auto-research vs Zhiyong AI Technology Decision Radar
auto-research is a plugin bundle for AI coding tools published by gyoz-ai. Marketplaces we read that list it: 1 (Claude Code: claude-plugins-community). Zhiyong AI Technology Decision Radar is an MCP server published by zhiyong.dev. Marketplaces we read that list it: 1 (Official MCP Registry). As of our marketplace pass on 2026-10-22. This pair was picked by a reader, not by our comparison rule, so search engines are asked not to index the page.
Where each is published
| Marketplace |  auto-research |  Zhiyong AI Technology Decision Radar |
|---|---|---|
| Claude Code: claude-plugins-community | Listed Version: 1.0.0 Forks (GitHub): 0 Stars (GitHub): 3 Not marked · First seen |
Not listed |
| Official MCP Registry | Not listed | Listed, marked deprecated Version: 1.2.0 No figure published Not marked · First seen |
Each figure is the marketplace's own and is never added up across marketplaces. A marketplace that publishes no figure shows none: no number is not zero.
The facts side by side
| Fact | auto-research | Zhiyong AI Technology Decision Radar |
|---|---|---|
| Marketplaces that list it | 1 | 1 |
| Stars (GitHub) (differs) | 3 | No figure on GitHub |
| Forks (GitHub) (differs) | 0 | No figure on GitHub |
| Last release | Not published | Not published |
| Where it runs (differs) | Installs as a plugin bundle | Remote server (zhiyong.dev/mcp) |
| Transport (differs) | Not stated | Streamable HTTP |
| Tools it declares | Not published | Not published |
| Environment variables it asks for | Not published | Not published |
| Parts of the bundle (differs) | 1 | Not a bundle |
| Licence (differs) | MIT | Not stated |
| Repository (differs) | github.com/gyoz-ai/auto-research | Not stated |
| Changes in the last 7 days | 0 | 0 |
| First seen | 2026-10-11 | 2026-10-11 |
| Endpoint at the last check (differs) | no remote endpoint we check | Responded 3 days ago |
Lines where the two differ have a tinted background and bold values. Where the data itself says which value is better (more marketplaces, a larger figure of the same marketplace, a fresher release, a verified mark on a marketplace that lists both), the better one is also marked green with ▲ and the worse one red with ▼. Where it runs, the transport, the tools, the settings, hooks, the bundle's parts, the licence and the week's changes are marked only as different: more or fewer is not better in itself.
What each says it does
auto-research
Autonomous skill improvement through parallel research agents. Inspired by Karpathy's autoresearch methodology, it spawns 5 parallel agents (domain expert, quality auditor, competitive analyst, gap analyst, tech scout), synthesizes findings into ranked proposals, then runs an iterative keep/discard experiment loop to improve any Claude Code skill. Scores skills on 7 quality dimensions and only keeps changes that genuinely improve the composite score.
Zhiyong AI Technology Decision Radar
Read-only AI tool/model discovery with fit signals, unknowns, next tests, and public discussions.
How to run each
auto-research As a Claude Code plugin
/plugin marketplace add anthropics/claude-plugins-community
/plugin install auto-research@claude-communityZhiyong AI Technology Decision Radar As a remote MCP server
claude mcp add --transport http knowledge-graph https://zhiyong.dev/mcpCommands built only from what the marketplaces declare; the full set for every client is on each card.
Only Zhiyong AI Technology Decision Radar has a remote endpoint we check. How we check endpoints
Tools each declares
Neither one's marketplaces publish a list of tools, so there is nothing to compare.
Settings each asks for
Neither one's marketplaces publish the settings it asks for.
What it can do: auto-research · What it can do: Zhiyong AI Technology Decision Radar · Compare two other plugins
Data comes from the public marketplace file https://github.com/anthropics/claude-plugins-community/blob/HEAD/.claude-plugin/marketplace.json. Data comes from the Official MCP Registry (registry.modelcontextprotocol.io), CC0 1.0. Figures come from our own regular passes over the marketplaces, last read on . We publish no contact details for plugin publishers.