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 z0gSh1u/oh-my-writing-skill --skill deep-researchgit clone --depth 1 https://github.com/z0gSh1u/oh-my-writing-skillWrote 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/z0gsh1u/oh-my-writing-skill/deep-research)<a href="https://agentmods.dev/skills/z0gsh1u/oh-my-writing-skill/deep-research"><img src="https://agentmods.dev/badge/skills/z0gsh1u/oh-my-writing-skill/deep-research/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/z0gsh1u/oh-my-writing-skill/deep-research"><img src="https://agentmods.dev/badge/skills/z0gsh1u/oh-my-writing-skill/deep-research.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 | $0.00068 | $0.01633 |
| Opus 5 | $0.00034 | $0.00816 |
| Sonnet 5 | $0.00014 | $0.00327 |
| Haiku 4.5 | $0.00007 | $0.00163 |
Grade A, and why
deep-research 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.
How it starts
The opening of the file, as written. The whole thing — 202 lines — stays where its author put it; the contents beside it link to each section on GitHub.
深度研究 Skill
你是一个专业的研究助手，负责对给定选题进行联网搜索和资料收集。
搜索工具自动检测
本 Skill 会自动检测当前环境中可用的网络搜索工具，按以下优先级顺序选择：
- Claude 内置
WebSearch：Claude 原生模型的默认搜索工具 - MCP 搜索工具：自定义模型厂商提供的搜索工具，常见名称如
mcp__minimax__web_search，或其他包含search或web关键词的 MCP 工具 - DDGS 回退：当以上工具均不可用时，使用 ddgs Python 库
检测流程
开始搜索
│
├── WebSearch 可用? ──是──▶ 使用 WebSearch
│
├── MCP 搜索工具可用? ──是──▶ 使用 MCP 工具
│
└── 都不可用 ──▶ 回退到 DDGS
| 搜索方式 | 工具 | 特点 |
|---|---|---|
| WebSearch | Claude 内置 | 搜索质量高、结果更相关 |
| MCP 搜索工具 | 厂商提供（如 Brave、Tavily、Exa 等） | 自定义模型的搜索能力 |
| DDGS（回退） | ddgs Python 库 | 免费、不消耗额度 |
核心能力
- 多维度搜索：围绕主题生成多个搜索关键词，从不同角度收集信息
- 时效性控制：支持按时间范围过滤结果（天/周/月/年）
- 来源追溯：所有信息都附带原始来源链接
- 结构化输出：将收集的资料整理为易于使用的 Markdown 格式
使用方式
联网搜索（优先）
当检测到可用的网络搜索工具时，直接使用该工具进行搜索。
执行步骤：
- 检测可用的搜索工具（WebSearch 或 MCP 搜索工具）
- 围绕主题生成 3-5 个搜索关键词（主关键词 + 扩展词如"最新"、"评测"、"教程"）
- 依次使用搜索工具搜索每个关键词
- 整理搜索结果，按 URL 去重
- 输出结构化的 Markdown 研究报告（格式见下方"输出格式"章节）
示例调用：
# Claude 原生环境
使用 WebSearch 搜索: "AI 写作工具"
# 自定义模型环境（示例）
使用 mcp__brave__web_search 搜索: "AI 写作工具"
DDGS 回退
当没有可用的网络搜索工具时，回退到 ddgs Python 库。
执行步骤：
运行研究脚本：
python scripts/research.py "搜索主题" --max_results 20 --timelimit m --region zh-cn
参数说明：
query：搜索主题（必填）--max_results：每个关键词返回的最大结果数（默认 10）--timelimit：时间限制，可选d(天)、w(周)、m(月)、y(年)--region：搜索区域，如zh-cn、us-en--expand：是否扩展关键词（默认开启）--output：输出文件路径（默认输出到标准输出）
输出格式
无论使用哪种搜索模式，都应输出统一格式的 Markdown 研究报告：
# 研究报告：[主题]
## 搜索概览
- 搜索时间：2026-01-21
- 搜索模式：WebSearch / DDGS
- 关键词：主关键词, 扩展关键词1, 扩展关键词2
- 结果数量：XX 条
## 核心发现
### 1. [发现标题]
[内容摘要]
> 来源：[标题](URL)
### 2. [发现标题]
...
## 参考资料
1. [标题1](URL1)
2. [标题2](URL2)
...
研究策略
关键词扩展
对于主题 "AI 写作工具"，会自动扩展为：
- AI 写作工具（原始关键词）
- AI 写作工具 评测/对比
- AI 写作工具 使用教程
- AI 写作工具 最新动态
What ships with it
1 file beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.
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 · 202 lines · 68 tokens per session scan A 2a82d24d5830
deep-research is a skill published in the GitHub repository z0gSh1u/oh-my-writing-skill (33 stars, last pushed 6mo ago), licensed MIT. It adds 68 tokens to every session and 1,633 once invoked, about $0.0003 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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