AnySearch Skill

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Unified real-time search engine skill for AI agents. Supports general web search, vertical domain search, parallel batch search, and full-page content extraction.

[IMPORTANT!] Registration instructions can be found in this section: ### Register for an API Key (Recommended)

Get started in 30 seconds: Register with just an email address. The AI agent will complete the whole process automatically, no verification code required.

Jump to registration steps →

Download & Install

For AI Agents

If your agent platform supports a skill marketplace/store, search for anysearch and install from there. Otherwise, download and install manually:

# Download a pinned release (recommended). Replace v3.0.1 with the latest tag
# from https://github.com/anysearch-ai/anysearch-skill/releases
curl -L -o anysearch-skill.zip https://github.com/anysearch-ai/anysearch-skill/archive/refs/tags/v3.0.1.zip
# or: wget -O anysearch-skill.zip https://github.com/anysearch-ai/anysearch-skill/archive/refs/tags/v3.0.1.zip
# (For the latest unreleased changes, use .../archive/refs/heads/main.zip instead.)

# Unzip — creates a directory named anysearch-skill-<ref>, e.g. anysearch-skill-3.0.1
unzip anysearch-skill.zip

# Move it to your agent's skill directory, renaming it to "anysearch".
# Adjust the source directory name to match the ref you downloaded.
# Claude Code:     mv anysearch-skill-3.0.1 ~/.claude/skills/anysearch
# OpenCode:        mv anysearch-skill-3.0.1 ~/.config/opencode/skills/anysearch
# Cursor/Windsurf: mv anysearch-skill-3.0.1 <project>/.skills/anysearch
# Generic:         mv anysearch-skill-3.0.1 <your_agent_skill_dir>/anysearch
# Shared agents:   mv anysearch-skill-3.0.1 ~/.agents/skills/anysearch

~/.agents/skills/ is a useful shared install location when multiple AI tools read from the same skill directory, including Codex, Cursor, and OpenClaw personal agent skills.

For Humans

1. Download the latest release zip: https://github.com/anysearch-ai/anysearch-skill/releases
2. Unzip to your agent's skill directory
3. Configure API key (see below)
4. Run the entry test to verify installation

API Key Configuration

An API key is optional but strongly recommended. Without a key, you can still use all search features via anonymous access, but with lower rate limits and quota.

Register for an API Key (Recommended)

The agent can register the user and obtain an API key in a single call — no verification code, no manual signup. Ask the user for a real email address: it becomes the account username, and a randomly generated password is emailed to it.

curl -s -X POST "https://api.anysearch.com/v1/auth/email/register" \
  -H "Content-Type: application/json" \
  -d '{"email": "you@example.com"}'

Success response (code: 0) returns the account info and a one-time plaintext API key:

{
  "code": 0,
  "message": "success",
  "data": {
    "username": "you@example.com",
    "email": "you@example.com",
    "login_url": "https://www.anysearch.com/login",
    "api_key": {
      "id": "key_xxxxxxxx",
      "key": "as_sk_xxxxxxxxxxxxxxxxxxxxxxxxxxxxxx",
      "key_prefix": "as_sk_xxxxxx...",
      "name": "default",
      "rate_limit": 100,
      "quota_limit": 0,
      "expires_at": null,
      "created_at": "2026-06-23T10:23:00Z"
    }
  }
}

On success the agent MUST:

1. Write data.api_key.key to .env as ANYSEARCH_API_KEY=<key> — it is shown only once (it can also be retrieved later from the dashboard).
2. Tell the user their username (= email), the login_url, and that a random password has been emailed to that address.
3. Relay this note to the user: A verification email has been sent to your inbox. If you don't see it within a few minutes, please check your spam or junk folder. You may need to mark it as "Not Spam" to ensure future emails arrive correctly.

Error handling (always code: -1 on error; branch on the message string):

message	what to do
Invalid email address.	ask the user to re-enter the email
email_already_registered	email is taken — tell the user to sign in at login_url; do not retry
contains Rate limited	read retry seconds from message (e.g. "Rate limited, retry after 300 seconds."), wait, then retry
starts with Key creation failed.	account created but key failed — extract the email and URL from the message ("Key creation failed. Your account <email> was created; sign in at <url>.") and tell the user to sign in there to create a key manually
Internal server error.	retry later or fall back to anonymous

The email must be real and reachable — the password is delivered there. There is no verification code in this flow; the agent only ever asks for an email. Registration and anonymous use are mutually exclusive; once the user picks one, don't switch mid-flow.

How to configure

Copy the example env file and fill in your key:

cp .env.example .env
# Edit .env and set: ANYSEARCH_API_KEY=<your_api_key_here>

Or set the environment variable directly:

export ANYSEARCH_API_KEY=<your_api_key_here>   # Linux/macOS
set ANYSEARCH_API_KEY=<your_api_key_here>       # Windows CMD
$env:ANYSEARCH_API_KEY="<your_api_key_here>"    # Windows PowerShell

Get an API Key

Visit https://anysearch.com/console/api-keys to sign up and create a free API key.

Key priority order: --api_key CLI flag > .env file > environment variable > anonymous

Post-Install Verification

After installation, probe the platform and run the entry test:

Step 1: Detect available runtime

Run these checks in order. The first success determines the active CLI:

# Check Python (recommended)
python --version   # Need >= 3.6, requires `requests` library
python3 --version  # Need >= 3.6, requires `requests` library
# Check Node.js (alternative)
node --version     # Need >= 12, no external dependencies
# Check Shell (fallback)
# Windows: PowerShell 5.1+ / Linux/macOS: bash 3.2+ (also requires jq and curl)

Priority: Python > Node.js > Shell

Important: do not assume python exists. On many macOS systems, the correct executable is python3. Check both python and python3; if either works, Python is available.

Step 2: Run entry test (probe all available runtimes)

Run the doc command with each available runtime to verify the skill works, and observe which runs without errors or warnings:

# Python
python <skill_dir>/scripts/anysearch_cli.py doc

# Python 3 fallback (common on macOS)
python3 <skill_dir>/scripts/anysearch_cli.py doc

# Node.js (if available)
node <skill_dir>/scripts/anysearch_cli.js doc

# PowerShell (Windows)
powershell -ExecutionPolicy Bypass -File <skill_dir>/scripts/anysearch_cli.ps1 doc

# Bash (Linux/macOS)
bash <skill_dir>/scripts/anysearch_cli.sh doc

For each runtime, record whether the command succeeded and any errors/warnings encountered. The runtime that completes without errors and produces the cleanest output is the recommended runtime for this environment.

Step 3: Persist recommended runtime to configuration file

Based on the entry test results, write the recommended runtime to <skill_dir>/runtime.conf:

echo "Runtime: <RUNTIME>" > <skill_dir>/runtime.conf
echo "Command: <COMMAND>" >> <skill_dir>/runtime.conf

Example for Python:

echo "Runtime: Python" > <skill_dir>/runtime.conf
echo "Command: python <skill_dir>/scripts/anysearch_cli.py" >> <skill_dir>/runtime.conf

Example for Python 3:

echo "Runtime: Python" > <skill_dir>/runtime.conf
echo "Command: python3 <skill_dir>/scripts/anysearch_cli.py" >> <skill_dir>/runtime.conf

Example for Node.js:

echo "Runtime: Node.js" > <skill_dir>/runtime.conf
echo "Command: node <skill_dir>/scripts/anysearch_cli.js" >> <skill_dir>/runtime.conf

Example for PowerShell:

echo "Runtime: PowerShell" > <skill_dir>/runtime.conf
echo "Command: powershell -ExecutionPolicy Bypass -File <skill_dir>/scripts/anysearch_cli.ps1" >> <skill_dir>/runtime.conf

Example for Bash:

echo "Runtime: Bash" > <skill_dir>/runtime.conf
echo "Command: bash <skill_dir>/scripts/anysearch_cli.sh" >> <skill_dir>/runtime.conf

Important: Runtime preferences are stored in runtime.conf, NOT in SKILL.md. The agent reads runtime.conf on skill load to determine the active CLI. If the file is missing or corrupted, the agent falls back to the Platform Detection procedure in SKILL.md. If runtime.conf already exists, replace it instead of appending.

Routine agent usage

After runtime.conf exists, agents should use the stored Command directly for routine calls instead of running doc before every search. For example, if runtime.conf contains Command: python3 <skill_dir>/scripts/anysearch_cli.py, use:

python3 <skill_dir>/scripts/anysearch_cli.py search "query" --max_results 5
python3 <skill_dir>/scripts/anysearch_cli.py batch_search --queries '[{"query":"q1","max_results":5},{"query":"q2","max_results":5}]'
python3 <skill_dir>/scripts/anysearch_cli.py extract "https://example.com/page"
python3 <skill_dir>/scripts/anysearch_cli.py extract --url "https://example.com/page"

extract output is already Markdown. Do not pass --format markdown, --format json, or --markdown; the extract command only accepts the URL positional argument or --url/-u. If a subcommand argument is unclear or fails, run <command> <subcommand> --help for that subcommand rather than the full doc command.

Step 4 (optional): Test a real search

python <skill_dir>/scripts/anysearch_cli.py search "hello world" --max_results 1

If your system does not provide python, use:

python3 <skill_dir>/scripts/anysearch_cli.py search "hello world" --max_results 1

A successful JSON response confirms the API connection is working.

File Structure

anysearch-skill/              # renamed to "anysearch" on install (see above)
├── .env.example              # API key configuration template
├── .env                      # Your API key (gitignored; create from .env.example)
├── runtime.conf.example      # Runtime configuration template
├── runtime.conf              # Detected runtime preferences (gitignored; created at install)
├── SKILL.md                  # Skill definition for AI agents
├── README.md                 # This file
├── SECURITY.md               # Security policy / vulnerability reporting
└── scripts/
    ├── anysearch_cli.py      # Python CLI
    ├── anysearch_cli.js      # Node.js CLI
    ├── anysearch_cli.ps1     # PowerShell CLI
    ├── anysearch_cli.sh      # Bash CLI
    ├── generate.py           # Regenerates the shared blocks in the 4 CLIs
    └── shared/               # Single source of truth read by the CLIs
        ├── constants.json    # Domain list + endpoint
        └── doc_spec.md       # AI-facing interface spec (rendered by `doc`)