github TypeScript analyzed 9129c5a

ArasaniRohithReddy/LearningOS

LearningOS (Drona) — an AI Learning Operating System for GitHub Copilot: 129 specialist agents, 510 reusable skills, 122 role configs, and a VS Code extension that teaches instead of just answering.

maintainer: ArasaniRohithReddy
licence: MIT
first seen: 2026-08-08
last seen: 2026-08-09
releases · 30d: 0
short id

risk 19/100 · heuristic grade

B low inferred analyzer v33 (current)

capability exposure inferred + 22
trust mitigators mixed − 3

inferred mixed

The A–E grade is our heuristic synthesis — a "review this" prompt, not a verdict. Each factor is tagged by what backs it: attested (a verifiable record), reported (a third party's claim), or inferred (our own heuristic, e.g. permissions). See methodology.

grade last moved 1w ago · see ecosystem CVEs →

risk trajectory 1 movements

3w ago A · 0 → B · 19

capability exposure grade factor +22

Inferred surface — each links to servers holding it:

vulnerabilities 0 CVEs

No known CVEs for this server.

tool safety all quiet

No tool-safety findings — heuristic detectors run on the compute-risk cadence; a finding appears when a tool trips a rule.

skills & danger signals github-tarball

prompt-surface shipped agent-instruction files + hidden-content / dangerous-code findings — quoted from the analyzed source

analyzed commit 9129c5a · analyzer v33 · 3w ago

skills & prompt files 200

embed badge readme-ready

[![MCP Observatory risk grade](https://mcpobservatory.com/servers/github:ArasaniRohithReddy/LearningOS/badge.svg)](https://mcpobservatory.com/servers/github:ArasaniRohithReddy/LearningOS/security)

Heuristic, inferred signals — false positives (legitimately powerful tools, forks, language ports) are expected. Treat each as "review this", not a verdict. See the ecosystem-wide picture on the security hub, or the fleet security of ArasaniRohithReddy.

ArasaniRohithReddy/LearningOS

skills & prompt files 200

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