Agent Builder
shareAI-lab/learn-claude-code
Design and build AI agents for any domain. An agent skill from shareAI-lab/learn-claude-code.
Search the public web through Serper instead of the built-in WebSearch tool.
$ npx skills add agentscope-ai/ReMe --skill serper-search -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install agentscope-ai/ReMe serper-search --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/agentscope-ai/ReMe.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/serper-search .claude/skills/serper-search && 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 "serper-search" agent skill from https://github.com/agentscope-ai/ReMe/tree/main/skills/serper-search into .claude/skills/serper-search/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "serper-search", 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/agentscope-ai/ReMe/tree/main/skills/serper-searchType 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 agentscope-ai/ReMe --skill serper-search -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install agentscope-ai/ReMe serper-search --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/agentscope-ai/ReMe.git skills-src && mkdir -p .agents/skills && cp -r skills-src/skills/serper-search .agents/skills/serper-search && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "serper-search" agent skill from https://github.com/agentscope-ai/ReMe/tree/main/skills/serper-search into .agents/skills/serper-search/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "serper-search", 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 agentscope-ai/ReMe --skill serper-search -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install agentscope-ai/ReMe serper-search --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/agentscope-ai/ReMe.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/skills/serper-search .cursor/skills/serper-search && 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 "serper-search" agent skill from https://github.com/agentscope-ai/ReMe/tree/main/skills/serper-search into .cursor/skills/serper-search/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "serper-search", 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/agentscope-ai/ReMe.git --path skills/serper-search--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 agentscope-ai/ReMe --skill serper-search -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install agentscope-ai/ReMe serper-search --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/agentscope-ai/ReMe.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/skills/serper-search .gemini/skills/serper-search && 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 "serper-search" agent skill from https://github.com/agentscope-ai/ReMe/tree/main/skills/serper-search into .gemini/skills/serper-search/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "serper-search", 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 agentscope-ai/ReMe serper-searchInstalls 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 agentscope-ai/ReMe --skill serper-search -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/agentscope-ai/ReMe.git skills-src && mkdir -p .github/skills && cp -r skills-src/skills/serper-search .github/skills/serper-search && 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 "serper-search" agent skill from https://github.com/agentscope-ai/ReMe/tree/main/skills/serper-search into .github/skills/serper-search/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "serper-search", 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 agentscope-ai/ReMe --skill serper-search -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install agentscope-ai/ReMe serper-search --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/agentscope-ai/ReMe.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/skills/serper-search .opencode/skills/serper-search && 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 "serper-search" agent skill from https://github.com/agentscope-ai/ReMe/tree/main/skills/serper-search into .opencode/skills/serper-search/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "serper-search", 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.
serper-searchSearch the public web through Serper instead of the built-in WebSearch tool.
Serper Search is an agent skill from agentscope-ai/ReMe. Search the public web through Serper instead of the built-in WebSearch tool. Use when an agent needs current information, general web sources, or URLs not available from local files and project APIs. SERPERAPIKEY is available in the environment.
Its SKILL.md is about 460 tokens, which your agent loads only when the skill is triggered. It is a single SKILL.md file with no bundled scripts.
It sits in AI & LLM Engineering. The repository describes itself as: ReMe: Memory Management Kit for Agents - Remember Me, Refine Me. The licence is Apache-2.0.
3 steps, taken from the first numbered list in SKILL.md.
Read from SKILL.md and the folder at commit c1de31a. It shows what the files ask for, not the result of running them.
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.
Shell commands in SKILL.md call:
curlFrom the folder's file list and the shell code blocks in SKILL.md.
Hosts in commands or code, which the agent is likely to contact:
google.serper.devFrom URLs in SKILL.md, links to its own repository left out.
Names these keys or tokens, usually read from environment variables:
SERPER_API_KEYFrom names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.
Serper Search loads about 459 tokens when it runs. Until then it costs about 65 tokens; SKILL.md has 184 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.
The automated check found no risky patterns in SKILL.md.
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); files beside SKILL.md are not scanned.
The full file from agentscope-ai/ReMe at commit c1de31a, republished under its Apache-2.0 licence (© agentscope-ai). 184 words, ~459 tokens.
.claude/skills/serper-search/SKILL.md (or your agent's skills folder).Use Serper whenever external web search is needed. Prefer local files and project APIs when they already contain the required information.
POST https://google.serper.dev/searchX-API-KEY: $SERPER_API_KEYapplication/json{"q":"query text"}curl -s --location "https://google.serper.dev/search" \
--header "X-API-KEY: $SERPER_API_KEY" \
--header "Content-Type: application/json" \
--data '{"q":"apple inc"}'organic results for normal search answers.searchParameters to confirm the query actually sent.credits as usage accounting.SERPER_API_KEY is missing or invalid without printing its value.© agentscope-ai, Apache-2.0. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file
Just SKILL.md in skills/serper-search of agentscope-ai/ReMe.
Open the folder on GitHubat commit c1de31a
Serper Search 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 |
|---|---|---|---|---|---|---|
| Serper Search this skillagentscope-ai/ReMe | 3.6k | — | ~459 | Automated safety check: Pass | Apache-2.0 | |
| Agent BuildershareAI-lab/learn-claude-code | 78k | 4 repos | ~1.2k | Automated safety check: Pass | MIT | |
| Add Uint Supportpytorch/pytorch | 104k | 2 repos | ~2.3k | Automated safety check: Pass | Custom licence | |
| LLM Benchmarking with lm-evaluation-harnessOrchestra-Research/AI-Research-SKILLs | 13k | 8 repos | ~3k | Automated safety check: Pass | MIT | |
| Segment Anything Model GuideOrchestra-Research/AI-Research-SKILLs | 13k | 8 repos | ~3.3k | Automated safety check: Pass | MIT | |
| 1passwordtrpc-group/trpc-agent-go | 1.9k | 14 repos | ~656 | Automated safety check: Pass | Apache-2.0 |
shareAI-lab/learn-claude-code
Design and build AI agents for any domain. An agent skill from shareAI-lab/learn-claude-code.
pytorch/pytorch
Add unsigned integer (uint) type support to PyTorch operators by updating ATDISPATCH macros.
Orchestra-Research/AI-Research-SKILLs
Runs lm-evaluation-harness to benchmark language models on academic suites such as MMLU, GSM8K and HumanEval, compare models and track training checkpoints.
Orchestra-Research/AI-Research-SKILLs
Guide to using Meta's Segment Anything Model for zero-shot image segmentation with point, box or mask prompts, or automatic mask generation.
trpc-group/trpc-agent-go
Set up and use 1Password CLI (op). An agent skill from trpc-group/trpc-agent-go.
jarrodwatts/claude-code-config
Transforms workflow to use Manus-style persistent markdown files for planning, progress tracking, and knowledge storage.
agentscope-ai/ReMe
钉钉消息发送技能。支持企业内部机器人(批量单聊/群聊)和 Webhook 自定义机器人两种接入方式,支持多机器人管理,支持文本、Markdown、链接、ActionCard、FeedCard等多种消息类型。
agentscope-ai/ReMe
Use ReMe as file-native long-term memory in Claude Code. An agent skill from agentscope-ai/ReMe.
Categories
Search the public web through Serper instead of the built-in WebSearch tool. Serper Search is an agent skill from agentscope-ai/ReMe. Search the public web through Serper instead of the built-in WebSearch tool.
Serper Search fits situations like: an agent needs current information; general web sources; URLs not available from local files and project APIs.
Run `npx skills add agentscope-ai/ReMe --skill serper-search -a claude-code`. Or copy the skill folder (skills/serper-search in agentscope-ai/ReMe) into .claude/skills/serper-search in your project. Claude Code loads it when a task matches its description.
Run `npx skills add agentscope-ai/ReMe --skill serper-search -a codex`. Or copy the skill folder (skills/serper-search in agentscope-ai/ReMe) into .agents/skills/serper-search in your project. Codex loads it when a task matches its description.
Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add agentscope-ai/ReMe --skill serper-search -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/serper-search, .gemini/skills/serper-search, .github/skills/serper-search and .opencode/skills/serper-search in your project.
Going by SKILL.md and its folder, Serper Search needs the command-line tools its instructions call (curl) and credentials named SERPER_API_KEY. Our summary lists: A credential in SERPER_API_KEY.
SKILL.md names 1 domain. In commands or code: google.serper.dev; the agent is likely to contact it when it follows the instructions. This is read from the text; nothing was executed.
Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. Review the folder before installing.
Serper Search is published under the Apache-2.0 licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.
About 459 tokens (SKILL.md is roughly 1.8k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.
Skills that share tags, products or a category with Serper Search: Agent Builder (shareAI-lab/learn-claude-code, 78k stars), Add Uint Support (pytorch/pytorch, 104k stars), LLM Benchmarking with lm-evaluation-harness (Orchestra-Research/AI-Research-SKILLs, 13k stars) and Segment Anything Model Guide (Orchestra-Research/AI-Research-SKILLs, 13k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
agentscope-ai (a GitHub organization) maintains it in agentscope-ai/ReMe, which has 3,570 GitHub stars. The repository holds 3 skills in this directory. The repository was last updated on October 9, 2026.
Source: agentscope-ai/ReMe on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.