Sn Search Code logo

Sn Search Code

OrganizationPopular
OpenSenseNova
sn-search-code

用于查找代码示例、开源项目、GitHub Issue、技术问答、开发者讨论、HuggingFace 模型/数据集/Space。

Overview

PublisherOpenSenseNova
RepositorySenseNova-Skills
Skill namesn-search-code
Stars
5.8K
Forks
402
Bundled files
6
LicenseMIT
Links
  • Markdown instructions

    A SKILL.md file the model loads on demand, so it only costs tokens when a request actually matches.

  • Works with any LLM

    AI skills are plain Markdown, not provider-specific code, so this works with GPT, Claude, Gemini, Grok, or a local model.

  • 6 bundled files

    Scripts, templates, and references the model can read while it works. Files are read-only and never executed.

  • Open source

    Published by OpenSenseNova on GitHub. Read the source before you install it.

Installation

Install the Sn Search Code AI skill in TypingMind to use it with any LLM, or drop it into another agent that reads SKILL.md.

1

Install in TypingMind

TypingMind installs a skill straight from its GitHub folder — it reads SKILL.md, bundles the resource files, and stores the result locally.

  1. Open the app and go to Plugins → Skills.
  2. Choose "Install from GitHub".
  3. Paste the skill folder URL below and confirm.
    https://github.com/OpenSenseNova/SenseNova-Skills/tree/main/skills/sn-search-code
  4. Enable the skill in any chat where you want it available.
Plugins → Skills → Add skill → From GitHub URL, then paste the folder URL and press Continue.
2

Install in another agent

Any agent that reads the Agent Skills format can use this skill — copy the folder into that agent's skills directory.

Claude Code — .claude/skills
git clone --depth 1 https://github.com/OpenSenseNova/SenseNova-Skills.git /tmp/SenseNova-Skills
mkdir -p .claude/skills
cp -r /tmp/SenseNova-Skills/skills/sn-search-code .claude/skills/sn-search-code
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Sn Search Code in any TypingMind chat and the model takes it from there. Its name and description sit in the system prompt, and the moment a request matches, the model loads the full instructions itself — you never invoke it by hand, and it costs no tokens until it is actually used.

The model loads Sn Search Code on its own as soon as a request matches it.

Works with any AI model

AI skills are plain Markdown instructions rather than provider-specific code, so Sn Search Code is not tied to the model it was written for. Install it once in TypingMind and use it with GPT-5, Claude, Gemini, Grok, DeepSeek, Mistral, Llama, or a local model you run yourself — all on your own API keys.

  • Loaded only when it is needed

    The system prompt carries just the name and description. The instructions are fetched on the first matching request, so an idle skill costs nothing.

  • Switch models mid-chat

    Because the skill is instructions rather than code, changing model does not break it — the next model reads the same SKILL.md.

Skill instructions

This is the SKILL.md content the model loads. Read it before installing — a skill is instructions your model will follow.

sn-search-code - 开发者搜索

凭证配置

API key、token 与 cookie 统一建议写在仓库根目录 .env(参考 .env.example),并由 runtime 或用户在执行前加载为同名环境变量。脚本仍只从环境变量或显式 CLI 参数读取凭证;不要把真实密钥写入 skill payload、报告、日志或提交。

搜索 GitHub、Stack Overflow、Hacker News、HuggingFace 四个开发者核心平台。所有脚本无需 API 密钥 即可使用,但 GitHub --type code 搜索是例外(见下方说明)。

可用脚本

脚本平台用途API 密钥
github_search.pyGitHub仓库、代码、Issue 搜索code 类型必须;其他类型可选(提高限额)
stackoverflow_search.pyStack Overflow技术问答搜索无需
hackernews_search.pyHacker News技术新闻和讨论无需
huggingface_search.pyHuggingFace模型、数据集、Space 搜索可选 HF_TOKEN(提高限额)

依赖

首次运行或脚本提示缺库时,使用本技能的依赖清单安装到当前 Python 环境:

bash
python3 -m pip install -r requirements.txt

不要在脚本内部自动安装依赖。若安装失败、网络不可用或包不可用,停止使用对应脚本并改用网页搜索,说明缺少依赖。

参数说明

github_search.py

bash
python3 scripts/github_search.py <query> [选项]
参数说明默认值
query搜索关键词(必填)—
--limit, -n返回结果数量10
--type, -t搜索类型:repositories, code, issues, repo, issuerepositories
--tokenGitHub Token(也可通过 GITHUB_TOKEN 环境变量设置)—

注意:--type code 必须提供 token。
GitHub API 对代码搜索接口强制要求认证,未提供 token 会返回 401。
repositories 和 issues 类型无需 token,但有 token 可提高速率限制(未认证 10 次/分钟 → 认证 30 次/分钟)。

bash
python3 scripts/github_search.py "machine learning framework" --type repositories --limit 5
python3 scripts/github_search.py "import asyncio" --type code --token ghp_xxx --limit 5
# 或通过环境变量:
GITHUB_TOKEN=ghp_xxx python3 scripts/github_search.py "import asyncio" --type code --limit 5

stackoverflow_search.py

bash
python3 scripts/stackoverflow_search.py <query> [选项]
参数说明默认值
query搜索关键词(必填)—
--limit, -n返回结果数量10
--sort排序方式:relevance, votes, creation, activityrelevance
--tagged按标签过滤,多个用分号分隔(如 python;asyncio)—
--api-keyStack Exchange API 密钥(也可通过 SO_API_KEY 环境变量设置,可选,提高限额)—
bash
python3 scripts/stackoverflow_search.py "python async await" --limit 5
python3 scripts/stackoverflow_search.py "rust lifetime" --sort votes --tagged rust --limit 10

huggingface_search.py

bash
python3 scripts/huggingface_search.py <query> [选项]
参数说明默认值
query搜索关键词(必填)—
--limit, -n返回结果数量10
--type, -t搜索类型:models, datasets, spaces(及别名 model, dataset, space)models
--tokenHuggingFace Token(也可通过 HF_TOKEN 环境变量设置,可选,提高限额)—
bash
python3 scripts/huggingface_search.py "bert" --type models --limit 5
python3 scripts/huggingface_search.py "text classification" --type datasets --limit 5
python3 scripts/huggingface_search.py "stable diffusion" --type spaces --limit 5

hackernews_search.py

bash
python3 scripts/hackernews_search.py <query> [选项]
参数说明默认值
query搜索关键词(必填)—
--limit, -n返回结果数量10
--sort排序方式:relevance, daterelevance
--tagsHN 标签过滤:story, comment, ask_hn, show_hn—
bash
python3 scripts/hackernews_search.py "LLM agents" --limit 10
python3 scripts/hackernews_search.py "GPT-5" --sort date --tags story --limit 5

输出格式

所有脚本输出标准 JSON:

json
{
  "success": true,
  "query": "...",
  "provider": "github|stackoverflow|hackernews",
  "items": [
    {"title": "...", "url": "...", "snippet": "...", ...}
  ],
  "error": null
}

Bundled files

The model reads these on demand while the skill is loaded. They are exposed as readable files and are never executed.

Frequently asked questions

What does the Sn Search Code AI skill do?

用于查找代码示例、开源项目、GitHub Issue、技术问答、开发者讨论、HuggingFace 模型/数据集/Space。

Why use Sn Search Code on TypingMind?

Because you install it once and use it with any model. Sn Search Code is plain Markdown rather than provider-specific code, so the same skill runs on GPT-5, Claude, Gemini, Grok, or a local model — and you can switch model mid-chat without it breaking. TypingMind runs on your own API keys, so you pay providers directly instead of a per-seat subscription, and your skills and chats stay in your own storage.

How do I install Sn Search Code in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/OpenSenseNova/SenseNova-Skills/tree/main/skills/sn-search-code. TypingMind reads its SKILL.md and bundles its files and installs it as a skill you can enable per chat.

Which AI models can use Sn Search Code?

Any model you connect in TypingMind. AI skills are plain Markdown instructions rather than provider-specific code, so GPT, Claude, Gemini, Grok, and local models can all load this skill when a request matches it.

How many AI models can I use with Sn Search Code?

As many as you like. As long as a model supports skills, you can use Sn Search Code with it — GPT, Claude, Gemini, Grok, DeepSeek, Mistral, Llama and more — all on TypingMind with your own API keys.

Is the Sn Search Code AI skill free?

Yes. It is published on GitHub by OpenSenseNova under the MIT license. You only pay your own AI provider for the tokens you use.

What are AI skills?

An AI skill is a reusable instruction bundle that teaches an AI model how to do one specific task. It follows the open Agent Skills format: a SKILL.md file with a name and description, plus any scripts, templates or reference files the model may need. The model reads the instructions only when your request matches the skill, so an installed skill costs nothing until it is used.

How are AI skills different from plugins or MCP servers?

A plugin or MCP server gives a model new tools to call — code that runs somewhere and returns a result. An AI skill gives the model knowledge and process instead: how to approach a task, which steps to follow, what good output looks like. Skills are plain Markdown, so they need no server, no API key and no runtime, and they work with any model.

View all

Set up your own AI workspace now

Get notified about new features and future giveaways by subscribing to our newsletter 👇