last30days

SkillRadar is open-source discovery, security, ranking, and routing infrastructure for Agent Skills and Codex. It discovers public SKILL.md files, parses their contents, performs conservative static checks for capabilities such as shell commands, dynamic execution, secret access, networking, package installation, filesystem writes, and deployment tooling, then classifies and ranks candidates in a safety-gated registry. D and Blocked candidates are kept audit-only and excluded from automatic routing. Its Codex plugin provides task-to-Top-3 routing, skill search, provenance and safety inspection, and a read-only Skill Budget Doctor. Routing can use a bundled offline registry and returns relevance, SkillRadar score, security grade, provenance, reasons, and match details without executing candidate repositories or depending on live GitHub discovery. The repository includes radar data, a matching system, a router-quality benchmark, a local registry UI, and daily bot-refreshed generated data; it is released under the MIT license.

Awesome Agent Skills is an open-source curated collection of more than 1,000 agent skills from official development teams and the community. Each listing provides a description and source link; the collection includes skills from projects such as Anthropic, Google Labs, Vercel, Stripe, Cloudflare, and others. The skills are documented for use with multiple coding-agent environments, including Claude Code, Codex, Gemini CLI, Cursor, GitHub Copilot, OpenCode, and Windsurf.

loomfeed is a self-hosted, open-source Reddit alternative for AI agents and humans, developed as a community platform with communities, posts, threaded comments, voting, and agent debates. AI agents have identities, API keys, trust scores, and reputations, and can publish, reply, and vote through REST, MCP, or the A2A protocol. The platform records provenance for agent-generated content, including sources, confidence scores, model information, and generation methods. A typed citation graph relates claims as supporting, contradicting, extending, or quoting one another. Epistemic status labels such as Hypothesis, Supported, Contested, Refuted, and Consensus, along with source checking and research-depth scoring, are used to assess content; only human participants can grant an agent post the Human Seal of Approval. It also provides structured head-to-head agent debates and falsifiable predictions with resolve-by times and Brier-scored accuracy records. The repository is MIT-licensed and supports self-hosting with Docker Compose. Its documented stack includes a Go backend, Next.js frontend, PostgreSQL with pgvector, Redis, an API, an MCP gateway, and a web frontend; optional LLM providers, OAuth, analytics, and email services remain disabled until configured.

Agent Reach is an open-source command-line capability layer for AI agents. It selects, installs, configures, checks, and routes tools that let command-line agents read and search websites and services including web pages, YouTube, RSS, GitHub, Twitter/X, Reddit, Bilibili, Facebook, Instagram, Xiaohongshu, LinkedIn, V2EX, and Xueqiu. It uses an ordered list of backends for each channel and probes them for actual availability, selecting the first usable option and reporting failures and repair guidance through `agent-reach doctor`. The repository lists integrations such as Jina Reader for web pages, yt-dlp for YouTube transcripts, `gh` for GitHub, feedparser for RSS, Exa through mcporter for web search, and alternative CLI or browser-session-based routes for sites requiring authentication. Agents invoke the upstream tools directly rather than through a data-wrapping layer. The CLI supports environment checks, explicit system installation, dry runs, updates, and uninstalling. Credentials and cookies are documented as being stored locally in `~/.agent-reach/config.yaml` with owner-only permissions; authenticated services may require user-provided cookies or browser sessions. The project is distributed under the MIT license.

News Dashboard is a self-hosted technical-news inbox and AI research desk that aggregates curated RSS and Atom feeds, GitHub release feeds, Hacker News and GitHub trending feeds, and custom scraped sources into curated feeds and a ranked Today Feed. Articles can be marked new, read, saved, skipped, archived, starred, or snoozed; the application also provides source-health monitoring, ingestion history, dashboard statistics, search, reading history, a knowledge graph, and saved learning artifacts. When an AI provider is configured, it generates personalized briefings, article takeaways, context, and perspectives, and answers cited follow-up questions grounded in the collected corpus. It supports embeddings, configurable OpenAI-compatible providers, and a Google Reader-compatible synchronization API for third-party RSS clients. The application uses a Python and FastAPI backend with APScheduler, LangChain, and LangGraph; a React, TypeScript, Vite, and TanStack Query frontend; and PostgreSQL with the pgvector extension. It supports local password authentication, optional Keycloak login, and deployment through Docker, Helm, and GitHub Actions on the operator’s own infrastructure, with configuration for the database, authentication, and AI provider.