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.
npx agentmods add skills/tjmustard/hypergraph-coding-agent-framework/hyper-deepdivenpx skills add tjmustard/Hypergraph-Coding-Agent-Framework --skill hyper-deepdivegit clone --depth 1 https://github.com/tjmustard/Hypergraph-Coding-Agent-FrameworkWhat 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.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5 | $0.00049 | $0.00523 |
| Opus 5 | $0.00024 | $0.00262 |
| Sonnet 5 | $0.00010 | $0.00105 |
| Haiku 4.5 | $0.00005 | $0.00052 |
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 yesterday.
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.
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
-
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.
-
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.
-
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.
-
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
-
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)
-
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.
- yesterday First seen · 51 lines · 49 tokens per session scan A b7ec2ae1dbe9
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. 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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