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

.agents/skills/hyper-create-skill/SKILL.md

create-skill is a skill for Claude Code, Codex from tjmustard/Hypergraph-Coding-Agent-Framework. It costs 45 tokens per session (654 once invoked), scanned A, original, MIT.

A skill-creation workflow that turns an agent prompt, Gemini Gem, or idea into a structured skill for the Hypergraph Coding Agent Framework. It creates the expected skill folder and supporting structure.

In plain words
What is it for?
Use it to package a prompt or idea as a workspace or global skill, including optional folders for scripts, examples, templates, and other resources.
Why use it?
It gives a consistent format for reusable agent instructions instead of leaving them as an unstructured prompt.

Skill for Claude CodeCodex

Written for no agent in particular: nothing here depends on one. Also seen: 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-create-skill/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 create-skill

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

Your own site · 80×15
<a href="https://agentmods.dev/skills/tjmustard/hypergraph-coding-agent-framework/hyper-create-skill"><img src="https://agentmods.dev/badge/skills/tjmustard/hypergraph-coding-agent-framework/hyper-create-skill.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 45 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 654 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 $0.00045 $0.00654
Opus 5.5 $0.00018 $0.00262
Sonnet 5.5 $0.00009 $0.00131
Haiku 4.5 $0.00005 $0.00065

Measured 2mo ago against content hash 0e8abd883b17, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

create-skill 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 2mo 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-create-skill/SKILL.md · 44 lines

How it starts

The opening of the file, as written. The whole thing — 44 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Create Skill

Follow these steps to predictably convert a Gemini Gem or generic agentic prompt into a properly formatted structural skill for the Hypergraph Coding Agent Framework.

When to use this skill

  • When the user provides an agentic prompt, a "Gemini Gem", or a raw textual description and asks you to create a "skill" out of it.
  • When the user runs the /hyper-create-skill slash command.

How to use it

  1. Gather Inputs:

    • Ensure you have the full content of the agentic prompt / Gemini Gem.
    • Determine a short, hyphen-separated name for the skill (e.g., code-review or api-design).
    • Determine a concise, third-person description of what the skill does (e.g., "Generates unit tests for Python code using pytest conventions.").
  2. Create the Directory Structure:

    • Create the primary skill folder at .agents/skills/<skill-name>/ (Workspace scope) or ~/.gemini/antigravity/skills/<skill-name>/ (Global scope). Default to workspace scope unless otherwise specified.
    • Create the standard optional subdirectories:
      • scripts/ (for helper scripts)
      • examples/ (for reference implementations)
      • resources/ (for templates and assets)
  3. Draft the SKILL.md File:

    • Create the main instruction file at the root of the skill folder: SKILL.md.
    • Mandatory Frontmatter: Start the file with the strict YAML frontmatter exactly as shown in this skill's resources/SKILL_TEMPLATE.md.
    • Structure the Content: Adapt the prompt into the standard markdown format using the template as a guide. Ensure you include the ## When to use this skill and ## How to use it sections.
  4. Organize and Create Auxiliary Files:

    • Identify if the input prompt/Gem includes secondary materials (scripts, examples, JSON schemas, templates, etc.).
    • Create any identified script files in the scripts/ subdirectory (ensure executable permissions if applicable).
    • Create any identified example files in the examples/ subdirectory under the new skill.
    • Create any identified template or asset files in the resources/ subdirectory under the new skill.
    • Explicitly reference these auxiliary files from within the newly generated SKILL.md file using relative paths or explicit instructions.

Read the full file on GitHub · 44 lines

Files

What ships with it

2 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.

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. 2mo ago First seen · 44 lines · 45 tokens per session scan A 0e8abd883b17

Subscribe to this mod's changes

create-skill is a skill published in the GitHub repository tjmustard/Hypergraph-Coding-Agent-Framework (2 stars, last pushed 1mo ago), licensed MIT. It adds 45 tokens to every session and 654 once invoked, about $0.0002 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 2026-08-31.

Related

Other skills, from other repositories

local-ai-agents

Build local-first AI agents that run entirely on a developer workstation with Microsoft Foundry Local and Qwen function-calling models. Covers Small Language Models (SLMs), the OpenAI-compatible local endpoint, sandboxed local tools, local RAG with Chroma, local MCP servers, hybrid cloud/local routing, and the…

microsoft/ai-agents-for-beginners · 200 tokens

systematic-debugging

Use when encountering any bug, test failure, or unexpected behavior, before proposing fixes.

obra/superpowers · 21 tokens

next-cache-components-adoption

Turn on Cache Components in a Next.js app and resolve the blocking routes it surfaces. Use when the user wants to enable, adopt, or migrate to Cache Components, flip the cacheComponents flag, work through a flood of blocking-prerender / instant validation errors, run the cache-components-instant-false codemod, or…

vercel/next.js · 95 tokens

chat-pet-sprite-creation

Use when creating or changing VS Code chat pet sprite art, sprite sheets, state animations, eye treatments, Stable/Insiders variants, or pet transitions under src/vs/workbench/contrib/chat/browser/widget/media/chatPet.

microsoft/vscode · 53 tokens

cpu-profile-analysis

Analyze V8/Chrome CPU profiles (.cpuprofile) and DevTools trace files (Trace-.json). Use when: profiling performance, investigating slow functions, comparing code paths, finding bottlenecks, analyzing timeToRequest, understanding call trees from sampling profiler data, analyzing layout/paint/rendering, investigating…

microsoft/vscode · 71 tokens

insight-error-page

Write or audit an insight-kind error page for the Next.js dev overlay. Use when creating a new errors/ .mdx page, auditing an existing one, or checking that a page matches the framework fix cards. Covers page structure, title alignment, FixCard cards with Copy prompt button, code snippets, terminology verification…

vercel/next.js · 83 tokens