github Python analyzed 167e9e2

evalstate/fast-agent

github

Code, Build and Evaluate agents - excellent Model and Skills/MCP/ACP/A2A Support

maintainer
evalstate
license
Apache-2.0
first seen
2026-06-01
last seen
2026-08-01
releases · 30d
6
short id
risk 59/100 · heuristic grade
C elevated
  • vulnerabilities attested + 7
  • capability exposure inferred + 35
  • recent drift inferred + 20
  • tool safety inferred + 5
  • trust mitigators mixed − 8

attested 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 36s ago · see ecosystem CVEs →

risk trajectory 3 movements
  • C · 52 C · 59
  • C · 44 C · 52
  • A · 0 C · 44
capability exposure grade factor +35
Inferred surface — each links to servers holding it:
vulnerabilities 1 CVEs · grade factor +7
MEDIUM
`fast-agent serve` binds HTTP to 0.0.0.0 with no authentication by default; with --shell this is una … affects ["<= 0.7.20"]
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 167e9e2 · analyzer v28 · 1d ago

skills & prompt files 4

danger signals2

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