Hypergraph-Coding-Agent-Framework: Skill for Claude Code

.agents/skills/hyper-init/SKILL.md

hyper-init is a skill for Claude Code, Codex from tjmustard/Hypergraph-Coding-Agent-Framework. It costs 35 tokens per session (681 once invoked), scanned A, original, MIT.

A project setup guide that interviews you about a new repository and creates standard documentation files from templates. A repository is the project folder and its version-controlled files.

In plain words
What is it for?
Use it when starting a new project that needs a standard repository structure and documentation.
Why use it?
It avoids repeatedly gathering project details and writing common files such as a README, changelog, and contribution guide by hand.

Skill for Claude CodeCodex

Written for no agent in particular: nothing here depends on one. Also seen: names the AskUserQuestion tool; installed under .agents/ (shared by several agents).

This is tjmustard/Hypergraph-Coding-Agent-Framework's own configuration. It tells Claude Code and Codex how to work on Hypergraph-Coding-Agent-Framework itself, so it is not a mod to install elsewhere. Copy it as a starting point and replace the rules that are about this project. Everything Hypergraph-Coding-Agent-Framework configures →

Reuse

Borrowing it

Nothing to install: this file belongs to tjmustard/Hypergraph-Coding-Agent-Framework. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.

Copy the file
curl -O https://raw.githubusercontent.com/tjmustard/Hypergraph-Coding-Agent-Framework/main/.agents/skills/hyper-init/SKILL.md
Clone the repo
git clone --depth 1 https://github.com/tjmustard/Hypergraph-Coding-Agent-Framework

Made for: Claude Code, Codex.

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 hyper-init

README.md
[![agentmods](https://agentmods.dev/badge/skills/tjmustard/hypergraph-coding-agent-framework/hyper-init/github.svg)](https://agentmods.dev/skills/tjmustard/hypergraph-coding-agent-framework/hyper-init)
Your own site
<a href="https://agentmods.dev/skills/tjmustard/hypergraph-coding-agent-framework/hyper-init"><img src="https://agentmods.dev/badge/skills/tjmustard/hypergraph-coding-agent-framework/hyper-init/github.svg" alt="Measured on agentmods" height="20"></a>

Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.

agentmods 80×15 button for hyper-init

Your own site · 80×15
<a href="https://agentmods.dev/skills/tjmustard/hypergraph-coding-agent-framework/hyper-init"><img src="https://agentmods.dev/badge/skills/tjmustard/hypergraph-coding-agent-framework/hyper-init.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 35 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 681 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe.
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 5.1 $0.00035 $0.00681
Opus 5.5 $0.00014 $0.00272
Sonnet 5.5 $0.00007 $0.00136
Haiku 4.5 $0.00003 $0.00068

Measured 1mo ago against content hash 8ec0112069dd, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

hyper-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 1mo 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.

.agents/skills/hyper-init/SKILL.md · 80 lines

How it starts

The opening of the file, as written. The whole thing — 80 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Hyper-Init (Repository Scaffolding Agent)

This skill initializes a standard repository structure for a new project within the Hypergraph framework. It interviews the user to collect key variables and then templates out standard repository files (README, CHANGELOG, CONTRIBUTING, etc.).


When to use this skill

  • When the user starts a new project and needs to scaffold standard documentation.
  • When the user explicitly runs /hyper-init.

Step 1 — Interview the User

Use the AskUserQuestion tool to collect the following metadata variables. Ask the questions sequentially or in one batch, but do not proceed until you have all of them:

  • {{PROJECT_NAME}}: The human-readable name of the project (e.g., "Google Docs Annotator").
  • {{REPO_NAME}}: The machine-readable repository name (e.g., "mcp-gdoc-annotated").
  • {{GITHUB_USERNAME}}: The GitHub username or organization name.
  • {{AUTHOR_NAME}}: The author's full name.
  • {{AUTHOR_EMAIL}}: The author's email address.
  • {{PROJECT_DESCRIPTION}}: A short, 1-2 sentence summary of what the project does.

Step 2 — Read Templates

Once the variables are collected, read the generic templates from the .agents/schemas/project-templates/ directory:

  • CHANGELOG.md
  • CITATION.cff
  • CODE_OF_CONDUCT.md
  • CONTRIBUTING.md
  • DEVELOPMENT.md
  • README.md
  • SECURITY.md
  • pyproject.toml

Step 2b — Scaffold pyproject.toml

Read .agents/schemas/project-templates/pyproject.toml and substitute:

  • {{REPO_NAME}} → the machine-readable repository name from Step 1
  • {{PROJECT_DESCRIPTION}} → the project description from Step 1
  • {{PACKAGE_NAME}} → {{REPO_NAME}} with hyphens replaced by underscores (e.g., my-project → my_project)

Write the result to pyproject.toml in the project root.

Then run:

uv add --dev ruff
uv add --dev pytest

This installs the required dev tooling and generates uv.lock.


Step 3 — Template Replacement and Output

For each of the 7 documentation files (not pyproject.toml — already handled above):

  1. Replace all placeholder variables (e.g., {{PROJECT_NAME}}) with the user's provided answers.
  2. Use the Write File tool to save the modified content directly to the project's root directory (e.g., /README.md, /SECURITY.md).

Read the full file on GitHub · 80 lines

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. 1mo ago First seen · 80 lines · 35 tokens per session scan A 8ec0112069dd

Subscribe to this mod's changes

hyper-init is a skill published in the GitHub repository tjmustard/Hypergraph-Coding-Agent-Framework (2 stars, last pushed 1mo ago), licensed MIT. It adds 35 tokens to every session and 681 once invoked, about $0.0001 per session on Opus 5.5. 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 2026-09-28.

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