github TypeScript analyzed 848c6da

akifbayram/openbin

github

Open source inventory with intelligence. Print labels, scan to reveal contents, and optionally plug in your own AI to do the heavy lifting: snap a photo and it names the bin and lists every item.

maintainer
akifbayram
license
AGPL-3.0
first seen
2026-08-21
last seen
2026-08-21
releases · 30d
0
short id
risk 30/100 · heuristic grade
B low inferred analyzer v33 (current)
  • capability exposure inferred + 35
  • trust mitigators mixed − 5

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 1 movements
  • C · 35 B · 30
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 848c6da · analyzer v33 · 2w ago

skills & prompt files 1

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