github Python analyzed 879c88f

witwave-ai/witwave

github

Self-directed AI agents that work autonomously on software — including improving themselves. Multi-LLM, K8s-native, AI-operated open source.

maintainer
witwave-ai
licence
Apache-2.0
first seen
2026-06-04
last seen
2026-09-03
releases · 30d
0
short id
risk 69/100 · heuristic grade
D high inferred analyzer v33 (current)
  • capability exposure inferred + 35
  • recent drift inferred + 20
  • tool safety inferred + 17
  • 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 9 movements
  • D · 61 D · 69
  • C · 49 D · 61
  • D · 61 C · 49
  • D · 69 D · 61
  • D · 61 D · 69
  • D · 69 D · 61
  • D · 76 D · 69
  • D · 68 D · 76
  • A · 0 D · 68
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 +17
  1. high hidden prompt content

    2 file(s) with hidden prompt content: witwave-ai-witwave-879c88f/.agents/self/finn/.claude/CLAUDE.md (skill-exfil), witwave-ai-witwave-879c88f/.agents/self/finn/.claude/skills/gap…

  2. 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 879c88f · analyzer v33 · 1w ago

skills & prompt files 110

danger signals5

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