Atomistic Skills vs SigRank SignalAF — AI Operator Cascade & Leaderboard
Atomistic Skills is a plugin bundle for AI coding tools published by Learning Matter Lab, MIT. Marketplaces we read that list it: 1 (Community GitHub marketplaces). SigRank SignalAF — AI Operator Cascade & Leaderboard is an MCP server published by SunrisesIllNeverSee. Marketplaces we read that list it: 2 (Official MCP Registry, npm registry (MCP servers)). As of our marketplace pass on 2026-11-09. 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 |  SigRank SignalAF — AI Operator Cascade & Leaderboard | |
|---|---|---|
| Community marketplace learningmatter-mit/atomisticskills | Listed Version: 2.0.0 Forks (GitHub): 35 Stars (GitHub): 186 Not marked · First seen |
Not listed |
| Official MCP Registry | Not listed | Listed Version: 1.0.47 Downloads/month (npm): 913 Downloads/week (npm): 223 Forks (GitHub): 3 Stars (GitHub): 0 Not marked · First seen |
| npm registry (MCP servers) | Not listed | Listed Version: 1.0.48 Downloads/month (npm): 913 Downloads/week (npm): 223 Forks (GitHub): 3 Stars (GitHub): 0 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 | Atomistic Skills | SigRank SignalAF — AI Operator Cascade & Leaderboard |
|---|---|---|
| Marketplaces that list it (differs) | 1 (worse) | 2 (better) |
| Stars (GitHub) (differs) | 186 (better) | 0 (worse) |
| Forks (GitHub) (differs) | 35 (better) | 3 (worse) |
| Last release (differs) | Not published | 2026-10-21 |
| Where it runs (differs) | Installs as a plugin bundle | On your machine (sigrank) |
| Transport (differs) | Not stated | stdio |
| Tools it declares | Not published | Not published |
| Environment variables it asks for (differs) | 4, secrets among them: 0 | Not published |
| Parts of the bundle (differs) | 143 | Not a bundle |
| Licence | MIT | MIT |
| Repository (differs) | github.com/learningmatter-mit/atomisticskills | github.com/sunrisesillneversee/sigrank-mcp |
| Changes in the last 7 days | 0 | 0 |
| First seen (differs) | 2026-10-26 | 2026-10-11 |
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
Atomistic Skills
Agent skills for atomistic simulation: materials science, chemistry, drug discovery, and machine-learning interatomic potentials.
SigRank SignalAF — AI Operator Cascade & Leaderboard
SigRank SignalAF on-device scanner — four-token cascade, leaderboard, 25 local tools.
How to run each
Atomistic Skills As a Claude Code plugin
/plugin marketplace add learningmatter-mit/atomisticskills
/plugin install atomistic-skills@atomistic-skillsSigRank SignalAF — AI Operator Cascade & Leaderboard As a local MCP server: npm package
claude mcp add --transport stdio sigrank-mcp -- npx -y sigrankCommands built only from what the marketplaces declare; the full set for every client is on each card.
Tools each declares
Neither one's marketplaces publish a list of tools, so there is nothing to compare.
Settings each asks for
The marketplaces of SigRank SignalAF — AI Operator Cascade & Leaderboard publish no settings it asks for, so we do not compare settings.
What it can do: Atomistic Skills · What it can do: SigRank SignalAF — AI Operator Cascade & Leaderboard · Compare two other plugins
Data comes from public marketplace files in GitHub repositories of their authors. Data comes from the Official MCP Registry (registry.modelcontextprotocol.io), CC0 1.0. Package data comes from the public npm registry (registry.npmjs.org). Figures come from our own regular passes over the marketplaces, last read on . We publish no contact details for plugin publishers.