github Python re-analysis due

Abidemialade/mylonite

v0.2.0
github

Open-source AI-layer security testing — probes your AI agent for weaknesses and writes a validated regression test for each one it finds, gating CI.

maintainer
Abidemialade
licence
Apache-2.0
first seen
2026-08-24
last seen
2026-09-15
releases · 30d
10
short id
risk 25/100 · heuristic grade
B low inferred analyzer v33 (current)
  • capability exposure inferred + 22
  • tool safety inferred + 12
  • trust mitigators mixed − 9

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 3d ago · see ecosystem CVEs →

risk trajectory 1 movements
  • B · 31 B · 25
capability exposure grade factor +22
Inferred surface — each links to servers holding it:
vulnerabilities 0 CVEs

No known CVEs for this server.

tool safety 1 findings · grade factor +12
  1. high dangerous code

    committed secret: Anthropic key

skills & danger signals github-tarball
prompt-surface shipped agent-instruction files + hidden-content / dangerous-code findings — quoted from the analyzed source

analyzed commit 4861414 · analyzer v33 · 4d ago

danger signals3

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