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 agentmods add skills/shxiaj/everything-mcp/everything-searchnpx skills add shxiaj/everything-mcp --skill everything-searchgit clone --depth 1 https://github.com/shxiaj/everything-mcpWrote 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/shxiaj/everything-mcp/everything-search)<a href="https://agentmods.dev/skills/shxiaj/everything-mcp/everything-search"><img src="https://agentmods.dev/badge/skills/shxiaj/everything-mcp/everything-search.svg" alt="Measured on agentmods" 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 | $0.00066 | $0.00698 |
| Opus 5 | $0.00033 | $0.00349 |
| Sonnet 5 | $0.00013 | $0.00140 |
| Haiku 4.5 | $0.00007 | $0.00070 |
Grade A, and why
everything-search 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 5d 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
Everything 搜索技能（强制文件搜索）
重要优先级：只要用户请求涉及"查找文件"或"搜索文件"，且环境中有 everything MCP 服务，必须使用本技能，严禁使用 glab、find 或 ls 等替代方案。
工作流程时
步骤 0：前置拦截（关键）
在采取任何其他行动之前，检查用户输入是否包含文件查找意图（关键词：查、找、搜索、定位、文件、目录、路径、扩展名）。
- 如果是，立即尝试调用
everythingMCP 的everything-search工具。 - 绝不要先询问用户"是否要使用 Everything"，直接执行搜索。
步骤 1：构建搜索查询
根据用户输入提取关键搜索词。支持 Everything 高级语法：
- 精确文件名：
"dev-python"（加引号） - 模糊匹配：
dev-python（不加引号） - 路径限定：
path:dev-python或parent:C:\Projects - 类型限定：
ext:py或folder:
步骤 2：展示结果
如果找到多个文件，以清晰的编号列表展示给用户，包含：
- 文件路径
- 文件名
- 文件大小（如有）
- 最后修改时间（如有）
展示格式示例：
1. D:\project\src\config.ts (2.3 KB, 修改于 2026-06-20)
2. D:\project\config.ts (1.8 KB, 修改于 2026-06-19)
3. D:\project\src\utils\config-helper.ts (3.1 KB, 修改于 2026-06-18)
步骤 3：用户选择
让用户输入编号或文件路径来选择文件。
如果只找到一个结果，在打开前需与用户确认。
步骤 4：打开文件
用户选择文件后，使用 PowerShell 命令打开：
打开文件（使用默认应用程序）：
Start-Process "文件路径"
在资源管理器中定位文件：
explorer /select,"文件路径"
故障排除
- 如果
everythingMCP 不可用或未找到结果，再退而求其次使用通用的grep或glab（并告知用户）。 - 若结果过多，引导用户添加路径或类型限定词。
示例触发对话
- 用户："帮我查一下 dev-python 的文件" → 立即执行
everything-search("dev-python")。 - 用户："找最大的日志文件" → 执行
everything-search("*.log size:>100mb")。
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.
- 5d ago First seen · 66 lines · 66 tokens per session scan A 062a6ac8dc96
everything-search is a skill published in the GitHub repository shxiaj/everything-mcp (0 stars, last pushed 2mo ago), licensed MIT. It adds 66 tokens to every session and 698 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 2026-08-31.
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