cgh-classify

Human-trainable confidentiality classification for cgh. You label a few files, a lightweight local model (TF-IDF + naive Bayes, standard library only) generalizes to the rest, and the egress gate and guard enforce the result. Nothing ever leaves the machine.

pip install cgh-classify
cgh classify label payroll.xlsx            # mark confidential
cgh classify label README.md --not         # mark public
cgh classify train                         # fit + sweep the repo
cgh classify review                        # files the model is unsure about
cgh findings --key confidential

How labels and predictions interact

Source	Finding written	Effect on the egress gate
Human label, confidential	`confidential = true` (block)	blocked everywhere
Human label, public	`confidential = false`	allowlisted, including strict mode
Model prediction, confidential	`confidential = true` (block)	blocked everywhere
Model prediction, public	`confidential.predicted = false`	no effect

The asymmetry is deliberate: a model may block on its own say-so (worst case, a false positive costs a summary), but only a human label can clear a file in mode = "secure", where the gate is an allowlist.

Configuration

[plugin.classify]
# threshold = 0.7      # predict confidential above this probability
# uncertain_low = 0.35 # review window lower bound
# uncertain_high = 0.65

Your labels are the asset: they live in .codegraph/classify_labels.json, the trained model in .codegraph/classify_model.json, both machine-local and cheap to retrain (cgh classify train is instant on thousands of files).

Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

cgh_classify-0.1.3.tar.gz (9.8 kB view details)

Uploaded Aug 5, 2026 Source

Built Distribution

If you're not sure about the file name format, learn more about wheel file names.

The dropdown lists show the available interpreters, ABIs, and platforms. Enable javascript to be able to filter the list of wheel files.

cgh_classify-0.1.3-py3-none-any.whl (9.3 kB view details)

Uploaded Aug 5, 2026 Python 3

File details

Details for the file cgh_classify-0.1.3.tar.gz.

File metadata

Download URL: cgh_classify-0.1.3.tar.gz
Upload date: Aug 5, 2026
Size: 9.8 kB
Tags: Source
Uploaded using Trusted Publishing? Yes
Uploaded via: twine/7.0.0 CPython/3.13.14

File hashes

Hashes for cgh_classify-0.1.3.tar.gz
Algorithm	Hash digest
SHA256	`f71e2944e1bc0e5d2e5d0cecc7b83cc73780533741d34992493542074fc6095d`
MD5	`e0ec112e85921a96a0005325bd476340`
BLAKE2b-256	`291945636d2e4d633b84ae79d62c4ce201c0c623fa1eecad36452ed4633485f2`

See more details on using hashes here.

Provenance

The following attestation bundles were made for cgh_classify-0.1.3.tar.gz:

Publisher: release.yml on altikva/cgh

Attestations: Values shown here reflect the state when the release was signed and may no longer be current.

Statement:
- Statement type: https://in-toto.io/Statement/v1
- Predicate type: https://docs.pypi.org/attestations/publish/v1
- Subject name: cgh_classify-0.1.3.tar.gz
- Subject digest: f71e2944e1bc0e5d2e5d0cecc7b83cc73780533741d34992493542074fc6095d
- Sigstore transparency entry: 2349708444
- Sigstore integration time: Aug 5, 2026
Source repository:
- Permalink: altikva/cgh@b2c7aaf6ff5bc42ab9118f2f76ba25e96f288b6d
- Branch / Tag: refs/tags/v0.11.0
- Owner: https://github.com/altikva
- Access: public
Publication detail:
- Token Issuer: https://token.actions.githubusercontent.com
- Runner Environment: github-hosted
- Publication workflow: release.yml@b2c7aaf6ff5bc42ab9118f2f76ba25e96f288b6d
- Trigger Event: push