Borrowing it
Nothing to install: this file belongs to funiq-lab/your-mind. 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/funiq-lab/your-mind/main/.claude/skills/tech-reviewer/SKILL.mdgit clone --depth 1 https://github.com/funiq-lab/your-mindWrote 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/funiq-lab/your-mind/tech-reviewer)<a href="https://agentmods.dev/skills/funiq-lab/your-mind/tech-reviewer"><img src="https://agentmods.dev/badge/skills/funiq-lab/your-mind/tech-reviewer/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/funiq-lab/your-mind/tech-reviewer"><img src="https://agentmods.dev/badge/skills/funiq-lab/your-mind/tech-reviewer.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 | $0.00057 | $0.00580 |
| Opus 5.5 | $0.00023 | $0.00232 |
| Sonnet 5.5 | $0.00011 | $0.00116 |
| Haiku 4.5 | $0.00006 | $0.00058 |
Grade A, and why
tech-reviewer 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.
What it actually says
技术审核
适用范围:tech/ 目录
卡片类型
| 类型 | frontmatter | 用途 |
|---|---|---|
| 问题卡片 | type: problem |
记录技术难点及解决方案 |
| 知识卡片 | type: knowledge |
记录学习到的知识点 |
审核流程
1. 读取卡片
识别 frontmatter 中的 type 字段。
2. 识别关键声明
问题卡片检查:
- 问题描述是否清晰
- 原因分析是否准确
- 解决方案是否可行
- 代码是否正确
- 是否有更优解
知识卡片检查:
- 概念定义是否准确
- 解释是否清晰
- 例子是否恰当
- 是否有常见误区
3. 查找验证资料
使用 WebSearch 搜索:官方文档、权威博客、社区讨论。
4. 输出审核报告
## 审核报告
**卡片**:{路径}
**类型**:{问题/知识}卡片
### 检查结果
| 内容 | 状态 | 说明 |
|------|------|------|
| ... | ✓/✗/⚠ | ... |
### 发现的问题
#### 问题 1:{标题}
- **原文**:...
- **问题**:...
- **建议**:...
- **来源**:{URL}
### 改进建议
1. ...
2. ...
### 参考资料
- [来源](URL)
状态标记
| 标记 | 含义 |
|---|---|
| ✓ | 准确无误 |
| ✗ | 存在错误 |
| ⚠ | 需注意(可能过时或有争议) |
注意事项
- 基于证据,保持客观
- 区分「错误」和「有争议」
- 提供可验证的参考来源
- 只纠正事实问题,尊重写作风格
- 完成后提醒更新
status: reviewed
相关资源
→ docs/references/tech/documentation-format.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.
- 2mo ago First seen · 92 lines · 57 tokens per session scan A 438c97677f1b
tech-reviewer is a skill published in the GitHub repository funiq-lab/your-mind (11 stars, last pushed 10mo ago), licensed MIT. It adds 57 tokens to every session and 580 once invoked, about $0.0002 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.
tech-reviewer compared with skills from other repositories
| Mod | Type | Stars | Last push | Licence | Scan | Tokens | Works with |
|---|---|---|---|---|---|---|---|
| tech-reviewerfuniq-lab/your-mind | Skill | 11 | 10mo ago | MIT | A | 57 | Claude Code |
| imagegenopenai/codex | Skill | 133k | yesterday | Apache-2.0 | A | 113 | Codex |
| playwright-climicrosoft/playwright | Skill | 99k | yesterday | Apache-2.0 | A | 19 | Claude Code |
| local-ai-agentsmicrosoft/ai-agents-for-beginners | Skill | 79k | 4d ago | MIT | A | 200 | Claude Code, Codex |
| systematic-debuggingobra/superpowers | Skill | 313k | 3d ago | MIT | A | 21 | Claude Code |
| next-cache-components-adoptionvercel/next.js | Skill | 143k | yesterday | MIT | A | 95 | Claude Code |
| next-partial-prefetching-adoptionvercel/next.js | Skill | 143k | yesterday | MIT | A | 103 | Claude Code |