Getting it into your agent
One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.
npx agentmods add skills/richfrem/agent-plugins-skills/hf-initnpx skills add richfrem/agent-plugins-skills --skill hf-initgit clone --depth 1 https://github.com/richfrem/agent-plugins-skillsWrote this? Show the measurements
A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.
[](https://agentmods.dev/skills/richfrem/agent-plugins-skills/hf-init)<a href="https://agentmods.dev/skills/richfrem/agent-plugins-skills/hf-init"><img src="https://agentmods.dev/badge/skills/richfrem/agent-plugins-skills/hf-init.svg" alt="Measured on agentmods" height="20"></a>What it costs to keep this loaded
Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5 | $0.00041 | $0.00634 |
| Opus 5 | $0.00020 | $0.00317 |
| Sonnet 5 | $0.00008 | $0.00127 |
| Haiku 4.5 | $0.00004 | $0.00063 |
Grade A, and why
hf-init scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured yesterday.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Nothing flagged
None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.
How it starts
The opening of the file, as written. The whole thing — 87 lines — stays where its author put it; the contents beside it link to each section on GitHub.
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).
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
- Validates required
.envvariables are set - Tests API connectivity with the configured token
- Ensures the dataset repository exists on HF Hub
- Creates the standard folder structure (
lineage/,data/,metadata/) - 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
What ships with it
8 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.
What this file has done since we first saw it
Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.
- yesterday First seen · 87 lines · 41 tokens per session scan A 91bfd80b5f28
hf-init is a skill published in the GitHub repository richfrem/agent-plugins-skills (6 stars, last pushed yesterday), licensed MIT. It adds 41 tokens to every session and 634 once invoked, about $0.0002 per session on Opus 5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-09-03.
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