MCP Observatory
4m ago Tracked 54,096 Last 4m ago 24h 2,438
github JavaScript analyzed 800d081

apexradius/agentic-os

github

A portable, instance-agnostic framework for building, coordinating, and running AI agents.

maintainer
apexradius
license
MIT
first seen
2026-06-21
last seen
2026-07-20
releases · 30d
0
short id
risk 32/100 · heuristic grade
B low inferred analyzer v33 (current)
  • capability exposure inferred + 35
  • 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 10h ago · see ecosystem CVEs →

risk trajectory 7 movements
  • C · 44 → B · 32
  • C · 52 → C · 44
  • C · 57 → C · 52
  • D · 64 → C · 57
  • D · 67 → D · 64
  • C · 59 → D · 67
  • A · 0 → C · 59
capability exposure grade factor +35
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 800d081 · analyzer v33 · 1w ago

skills & prompt files 99

embed badge readme-ready
live risk-grade badge preview [![MCP Observatory risk grade](https://mcpobservatory.com/servers/github:apexradius/agentic-os/badge.svg)](https://mcpobservatory.com/servers/github:apexradius/agentic-os/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 apexradius.