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 agentmods add skills/antdigital-ai/agentic-ui/component-schemanpx skills add antdigital-ai/agentic-ui --skill component-schemagit clone --depth 1 https://github.com/antdigital-ai/agentic-uiWrote 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/antdigital-ai/agentic-ui/component-schema)<a href="https://agentmods.dev/skills/antdigital-ai/agentic-ui/component-schema"><img src="https://agentmods.dev/badge/skills/antdigital-ai/agentic-ui/component-schema.svg" alt="Measured on agentmods" 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 | $0.00065 | $0.00317 |
| Opus 5 | $0.00032 | $0.00159 |
| Sonnet 5 | $0.00013 | $0.00063 |
| Haiku 4.5 | $0.00006 | $0.00032 |
Grade A, and why
component-schema 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 4d 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
Schema 组件开发
基于 JSON Schema 的低代码能力：表单、编辑器、渲染器与校验。
源码位置
- 导出：
src/Schema/index.ts - 表单：
src/Schema/SchemaForm/ - 编辑器：
src/Schema/SchemaEditor/ - 渲染器与模板引擎：
src/Schema/SchemaRenderer/、templateEngine - 校验：
src/Schema/validator.ts（SchemaValidator、mdDataSchemaValidator） - 类型：
src/Schema/types.ts（LowCodeSchema 等）
主要导出
SchemaEditor, SchemaForm, SchemaRenderer, SchemaValidator, TemplateEngine, validator
SchemaEditorProps, SchemaEditorRef, SchemaFormProps, LowCodeSchema
开发规范
- 与 MarkdownEditor、Bubble 内 Schema 编辑等配合时保持 schema 结构一致。
- 参考
AGENTS.md的 Props 与类型规范。
修改 Schema 表单/编辑器/渲染/校验时，参考 src/Schema/ 与 AGENTS.md。
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.
- 4d ago First seen · 32 lines · 65 tokens per session scan A 88cc8afec1f2
component-schema is a skill published in the GitHub repository antdigital-ai/agentic-ui (224 stars, last pushed 22d ago), licensed MIT. It adds 65 tokens to every session and 317 once invoked, about $0.0003 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 2026-08-30.
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