github Python analyzed c75f40c

EricLortie/laborforge-release

github

Docker-based, multi-tenant platform for autonomous AI agent ecosystems — runs on local or cloud models, with built-in cross-instance federation. Source-available under the PolyForm Small Business License.

maintainer
EricLortie
license
NOASSERTION
first seen
2026-07-06
last seen
2026-07-06
releases · 30d
0
short id
risk 40/100 · heuristic grade
C elevated
  • capability exposure inferred + 8
  • recent drift inferred + 20
  • tool safety inferred + 12

inferred

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.

graded 53s ago · see ecosystem CVEs →

risk trajectory 1 movements
  • B · 25 C · 40
capability exposure grade factor +8
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: OpenAI key, Anthropic key, GitHub token, private key · dynamic exec: __import__(), eval()/exec(), __import__ sink

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

analyzed commit c75f40c · analyzer v28 · 2d ago

skills & prompt files 23

danger signals52

other grade factors evidence elsewhere
embed badge readme-ready
live risk-grade badge preview [![MCP Observatory risk grade](https://mcpobservatory.com/servers/github:EricLortie/laborforge-release/badge.svg)](https://mcpobservatory.com/servers/github:EricLortie/laborforge-release/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 EricLortie.