github Python analyzed 22072fd

agentscope-ai/agentscope-runtime

github

A production-ready runtime framework for agent apps with secure tool sandboxing, Agent-as-a-Service APIs, scalable deployment, full-stack observability, and broad framework compatibility.

maintainer
agentscope-ai
licence
Apache-2.0
first seen
2026-06-01
last seen
2026-06-04
releases · 30d
0
short id
risk 35/100 · heuristic grade
C elevated inferred analyzer v33 (current)
  • capability exposure inferred + 35
  • tool safety inferred + 5
  • trust mitigators mixed − 5

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 1w ago · see ecosystem CVEs →

risk trajectory 6 movements
  • B · 32 C · 35
  • C · 44 B · 32
  • B · 32 C · 44
  • C · 44 B · 32
  • C · 51 C · 44
  • A · 0 C · 51
capability exposure grade factor +35
Inferred surface — each links to servers holding it:
vulnerabilities 0 CVEs

No known CVEs for this server.

tool safety 2 findings · grade factor +5
  1. medium dangerous code

    dynamic exec: eval()/exec(), __import__ sink, __import__()

  2. low dangerous code

    env-secret-flows-to-network-py: An environment value reaches a network call. Review whether it is a credential leaving the process; the ordinary API-wrapper shape (read a key, call

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

analyzed commit 22072fd · analyzer v33 · 2w ago

skills & prompt files 1

danger signals4

embed badge readme-ready
live risk-grade badge preview [![MCP Observatory risk grade](https://mcpobservatory.com/servers/github:agentscope-ai/agentscope-runtime/badge.svg)](https://mcpobservatory.com/servers/github:agentscope-ai/agentscope-runtime/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 agentscope-ai.