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 skills add Cratis/AI --skill cratis-components-data-surfacesgit clone --depth 1 https://github.com/Cratis/AIWrote 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/skills/cratis/ai/cratis-components-data-surfaces)<a href="https://agentmods.dev/skills/cratis/ai/cratis-components-data-surfaces"><img src="https://agentmods.dev/badge/skills/cratis/ai/cratis-components-data-surfaces/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/skills/cratis/ai/cratis-components-data-surfaces"><img src="https://agentmods.dev/badge/skills/cratis/ai/cratis-components-data-surfaces.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 | $0.00082 | $0.02966 |
| Opus 5.5 | $0.00033 | $0.01186 |
| Sonnet 5.5 | $0.00016 | $0.00593 |
| Haiku 4.5 | $0.00008 | $0.00297 |
Grade A, and why
cratis-components-data-surfaces 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 7d 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 — 186 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Data beyond a table
Verified product sources
All API and behavior claims below use Cratis/Components source.
| Package | Source |
|---|---|
@cratis/components |
Source/PivotViewer/types.ts; Source/TimeMachine/{TimeMachine.tsx,types.ts}; Source/Canvas/{Canvas.tsx,CanvasItem.tsx,CanvasHandle.ts}; Source/Chat/{index.ts,ChatConversation.tsx,ChatSidebar.tsx} |
pixi.js |
Source/package.json; required when using Canvas or PivotViewer |
| React | Source/package.json |
Subpath exports: Source/package.json; each area's index.ts exports the types used below. Load cratis-components-styling for CSS/provider setup and cratis-components-accessibility for localized names. For tabular queries use cratis-arc-react-page; for a board tool palette use cratis-components-toolbar.
These are presentation contracts. The host owns loading, access control, data acquisition and persistence. A timeline slider is not event replay; a chat send callback is not a durable write.
Choose the surface
| Surface | Fit | Avoid assuming |
|---|---|---|
PivotViewer |
Faceted card exploration of an already-loaded collection | Server paging, JSX card rendering or controlled selection |
TimeMachine |
Supplied past snapshots and event descriptions | Fetching history, rebuilding a read model or a controlled current index |
Canvas |
A pan/zoom board combining DOM items and optional Pixi objects | That moving the camera persists item positions |
ChatConversation / ChatSidebar |
Host-owned messages, topic selection and actions | Automatic message persistence, authorization or topic naming |
Keep Canvas/PivotViewer behind their subpath imports so ordinary pages do not acquire a Pixi import edge. Install/deduplicate the optional pixi.js peer for these areas, including a DOM-only Canvas: Canvas.tsx initializes Pixi through usePixiApplication. Do not rely on the word "optional" to omit it when importing those areas.
What ships with it
1 file beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.
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.
- 7d ago Changed a74959c60eaf
- 9d ago First seen · 186 lines · 82 tokens per session scan A c96ff743fe2e
cratis-components-data-surfaces is a skill published in the GitHub repository Cratis/AI (4 stars, last pushed yesterday), licensed MIT. It adds 82 tokens to every session and 2,966 once invoked, about $0.0003 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 2026-10-13.
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