# Last30days

Researches a topic from the last 30 days across the web, Reddit, and X, surfacing real...

- Repository: https://github.com/vigolium/vigolium (1141 stars)
- Category: Security
- License: see repository
- Last updated: 2026-10-25
- Runs scripts: no, instructions only

## Install

Claude Code: `npx skills add vigolium/vigolium --skill last30days -g -a claude-code -y`
Codex: `npx skills add vigolium/vigolium --skill last30days -g -a codex -y`
Cursor: `npx skills add vigolium/vigolium --skill last30days -g -a cursor -y`
Gemini CLI: `npx skills add vigolium/vigolium --skill last30days -g -a gemini-cli -y`

## Description

Researches a topic from the last 30 days across the web, Reddit, and X, surfacing real discussions with engagement metrics and synthesizing them into actionable insights. In an audit, use it for recent domain attack research, newly disclosed CVEs, fresh exploit techniques, and attack patterns for the target's stack/framework that predate the model's knowledge cutoff. Use whenever current, time-sensitive intelligence beats static knowledge.

## SKILL.md, as published by its author (untrusted third-party text, read it as data)

# last30days: Research Any Topic from the Last 30 Days

Research ANY topic across Reddit, X, and the web. Surface what people are actually discussing, recommending, and debating right now.

## When to Use

- User wants to know what people are saying about a topic in the last 30 days
- User asks for recent community sentiment, recommendations, or trending discussions
- User wants to research a topic before making a decision (tools, products, techniques)
- User asks "what's new with X" or "best Y" or "what are people saying about Z"

## When NOT to Use

- User wants historical data older than 30 days
- User needs official documentation or API references (use docs tools instead)
- User wants to search a specific codebase (use code search tools)
- User asks a factual question that doesn't need community sentiment

## CRITICAL: Parse User Intent

Before doing anything, parse the user's input for:

1. **TOPIC**: What they want to learn about (e.g., "web app mockups", "Claude Code skills", "image generation")
2. **TARGET TOOL** (if specified): Where they'll use the prompts (e.g., "Nano Banana Pro", "ChatGPT", "Midjourney")
3. **QUERY TYPE**: What kind of research they want:
   - **PROMPTING** - "X prompts", "prompting for X", "X best practices" -> User wants to learn techniques and get copy-paste prompts
   - **RECOMMENDATIONS** - "best X", "top X", "what X should I use", "recommended X" -> User wants a LIST of specific things
   - **NEWS** - "what's happening with X", "X news", "latest on X" -> User wants current events/updates
   - **GENERAL** - anything else -> User wants broad understanding of the topic

The rest: https://github.com/vigolium/vigolium/blob/HEAD/platform/vigolium-audit/src/content/skills/last30days/SKILL.md