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

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

deepdive is a skill for Claude Code, Codex from tjmustard/Hypergraph-Coding-Agent-Framework. It costs 49 tokens per session (523 once invoked), scanned A, original, MIT.

A guided deep-research and brainstorming process based on first-principles reasoning, which breaks a topic down to its basic parts. It is intended for understanding a technology or decision before acting.

In plain words
What is it for?
Investigating complex topics, comparing approaches, and pausing a development plan while a decision is examined in depth.
Why use it?
It helps expose trade-offs, failure cases, alternatives, and unknowns before an architectural or technical choice is made.

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-deepdive/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 deepdive

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

Your own site · 80×15
<a href="https://agentmods.dev/skills/tjmustard/hypergraph-coding-agent-framework/hyper-deepdive"><img src="https://agentmods.dev/badge/skills/tjmustard/hypergraph-coding-agent-framework/hyper-deepdive.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 49 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 523 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 $0.00049 $0.00523
Opus 5.5 $0.00020 $0.00209
Sonnet 5.5 $0.00010 $0.00105
Haiku 4.5 $0.00005 $0.00052

Measured 2mo ago against content hash b7ec2ae1dbe9, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

deepdive 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-deepdive/SKILL.md · 51 lines

How it starts

The opening of the file, as written. The whole thing — 51 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Deep Dive

This skill temporarily pauses the broader development plan and exhaustively researches or brainstorms a specific topic. It applies First Principles thinking and enforces strict epistemic humility — no hallucinated data or literature.

When to use this skill

  • When the user wants to deeply understand a specific concept, technology, or design decision before proceeding.
  • When the user specifies /hyper-deepdive [topic].
  • When an architectural decision requires thorough research before committing.

How to use it

  1. Pause the Living Master Plan

    • Acknowledge that you are temporarily pausing plan updates.
    • Note the current state so you can return to it after the dive.
  2. Exhaustively Explore the Topic

    • Deconstruct the topic using First Principles thinking.
    • Research from multiple angles: what it is, how it works, its trade-offs, failure modes, and alternatives.
  3. Enforce Strict Epistemic Humility

    • State your confidence level explicitly for specific mechanisms, papers, or technical constraints.
    • If you reach the edge of your verifiable knowledge, state this clearly and ask the user to provide data or context.
    • Do not hallucinate literature or data.
    • Provide standard reference formats (e.g., DOIs, PubMed IDs) if referencing scientific literature.
  4. Structure the Output Present findings clearly with:

    • Core Concept: What it is, the problem it solves
    • Mechanics: How it works underneath
    • Trade-offs: Why you'd choose this vs. alternatives
    • Failure Modes: What breaks and how to debug
    • Relevance: How this applies to the current project/decision
  5. Integrate Findings

    • Once the deep dive is complete, use AskUserQuestion:

      Would you like to integrate any of these findings into the Living Master Plan or the current specification?
      
      - Option A: Yes — integrate findings (update activeContext.md and/or the relevant spec)
      - Option B: No — keep as research only (leave the findings as a standalone artifact)
      

Read the full file on GitHub · 51 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 · 51 lines · 49 tokens per session scan A b7ec2ae1dbe9

Subscribe to this mod's changes

deepdive is a skill published in the GitHub repository tjmustard/Hypergraph-Coding-Agent-Framework (2 stars, last pushed 1mo ago), licensed MIT. It adds 49 tokens to every session and 523 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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