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/gracefullight/krdsWrote 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/gracefullight/krds/design)<a href="https://agentmods.dev/commands/gracefullight/krds/design"><img src="https://agentmods.dev/badge/commands/gracefullight/krds/design/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/gracefullight/krds/design"><img src="https://agentmods.dev/badge/commands/gracefullight/krds/design.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 | $0.00020 | $0.00056 |
| Opus 5 | $0.00010 | $0.00028 |
| Sonnet 5 | $0.00004 | $0.00011 |
| Haiku 4.5 | $0.00002 | $0.00006 |
Grade A, and why
design 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 3d 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.
The source is not reproduced here
No licence file
A repository with no LICENSE is all rights reserved by default, so the body is not copied here. The metadata, the measurements and the link are.
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.
- 3d ago First seen · 8 lines · 20 tokens per session scan A c30116c03b87
design is a command published in the GitHub repository gracefullight/krds (46 stars, last pushed 3d ago), with no licence file. It adds 20 tokens to every session and 56 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 2026-09-08.
Other commands, from other repositories
verify
Fidelity check — rebuild a page from the extracted tokens, pixel-diff it against the live site, and score how faithfully the tokens capture the design.
critique-ux
Run a focused UX critique on a screen — affordances, information density, and hierarchy — and output a prioritised fix list.
frame-problem
Structure an ambiguous design challenge into a clear problem definition with constraints and criteria.
strategize
Develop a complete UX strategy for a product or feature area.
discover
Run a full user research cycle — persona creation, empathy mapping, and journey mapping for a product or feature.
ux-copy
Microcopy review and rewrite against the voice rubric. Produces a before/after table with severity per string and a clean rewrite block. Triggers on "review the copy", "fix the microcopy", "the error messages are bad", or "rewrite this". Use when reviewing or rewriting microcopy, fixing error messages that sound like…