auto-research vs RigorLoop Research Bounties
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). RigorLoop Research Bounties is an MCP server published by rigorloop.com. Marketplaces we read that list it: 1 (Official MCP Registry). As of our marketplace pass on 2026-10-25. 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 |  RigorLoop Research Bounties |
|---|---|---|
| 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 Version: 1.0.0 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 | RigorLoop Research Bounties |
|---|---|---|
| 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 (rigorloop.com/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 | github.com/brianross93/bountyhunter |
| 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 6 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.
RigorLoop Research Bounties
Search and commission verified human research review through funded Research Bounties.
How to run each
auto-research As a Claude Code plugin
/plugin marketplace add anthropics/claude-plugins-community
/plugin install auto-research@claude-communityRigorLoop Research Bounties As a remote MCP server
claude mcp add --transport http research-bounties https://rigorloop.com/mcp --header "Authorization: Bearer <YOUR_TOKEN>"Requires: Authorization header
Commands built only from what the marketplaces declare; the full set for every client is on each card.
Only RigorLoop Research Bounties 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: RigorLoop Research Bounties · 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.