Metadata-Version: 2.4
Name: phantomdep
Version: 1.0.1
Summary: Local-first dependency firewall for AI coding agents. Catches hallucinated, squatted, and malicious packages before they reach your repo.
Author: Open Intelligence Labs
License: MIT
Project-URL: Homepage, https://github.com/openintelligence-labs/phantomdep
Project-URL: Source, https://github.com/openintelligence-labs/phantomdep
Project-URL: Issues, https://github.com/openintelligence-labs/phantomdep/issues
Keywords: security,supply-chain,ai,slopsquatting,dependency,phantom
Classifier: Development Status :: 4 - Beta
Classifier: Environment :: Console
Classifier: Intended Audience :: Developers
Classifier: License :: OSI Approved :: MIT License
Classifier: Operating System :: MacOS
Classifier: Operating System :: POSIX :: Linux
Classifier: Operating System :: Microsoft :: Windows
Classifier: Topic :: Security
Classifier: Topic :: Software Development :: Quality Assurance
Requires-Python: >=3.9
Description-Content-Type: text/markdown

# phantomdep (PyPI)

```bash
pip install phantomdep
phantomdep doctor
```

Thin Python package that bundles the precompiled [PhantomDep](https://github.com/openintelligence-labs/phantomdep) binary so `pip install phantomdep` works for the Python audience without requiring a Rust toolchain.

For the full docs see the [main README](https://github.com/openintelligence-labs/phantomdep#readme).

## How it works

The release pipeline produces one wheel per (os, arch) target. Each wheel ships the matching `phantomdep` binary at `phantomdep/bin/`. The `phantomdep` console script in this package `os.execv`'s into that binary with the user's args.
