z4nzu/hackingtool · Architecture
A static read of how z4nzu/hackingtool is wired together — module coupling, layering, and circular dependencies — derived from its import graph.
A
Architecture grade
score 99/100
0
Import cycles
lower is better
80
Modules parsed
174 edges
98%
Layeredness
clean-layer ratio
Most-depended-on modules
These are the highest-fan-in files — change them and the blast radius is largest. Read them first.
- src/hackingtool/core.py39 importers · radius 45
- src/hackingtool/__init__.py18 importers · radius 58
- src/hackingtool/engagement.py11 importers · radius 19
- src/hackingtool/config.py10 importers · radius 19
- src/hackingtool/cli.py9 importers · radius 9
- src/hackingtool/constants.py9 importers · radius 58
- src/hackingtool/findings.py9 importers · radius 20
- src/hackingtool/ai_recommend.py6 importers · radius 53
Modules (4)
Source directories grouped from the import graph. Each links to a per-module page with its files and how it couples to the rest.
- src/hackingtool24 files · 141 in-degree
- src/hackingtool/tools21 files · 23 in-degree
- src/hackingtool/tools/others10 files · 10 in-degree
- tests18 files · 0 in-degree
Ask AI about z4nzu/hackingtool
Grounded in the actual source code. Pick a starter question or write your own.
What does this repo do, in one paragraph?How would I get started using it?What are the main alternatives?Show me the entry point.
Or write your own questionInformational only. RepoPilot summarises public signals at the time of analysis; they can be incomplete or stale. Not professional, security, or legal advice.