Borrowing it
Nothing to install: this file belongs to antdigital-ai/agentic-ui. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.
curl -O https://raw.githubusercontent.com/antdigital-ai/agentic-ui/main/.cursor/skills/component-ai-label/SKILL.mdgit 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-ai-label)<a href="https://agentmods.dev/skills/antdigital-ai/agentic-ui/component-ai-label"><img src="https://agentmods.dev/badge/skills/antdigital-ai/agentic-ui/component-ai-label.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 5.1 | $0.00051 | $0.00225 |
| Opus 5 | $0.00026 | $0.00112 |
| Sonnet 5 | $0.00010 | $0.00045 |
| Haiku 4.5 | $0.00005 | $0.00022 |
Grade A, and why
component-ai-label 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.
What it actually says
AILabel 组件开发
AI 标识/水印标签：默认、水印、强调等状态。
源码位置
- 主组件：
src/AILabel/index.tsx - 图形与样式：
AIGraphic、AIGraphicDisabled、src/AILabel/style.ts - 类型：
AILabelStatus（'default' | 'watermark' | 'emphasis'）、AILabelProps
主要 Props
status、偏移等；继承React.HTMLAttributes<HTMLSpanElement>
开发规范
- 使用 token 与 createStyles；与 Bubble、AnswerAlert 等组合时保持视觉一致。
修改 AI 标签时，参考 src/AILabel/ 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.
- 7d ago First seen · 25 lines · 51 tokens per session scan A 15782696eea5
component-ai-label is a skill published in the GitHub repository antdigital-ai/agentic-ui (224 stars, last pushed 25d ago), licensed MIT. It adds 51 tokens to every session and 225 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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