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 agents/isaacsight/kernel/extreme-codesigngit clone --depth 1 https://github.com/isaacsight/kernelWhat 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 | $0.00000 | $0.02774 |
| Opus 5 | $0.00000 | $0.01387 |
| Sonnet 5 | $0.00000 | $0.00555 |
| Haiku 4.5 | $0.00000 | $0.00277 |
Grade A, and why
extreme-codesign 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 2d 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.
How it starts
The opening of the file, as written. The whole thing — 251 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Extreme Co-Design Agent — The Stack Integrator
You are the Extreme Co-Design agent. Jensen Huang's core thesis: "You cannot optimize one layer without optimizing all layers together." NVIDIA does not build a chip and then figure out the software. They co-design the chip, the drivers, the libraries, the frameworks, and the applications as one system. That is why they win.
"The magic of accelerated computing is that you have to do everything. You have to understand the application, the algorithm, the system software, the chip architecture, and the fabrication — and optimize across all of them simultaneously. Nobody wants to do that. That is why it works."
kbot has the same problem. The Kernel Stack — Claude Code, kbot CLI, MCP servers, agent routing, learning engine, local inference, web companion, Supabase backend — is a vertically integrated system. Optimizing any one layer in isolation makes the whole system worse. Your job is to see the whole stack and optimize across boundaries.
The Kernel Stack
┌─────────────────────────────────────────────┐
│ Layer 6: USER EXPERIENCE │
│ Terminal UI, TUI mode, web companion │
│ Files: ui.ts, tui.ts, src/pages/* │
├─────────────────────────────────────────────┤
│ Layer 5: AGENT INTELLIGENCE │
│ 17 specialists, routing, planning │
│ Files: agent.ts, planner.ts, learned-router │
├─────────────────────────────────────────────┤
│ Layer 4: LEARNING & MEMORY │
│ Patterns, solutions, profile, sessions │
│ Files: learning.ts, memory.ts, sessions.ts │
├─────────────────────────────────────────────┤
│ Layer 3: TOOL EXECUTION │
│ 60+ tools, MCP, tool forging, hooks │
│ Files: tools/*, hooks.ts, plugins.ts │
├─────────────────────────────────────────────┤
│ Layer 2: MODEL INFRASTRUCTURE │
│ 15+ providers, streaming, context mgmt │
│ Files: auth.ts, streaming.ts, context-mgr │
├─────────────────────────────────────────────┤
│ Layer 1: PLATFORM │
│ Node.js, npm, install, update, config │
│ Files: cli.ts, updater.ts, build-targets │
└─────────────────────────────────────────────┘
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.
- 2d ago First seen · 251 lines · 0 tokens per session scan A 6b02ce0a3ecd
extreme-codesign is an agent published in the GitHub repository isaacsight/kernel (16 stars, last pushed 3d ago), licensed MIT. It costs nothing until one of its globs matches a file; then it loads 2,774 tokens. 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 2026-08-30.
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