Borrowing it
Nothing to install: this file belongs to huifer/claude-code-interview. 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/huifer/claude-code-interview/main/.claude/commands/analytics/dashboard.mdgit clone --depth 1 https://github.com/huifer/claude-code-interviewWrote 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/commands/huifer/claude-code-interview/dashboard)<a href="https://agentmods.dev/commands/huifer/claude-code-interview/dashboard"><img src="https://agentmods.dev/badge/commands/huifer/claude-code-interview/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/commands/huifer/claude-code-interview/dashboard"><img src="https://agentmods.dev/badge/commands/huifer/claude-code-interview/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 | $0.00030 | $0.05470 |
| Opus 5.5 | $0.00012 | $0.02188 |
| Sonnet 5.5 | $0.00006 | $0.01094 |
| Haiku 4.5 | $0.00003 | $0.00547 |
Grade A, and why
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 2mo 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 — 701 lines — stays where its author put it; the contents beside it link to each section on GitHub.
分析仪表板
生成全面的可视化分析报告,帮助你了解求职进度和改进效果。
使用方法
生成基本仪表板
# 默认格式(Markdown)
/analytics/dashboard
# 指定输出格式
/analytics/dashboard html
/analytics/dashboard markdown
/analytics/dashboard pdf
# 指定时间范围
/analytics/dashboard --week
/analytics/dashboard --month
/analytics/dashboard --all
生成特定类型报告
# 只显示应用漏斗
/analytics/dashboard --funnel
# 只显示技能分析
/analytics/dashboard --skills
# 只显示面试表现
/analytics/dashboard --interviews
# 只显示进步趋势
/analytics/dashboard --trends
# 完整仪表板(所有部分)
/analytics/dashboard --full
导出报告
# 导出到文件
/analytics/dashboard --output exports/analytics/report-2024-01-15.html
# 在浏览器中打开(HTML格式)
/analytics/dashboard html --open
# 生成PDF报告
/analytics/dashboard pdf --output exports/analytics/report.pdf
仪表板组成部分
1. 应用漏斗可视化
## 📊 Application Funnel
应用进度追踪:
Researching (100)
▼
Applied (45) [45% conversion]
▼
Screening (12) [27% conversion]
▼
Interviews (5) [42% conversion]
▼
Offers (2) [40% conversion]
Overall Conversion Rate: 4.4%
2. 技能差距热图
## 🔥 Skill Gap Heatmap
技能对比矩阵:
Your Skills vs. Job Requirements
┌─────────────────────┬────────┬────────┬────────┬────────┐
│ Category │ Your │ Market │ Avg │ Gap │
│ │ Level │ Demand │ Req │ Score │
├─────────────────────┼────────┼────────┼────────┼────────┤
│ Python │ Expert │ 85% │ Inter │ +25 │
│ JavaScript │ Advan │ 78% │ Expert │ -15 │
│ Distributed Systems │ Inter │ 65% │ Expert │ -35 │
│ System Design │ Inter │ 82% │ Advan │ -20 │
│ Cloud (AWS/GCP) │ Advan │ 90% │ Expert │ -10 │
│ Machine Learning │ Basic │ 45% │ Inter │ -25 │
│ Kubernetes │ Basic │ 72% │ Inter │ -40 │
│ Go │ None │ 38% │ Basic │ -50 │
└─────────────────────┴────────┴────────┴────────┴────────┘
Legend:
+20+: Above requirements ✅
+0 to +20: Meets requirements 🟢
-0 to -20: Slight gap 🟡
-20 to -40: Moderate gap 🔴
-40+: Critical gap ⚠️
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.
- 2mo ago First seen · 701 lines · 0 tokens per session scan A 5869c28147b3
dashboard is a command published in the GitHub repository huifer/claude-code-interview (27 stars, last pushed 10mo ago), licensed MIT. It adds 30 tokens to every session and 5,470 once invoked, about $0.0001 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 2026-08-30.
dashboard compared with commands from other repositories
| Mod | Type | Stars | Last push | Licence | Scan | Tokens | Works with |
|---|---|---|---|---|---|---|---|
| dashboardhuifer/claude-code-interview | Command | 27 | 10mo ago | MIT | A | 30 | Claude Code |
| checklistgithub/spec-kit | Command | 148k | yesterday | MIT | A | 13 | Claude Code |
| clarifygithub/spec-kit | Command | 148k | yesterday | MIT | A | 27 | Claude Code |
| specifygithub/spec-kit | Command | 148k | yesterday | MIT | A | 13 | Claude Code |
| analyzegithub/spec-kit | Command | 148k | yesterday | MIT | A | 26 | Claude Code |
| convergegithub/spec-kit | Command | 148k | yesterday | MIT | A | 35 | Claude Code |
| implementgithub/spec-kit | Command | 148k | yesterday | MIT | A | 14 | Claude Code |