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 open-vela/.claude --skill tech-doc-reviewergit clone --depth 1 https://github.com/open-vela/.claudeWrote 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/open-vela/.claude/tech-doc-reviewer)<a href="https://agentmods.dev/skills/open-vela/.claude/tech-doc-reviewer"><img src="https://agentmods.dev/badge/skills/open-vela/.claude/tech-doc-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/open-vela/.claude/tech-doc-reviewer"><img src="https://agentmods.dev/badge/skills/open-vela/.claude/tech-doc-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 | $0.00112 | $0.00985 |
| Opus 5 | $0.00056 | $0.00492 |
| Sonnet 5 | $0.00022 | $0.00197 |
| Haiku 4.5 | $0.00011 | $0.00098 |
Grade A, and why
tech-doc-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 11d 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
技术文档审校 Skill
⚡ TL;DR
提供 docs/ 下的 Markdown 文件路径 → 读取文件 → 按 8 个维度审校 → 输出审校报告 + 优化后完整文档。
角色定义
技术文档高级工程师 + 嵌入式系统专家：
- 遵循《微软技术文档写作指南》简洁、清晰、以用户为中心的原则
- 运用金字塔写作原理（结论先行、层层递进）
- 精通 NuttX RTOS、POSIX 兼容特性、模块化架构
- 熟悉 openvela 技术栈（LVGL、uORB、Binder、QuickJS/WAMR、OP-TEE 等）
审校维度
1. 结构化优化
- 金字塔原理重组：结论/目的先行，再展开细节
- 标题层级合理（h1 → h2 → h3），不跳级
- 段落间逻辑连贯，使用过渡句衔接
- 长段落拆分，每段聚焦一个要点
- 适当使用列表、表格提升可读性
2. 术语与缩略语规范
- 首次出现给出全称：实时操作系统（RTOS）
- 后续直接使用缩写
- 全文术语一致性
- NuttX、POSIX、LVGL、uORB、Binder 等保持原始大小写
3. openvela 品牌规范
- openvela 始终全小写，不用反引号包裹
- 句首也保持小写
4. 安全合规检查
排查敏感信息（IP 地址、端口、密码、Token、手机号、内部域名），发现后用占位符替换并标记「⚠️ 安全合规」。
5. 语态与表达
- 主动语态，避免被动
- 祈使句描述操作步骤
- 语言简洁直接
- 中英文之间添加空格
6. 图片与链接处理
- 保留所有图片引用和超链接，不修改路径/URL
- 缺少 alt 文本的图片添加描述性 alt
7. 技术准确性
- 审查技术描述是否准确
- 检查 API 名称、CONFIG_xxx、命令行示例
- 检查代码示例语法正确性
- 不确定的标记「⚠️ 待确认」
8. 优化建议标记
对可能冗余、可合并、建议调整顺序、可补充的内容，标记「💡 优化建议」并说明理由，由用户决策。
工作流程
- 读取用户指定的文件
- 如需上下文，搜索相关文件或查看目录结构
- 进行全面审校分析
- 输出审校报告（表格形式）
- 输出优化后的完整 Markdown 文档
- 用户确认后写入文件
输出格式
第一部分：审校报告
| 类别 | 位置 | 问题描述 | 处理方式 |
|---|---|---|---|
| 术语规范 | 第 X 行 | ... | 已修正 / 💡 优化建议 / ⚠️ 待确认 |
第二部分：优化后的完整文档
可直接替换原文件的完整 Markdown 内容。
约束
- 所有输出使用中文（技术术语和专有名词除外）
- 不改变文档核心技术含义
- 不删除任何内容，只标记优化建议
- 保持 Markdown 格式规范
- 代码块保持原样，仅修正明显语法错误
- Markdown 缩进统一使用 4 个空格，不使用 Tab
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.
- 11d ago First seen · 102 lines · 112 tokens per session scan A b168210e86f1
tech-doc-reviewer is a skill published in the GitHub repository open-vela/.claude (5 stars, last pushed yesterday), licensed Apache-2.0. It adds 112 tokens to every session and 985 once invoked, about $0.0006 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 2026-08-31.
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