an external 'bird' binary (not declared). Requiring node appears unnecessary for the stated functionality.

ℹ Instruction Scope

Runtime instructions and script are focused on web/social search and synthesis. They do write output to disk (~/Documents/Last30Days/) on every run; that persistence is documented but should be noticed. SKILL.md also references a separate 'summarize' skill for YouTube transcripts but does not declare that dependency or how it's invoked. The script will call an external 'bird' CLI when X auth vars are set; the SKILL.md notes optional AUTH_TOKEN/CT0 but the binary dependency for bird is missing from the declared required binaries.

✓ Install Mechanism

This is instruction-only plus a shipped Python script; there is no install specification that downloads and executes remote archives. That reduces install-time risk (nothing is automatically fetched/installed by the skill itself).

⚠ Credentials

The skill requires BRAVE_API_KEY (reasonable for Brave Web Search) and optionally AUTH_TOKEN and CT0 for X — those cookies can be sensitive and are optional but will be used if present. The manifest also requires 'node' for no clear reason. The declaration that this is zero-API-key conflicts with the actual BRAVE_API_KEY requirement. Requesting X cookie auth (AUTH_TOKEN/CT0) is proportional only if the user intends to enable X searches; it should be optional and clearly explained.

ℹ Persistence & Privilege

The script saves every run to ~/Documents/Last30Days/{topic}-{date}.md (auto-save). The skill is not always-enabled and does not request elevated platform privileges. Persisting files to the user's Documents folder is expected for a research export, but users should be aware and may want to change the save path or review what is written.

版本历史

v1.1.1

Added Polymarket search — surfaces active prediction markets and consensus odds for the topic

v1.1.0

Port from original last30days-skill using free public APIs (Reddit JSON, HN Algolia, Brave Search); added Reddit recommendations mode; improved scoring; added quick/deep modes

元数据

Slug last30

版本 1.1.1

许可证 MIT-0

累计安装 0

当前安装数 0

历史版本数 2

常见问题

Last30 Deep Research 是什么？

Deep research across Reddit, X/Twitter, Hacker News, YouTube, Polymarket, and the web from the last 30 days. Synthesizes findings into a grounded, cited brie... 它是一个面向 Claude Code / OpenClaw 的 AI Agent Skill 插件，目前累计下载 243 次。

如何安装 Last30 Deep Research？

在 OpenClaw 或 Claude Code 对话框中运行命令「/install last30」即可一键安装，无需额外配置。

Last30 Deep Research 是免费的吗？

是的，Last30 Deep Research 完全免费，采用 MIT-0 许可证，可自由下载、安装和使用。

Last30 Deep Research 支持哪些平台？

Last30 Deep Research 跨平台运行，可在任意部署了 OpenClaw / Claude Code 的环境中使用（cross-platform）。

谁开发了 Last30 Deep Research？

由 ralph-oei（@ralph-oei）开发并维护，当前版本 v1.1.1。

Last30 Deep Research