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/delight)<a href="https://agentmods.dev/commands/obiwancenobi/klamben/delight"><img src="https://agentmods.dev/badge/commands/obiwancenobi/klamben/delight/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/delight"><img src="https://agentmods.dev/badge/commands/obiwancenobi/klamben/delight.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 | $0.00023 | $0.00300 |
| Opus 5 | $0.00012 | $0.00150 |
| Sonnet 5 | $0.00005 | $0.00060 |
| Haiku 4.5 | $0.00002 | $0.00030 |
Grade A, and why
delight 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 9d 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.
What it actually says
/delight
Micro-interactions that make an app feel alive. Subtle only.
When to use
- App works but feels flat
- User says "add some polish" / "make it feel nice"
- After
/hardenis done
Actions
- Check design context: If
.klamben.mdexists in the project root, read it first. Apply the project's brand, platform targets, accessibility tier, and existing patterns to your work below. - Haptics on state-changing buttons (
HapticFeedback.lightImpact) - Skeleton loaders for list/grid loading states
- Pull-to-refresh on scrollable lists (
RefreshIndicator/CupertinoSliverRefreshControl) - Success confirmations — SnackBar or Material 3
showAdaptiveDialog - Loading button states — button shows inline spinner while working
- Transitions between loading and loaded via
AnimatedSwitcher
Do NOT
- Add confetti, sparkles, or over-the-top effects
- Animate every transition
- Use heavy haptics for routine actions
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.
- 9d ago First seen · 37 lines · 23 tokens per session scan A 5c9be08e9778
delight is a command published in the GitHub repository obiwancenobi/klamben (2 stars, last pushed 5mo ago), licensed Apache-2.0. It adds 23 tokens to every session and 300 once invoked, about $0.0001 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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