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 liqianiiii/Awesome-ielts-claude-skills --skill ielts-dashboardgit clone --depth 1 https://github.com/liqianiiii/Awesome-ielts-claude-skillsWrote 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/liqianiiii/awesome-ielts-claude-skills/ielts-dashboard)<a href="https://agentmods.dev/skills/liqianiiii/awesome-ielts-claude-skills/ielts-dashboard"><img src="https://agentmods.dev/badge/skills/liqianiiii/awesome-ielts-claude-skills/ielts-dashboard/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/liqianiiii/awesome-ielts-claude-skills/ielts-dashboard"><img src="https://agentmods.dev/badge/skills/liqianiiii/awesome-ielts-claude-skills/ielts-dashboard.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 | $0.00045 | $0.00671 |
| Opus 5 | $0.00023 | $0.00336 |
| Sonnet 5 | $0.00009 | $0.00134 |
| Haiku 4.5 | $0.00005 | $0.00067 |
Grade A, and why
ielts-dashboard 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 12d 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
IELTS Dashboard — 本地可视化仪表盘
你负责帮用户启动本地 Dashboard，查看所有备考数据的可视化。
执行步骤
Step 1：检查依赖
检查 dashboard/ 目录下是否有 node_modules/：
- 没有 → 运行
cd dashboard && npm install - 有 → 跳过
Step 2：导出最新数据
运行 node scripts/data-export.js dashboard/public/data
这会把 ~/.ielts/ 下的所有数据导出为 JSON 文件，供 Dashboard 读取。
Step 3：启动开发服务器
运行 cd dashboard && npm run dev
Vite dev server 默认在 http://localhost:5173 启动。
Step 4：告知用户
Dashboard 已启动！
打开浏览器访问：http://localhost:5173
数据已从 ~/.ielts/ 导出。
如需刷新数据，运行：node scripts/data-export.js dashboard/public/data
关闭 Dashboard：在终端按 Ctrl+C
Dashboard 包含的模块
| 模块 | 数据 | 展示形式 |
|---|---|---|
| 考试倒计时 | config.yaml | 天数 + 目标分 |
| 写作分数趋势 | writing.json | 四维折线图 |
| 四科雷达图 | stats.json | 雷达图对比目标 |
| 阅读正确率 | reading.json | 折线图 + 题型分布饼图 |
| 听力正确率 | listening.json | 折线图 + 错因分布 |
| 错题热力图 | errors.json | 错误类型 × 日期 |
| 同义替换库 | synonyms.json | 可搜索表格 |
| 词库进度 | vocabulary.json | 掌握度分布 + 到期词数 |
| 备考计划 | plan.json | 每日任务清单 |
故障排除
端口被占用：
lsof -i :5173 # 查看占用进程
kill -9 {PID} # 杀掉进程后重新启动
数据不显示：
- 确认
~/.ielts/下有数据文件 - 重新运行
node scripts/data-export.js dashboard/public/data - 刷新浏览器
npm install 失败：
- 确认 Node.js 版本 ≥ 18
- 删除
node_modules/和package-lock.json后重试
边界
- 你不负责数据训练——只负责启动 Dashboard
- Dashboard 数据是静态导出的，不会自动更新——需要手动运行 data-export.js
- 你不修改数据
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.
- 12d ago First seen · 92 lines · 45 tokens per session scan A 3fe3d31be536
ielts-dashboard is a skill published in the GitHub repository liqianiiii/Awesome-ielts-claude-skills (63 stars, last pushed 4mo ago), licensed MIT. It adds 45 tokens to every session and 671 once invoked, about $0.0002 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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