Esmfold2
JimLiu/science-skills
Biohub ESMFold2 / ESMFold2-Fast all-atom co-folding (Candido et al.
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。
Install Sn Search Code
$ npx skills add OpenSenseNova/SenseNova-Skills --skill sn-search-code -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install OpenSenseNova/SenseNova-Skills sn-search-code --agent claude-codeProject scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).
$ git clone --depth 1 https://github.com/OpenSenseNova/SenseNova-Skills.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/sn-search-code .claude/skills/sn-search-code && rm -rf skills-srcUse ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.
Claude Code skills documentation · loads skills from .claude/skills/
Install the "sn-search-code" agent skill from https://github.com/OpenSenseNova/SenseNova-Skills/tree/main/skills/sn-search-code into .claude/skills/sn-search-code/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "sn-search-code", then confirm the skill loads.Claude Code copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$skill-installer install https://github.com/OpenSenseNova/SenseNova-Skills/tree/main/skills/sn-search-codeType this inside Codex. $skill-installer <name> installs a curated skill from openai/skills. The installer writes to $CODEX_HOME/skills (default ~/.codex/skills). Restart Codex if the skill does not show up.
$ npx skills add OpenSenseNova/SenseNova-Skills --skill sn-search-code -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install OpenSenseNova/SenseNova-Skills sn-search-code --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/OpenSenseNova/SenseNova-Skills.git skills-src && mkdir -p .agents/skills && cp -r skills-src/skills/sn-search-code .agents/skills/sn-search-code && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "sn-search-code" agent skill from https://github.com/OpenSenseNova/SenseNova-Skills/tree/main/skills/sn-search-code into .agents/skills/sn-search-code/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "sn-search-code", then confirm the skill loads.Codex copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add OpenSenseNova/SenseNova-Skills --skill sn-search-code -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install OpenSenseNova/SenseNova-Skills sn-search-code --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/OpenSenseNova/SenseNova-Skills.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/skills/sn-search-code .cursor/skills/sn-search-code && rm -rf skills-srcUse ~/.cursor/skills/ instead of .cursor/skills for a personal install.
Cursor skills documentation · loads skills from .cursor/skills/, .agents/skills/, .claude/skills/, .codex/skills/
Install the "sn-search-code" agent skill from https://github.com/OpenSenseNova/SenseNova-Skills/tree/main/skills/sn-search-code into .cursor/skills/sn-search-code/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "sn-search-code", then confirm the skill loads.Cursor copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gemini skills install https://github.com/OpenSenseNova/SenseNova-Skills.git --path skills/sn-search-code--scope user (default) or --scope workspace; --path is the subfolder of the repo that holds the skill; --consent skips the security confirmation prompt.
$ npx skills add OpenSenseNova/SenseNova-Skills --skill sn-search-code -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install OpenSenseNova/SenseNova-Skills sn-search-code --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/OpenSenseNova/SenseNova-Skills.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/skills/sn-search-code .gemini/skills/sn-search-code && rm -rf skills-srcUse ~/.gemini/skills/ instead of .gemini/skills for a personal install, then run /skills reload.
Gemini CLI skills documentation · loads skills from .gemini/skills/, .agents/skills/
Install the "sn-search-code" agent skill from https://github.com/OpenSenseNova/SenseNova-Skills/tree/main/skills/sn-search-code into .gemini/skills/sn-search-code/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "sn-search-code", then confirm the skill loads.Gemini CLI copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gh skill install OpenSenseNova/SenseNova-Skills sn-search-codeInstalls for Copilot at project scope by default; add --scope user for a personal install. Preview a skill first with gh skill preview. Needs GitHub CLI 2.90.0 or later (public preview).
$ npx skills add OpenSenseNova/SenseNova-Skills --skill sn-search-code -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/OpenSenseNova/SenseNova-Skills.git skills-src && mkdir -p .github/skills && cp -r skills-src/skills/sn-search-code .github/skills/sn-search-code && rm -rf skills-srcUse ~/.copilot/skills/ instead of .github/skills for a personal install. Commit .github/skills so cloud agent and code review can use it.
GitHub Copilot skills documentation · loads skills from .github/skills/, .claude/skills/, .agents/skills/
Install the "sn-search-code" agent skill from https://github.com/OpenSenseNova/SenseNova-Skills/tree/main/skills/sn-search-code into .github/skills/sn-search-code/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "sn-search-code", then confirm the skill loads.GitHub Copilot copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add OpenSenseNova/SenseNova-Skills --skill sn-search-code -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install OpenSenseNova/SenseNova-Skills sn-search-code --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/OpenSenseNova/SenseNova-Skills.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/skills/sn-search-code .opencode/skills/sn-search-code && rm -rf skills-srcUse ~/.config/opencode/skills/ instead of .opencode/skills for a personal install.
OpenCode skills documentation · loads skills from .opencode/skills/, .claude/skills/, .agents/skills/
Install the "sn-search-code" agent skill from https://github.com/OpenSenseNova/SenseNova-Skills/tree/main/skills/sn-search-code into .opencode/skills/sn-search-code/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "sn-search-code", then confirm the skill loads.OpenCode copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
Facts
- Skill name
sn-search-code- GitHub stars
- 5.7k
- Token cost
- ~905 tokens
- SKILL.md length
- 180 words
- Files
- 7 (incl. scripts)
- Skills in repo
- 36
- Repo updated
- First seen
- Licence
- MIT
At a glance
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。
- Tasks that involve Model hubs and datasets
- SKILL.md covers 凭证配置, 可用脚本, 依赖 and 参数说明, plus 1 more section
- Runs Python scripts from its folder; calls python3; needs HF_TOKEN and GITHUB_TOKEN
What it does
Sn Search Code is an agent skill from OpenSenseNova/SenseNova-Skills. 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。
Its SKILL.md is about 910 tokens, which your agent loads only when the skill is triggered. The skill folder holds 7 other files, including scripts (for example `scripts/github_search.py`, `scripts/hackernews_search.py` and `scripts/huggingface_search.py`).
It sits in AI & LLM Engineering, covering Model hubs and datasets. It works with GitHub and Hugging Face. The repository describes itself as: Modular SenseNova skills for building AI-powered office assistants and productivity workflows. The licence is MIT.
When your agent uses it
- Tasks that involve Model hubs and datasets
Example prompts
- “/sn-search-code”
Requirements
- Python 3
- A credential in GITHUB_TOKEN
- A credential in SO_API_KEY
What it can do on your machine
Read from SKILL.md and the folder at commit 5abde96. It shows what the files ask for, not the result of running them.
Tool permissions
Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.
From allowed-tools in the SKILL.md frontmatter.
Runs code
Ships 5 files in scripts/ (Python), which the agent can run.
Shell commands in SKILL.md call:
python3
From the folder's file list and the shell code blocks in SKILL.md.
Network
No URLs in SKILL.md.
From URLs in SKILL.md, links to its own repository left out.
Credentials
Names these keys or tokens, usually read from environment variables:
HF_TOKENGITHUB_TOKENSO_API_KEY
From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.
Context cost
Sn Search Code loads about 905 tokens when it runs. Until then it costs about 20 tokens; SKILL.md has 180 words of instructions outside code blocks.
Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.
Safety
Auto-check: notes
The automated check noted patterns worth knowing about, such as sudo or a known installer.
- NoteMentions a .env fileSKILL.md:10
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
Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); the scripts in this folder are not scanned.
SKILL.md
The full file from OpenSenseNova/SenseNova-Skills at commit 5abde96, republished under its MIT licence (© OpenSenseNova). 180 words, ~905 tokens.
Download SKILL.mdSave it as
.claude/skills/sn-search-code/SKILL.md (or your agent's skills folder). This skill also uses 6 other files; get the full folder from GitHub.- name
- sn-search-code
- description
- 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。
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.py | GitHub | 仓库、代码、Issue 搜索 | code 类型必须；其他类型可选（提高限额） |
stackoverflow_search.py | Stack Overflow | 技术问答搜索 | 无需 |
hackernews_search.py | Hacker News | 技术新闻和讨论 | 无需 |
huggingface_search.py | HuggingFace | 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：
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
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, issue | repositories |
--token | GitHub 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）。
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 5stackoverflow_search.py
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, activity | relevance |
--tagged | 按标签过滤，多个用分号分隔（如 python;asyncio） | — |
--api-key | Stack Exchange API 密钥（也可通过 SO_API_KEY 环境变量设置，可选，提高限额） | — |
python3 scripts/stackoverflow_search.py "python async await" --limit 5
python3 scripts/stackoverflow_search.py "rust lifetime" --sort votes --tagged rust --limit 10huggingface_search.py
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 |
--token | HuggingFace Token（也可通过 HF_TOKEN 环境变量设置，可选，提高限额） | — |
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 5hackernews_search.py
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, date | relevance |
--tags | HN 标签过滤：story, comment, ask_hn, show_hn | — |
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：
{
"success": true,
"query": "...",
"provider": "github|stackoverflow|hackernews",
"items": [
{"title": "...", "url": "...", "snippet": "...", ...}
],
"error": null
}© OpenSenseNova, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file
Files
SKILL.md and 6 other files (scripts) in skills/sn-search-code of OpenSenseNova/SenseNova-Skills.
- SKILL.md
- requirements.txt
- scripts/github_search.py
- scripts/hackernews_search.py
- scripts/huggingface_search.py
- scripts/search_utils.py
- scripts/stackoverflow_search.py
Open the folder on GitHubat commit 5abde96
Compare with similar skills
Sn Search Code next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.
| Skill | Stars | Used in | Tokens | Auto-check | Licence | Repo updated |
|---|---|---|---|---|---|---|
| Sn Search Code this skillOpenSenseNova/SenseNova-Skills | 5.7k | — | ~905 | Automated safety check: Notes | MIT | |
| Esmfold2JimLiu/science-skills | 227 | 4 repos | ~2.5k | Automated safety check: Pass | Apache-2.0 | |
| Publish Tracelab Huggingfaceuw-syfi/TraceLab | 138 | — | ~1.4k | Automated safety check: Pass | Apache-2.0 | |
| Discovertaishi-i/awesome-japanese-nlp-resources | 1k | — | ~6.5k | Automated safety check: Notes | CC0-1.0 | |
| News Aggregator Skilldracohu2025-cloud/draco-skills-collection | 227 | — | ~596 | Automated safety check: Pass | MIT | |
| Onboard Marinmarin-community/marin | 3.9k | — | ~1.1k | Automated safety check: Pass | Apache-2.0 |
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Related
Works with
Categories
Questions about Sn Search Code
What does Sn Search Code 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。. Sn Search Code is an agent skill from OpenSenseNova/SenseNova-Skills.
When should I use Sn Search Code?
Sn Search Code fits situations like: tasks that involve Model hubs and datasets.
How do I install Sn Search Code in Claude Code?
Run `npx skills add OpenSenseNova/SenseNova-Skills --skill sn-search-code -a claude-code`. Or copy the skill folder (skills/sn-search-code in OpenSenseNova/SenseNova-Skills) into .claude/skills/sn-search-code in your project. Claude Code loads it when a task matches its description.
How do I install Sn Search Code in Codex?
Run `npx skills add OpenSenseNova/SenseNova-Skills --skill sn-search-code -a codex`. Or copy the skill folder (skills/sn-search-code in OpenSenseNova/SenseNova-Skills) into .agents/skills/sn-search-code in your project. Codex loads it when a task matches its description.
Can I use Sn Search Code in Cursor, Gemini CLI or GitHub Copilot?
Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add OpenSenseNova/SenseNova-Skills --skill sn-search-code -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/sn-search-code, .gemini/skills/sn-search-code, .github/skills/sn-search-code and .opencode/skills/sn-search-code in your project.
What does Sn Search Code need to run?
Going by SKILL.md and its folder, Sn Search Code needs Python for the scripts in its folder, the command-line tools its instructions call (python3) and credentials named HF_TOKEN, GITHUB_TOKEN and SO_API_KEY. Our summary lists: Python 3; A credential in GITHUB_TOKEN; A credential in SO_API_KEY.
Does Sn Search Code access the network?
SKILL.md contains no URLs. Any network use would come from the scripts or tools the agent runs. This is read from the text; nothing was executed.
Is Sn Search Code safe to install?
Our automated static check of SKILL.md found notes only (mentions a .env file), nothing it rates as a warning. It is not a guarantee. The check reads SKILL.md only: the scripts in the folder are not scanned, so read them before running anything.
What licence does Sn Search Code use?
Sn Search Code is published under the MIT licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.
How many tokens does Sn Search Code use?
About 905 tokens (SKILL.md is roughly 3.6k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.
What are the alternatives to Sn Search Code?
Skills that share tags, products or a category with Sn Search Code: Esmfold2 (JimLiu/science-skills, 227 stars), Publish Tracelab Huggingface (uw-syfi/TraceLab, 138 stars), Discover (taishi-i/awesome-japanese-nlp-resources, 1k stars) and News Aggregator Skill (dracohu2025-cloud/draco-skills-collection, 227 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
Who maintains Sn Search Code?
OpenSenseNova (a GitHub organization) maintains it in OpenSenseNova/SenseNova-Skills, which has 5,743 GitHub stars. The repository holds 36 skills in this directory. The repository was last updated on September 18, 2026.
Source: OpenSenseNova/SenseNova-Skills on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.