Repository Audit on SoloSoft

739,705 Stars, 13 Megabytes: I Validated All 73 SKILL.md Files in the Three Biggest Agent-Skills Repos

Sat, 26 Sep 2026 00:00:00 +0000

GitHub Trending on 26 September 2026 is topped by an application: paperclipai/paperclip, 84,938 stars and 2,109 of them gained in a single day, 7,806 tracked files, 120 MB of TypeScript. But the largest single concentration of stars in the agent tooling ecosystem is not an application at all. It is three folders full of Markdown.

obra/superpowers (291,663 stars), mattpocock/skills (269,725) and anthropics/skills (178,317) hold 739,705 stars between them for 13.0 MB of tracked content — of which just 3.4 MB is Markdown. Together they define 73 skills: 348 Markdown files, 65,966 lines, 497,932 words.

Those 73 skill definitions are supposed to conform to one format, the Agent Skills specification published at agentskills.io, which ships a reference validator. So I cloned all three repositories, installed the validator from PyPI, and ran it against every skill directory. The result is not what the star counts would lead you to expect:

Hindsight, Audited: 27,776 Stars, 64 Watchers, and a 'Neutral' Benchmark That Lives in the Vendor's Own Org

Fri, 25 Sep 2026 00:00:00 +0000

On September 25, 2026, vectorize-io/hindsight was the second-fastest-growing repository on GitHub Trending with 1,668 stars gained in a single day — the highest velocity on that page, measured against 56,546-star leaders that collected 347. The repository, “Hindsight: Agent Memory That Learns,” now sits at 27,776 stars and 2,681 forks.

It also has 64 watchers.

That is not a typo and it is not a rounding artefact: GitHub’s own page reports “Stars 27.8k · Watchers 64 watching,” and the REST API agrees. Sixty-four people have asked GitHub to notify them when this project changes. The same day, the repository’s only Hacker News submissions — three of them, total, across eleven months — scored 4, 4 and 3 points.

Google's AX, Audited: 9,045 Stars, a 3-Day-Old Rewrite, and MCP Support That Ends at mkdir

Thu, 24 Sep 2026 00:00:00 +0000

On September 20, 2026, a Hacker News submission titled “AX – Google’s Open Agentic Orchestrator” reached 661 points and 299 comments. It did not link to GitHub. It linked to agentexecutor.io, a marketing site with an animated terminal and the sentence “Scales up to billions of tasks.” The repository behind it, google/ax, now sits at 9,045 stars, 434 forks and 39 open issues, and on September 24 it was the second-fastest-growing repository on GitHub Trending with 1,543 stars gained in a single day — the highest daily velocity of anything on the board that day.

It is worth being precise about what AX is, because the confusion is the point. AX is not an agent framework. It is a declarative control plane that turns “run this agent in a sandbox” into a kubectl-shaped workflow: you write ax.io/v1alpha1 YAML describing a Task, a Workspace, a Gateway and a Model, and AX drops them into a Kubernetes cluster where a stripped-down runtime called Agent Substrate executes them as checkpointable actors.

36,921 Stars, 85% Markdown: An Audit of Anthropic's Financial-Services Agent Repository

Wed, 23 Sep 2026 00:00:00 +0000

On September 23, 2026, anthropics/financial-services sat at #1 on GitHub Trending with 36,921 stars, 665 of them gained that day, ahead of Univer (16,310 stars, 1,140 gained) and a dozen other fast-moving projects. The pitch is compelling: named end-to-end agents for investment banking, equity research, private equity, fund administration and KYC — installable as Claude Cowork plugins or deployable as Claude Managed Agents behind your own workflow engine.

I cloned it, read it, ran its own checks, and pulled independent benchmark data on what LLMs can actually do with financial analysis. The result is not a takedown. It is a specific picture of what this repository is: an unusually well-researched domain knowledge base wearing the costume of a software platform — and the difference matters a great deal if you plan to point it at a live model.