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/obiwancenobi/klambenWrote 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/commands/obiwancenobi/klamben/teach)<a href="https://agentmods.dev/commands/obiwancenobi/klamben/teach"><img src="https://agentmods.dev/badge/commands/obiwancenobi/klamben/teach/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/commands/obiwancenobi/klamben/teach"><img src="https://agentmods.dev/badge/commands/obiwancenobi/klamben/teach.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 | $0.00036 | $0.01319 |
| Opus 5.5 | $0.00014 | $0.00528 |
| Sonnet 5.5 | $0.00007 | $0.00264 |
| Haiku 4.5 | $0.00004 | $0.00132 |
Grade A, and why
teach 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.
How it starts
The opening of the file, as written. The whole thing — 163 lines — stays where its author put it; the contents beside it link to each section on GitHub.
/teach
First-time setup for klamben. Run once when you add klamben to a
Flutter project. Gathers design context and saves it to .klamben.md
so all other commands give project-tailored advice.
When to use
- First time using klamben in a project
- After a major rebrand or redesign
- When switching target platforms
Process
Step 1: Codebase scan (automatic)
Scan the project without asking questions. Read these files and extract what you can:
pubspec.yaml— app name, Flutter/Dart SDK version, dependencies (google_fonts,flutter_localizations,intl,flutter_svg,cached_network_image,flutter_platform_widgets,cupertino_icons)lib/Dart files — search for:ThemeData— seed color,useMaterial3,textTheme,colorSchemeColorScheme.fromSeed— extract seed colorGoogleFonts.— which fontThemeExtension— spacing tokens, custom extensionsPlatform.isIOS/Platform.isAndroid— platform branching.adaptiveconstructors —Switch.adaptive,Slider.adaptiveCupertinoPageRoute,CupertinoButton— Cupertino usageSemantics,tooltip:— accessibility patternsAppLocalizations,flutter_localizations— i18n setupl10n.yaml— localization config
analysis_options.yaml— existing lint rules
Build an internal summary of what you found. Note which questions from Step 2 are already answered by the scan.
Step 2: Ask questions (one at a time)
Skip any question already answered by the codebase scan. Use multiple choice when possible.
Q1: Target platforms (skip if scan found platform branching)
Which platforms does this app target?
- Android + iOS with platform-adaptive UI (Recommended)
- Android + iOS with Material-only UI
- Android only
- iOS only
Q2: Brand personality (always ask)
Pick 2-3 words that describe this app's personality:
- Professional / Playful / Minimal / Bold / Warm / Technical / Premium / Friendly
- (or let the user type their own)
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.
- 2mo ago First seen · 163 lines · 36 tokens per session scan A d70177c80b8e
teach is a command published in the GitHub repository obiwancenobi/klamben (2 stars, last pushed 6mo ago), licensed Apache-2.0. It adds 36 tokens to every session and 1,319 once invoked, about $0.0001 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.
Other commands, from other repositories
design
Design workflow that creates design systems, DESIGN.md, and design tokens with anti-pattern enforcement and accessibility checks.
erne-animate
ERNE — Implement animations using the ui-designer agent with Reanimated and Gesture Handler.
speckit.zuraffa.generate-commands
Regenerate all extension command files from zfa manifest.
audit
Audit the current codebase for Flutter best practice violations.
mobile
Start mobile design workflow.
checklist
Generate a custom checklist for the current feature based on user requirements.