github Python analyzed 0dcfbcf

CocoRoF/geny-executor

github

Manifest-driven 21-stage agent pipeline for Python — 5 LLM backends (Anthropic / OpenAI / Google / vLLM / Claude Code CLI), tools, skills, memory, sandboxed CLI runs, MCP. The engine behind Geny. Apache-2.0.

maintainer
CocoRoF
license
Apache-2.0
first seen
2026-07-07
last seen
2026-07-30
releases · 30d
33
short id
risk 57/100 · heuristic grade
C elevated
  • capability exposure inferred + 35
  • recent drift inferred + 20
  • tool safety inferred + 5
  • 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.

graded 42s ago · see ecosystem CVEs →

risk trajectory 1 movements
  • C · 49 C · 57
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 +5
  1. medium dangerous code

    dynamic exec: eval()/exec()

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

analyzed commit 0dcfbcf · analyzer v28 · 2d ago

skills & prompt files 10

danger signals8

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