Andrew Warner and Adam Brakhane run through the week’s ten trending GitHub repos in 26 minutes, and the list is mostly guardrails: something that reviews the code your agent wrote, something that makes its answers short enough to read, something that keeps its context clean, and two skill packs that hand it an engineering process instead of hoping it has one.

The top 10

  1. Open Code Review (36.6k stars) — Alibaba’s code-review tool, number one this week. Deterministic pipelines plus an LLM agent, line-level comments, and built-in rules for the classic bug classes (null pointers, thread safety, XSS, SQL injection). It ships a CLI and agent skills, and Andrew’s pitch is wiring it into a Git hook so every commit gets checked before it lands. The demo he cites: someone deliberately planted a plaintext password, and the tool found it, then produced a full HTML report from one command.
  2. I Have ADHD (48k stars) — still growing, and the hosts keep coming back to it. One skill file that tells your coding agent to keep answers short and scannable. Andrew shows a before-and-after from the Claude web app where a slash command turns a wall of text into something readable — and Adam’s reason it keeps mattering is that the models themselves are getting more verbose.
  3. God’s Eye View (37.8k stars) — open data on a photorealistic 3D globe: TomTom traffic, public CCTV cameras you can click into live, aircraft overhead. Also distributed as a plain installable app, so you don’t have to assemble it from source.
  4. ECC (262k stars) — the biggest number on the list. A workflow pack that encodes planning, test-driven development and review as commands you invoke rather than advice you remember. Adam’s framing: it injects decades of engineering habits into a session, which matters most to people who never picked those habits up.
  5. Context Mode (23.5k stars) — a sandbox for tool output. Instead of your main session loading fifteen files to answer one question, a side session does the searching and hands back the answer, and that noisy conversation gets discarded. The advertised figure is 98% less context clutter; the caveat the hosts add is the useful part — compress something the model actually needed and it re-requests the full context, which is expensive on a long conversation.
  6. WeKnora (27k stars) — Tencent’s knowledge platform. Point it at your files and it builds a queryable RAG, a self-maintaining wiki and a knowledge graph. Adam’s description is the clearest one on the episode: Obsidian plus RAG plus AI plus a graph database, where the links between people, meetings and projects get built for you.
  7. OpenAI Plugins (7k stars) — 62 plugins written for Codex, each bundling an integration together with the skills and scripts that make the integration useful. Claude will either convert them or bridge them through a connector, and Adam’s advice is to install from the platform you actually use.
  8. Worktrunk (8k stars) — a CLI for Git worktrees, the feature that gives you several checked-out copies of the same project side by side on disk. Creating, listing, merging and deleting a worktree each become one short command, which is what makes running several agents on the same repo practical.
  9. Agent Skills (96.4k stars) — Addy Osmani’s pack of 25 skills that the hosts single out because it is one ordered workflow (spec, plan, build, test, review, ship) rather than a pile of unrelated files. Adam’s point: most people skip straight to build, and test and review are the two steps that get dropped.
  10. Claude Code (146.3k stars) — the repo exists, the code does not. Adam’s read: it gives people a normal place to file bugs and lets Anthropic track issues internally, so it is a repository minus the source.

The skills vote

  • Last week the hosts asked viewers whether to keep covering skills at all. The result was 32 keep to 9 kill, with strong feelings on both sides, and Warner says he spent a Saturday trying to answer the comments individually.
  • The argument that moved the conversation: skills matter most for the less capable models. A frontier model already knows how to run test-driven development; a local or open-weight model may need the steps spelled out.
  • Warner’s middle position: even a skill he never installs shows him the creator’s mental model. He also cut a separate video on the most-installed skills according to Vercel, whose CLI is how many of them get installed.
  • The verdict for the format: skills stay in the roundup while they keep trending.

Plugin security

  • Adam’s distinction: a skill is text and the model stays in charge. A plugin can ship scripts and code, and installing one means handing over your files, your source and your keys.
  • His rule: install plugins from the vendors — OpenAI or Anthropic — and treat third-party plugin marketplaces the way you treat installing unfamiliar software.

Viewer submissions

  • Logic Loop (12 stars) — one workspace for several concurrent agent sessions. The premise on screen: with five agents running, the thing that breaks is your memory, not theirs.
  • Claude Dashboard (5 stars) — a local board for every Claude Code session on a machine: live sessions, transcripts, costs, git status, and which one is stuck.
  • Deck Gauge (4 stars) — one board over Jira, GitHub, GitLab and Azure DevOps with DORA metrics. Warner pushed back on pulling tasks out of Jira, then made the case for it anyway.
  • Campus AIOS (10 stars) — an AI staff in one folder: a chief of staff plus departments that remember your business.
  • Reckoner (47 stars) — a credits and billing dashboard across AI providers, still climbing since it got its first star on the show last week.

“Why not just give each of those agents its own little playground where it can have its own copy of the code, test it itself, edit it, and then once the feature is done, merge all of them back into your one main branch?” — Adam on Git worktrees

Every entry answers the same question in a different place: you are not reading the code your agent writes, so what is checking it? The skills packs set the process, Context Mode protects the context, and Open Code Review and Worktrunk each handle one way agents trip over each other.