AI agent skill that researches any topic across Reddit, X, YouTube, HN, Polymarket, and the web - then synthesizes a grounded summary
github.com/mvanhorn/last30days-skillIndexed at 5103ba4Up to date with upstream
`last30days-skill` is a codebase documentation engine that powers `/last30days`: it ingests user prompts plus source evidence (Reddit, X, arXiv, Techmeme, Digg, Trustpilot, and more), runs an indexing + relevance-scored extraction pipeline, and outputs a renderer-ready “brief” that’s served through an MCP server and consumed by editor/agent hosts as an OpenAI Codex-native plugin. In practice, users invoke it in an agent or editor (e.g., `/last30days Peter Steinberger`) and the system returns meeting-ready intelligence grounded in community-ranked sources.
Written by gpt-5.4-nano from the index
434 files and 9,497 symbols in 4 modules, led by Python (342 files) and Go (11).
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Code health
This codebase scores 6.3 out of 10 for code health, which we rate fair. It also scores maintainability 6.7 and static performance 9.5 out of 10. The three are scored separately and never blended into one number. Risk is concentrated, as it usually is: 59 of 434 files are git hotspots, and they average 4.1 — which is where the fixes pay off most.
On the leaderboards:#32 of 44 Python repos
2 things worth doing in the week to Oct 1, the last indexed commit, 2 of them now.
Clean up what this week's commits left: 5 serious findings in 4 files
2 commits in the last 7 days added or worsened them, and they are still open. Start with skills/last30days/scripts/last30days.py, which has 1 critical.
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https://api.repowise.dev/mcp/mvanhorn/last30days-skillOne command, run anywhere. Adds the server to your local Claude Code config.
Docsclaude mcp add --transport http repowise https://api.repowise.dev/mcp/mvanhorn/last30days-skill \ --header "Authorization: Bearer rw_live_xxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxx"
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[](https://repowise.dev/repo/mvanhorn/last30days-skill?src=badge_card)last30days-skill is an AI agent skill for researching topics across community and web sources and producing a grounded summary. It combines source evidence with relevance scoring and agent-led synthesis. The project is primarily written in Python, with a Go MCP server.
Written by a model from the README and the index
User prompts enter through the skill scripts in skills/last30days/scripts, which provide command dispatch, onboarding, and local persistence setup. Source-specific collectors and shared engine components in skills/last30days/scripts/lib shape queries, apply relevance rules, handle dates, and support HTTP, logging, schemas, and rendering. skills/last30days/scripts/lib/pipeline.py coordinates the indexing and extraction flow. skills/last30days/scripts/lib/render.py turns collected evidence into a renderer-ready brief. skills/last30days/scripts/lib/env.py manages environment-related setup, while skills/last30days/scripts/lib/youtube_yt.py handles YouTube collection. The Go entry point mcp/cmd/last30days-pp-mcp/main.go registers MCP tools, and mcp/internal/engine/run.go provides the engine runtime used by the MCP server.
AI agent skill that researches any topic across Reddit, X, YouTube, HN, Polymarket, and the web - then synthesizes a grounded summary This page is a map of the mvanhorn/last30days-skill repository, written primarily in Python, rebuilt from the source each time it is indexed. Repowise parses every symbol, computes a dependency graph, scores per-file code health from complexity, duplication, test coverage and churn, mines git history for hotspots and ownership, and lifts the architectural decisions into documentation you can read here or query through MCP.
The codebase has 434 files and 9,497 symbols in 4 modules, led by Python, Go and Shell. Code health is 6.3 out of 10, rated fair.
Use the links above to open each view, or connect this repository to your agent for grounded answers inside Claude, Cursor, Codex or VS Code.
/plugin marketplace add mvanhorn/last30days-skill/plugin install last30daysnpx skills add mvanhorn/last30days-skill -g/last30days Peter SteinbergerCommands copied from the README
last30days-skill is an AI agent skill that researches topics across social, community, video, prediction-market, and web sources. It synthesizes source evidence into a grounded brief.
last30days-skill ingests a user prompt, searches sources in parallel, scores and extracts relevant evidence, and renders a synthesized brief. An MCP server exposes the engine to agent and editor hosts.
last30days-skill can be installed through the Claude Code marketplace or with npx skills add mvanhorn/last30days-skill -g. The Claude Code commands are /plugin marketplace add mvanhorn/last30days-skill and /plugin install last30days.
last30days-skill is primarily written in Python, with Go and shell also present. Its MCP server uses Go.
last30days-skill places orchestration scripts in skills/last30days/scripts and shared engine components in skills/last30days/scripts/lib. The MCP server is under mcp, and tests are under tests.
last30days-skill is for people researching current topics, meetings, hiring signals, trips, tools, emerging trends, and practical questions. Users invoke it from an agent or editor with a query.
last30days-skill uses the MIT license.
Answers written by a model from the README and the index