github Python analyzed 1d7edf4 deep scan · partial (168/1,641 files)

no-human-ai/no_human

github

From ticket to reviewed pull request. Free and open-source, on your machine.

maintainer
no-human-ai
licence
MIT
first seen
2026-08-19
last seen
2026-09-17
releases · 30d
15
short id
risk 36/100 · heuristic grade
C elevated inferred analyzer v33 (current)
  • capability exposure inferred + 35
  • tool safety inferred + 12
  • trust mitigators mixed − 11

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 1 movements
  • C · 44 C · 36
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

    committed secret: Anthropic key · dynamic exec: pickle.loads(), __import__ sink, 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 1d7edf4 · analyzer v33 · 25m ago

skills & prompt files 3

danger signals18

embed badge readme-ready
live risk-grade badge preview [![MCP Observatory risk grade](https://mcpobservatory.com/servers/github:no-human-ai/no_human/badge.svg)](https://mcpobservatory.com/servers/github:no-human-ai/no_human/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 no-human-ai.