github Python re-analysis due deep scan · partial (196/2,825 files)

navaneeshnagarajan/FlintTrade

github

Open-source self-hosted trading software for manual, automated, algorithmic, and AI-assisted workflows.

maintainer
navaneeshnagarajan
licence
AGPL-3.0
first seen
2026-07-01
last seen
2026-09-10
releases · 30d
0
short id
risk 64/100 · heuristic grade
D high inferred analyzer v33 (current)
  • capability exposure inferred + 35
  • recent drift inferred + 20
  • tool safety inferred + 12
  • trust mitigators mixed − 3

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
  • C · 56 D · 64
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

    dynamic exec: eval()/exec(), __import__ sink, __import__(), pickle.loads()

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

analyzed commit 9c587a2 · analyzer v33 · 1h ago

skills & prompt files 2

danger signals13

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