github Python analyzed d9e69c5

jakbuczarnecki/intergrax

github

Source-available Harness AI / Agent OS for teams building governed agent applications - with Nexus orchestration, policy-controlled tools, RAG, memory, trace/evidence, HITL, and runtime boundaries.

maintainer
jakbuczarnecki
license
NOASSERTION
first seen
2026-06-05
last seen
2026-08-01
releases · 30d
0
short id
risk 67/100 · heuristic grade
D high
  • capability exposure inferred + 35
  • 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 4m ago · see ecosystem CVEs →

risk trajectory 3 movements
  • C · 59 D · 67
  • C · 35 C · 59
  • A · 0 C · 35
capability exposure grade factor +35
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: Slack token · dynamic exec: pickle.loads(), __import__()

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

analyzed commit d9e69c5 · analyzer v28 · 2d ago

skills & prompt files 20

danger signals15

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