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-agent-run-bar/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-agent-run-bar)<a href="https://agentmods.dev/skills/antdigital-ai/agentic-ui/component-agent-run-bar"><img src="https://agentmods.dev/badge/skills/antdigital-ai/agentic-ui/component-agent-run-bar.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 | $0.00067 | $0.00290 |
| Opus 5 | $0.00034 | $0.00145 |
| Sonnet 5 | $0.00013 | $0.00058 |
| Haiku 4.5 | $0.00007 | $0.00029 |
Grade A, and why
component-agent-run-bar 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
AgentRunBar 组件开发
智能体运行控制条：播放、暂停、停止等，与任务状态（TASK_STATUS）联动。
源码位置
- 主组件：
src/AgentRunBar/index.tsx - 图标与子组件：
src/AgentRunBar/icons、Robot等 - 样式：
src/AgentRunBar/style.ts - 状态枚举：
TASK_STATUS（RUNNING、SUCCESS、ERROR、PAUSE、STOPPED、CANCELLED）
主要能力
- 运行状态展示、播放/暂停/停止按钮
- 与 I18nContext、ConfigProvider 配合
- 可配合 TaskList、ThoughtChainList 使用
开发规范
- 使用 token 与 createStyles；事件使用
on前缀。 - 新增状态或按钮时与 TASK_STATUS 及现有 API 保持一致。
修改运行控制条时，参考 src/AgentRunBar/ 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 · 29 lines · 67 tokens per session scan A 8812f496f7a2
component-agent-run-bar is a skill published in the GitHub repository antdigital-ai/agentic-ui (224 stars, last pushed 26d ago), licensed MIT. It adds 67 tokens to every session and 290 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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