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/resume/compare.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/compare)<a href="https://agentmods.dev/commands/huifer/claude-code-interview/compare"><img src="https://agentmods.dev/badge/commands/huifer/claude-code-interview/compare/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/compare"><img src="https://agentmods.dev/badge/commands/huifer/claude-code-interview/compare.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 | $0.00032 | $0.02836 |
| Opus 5.5 | $0.00013 | $0.01134 |
| Sonnet 5.5 | $0.00006 | $0.00567 |
| Haiku 4.5 | $0.00003 | $0.00284 |
Grade A, and why
compare 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 — 393 lines — stays where its author put it; the contents beside it link to each section on GitHub.
对比简历变体
对比 $1 和 $2 两个简历变体,分析它们在关键词、匹配度、格式等方面的差异。
使用方法
对比两个变体
/resume/compare google_v1 google_v2
系统将:
- 读取两个变体文件
- 提取关键信息进行对比
- 生成差异报告
- 提供选择建议
对比维度
1. 基本信息
- 文件名和创建时间
- 目标公司和职位
- 变体版本号
- 最后修改时间
2. 关键词密度分析
对比关键词在各个部分的密度:
{
"keyword_density_comparison": {
"summary": {
"variant1": 18.5,
"variant2": 22.3,
"difference": "+3.8",
"winner": "variant2"
},
"experience": {
"variant1": 12.3,
"variant2": 14.7,
"difference": "+2.4",
"winner": "variant2"
},
"skills": {
"variant1": 95.0,
"variant2": 100.0,
"difference": "+5.0",
"winner": "variant2"
}
}
}
3. 技能匹配度
对比与JD的技能匹配度:
{
"match_score_comparison": {
"variant1": {
"overall": 82.5,
"required_skills": 85.0,
"preferred_skills": 78.0
},
"variant2": {
"overall": 89.2,
"required_skills": 92.0,
"preferred_skills": 85.0
},
"improvement": "+6.7",
"winner": "variant2"
}
}
4. ATS兼容性
评估ATS系统解析能力:
{
"ats_compatibility": {
"workday": {
"variant1": "medium",
"variant2": "high"
},
"greenhouse": {
"variant1": "high",
"variant2": "high"
},
"lever": {
"variant1": "high",
"variant2": "high"
},
"overall_winner": "variant2"
}
}
5. 内容差异
详细对比各部分内容:
Summary对比
### Variant 1
资深软件工程师,专注于分布式系统和机器学习...
### Variant 2
资深软件工程师,专注于大规模分布式系统、云计算和机器学习,
拥有5年高并发系统开发经验...
**分析**: v2更详细,突出"大规模"和"高并发"关键词
技能排序对比
### Variant 1
1. Python, Java, Go
2. Django, Spring Boot, React
3. Docker, Kubernetes
### Variant 2
1. Python, Go, Java
2. Kubernetes, Docker, AWS
3. Django, Spring Boot, FastAPI
**分析**: v2将Kubernetes提前,更匹配JD要求
经验描述对比
### 字节跳动 - Variant 1
负责抖音电商后台核心系统的开发和优化...
### 字节跳动 - Variant 2
设计并实现高并发订单处理系统,QPS从5k提升至50k,
系统稳定性达到99.99%...
**分析**: v2使用量化数据,更具体
6. 性能指标
{
"performance_metrics": {
"keyword_optimization": {
"variant1": 75,
"variant2": 90,
"winner": "variant2"
},
"readability": {
"variant1": 85,
"variant2": 82,
"winner": "variant1"
},
"conciseness": {
"variant1": 80,
"variant2": 78,
"winner": "variant1"
},
"impact_orientation": {
"variant1": 72,
"variant2": 92,
"winner": "variant2"
}
}
}
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 · 393 lines · 32 tokens per session scan A 3b3d2f6d88eb
compare is a command published in the GitHub repository huifer/claude-code-interview (27 stars, last pushed 10mo ago), licensed MIT. It adds 32 tokens to every session and 2,836 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.
compare compared with commands from other repositories
| Mod | Type | Stars | Last push | Licence | Scan | Tokens | Works with |
|---|---|---|---|---|---|---|---|
| comparehuifer/claude-code-interview | Command | 27 | 10mo ago | MIT | A | 32 | 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 |