google-fonts-skill CLAUDE.md

google-fonts-skill CLAUDE.md is an instructions file for coding agents from sliday/google-fonts-skill. It costs 33 tokens per session, scanned A, original, MIT.

Project instructions for google-fonts-skill, covering its Auto-Google-Font and Python work. They require uv, a Python tool for managing dependencies and environments, instead of pip or venv.

In plain words
What is it for?
Use them when working on the skill's font automation or Python code.
Why use it?
They prevent Python setup from drifting from the project's required dependency-management method.

Instructions file

Install

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.

agentmods
npx agentmods add instructions/sliday/google-fonts-skill/claude-md
Clone the repo
git clone --depth 1 https://github.com/sliday/google-fonts-skill

Wrote 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.

agentmods badge for google-fonts-skill CLAUDE.md

README.md
[![agentmods](https://agentmods.dev/badge/instructions/sliday/google-fonts-skill/claude-md.svg)](https://agentmods.dev/instructions/sliday/google-fonts-skill/claude-md)
Your own site
<a href="https://agentmods.dev/instructions/sliday/google-fonts-skill/claude-md"><img src="https://agentmods.dev/badge/instructions/sliday/google-fonts-skill/claude-md.svg" alt="Measured on agentmods" height="20"></a>
Per session 33 This file is loaded in full into every session.
When invoked 33 The same file — it is already loaded in full.
Security scan A 0 findings. Scan, not verified.
Origin original No closer match found in the catalogue.
Token cost

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.

ModelPer sessionOnce invoked
Fable 5 $0.00033 $0.00033
Opus 5 $0.00016 $0.00016
Sonnet 5 $0.00007 $0.00007
Haiku 4.5 $0.00003 $0.00003

Measured 4d ago against content hash 0bd975936bde, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

google-fonts-skill CLAUDE.md 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 4d ago.

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.

CLAUDE.md · 6 lines

What it actually says

Auto-Google-Font

Python

  • Always use uv for Python dependency management and virtual environments
  • Never use pip or venv directly
Changes

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.

  1. 4d ago First seen · 6 lines · 33 tokens per session scan A 0bd975936bde

Subscribe to this mod's changes

google-fonts-skill CLAUDE.md is an instructions file published in the GitHub repository sliday/google-fonts-skill (12 stars, last pushed 3d ago), licensed MIT. It adds 33 tokens to every session, 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 2026-08-30.