by reyamira
TUI and CLI for browsing AI models, benchmarks, coding agents, and statuses for AI providers.
# Add to your Claude Code skills
git clone https://github.com/reyamira/modelsLast scanned: 5/20/2026
{
"issues": [],
"status": "PASSED",
"scannedAt": "2026-05-20T07:44:17.519Z",
"semgrepRan": false,
"npmAuditRan": true,
"pipAuditRan": true
}models is an open-source ai agents skill for AI coding assistants such as Claude Code, Codex CLI, and ChatGPT, built by reyamira. TUI and CLI for browsing AI models, benchmarks, coding agents, and statuses for AI providers. It has 450 GitHub stars.
Yes. models passed SkillsLLM's automated security scan — a dependency vulnerability audit plus prompt-injection heuristics — with no high-severity issues. You can read the full report in the Security Report section on this page.
Clone the repository with "git clone https://github.com/reyamira/models" and add it to your Claude Code skills directory (see the Installation section above).
models is primarily written in Rust. It is open-source under reyamira on GitHub, so you can review or fork the full source.
Yes. SkillsLLM lists many other AI Agents skills you can browse and compare side by side. Open the AI Agents category from the badge at the top of this page, or use the Related Skills and comparison links further down to weigh models against similar tools.
No comments yet. Be the first to share your thoughts!
TUI and CLI for browsing AI models, benchmarks, coding agents, and provider statuses.

default_tab config — launch the TUI straight into your tab of choicenix run downloads instead of compilingbrew install models
cargo install modelsdev
nix run github:reyamira/models
nix profile install github:reyamira/models
The flake is available directly from GitHub tags and branches; it is not currently published to FlakeHub or nixpkgs.
scoop install extras/models
paru -S models-bin
Pre-built binaries, .deb, and .rpm packages are available on GitHub Releases. See the Installation wiki page for all methods, shell completions, and command aliases.
models
Navigate with arrow keys, switch tabs with [/], search with /, and press ? for context-aware help. Mouse works too — click a row to select it, click a panel to focus it, and scroll with the wheel. See Getting Started for a full walkthrough.
Three-column layout with providers, model list, and rich detail panel. RTFO capability indicators, 6 filter keys, sort by name/date/cost/context, cross-provider search, and copy-to-clipboard.
Models wiki page • CLI: models list, models show, models search, models providers

Curated catalog of 12+ agents with automatic version detection, GitHub release tracking, styled changelogs with search and match navigation, and live service health from provider status pages.
Agents wiki page • CLI: agents status, agents <tool>, agents latest, agents list-sources

~1,000 entries across 4 switchable data sources (Artificial Analysis, Epoch AI, Arena, LLM Stats) with quality indexes, Elo ratings, speed, and pricing. Compare mode with head-to-head tables, scatter plots, and radar charts. Choose visible metric columns, cycle a field-average/peer-average/rank comparator in the detail panel, and refresh any source in-app. Filter by creator, region, type, reasoning, and open/closed source.
Benchmarks wiki page • CLI: models benchmarks list, models benchmarks show

Live health monitoring for 22 AI providers across 7 status page platforms. Overall dashboard with health gauge, incident and maintenance cards. Provider detail with grouped services, incidents, and scheduled maintenance.
Status wiki page • CLI: models status list, models status show, models status status
Full documentation lives in the wiki:
| Page | Description |
|---|---|
| Installation | All install methods, shell completions, command aliases |
| Getting Started | First launch, navigation, basic usage |
| Models | Models tab and CLI commands |
| Agents | Agents tab and CLI commands |
| Benchmarks | Benchmarks tab and CLI commands |
| Status | Status tab and CLI commands |
| Configuration | Config file, custom agents, tracked providers |
| Data Sources | Where the data comes from |
| Architecture | Internal design for contributors |
| Contributing | How to contribute |
data/agents.json — contributions welcome!Contributions are welcome! Please read the Contributing Guide before submitting a PR.
This project follows the Contributor Covenant Code of Conduct.
MIT