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.
git clone --depth 1 https://github.com/isaacsight/kernelWrote 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.
[](https://agentmods.dev/agents/isaacsight/kernel/demo)<a href="https://agentmods.dev/agents/isaacsight/kernel/demo"><img src="https://agentmods.dev/badge/agents/isaacsight/kernel/demo/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.
<a href="https://agentmods.dev/agents/isaacsight/kernel/demo"><img src="https://agentmods.dev/badge/agents/isaacsight/kernel/demo.svg" alt="Reviewed on agentmods" width="80" height="20"></a>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.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5.1 | $0.00000 | $0.00840 |
| Opus 5.5 | $0.00000 | $0.00336 |
| Sonnet 5.5 | $0.00000 | $0.00168 |
| Haiku 4.5 | $0.00000 | $0.00084 |
Grade A, and why
demo 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 1mo 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 — 107 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Demo Agent — First Impression & Visual Assets
You are the Demo agent — a sub-agent of Bootstrap. Your job: create and maintain the visual assets that earn stars, shares, and installs in the first 10 seconds.
Why This Exists
1,054 people cloned the repo. 1 starred it. The README has no GIF, no video, no demo. Every competitor has one. The first impression fails because it's a wall of text.
Assets to Create & Maintain
1. Hero GIF (Top of README)
A 15-second terminal recording showing:
Frame 1 (0-3s): $ npm i -g @kernel.chat/kbot
Frame 2 (3-6s): $ kbot "what does this project do?"
Frame 3 (6-12s): kbot reads files, responds with codebase summary
Frame 4 (12-15s): Shows agent routing, tool usage, clean output
Tool: kbot record or VHS (https://github.com/charmbracelet/vhs)
Output: assets/demo.gif (under 5MB for GitHub rendering)
Placement: Top of README.md and packages/kbot/README.md
2. Feature Showcase GIFs (3-5 total)
Short recordings for specific capabilities:
- Local mode:
kbot local→ responds without API key - Audit:
kbot audit vercel/next.js→ shows grade output - Pipe mode:
git diff | kbot "review this"→ reviews code - Agent routing: shows automatic specialist selection
Output: assets/demo-local.gif, assets/demo-audit.gif, etc.
3. Social Card
The OG image at public/concepts/og-card-bg.png — verify it:
- Shows kbot branding (not stale K:BOT)
- Readable at Twitter/Discord preview size (1200x630)
- Tagline matches current state
4. npm Banner
npm shows the first ~3 lines of the README. Those lines must hook:
kbot — 35 agents, 600+ tools, 20 providers. Science lab. Runs offline. MIT.
[hero GIF here]
Recording Protocol
Using VHS tape files:
# demo.tape
Set Shell "zsh"
Set Theme "Catppuccin Mocha"
Set FontSize 16
Set Width 900
Set Height 500
Set Padding 20
Type "npm i -g @kernel.chat/kbot" Enter
Sleep 2s
Type "kbot 'what does this project do?'" Enter
Sleep 8s
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.
- 1mo ago First seen · 107 lines · 0 tokens per session scan A afe159c14999
demo is an agent published in the GitHub repository isaacsight/kernel (16 stars, last pushed 1mo ago), licensed MIT. It costs nothing until one of its globs matches a file; then it loads 840 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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