search-strategy

search-strategy is a skill for Claude Code, Codex from Mousaee/agent-search. It costs 50 tokens per session (643 once invoked), scanned A, original, MIT.

A guide for choosing search engines and breaking broad questions into smaller searches. It covers Chinese and English technical questions, GitHub projects, business information, public opinion, papers, and deep research.

In plain words
What is it for?
Use it to select a search source, split a research task into focused queries, combine quick and deep searches, and report when reliable results were not found.
Why use it?
It helps avoid poor results caused by sending a complex question to one unsuitable search engine or using one oversized query.

Skill for Claude CodeCodex

Written for no agent in particular: nothing here depends on one. Also seen: mentions Claude Code.

Good fit Use it to select a search source, split a research task into focused queries, combine quick and deep searches, and report when reliable results were not found.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/mousaee/agent-search/search-strategy
Install

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.

Any agent
npx skills add Mousaee/agent-search --skill search-strategy
Clone the repo
git clone --depth 1 https://github.com/Mousaee/agent-search

Made for: Claude Code, Codex.

Wrote 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.

agentmods badge for search-strategy

README.md
[![agentmods](https://agentmods.dev/badge/skills/mousaee/agent-search/search-strategy.svg)](https://agentmods.dev/skills/mousaee/agent-search/search-strategy)
Your own site
<a href="https://agentmods.dev/skills/mousaee/agent-search/search-strategy"><img src="https://agentmods.dev/badge/skills/mousaee/agent-search/search-strategy.svg" alt="Measured on agentmods" height="20"></a>
Per session 50 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 643 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe.
Origin original No closer match found in the catalogue.
Token cost

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.

ModelPer sessionOnce invoked
Fable 5.1 $0.00050 $0.00643
Opus 5 $0.00025 $0.00321
Sonnet 5 $0.00010 $0.00129
Haiku 4.5 $0.00005 $0.00064

Measured 8d ago against content hash 4c95845d7166, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-07, from the pricing page.

Security

Grade A, and why

search-strategy 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 8d 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.

skills/search-strategy/SKILL.md · 75 lines

What it actually says

Search Strategy — 多引擎搜索策略

引擎选择矩阵

查询类型 首选引擎 备选引擎 说明
中文技术问题 百度 掘金、CSDN 中文技术社区覆盖最好
英文技术问题 Bing DuckDuckGo Google 需代理,Bing 够用
GitHub 项目/库 gh search Bing gh CLI 直接搜最精准
商业/公司信息 百度 Google、Bing 中文商业信息百度最全
口碑舆情 百度 site:zhihu.com 小红书、微博 限定站点搜索
学术论文 Google Scholar arXiv、Semantic Scholar 学术搜索专用
深度分析 Claude/GPT 深度搜索 需要推理和综合的问题

关键词拆分原则

  1. 绝对不要用一个大查询搜索复杂问题
  2. 把大问题拆成 3-5 个精准小查询,分别搜索
  3. 每个查询控制在 5-10 个字以内
  4. 搜索结果质量差就直接说"未找到",不编造

搜索深度分层

Quick Search(秒级)

适合:事实查询、链接获取、快速确认

web_search(query="具体问题", count=5)

Deep Search(30-90秒)

适合:复杂问题、需要推理、多角度分析

claude -p "你的查询"  # Claude Code CLI
# 或其他支持深度搜索的工具

组合搜索(推荐)

先 Quick Search 获取链接和基础信息,再 Deep Search 深入分析:

1. web_search → 获取 Top 5 链接
2. smart-fetch → 抓取关键页面全文
3. deep-search → 综合分析生成报告

信息优先级

  • P0(必须):核心事实、关键数据、直接回答问题
  • P1(重要):补充背景、对比数据、专家观点
  • P2(补充):边缘信息、历史数据

输出格式

【搜索结果】
查询: ...
引擎: ...
结果:
1. [标题](URL) — 摘要
2. [标题](URL) — 摘要
...

约束

  • 默认返回 5 条结果
  • 结果去重(同一 URL 只保留一条)
  • 每条必须标注来源 URL
  • 搜不到就说"未找到可靠来源"
Changes

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.

  1. 8d ago First seen · 75 lines · 50 tokens per session scan A 4c95845d7166

Subscribe to this mod's changes

search-strategy is a skill published in the GitHub repository Mousaee/agent-search (19 stars, last pushed 6mo ago), licensed MIT. It adds 50 tokens to every session and 643 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.

Related

Other skills, from other repositories

systematic-debugging

Use when encountering any bug, test failure, or unexpected behavior, before proposing fixes.

obra/superpowers · 21 tokens

local-ai-agents

Build local-first AI agents that run entirely on a developer workstation with Microsoft Foundry Local and Qwen function-calling models. Covers Small Language Models (SLMs), the OpenAI-compatible local endpoint, sandboxed local tools, local RAG with Chroma, local MCP servers, hybrid cloud/local routing, and the…

microsoft/ai-agents-for-beginners · 200 tokens

next-cache-components-adoption

Turn on Cache Components in a Next.js app and resolve the blocking routes it surfaces. Use when the user wants to enable, adopt, or migrate to Cache Components, flip the cacheComponents flag, work through a flood of blocking-prerender / instant validation errors, run the cache-components-instant-false codemod, or…

vercel/next.js · 95 tokens

next-partial-prefetching-adoption

Turn on Partial Prefetching in a Next.js app and work through the insights it surfaces. Use when the user wants to enable or adopt Partial Prefetching, flip the partialPrefetching flag, opt routes in with export const prefetch = 'partial', audit Link prefetch={true} behavior, preserve existing prefetched UI with…

vercel/next.js · 103 tokens

chronicle

Analyze Copilot session history for standup reports, usage tips, session search, and session reindexing. Use when the user asks for a standup, daily summary, usage tips, workflow recommendations, wants to search or find past sessions by keyword/file/PR, wants to reindex their session store, or asks about deleting…

microsoft/vscode · 72 tokens

babysit-pr

Babysit a GitHub pull request after creation by continuously polling review comments, CI checks/workflow runs, and mergeability state until the PR is merged/closed or user help is required. Diagnose failures, retry likely flaky failures up to 3 times, auto-fix/push branch-related issues when appropriate, and keep…

openai/codex · 114 tokens