Hf init

Dependencies

This skill requires Python 3.8+ and standard library only. No external packages needed.

To install this skill's dependencies:

pip-compile ./requirements.in
pip install -r ./requirements.txt

See ./requirements.txt for the dependency lockfile (currently empty — standard library only).

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HuggingFace Init (Onboarding)

Status: Active Author: Richard Fremmerlid Domain: HuggingFace Integration

Purpose

Sets up everything needed for HuggingFace persistence. Run this once when onboarding a new project, or whenever credentials change.

What It Does

1. Validates required .env variables are set
2. Tests API connectivity with the configured token
3. Ensures the dataset repository exists on HF Hub
4. Creates the standard folder structure (lineage/, data/, metadata/)
5. Uploads the dataset card (README.md) with configurable discovery tags

Required Environment Variables

Variable	Required	Description
HUGGING_FACE_USERNAME	✅ Yes	Your HF username
HUGGING_FACE_TOKEN	✅ Yes	API token (set in ~/.zshrc, NOT .env)
HUGGING_FACE_REPO	✅ Yes	Model repo name
HUGGING_FACE_DATASET_PATH	✅ Yes	Dataset repo name
HUGGING_FACE_TAGS	❌ No	Comma-separated discovery tags for dataset card
HUGGING_FACE_PROJECT_NAME	❌ No	Pretty name for dataset card heading
SOUL_VALENCE_THRESHOLD	❌ No	Moral/emotional charge filter (default: -0.7)

Usage

Validate Config

python ./hf_config.py

Full Init (Validate + Create Structure + Dataset Card)

python ./hf_init.py

Validate Only (No Changes)

python ./hf_init.py --validate-only

Quick Setup

# Token goes in shell profile (never committed):
export HUGGING_FACE_TOKEN=hf_xxxxxxxxxxxxx

# Project vars go in .env:
HUGGING_FACE_USERNAME=<your-username>
HUGGING_FACE_REPO=<your-model-repo>
HUGGING_FACE_DATASET_PATH=<your-dataset-repo>

# Optional customization:
HUGGING_FACE_TAGS=reasoning-traces,cognitive-continuity,your-project-tag
HUGGING_FACE_PROJECT_NAME=My Project Soul

# Run init
python ./hf_init.py