github re-analysis due

FerroxLabs/ijfw

IJFW — It Just F*cking Works. Ferrox Labs' local-first infrastructure for AI coding agents: shared memory, smart routing, multi-AI cross-audits, disciplined workflow.

maintainer: FerroxLabs
license: MIT
first seen: 2026-06-10
last seen: 2026-06-11
releases · 30d: 5
short id

risk 32/100 · heuristic grade

B low

capability exposureinferred+35
trust mitigatorsmixed−3

inferredmixed

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 9m ago · see ecosystem CVEs →

risk trajectory 1 movements

1d agoA · 0 → B · 32

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 a1681a3 · analyzer v17 · 1d ago

skills & prompt files 109

embed badge readme-ready

[![MCP Observatory risk grade](https://mcpobservatory.com/servers/github:FerroxLabs/ijfw/badge.svg)](https://mcpobservatory.com/servers/github:FerroxLabs/ijfw/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 FerroxLabs.

FerroxLabs/ijfw

skills & prompt files 109

Navigate

Stream

Display