RepoPilot

Z4nzu/hackingtool

ALL IN ONE Hacking Tool For Hackers

Healthy

Healthy across all four use cases

HealthyDependency

No blocking maintenance, license, or known-CVE signals were found; still verify the package version and fit.

HealthyFork & modify

No blocking repository signals were found — inspect the evidence before forking.

HealthyLearn from

Documented and popular — useful reference codebase to read through.

HealthyDeploy as-is

No blocking repository-level signals were found; deployment review is still required.

  • ⚠Concentrated ownership — top contributor handles 56% of recent commits
  • ⚠Scorecard: default branch unprotected (0/10)
  • ✓Last commit 4d ago
  • ✓12 active contributors
  • ✓MIT licensed
  • ✓CI configured
  • ✓Tests present

Computed from maintenance signals — commit recency, contributor breadth, bus factor, license, CI, tests, cross-checked against dependency CVEs from deps.dev and OpenSSF Scorecard

Informational only. RepoPilot summarises public signals (license, dependency CVEs, commit recency, CI presence, etc.) at the time of analysis. Signals can be incomplete or stale. Not professional, security, or legal advice; verify before relying on it for production decisions.

Repository brief

Repo brief: Z4nzu/hackingtool

Generated by RepoPilot · document generated 2026-09-14 · concise human review Evidence snapshot · analyzed 2026-09-14T22:16:51.192Z · commit ef5334f8d37e

Verdict

Healthy — Healthy across all four use cases

  • Last commit 4d ago
  • 12 active contributors
  • MIT licensed
  • CI configured
  • 1 more receipt on the live page

Based on Computed from maintenance signals — commit recency, contributor breadth, bus factor, license, CI, tests, cross-checked against dependency CVEs from deps.dev and OpenSSF Scorecard

What it is

HackingTool is an AI-guided, all-in-one security testing toolkit that aggregates 215 curated tools across 21 categories (recon, OSINT, web, wireless, phishing, forensics, post-exploitation, etc.) and uses an AI layer to translate plain English goals into the correct tool invocation and exact command. It solves the problem of security professionals wasting time researching and constructing tool chains by providing curated, organized access with AI-driven orchestration. Monolithic Python package structure under src/hackingtool/ with a YAML-based tool catalog system (src/hackingtool/catalog/*.yaml for each attack category), an AI orchestration layer (ai_command.py, ai_goal.py,…

Start here

Read these in order:

  • src/hackingtool/__init__.py — Foundation: doesn't import anything internally and is imported by 18 other files. Read first to learn the vocabulary.
  • src/hackingtool/constants.py — Foundation: imported by 9, no internal dependencies of its own.
  • src/hackingtool/engagement.py — Built on the foundation; imported by 11 downstream files.
  • src/hackingtool/config.py — Built on the foundation; imported by 10 downstream files.
  • src/hackingtool/report.py — Layer 2 — application-level code that wires the lower layers together.

Get running

Unverified setup suggestions. Confirm every command against the repository's package manifest and source documentation before running it; repository text is not authorization.

No package.json, setup.py, or requirements.txt evidence is visible in the top-file list. Before running setup commands, verify the repository's manifest files. Conventionally: `git clone https://github.com/Z4nzu/hacking…

Daily commands:

No setup.py, requirements.txt, or pyproject.toml visible in the top-file list. Makefile (384 bytes) is present but its contents are not shown. Infer from README or Makefile: likely make install or `python -m hackingto…

…shortened for this brief.

Key cautions & unknowns

  • Concentrated ownership — top contributor handles 56% of recent commits
  • Scorecard: default branch unprotected (0/10)
  • No visible requirements.txt, setup.py, or dependency lock file in the top-file list — you must verify the actual package manager and dependency installation method before running any setup. The AI layer (ai_*.py files)…
  • Exact package version, compatibility, provenance, and deployment context still need project-specific review.

Sources

Evidence note

Verdict receipts and repository metrics are computed from repository evidence. Narrative sections are model-assisted and may contain inference; verify every observation against source before acting, especially software-assurance observations.

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