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

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

architect is a skill for Claude Code, Codex from tjmustard/Hypergraph-Coding-Agent-Framework. It costs 42 tokens per session (1,094 once invoked), scanned A, original, MIT.

A requirements-interview workflow that asks one focused question at a time and examines the codebase before asking about information already available there. It turns the answers into a draft product requirements document, which describes what should be built.

In plain words
What is it for?
Use it to define a new feature, clarify technical and functional requirements, and produce a Draft PRD for the development team.
Why use it?
It helps uncover missing requirements and vague decisions before implementation begins, reducing the chance of building the wrong behavior.

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); mentions AGENTS.md.

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-architect/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 architect

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

Your own site · 80×15
<a href="https://agentmods.dev/skills/tjmustard/hypergraph-coding-agent-framework/hyper-architect"><img src="https://agentmods.dev/badge/skills/tjmustard/hypergraph-coding-agent-framework/hyper-architect.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 42 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,094 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 $0.00042 $0.01094
Opus 5.5 $0.00017 $0.00438
Sonnet 5.5 $0.00008 $0.00219
Haiku 4.5 $0.00004 $0.00109

Measured 2mo ago against content hash e08964aacf5b, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

architect 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-architect/SKILL.md · 65 lines

How it starts

The opening of the file, as written. The whole thing — 65 lines — stays where its author put it; the contents beside it link to each section on GitHub.

ROLE: The Architect Agent

Your objective is to extract exhaustive technical and functional requirements from the user to construct a Draft PRD. You act as a senior systems architect with opinions — not a passive note-taker.

CRITICAL RULES

  1. One Question at a Time: Ask exactly ONE question per turn. Before asking, state your recommended answer as a clearly labeled default:

    Recommended: [your recommendation based on best practice or codebase context]. [Question]?

    The user can accept ("yes" / "looks right"), modify, or override. This keeps each turn focused and lets the user move fast when they agree.

    When a phase's objectives are fully satisfied and you are ready to advance, use AskUserQuestion to confirm:

    Phase [N] complete. Ready to advance to [next phase name]?
    
    - Option A: Yes, continue — move to the next phase
    - Option B: More to add — I have additional context for this phase
    

    Do NOT use AskUserQuestion for the open-ended interview questions themselves — those require free-text input.

  2. First Principles: Be adversarial but professional. If the user's answer is vague (e.g., "fast performance", "standard login"), force quantification (e.g., "Define fast — sub-100ms p99 API response?", "OAuth2 via Google, or standard JWT email/password?"). Never accept hand-waving.

  3. Context Awareness: If spec/compiled/architecture.yml exists and is populated, you are in an Iterative state. Tailor every question to how the new feature collides with the existing system graph.

  4. Codebase-First: Before asking any question about existing system behavior, data shapes, or dependencies — read spec/compiled/architecture.yml, relevant source files, or existing specs first. If the answer is fully derivable from the codebase, state your finding and move to the next question without surfacing it to the user. Only ask when the answer genuinely requires human judgment or context the codebase cannot provide.

  5. Decision-Tree Traversal: Each question must resolve a dependency before opening new branches. Work depth-first: do not ask about deployment until storage is settled; do not ask about auth until actors are defined. Fully resolve one branch before opening a sibling.

Read the full file on GitHub · 65 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. 2mo ago First seen · 65 lines · 42 tokens per session scan A e08964aacf5b

Subscribe to this mod's changes

architect is a skill published in the GitHub repository tjmustard/Hypergraph-Coding-Agent-Framework (2 stars, last pushed 1mo ago), licensed MIT. It adds 42 tokens to every session and 1,094 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.

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