github Python analyzed f486365

Bsh13lder/Lazy-Claw

github

E2E encrypted AI agent platform — Python, native MCP, multi-agent delegation, live browser canvas, saved templates for govt appointments. Works on Claude, MiniMax, OpenAI, Ollama, or Claude CLI.

maintainer
Bsh13lder
license
MIT
first seen
2026-06-04
last seen
2026-07-31
releases · 30d
0
short id
risk 80/100 · heuristic grade
E critical
  • capability exposure inferred + 35
  • recent drift inferred + 20
  • tool safety inferred + 25

inferred

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 4m ago · see ecosystem CVEs →

risk trajectory 3 movements
  • D · 79 E · 80
  • D · 71 D · 79
  • A · 0 D · 71
capability exposure grade factor +35
Inferred surface — each links to servers holding it:
vulnerabilities 0 CVEs

No known CVEs for this server.

tool safety 4 findings · grade factor +25
  1. high dangerous code

    dynamic exec: __import__(), eval()/exec() · suspicious bundled script in 1 file(s)

  2. high hidden prompt content

    1 file(s) with hidden prompt content: Bsh13lder-Lazy-Claw-f486365/claude-bug-bounty/skills/bug-bounty/SKILL.md (hidden-directive): "ignore previous instructions"

  3. medium toxic flow (lethal trifecta)

    lethal trifecta reachable across this server's tools: private-data access + untrusted-content ingestion + network exfil

  4. low exfiltration combo

    sensitive read and network capabilities split across this server's tools

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

analyzed commit f486365 · analyzer v28 · 2d ago

skills & prompt files 12

danger signals18

other grade factors evidence elsewhere
embed badge readme-ready
live risk-grade badge preview [![MCP Observatory risk grade](https://mcpobservatory.com/servers/github:Bsh13lder/Lazy-Claw/badge.svg)](https://mcpobservatory.com/servers/github:Bsh13lder/Lazy-Claw/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 Bsh13lder.