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BEE

BEE is a CLI for vetting AI/ML model artifacts before they enter your environment. It establishes an artifact's identity, detects its real structural format (never trusting the file extension), and flags mismatches between the two.

This is early — 0.1, the foundation release. It covers local-file identity and format detection only. Real static security analysis (pickle call-graph analysis, SafeTensors bounds checks, GGUF metadata inspection, and more), provenance, supply-chain checks, licensing, and policy enforcement are planned in later releases — see docs/superpowers/specs for the design behind where this is headed.

Install

pip install bee-guard

or, for local development:

git clone https://github.com/Aj7Ay/BEE.git
cd BEE
uv sync

Usage

# Initialize a workspace in the current directory
bee init

# Scan a file or directory
bee scan ./models

# Inspect a single artifact in detail
bee inspect ./models/model.safetensors

# JSON output, for scripting or CI
bee scan ./models --format json

Example

$ bee scan ./models
BEE SCAN
Target: models
Artifacts scanned: 2
┏━━━━━━━━━━━━━━━━━━━┳━━━━━━━━┳━━━━━━┳━━━━━━━━━━┓
┃ PATH              ┃ FORMAT ┃ SIZE ┃ FINDINGS ┃
┡━━━━━━━━━━━━━━━━━━━╇━━━━━━━━╇━━━━━━╇━━━━━━━━━━┩
│ models/model.gguf │ gguf   │ 16   │ -        │
│ models/weights.pt │ numpy  │ 24   │ 1        │
└───────────────────┴────────┴──────┴──────────┘
Findings: 0 critical, 0 high, 1 medium, 0 low, 0 info

weights.pt is flagged (BEE-FMT-001) because its extension claims PyTorch but the file is structurally a NumPy array — exactly the kind of mismatch a renamed or mislabeled artifact would produce.

What BEE detects today

Structural signatures for: SafeTensors, GGUF, NumPy, HDF5/Keras, Pickle, PyTorch (zip-based), ONNX (heuristic), and generic zip/tar/gzip archives. Anything else is reported as unknown rather than guessed.

Development

uv sync
uv run pytest -v

License

Apache License 2.0 — see LICENSE.

Release files for bee-guard 0.1.0

For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.

Source distribution (sdist)

Source distribution for bee-guard 0.1.0
File Size Uploaded
bee_guard-0.1.0.tar.gz 26.7 kB Details

Built distribution (wheel)

Table of built distributions (wheels) for bee-guard 0.1.0
File Interpreter ABI Platform
bee_guard-0.1.0-py3-none-any.whl Python 3 none any Details

Total release size: 43.2 kB

Release files / bee_guard-0.1.0.tar.gz

Download URL bee_guard-0.1.0.tar.gz
Size 26.7 kB
Tags Source
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ffd92989f8b824e3422b2713efc8805398711261cb6b6c738a0e8991d79498f7
BLAKE2b-256 checksum
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248e3181b929e25adf52ff2845e2ceca31d32ff5317c92cb75eb500f76a81de8
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Uploaded via twine/7.0.0 CPython/3.13.14

Provenance

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Signed by GitHub Actions, verified by PyPI on Sep 11, 2026.

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Release files / bee_guard-0.1.0-py3-none-any.whl

Download URL bee_guard-0.1.0-py3-none-any.whl
Size 16.5 kB
Tags Python 3
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How to use checksums
250a9ad45adac884ed1ca66bbc81400f62ec012331a7d3a4b9fbcb358aa7b9c3
BLAKE2b-256 checksum
How to use checksums
8550b766d95095023b2671401b4b564c41e216da50ae99bc360c69765b64d513
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Uploaded using Trusted Publishing?
What is trusted publishing?
Yes
Uploaded via twine/7.0.0 CPython/3.13.14

Provenance

Provenance describes where a file came from. On PyPI, provenance is shared via attestations, which provide a verifiable record of the build or publishing details. View details, limitations and caveats.

PyPI Publish Attestation

PyPI verified that this artifact, at this checksum, originated from the publisher listed below.

Signed by GitHub Actions, verified by PyPI on Sep 11, 2026.

Transparency log

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