mvanhorn/last30days-skill: README-based editorial guide

mvanhorn/last30days-skill describes itself in the README as "AI agent skill that researches any topic across Reddit, X, YouTube, HN, Polymarket, and the web - then synthesizes a grounded summary". This article keeps to facts that can be checked in the repository. Stars, forks, and promotional badges are signals of attention, not proof of quality. Under "/last30days", the README says: An AI agent-led search engine scored by upvotes, likes, and real money - not editors.. That establishes the project's stated boundary, not a production test.

The README's "Claude Desktop" section gives a useful starting point for deciding whether the project fits: macOS Intel: last30days-pp-mcp-darwin-amd64.mcpb. If that problem is not yours, popularity is a poor reason to adopt it. Project names, commands, and component names are kept as written so a reader can return to the primary source without guessing at terminology. Another checkable README item is: macOS Apple Silicon: last30days-pp-mcp-darwin-arm64.mcpb. It can shape a first test, but it does not replace testing in the intended environment.

The operating model is spread across sections such as "/last30days". The source evidence includes: Claude Code (recommended , auto-updates via marketplace):. This article does not turn missing architecture, performance, or security details into claims. A real deployment still needs a look at the repository layout, configuration files, and release history.

Start installation from the README's documented entry point. A command that can be checked in the source is: git clone https://github.com/mvanhorn/last30days-skill.git ln -s "$(pwd)/last30days-skill/skills/last30days" ~/.claude/skills/last30days When the README contains no runnable command, this article does not invent one. Open its "Why this exists" section and confirm system dependencies, default ports, and first-run initialization before using a public server.