ingest-github

A GitHub repository importer that clones a code repository and extracts design tokens such as colours, fonts, and spacing. GitHub is a service for hosting and collaborating on code.

In plain words
What is it for?
Use it when a GitHub project is the source of the design system or visual style you want to reproduce.
Why use it?
It helps base new design work on the visual rules already present in an existing codebase.

Skill for Claude CodeCodex

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 skills/bluzir/claude-code-design/ingest-github
Any agent
npx skills add bluzir/claude-code-design --skill ingest-github
Clone the repo
git clone --depth 1 https://github.com/bluzir/claude-code-design

Made for: Claude Code, Codex.

Per session 49 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 990 The whole file, excluding the scripts and references it only reads on demand.
Security scan C 1 finding. Scan, not verified.
Origin unknown 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 $0.00049 $0.00990
Opus 5 $0.00024 $0.00495
Sonnet 5 $0.00010 $0.00198
Haiku 4.5 $0.00005 $0.00099

Measured 2d ago against content hash 78531ccc6138, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade C, and why

ingest-github scanned grade C with 1 finding 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 2d 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.

Recursive force deletehighDestructive command

rm -rf with a variable or a broad path is one typo away from removing the wrong tree.

7. **Cleanup:** optionally `Bash(rm -rf /tmp/cd-ingest-<slug>)` — or keep for further exploration.
.claude/skills/ingest-github/SKILL.md · 74 lines

The source is not reproduced here

No licence file

A repository with no LICENSE is all rights reserved by default, so the body is not copied here. The metadata, the measurements and the link are.

Read it on GitHub

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. 2d ago First seen · 74 lines · 49 tokens per session scan C 78531ccc6138

Subscribe to this mod's changes

ingest-github is a skill published in the GitHub repository bluzir/claude-code-design (102 stars, last pushed 4mo ago), with no licence file. It adds 49 tokens to every session and 990 once invoked, about $0.0002 per session on Opus 5. A static security scan graded it C with 1 finding (recursive force delete). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.

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