# Aethir Claw: Skills, Advanced Settings & FAQs

### What's covered in this guide

| 🛠️ Section 1 — Skills                                        | ⚙️ Section 2 — Advanced Configurations                               | ❓ Section 3 — FAQ                                    |
| ------------------------------------------------------------- | -------------------------------------------------------------------- | ---------------------------------------------------- |
| Installing, managing and understanding all 14 built-in skills | Multi-model routing, local models, and complete config JSON examples | Answers to the most common troubleshooting questions |

***

### 1. Skills

***

#### 1.1 Installing Additional Skills

If the built-in skills don't cover your needs, you can install more from ClawHub using either of these methods:

| Method                          | How                                                                                                      |
| ------------------------------- | -------------------------------------------------------------------------------------------------------- |
| **Method 1 — Natural language** | Use the social media bot or the OpenClaw Dashboard to ask the agent to install a skill in plain English. |
| **Method 2 — Command line**     | Run: `clawhub install <skill>`                                                                           |

***

#### 1.2 Log In to ClawHub

ClawHub is OpenClaw's official public skill registry and store. Logging in enables faster installs and upgrades — without it, you may hit permission errors.

**ℹ NOTE** — ClawHub login requires a Remote Desktop connection to the cloud server. Refer to Section 2.2 of the Aethir Claw Setup Guide for setup steps.&#x20;

**Login procedure:**

1. Connect to your cloud server via Remote Desktop (see Section 2.2 of the Aethir Claw Setup Guide).
2. Open the command-line window and run:

   ```bash
   clawhub login
   ```
3. A browser window will open. Click **"Sign in with GitHub"** in the top-right corner.
4. Log in using your **GitHub, Google, or Apple** account credentials.
5. Once logged in, you will land on the ClawHub homepage.
6. Search for the skill you want to install.

**Key ClawHub commands:**

| Action            | Command                     |
| ----------------- | --------------------------- |
| Install a skill   | `clawhub install <skill>`   |
| Update all skills | `clawhub update --all`      |
| Uninstall a skill | `clawhub uninstall <skill>` |

**✔ TIP** — Example: install the Notion skill at <https://clawhub.ai/steipete/notion>

```bash
clawhub install notion
```

***

#### 1.3 Built-in Skills Reference

The following 14 skills come pre-installed on every Aethir Claw cloud server. Enable them all at once with:

```bash
sh /preclaw/pre_skills.sh
```

**Quick overview:**

| #  | Skill                  | What it does                                                                      |
| -- | ---------------------- | --------------------------------------------------------------------------------- |
| 1  | skill-vetter           | Audits ClawHub skills for safety and generates risk reports                       |
| 2  | Agent Browser          | Browser automation CLI for AI agents — uses accessibility tree (93% less context) |
| 3  | Tavily Web Search      | Real-time web search to keep agents up-to-date                                    |
| 4  | find-skills            | Lets the agent search and install skills on ClawHub autonomously                  |
| 5  | weather                | Current weather and forecasts                                                     |
| 6  | self-improving-agent   | Self-reflection, self-criticism, and continuous learning loop                     |
| 7  | summarize              | Summarise URLs or files (web, PDF, image, audio, YouTube)                         |
| 8  | Proactive Agent        | Turns the agent from reactive to proactive — anticipates needs                    |
| 9  | gog                    | Full Google suite integration (Gmail, Calendar, Drive, Docs)                      |
| 10 | Clawsec                | MITM proxy to monitor and audit AI agent traffic in real time                     |
| 11 | Multi Search Engine    | Multi-engine search with advanced operators, time filters & WolframAlpha          |
| 12 | ontology               | Typed knowledge graph for structured agent memory                                 |
| 13 | GitHub                 | Interact with GitHub via `gh` CLI (issues, PRs, CI, API)                          |
| 14 | office-automation-test | Generate daily/weekly reports, meeting minutes, and office automation             |

***

**1.3.1 skill-vetter**

**Purpose**

Audits ClawHub skills for safety. Produces a risk rating and a detailed audit report.

**Example Use Cases**

1. Review the summarize skill on ClawHub for safety: give me a risk rating and an audit report.
2. Check the safety of this skill: <https://clawhub.ai/ivangdavila/self-improving>

***

**1.3.2 Agent Browser**

**Purpose**

A browser automation command-line tool built for AI agents. Uses the accessibility tree instead of the DOM to describe pages, saving 93% of context window when an agent controls the browser.

**Prerequisites**

```bash
npx playwright install  # Install the Playwright plugin
```

**Example Use Cases**

1. Open a web page:

   ```bash
   agent-browser open https://github.com/vercel-labs/agent-browser
   ```
2. Get a page snapshot (interactive elements):

   ```bash
   agent-browser snapshot -i
   ```
3. Click an element by ref:

   ```bash
   agent-browser click @e1
   ```
4. Fill an input field:

   ```bash
   agent-browser fill @e2 "text"
   ```
5. Close the browser:

   ```bash
   agent-browser close
   ```

***

**1.3.3 Tavily Web Search**

**Purpose**

OpenClaw's "real-time information brain." An online search skill that lets agents look up the latest news and data, avoiding hallucinated answers and solving the information-lag problem.

**Setup — configure the API key:**

**ℹ NOTE** — Apply for a Tavily API key at: <https://app.tavily.com/home>&#x20;

```bash
# Open the .env file and add your key:
vim ~/.openclaw/.env
TAVILY_API_KEY=tvly-xxxxxxxxxxxxxxxxxxxxxxxx

# Apply the change and restart the gateway:
source ~/.openclaw/.env
openclaw gateway
```

**Resulting entry in `~/.openclaw/OpenClaw.json`:**

```json
"tools": {
  "profile": "full",
  "web": {
    "search": {
      "enabled": true
    }
  }
}
```

**Example Use Cases**

1. Specify result count: Search for OpenClaw installation steps — return up to 5 results.
2. Brief answer: Search for Tavily's free quota and include a short summary in the results.
3. Specify format: Search for solutions to the xdg-open command on Linux and return results in JSON format.
4. Combined: Search for AI agent trends in 2026, max 4 results, with a brief answer and official links.

***

**1.3.4 find-skills**

**Purpose**

Lets the AI Agent autonomously search ClawHub and install the skills it needs — no manual lookup required.

**Example Use Cases**

1. Find a skill that can organise my downloads folder, and install it directly once found.

***

**1.3.5 weather**

**Purpose**

Retrieves current weather conditions and forecasts for any location.

**Example Use Cases**

1. Use the weather skill to check tomorrow's weather in Beijing.
2. Query today's temperature and humidity in Beijing.

***

**1.3.6 Self-Improving Agent**

**Purpose**

Self-reflection + self-criticism + self-learning + self-organising memory. The agent evaluates its own outputs, identifies errors, and continuously improves over time.

**Example Use Cases**

1. I just finished a Python coding task — do a self-reflection and identify areas for optimisation.
2. Self-critique the copywriting result just generated, point out where it doesn't meet my requirements, and summarise improvement rules.

***

**1.3.7 summarize**

**Purpose**

Uses the summarize CLI to summarise URLs or files — web pages, PDFs, images, audio, and YouTube videos. Requires the OCR skill for image/scanned-document support.

**Example Use Cases**

1. Summarise the following content in one sentence, concise and clear: \[paste text here]
2. Summarise our recent conversation and organise the key action items.
3. Use tavily-search to find the latest news about Python AI frameworks in 2026, then use summarize to extract the key points.

***

**1.3.8 Proactive Agent**

**Purpose**

Transforms the agent from a reactive task executor into a proactive partner that anticipates needs, sends automatic reminders, and continuously improves its own behaviour.

**Example Use Cases**

1. Enable proactive agent mode to activate automatic reminders and proactive optimisation features.

***

**1.3.9 gog**

**Purpose**

Full Google suite integration — Gmail, Google Calendar, Google Drive, and Google Docs.

**ℹ NOTE** — Requires OAuth authentication on the Google Cloud Console platform before use.&#x20;

**Reference Documentation**

<https://clawhub.ai/steipete/gog>

***

**1.3.10 Clawsec**

**Purpose**

Manages ClawSec Monitor v3.0 — a MITM HTTP/HTTPS proxy that records AI agent traffic and detects data leakage and injection threats in real time.

**Example Use Cases**

1. Scan a ClawHub skill:

   ```bash
   clawsec audit github
   ```
2. Scan a local skill directory:

   ```bash
   clawsec audit /path/to/skill/dir
   ```

**Reference Documentation**

<https://clawhub.ai/chrisochrisochriso-cmyk/clawsec>

***

**1.3.11 Multi-Search Engine**

**Purpose**

A multi-engine search skill supporting advanced search operators, time filtering, site-specific search, privacy-preserving engines, and WolframAlpha knowledge base queries.

**Example Use Cases**

1. Use multi-search-engine to simultaneously search 'AI regulatory policy' on Google and Bing, then compile and compare the results.

**Reference Documentation**

<https://clawhub.ai/gpyAngyoujun/multi-search-engine>

***

**1.3.12 ontology**

**Purpose**

A typed knowledge graph for structured agent memory and composable skills. Create and query entities (people, projects, tasks, events, documents) and the relationships between them.

**Example Use Cases**

1. Organise the module dependency graph for a complex project.

**Reference Documentation**

<https://clawhub.ai/oswalpalash/ontology>

***

**1.3.13 GitHub**

**Purpose**

Interact with GitHub using the `gh` CLI — handle issues, submit PRs, run CI pipelines, and perform advanced API queries.

**Authentication setup:**

```bash
# Install gh:
sudo apt install gh   # Ubuntu/Debian
brew install gh       # macOS

# Login (interactive):
gh auth login

# Token authentication:
# Go to GitHub → Settings → Developer settings → Personal access tokens
# Create a Fine-grained token with required permissions
# (repo, issues, pull_requests, actions)

gh auth login --with-token < your-github-token-file

# Or paste directly:
echo "your-token" | gh auth login --with-token
```

**Example use cases — natural language to `gh` command:**

| Category            | Natural Language Command                                  | Equivalent `gh` Command                                             |
| ------------------- | --------------------------------------------------------- | ------------------------------------------------------------------- |
| PR Management       | Check the CI status of PR 55 in owner/repo                | `gh pr checks 55 --repo owner/repo`                                 |
| Workflow Monitoring | List the 10 most recent GitHub Actions runs in owner/repo | `gh run list --repo owner/repo --limit 10`                          |
| Failure Analysis    | View failed step logs for run ID xxx in owner/repo        | `gh run view xxx --repo owner/repo --log-failed`                    |
| Issue Management    | List all issue titles in owner/repo in JSON format        | `gh issue list --repo owner/repo --json title`                      |
| Advanced API        | Get the title, status, and submitter of PR 55             | `gh api repos/owner/repo/pulls/55 --jq '.title,.state,.user.login'` |

**Reference Documentation**

<https://clawhub.ai/steipete/github>

***

**1.3.14 office-automation-test**

**Purpose**

Quickly generates standardised daily reports, weekly reports, and meeting minutes. Supports custom formatting based on key inputs, and integrates office APIs for broader automation.

**Capabilities:**

| Capability          | Description                          |
| ------------------- | ------------------------------------ |
| Calendar management | Create meetings, set reminders       |
| Email handling      | Categorise, organise, and auto-reply |
| Document editing    | Generate reports, adjust formatting  |
| Data processing     | Excel analysis, chart generation     |

**ℹ NOTE** — Some capabilities require a corresponding API key for the integrated service.&#x20;

**Reference Documentation**

<https://clawhub.ai/earlyyuokubgw25-coder/office-automation-test>

***

### 2. Multi-Model Routing & Advanced Configuration

This section covers how to configure multi-model routing in `openclaw.json` to optimise cost and performance. All configuration lives in `~/.openclaw/openclaw.json`.

**⚠ IMPORTANT** — This is advanced usage. Familiarity with JSON and LLM model identifiers is assumed. Misconfigured files can prevent OpenClaw from starting — always keep a backup copy before editing.&#x20;

***

#### 2.1 openclaw\.json — Configuration Reference

The table below explains the key fields in the `agents.defaults` block, which controls global model behaviour.

| Field                           | Description                                                                                                                                  |
| ------------------------------- | -------------------------------------------------------------------------------------------------------------------------------------------- |
| `system`                        | String. The system prompt injected into every session. Defines the agent's global behaviour, collaboration process, and output style.        |
| `model.primary`                 | String. The main model to use, e.g. `"anthropic/claude-opus-4-5"`. This model handles all requests by default.                               |
| `model.fallbacks`               | Array. Ordered list of backup models used if the primary is unavailable or rate-limited.                                                     |
| `models`                        | Object. Maps model identifiers to short aliases usable with the `/model` command, e.g. `{ "anthropic/claude-opus-4-5": { alias: "opus" } }`. |
| `heartbeat.every`               | String. Interval for background keep-alive pings, e.g. `"30m"`. Uses a cheap model to avoid token waste.                                     |
| `heartbeat.model`               | String. Model used for heartbeat pings. Use a low-cost model such as `"google/gemini-2.5-flash-lite"`.                                       |
| `subagents.model`               | String. Model used by sub-agents for background tasks (search, extract, calculate). Use a cost-effective model.                              |
| `subagents.maxConcurrent`       | Integer. Maximum number of sub-agents running simultaneously. Higher = faster but more token cost.                                           |
| `subagents.archiveAfterMinutes` | Integer. Minutes of inactivity before a sub-agent session is archived.                                                                       |
| `subagents.system`              | String. System prompt for sub-agents — keep them focused on execution, not commentary.                                                       |
| `imageModel.primary`            | String. Model used for vision/image tasks. Recommended: `"google/gemini-3-flash"`.                                                           |
| `contextTokens`                 | Integer. Maximum context window size in tokens. Set based on your chosen model's limit, e.g. `200000`.                                       |

**Annotated configuration snippet:**

```json
// ~/.openclaw/openclaw.json
{
  "agents": {
    "defaults": {

      // Global system prompt — defines agent behaviour and output rules
      "system": "You are a top AI expert with multi-model collaboration capabilities...",

      // Primary model with ordered fallback chain
      "model": {
        "primary": "anthropic/claude-opus-4-5",
        "fallbacks": [
          "openai/gpt-5.2",
          "deepseek/deepseek-reasoner",
          "google/gemini-3-flash"
        ]
      },

      // Short aliases for /model command
      "models": {
        "anthropic/claude-opus-4-5":  { "alias": "opus"   },
        "anthropic/claude-sonnet-4-5":{ "alias": "sonnet" },
        "google/gemini-3-flash":      { "alias": "flash"  },
        "deepseek/deepseek-chat":     { "alias": "ds"     }
      },

      // Cheap model for background heartbeat pings every 30 minutes
      "heartbeat": {
        "every": "30m",
        "model": "google/gemini-2.5-flash-lite",
        "target": "last"
      },

      // Sub-agents use a cost-effective model for background tasks
      "subagents": {
        "model": "deepseek/deepseek-reasoner",
        "maxConcurrent": 1,          // One task at a time — balances cost & speed
        "archiveAfterMinutes": 60,
        "system": "You are an efficient execution unit. Focus on the task..."
      },

      // Vision tasks (optional)
      "imageModel": {
        "primary": "google/gemini-3-flash",
        "fallbacks": ["openai/gpt-5.2"]
      },

      "contextTokens": 200000        // Maximum context token count
    }
  }
}
```

***

#### 2.2 Mixing Local and Online Models

You can route expensive tasks to capable cloud models while using a free local model (e.g. Ollama) for sub-agent background work. This significantly reduces API costs.

```json
{
  "agents": {
    "defaults": {
      "model": {
        "primary":   "anthropic/claude-3-5-sonnet", // Smart cloud model for main tasks
        "fallbacks": ["openai/gpt-4o"]               // Cloud fallback
      },
      "subagents": {
        "model":               "local/llama-3:8b",  // Free local model for background tasks
        "maxConcurrent":       2,                   // More concurrency — no API cost
        "archiveAfterMinutes": 30
      },
      "contextTokens": 128000
    }
  }
}
```

**✔ TIP** — Running a local model via Ollama on your Aethir Claw server means sub-agent calls are completely free. Set `maxConcurrent` higher (e.g. 3–4) to parallelise background work without worrying about token costs.&#x20;

***

#### 2.3 Complete openclaw\.json Example

A full, working configuration file showing all major sections. Replace placeholder values (marked `xxxxxxxx`) with your actual credentials.

```json
{
  "meta": {
    "lastTouchedVersion": "2026.3.8",
    "lastTouchedAt": "2026-03-11T10:57:01.076Z"
  },
  "wizard": {
    "lastRunAt": "2026-03-11T09:58:01.176Z",
    "lastRunVersion": "2026.3.8",
    "lastRunCommand": "doctor",
    "lastRunMode": "local"
  },
  "browser": {
    "enabled": true,
    "executablePath": "/usr/bin/chromium",
    "headless": true,
    "noSandbox": true,
    "attachOnly": false,
    "defaultProfile": "openclaw"
  },
  "auth": {
    "profiles": {
      "openrouter:default": { "provider": "openrouter", "mode": "api_key" }
    }
  },
  "models": {
    "mode": "merge",
    "providers": {
      "kimi-k2-5": {
        "baseUrl": "https://integrate.api.nvidia.com/v1",
        "apiKey":  "nvapi-xxxxxxxx",
        "api":     "openai-completions",
        "models": [{
          "id":            "moonshotai/kimi-k2.5",
          "name":          "moonshotai/kimi-k2.5 (Custom Provider)",
          "reasoning":     false,
          "input":         ["text"],
          "cost":          { "input": 0, "output": 0, "cacheRead": 0, "cacheWrite": 0 },
          "contextWindow": 16000,
          "maxTokens":     4096
        }]
      },
      "openrouter": {
        "baseUrl": "https://openrouter.ai/api/v1",
        "apiKey":  "sk-or-v1-xxxxxxxxxxxxxxxx",
        "api":     "openai-completions",
        "models":  [{ "id": "openrouter/auto", "name": "OpenRouter Auto", "input": ["text","image"] }]
      }
    }
  },
  "agents": {
    "defaults": {
      "model": {
        "primary":   "kimi-k2-5/moonshotai/kimi-k2.5",
        "fallbacks": ["openrouter/openrouter/auto"]
      },
      "models": {
        "openrouter/openrouter/auto":      { "alias": "OpenRouter" },
        "kimi-k2-5/moonshotai/kimi-k2.5": { "alias": "nv.k2.5"   }
      },
      "workspace":  "/config/.openclaw/workspace",
      "compaction": { "mode": "safeguard" },
      "heartbeat":  { "every": "30m", "model": "openrouter/openrouter/auto", "target": "last" },
      "maxConcurrent": 4,
      "subagents": {
        "maxConcurrent":       1,
        "archiveAfterMinutes": 60,
        "model":               "kimi-k2-5/moonshotai/kimi-k2.5"
      }
    }
  },
  "tools":    { "profile": "coding" },
  "messages": { "ackReactionScope": "group-mentions" },
  "commands": { "native": "auto", "nativeSkills": "auto", "restart": true, "ownerDisplay": "raw" },
  "session":  { "dmScope": "per-channel-peer" },
  "channels": {
    "whatsapp": {
      "enabled":      true,
      "dmPolicy":     "allowlist",
      "selfChatMode": true,
      "allowFrom":    ["xxxxxxx"],   // Your phone number
      "groupPolicy":  "allowlist",
      "debounceMs":   0,
      "mediaMaxMb":   50
    }
  },
  "gateway": {
    "port": 18789,
    "mode": "local",
    "bind": "loopback",
    "auth": { "mode": "token", "token": "xxxxxxxxxxxxxxxxxxxxxxxxx" },
    "tailscale": { "mode": "off", "resetOnExit": false },
    "nodes": {
      "denyCommands": [
        "camera.snap", "camera.clip", "screen.record",
        "contacts.add", "calendar.add", "reminders.add", "sms.send"
      ]
    }
  },
  "skills":  { "entries": { "tavily":   { "enabled": true } } },
  "plugins": { "entries": { "whatsapp": { "enabled": true } } }
}
```

***

### 3. Frequently Asked Questions

This section covers the most common issues users encounter. If your problem is not listed here, contact Aethir Cloud support via email.

***

#### Q: Why can't I SSH into the cloud server even after configuring the SSH key?

1. Verify the SSH command syntax: confirm that `-p PORT abc@PUBLICIP` is correct. Check the Public IP and Port under the **Network** tab in **My Instances**.
2. Confirm the public key has been added to the cloud server under the **SSH Key** tab in **My Instances**.
3. Check that the private key filename after `-i` in your SSH command matches the public key configured on the server.
4. Make sure you run the SSH command from the directory where the private key file is stored. Use `cd` to navigate there first — then you can specify just the filename without the full path.
5. If the error mentions `known_hosts`, `Host key has changed`, or `Host key verification failed`:

   Open the `known_hosts` file in your `.ssh` directory with a text editor, find and delete all lines containing the IP address you're connecting to, then try again.

**⚠ IMPORTANT** — Example error:

```
Add correct host key in C:\Users\Administrator/.ssh/known_hosts
Offending ECDSA key in C:\Users\Administrator/.ssh/known_hosts:10
Host key for [128.14.78.5]:10231 has changed and you have requested strict checking.
Host key verification failed.
```

**Fix:** delete the offending line from `known_hosts` and retry.&#x20;

***

#### Q: Why does the Telegram bot not respond after I configure it?

1. Check whether the OpenClaw Gateway is running. Connect via SSH and restart it:

   ```bash
   # Find and stop any existing gateway process:
   ps -ef | grep openclaw-gateway
   kill -9 <PID>

   # Start gateway in background (nohup keeps it running after terminal closes):
   nohup openclaw gateway > nohup.out 2>&1 &

   # Press Control+C to exit — the gateway continues running.
   ```
2. If the bot still doesn't respond, the Telegram token may be incorrect. Reconfigure it following the steps in **Section 1.5.1 of the Aethir Claw Setup Guide**.

***

#### Q: When logging in via email, why can't I receive the verification code?

1. If your email is a Gmail address, log in directly using **Google Authentication** — both methods work identically as long as the address is valid.
2. If your email is not a Gmail address and Google Authentication is not available, contact **AethirCloudClaw technical support** for assistance.

***

#### Q: What is the network bandwidth for my cloud server?

1. Dedicated bandwidth limits: **Elite** — 15 Mbps · **Standard** — 8 Mbps · **Lite** — 4 Mbps.
2. During the MVP phase, bandwidth is enhanced: **Standard** — 15 Mbps shared across 2 connections · **Lite** — 15 Mbps shared across 3 connections.

***

#### Q: How can I increase the network bandwidth for my cloud server?

1. Bandwidth cannot be individually adjusted on request. If you have special requirements, please contact customer service by email.

***

#### Q: Why is my remote desktop (RDP) connection so laggy?

1. Test the bandwidth between your local network and the cloud server region (US or Japan). Minimum requirements for smooth RDP: stable bandwidth **≥ 5 Mbps** and packet loss rate **< 1%**.
2. Consider upgrading to the **Elite** plan. The Lite plan provides only 5 Mbps, and cross-country RDP typically experiences lag at that bandwidth.

***

#### Q: Why is my Telegram bot returning an "LLM request timeout" error?

1. This usually means your LLM API key has **exhausted its token quota**. Top up your balance on the provider's platform.
2. Alternatively, run `openclaw configure` to reconfigure or switch the API key.

***

#### Q: How do I add more port mappings to my cloud server?

1. For security, each cloud server instance exposes only **one SSH port** by default. All other inbound ports are blocked.
2. To expose additional ports, contact our customer service team by email, describe your use case, and our technical staff will assist offline.

***

#### Q: How is the security of the cloud server environment ensured?

1. **Hardware-level port control:** only one SSH port is open per instance; all other inbound ports are strictly blocked.
2. **Network-level bandwidth throttling** prevents any single server from monopolising shared bandwidth.
3. **Cross-instance communication is disabled** at the data centre network level — servers are physically isolated from each other.
4. **Virtualisation isolation** enforces strict user permission controls. Even if a user bypassed the container, access would be limited to that instance's own resources.
5. **CPU, memory, and disk resources are physically isolated** per instance at startup — no resource contention between servers.
6. The **platform monitoring system** continuously watches the data centre network. Anomalies trigger targeted alerts; exceeding thresholds results in automatic IP blacklisting.

***

#### Q: Can I renew my subscription after the lease expires?

1. When your lease expires, the instance is **forcibly shut down**. During the **7-day grace period**, renewing the lease reactivates the instance and restores all data.
2. Once the grace period has passed, the system **automatically erases all data** on the server. This erasure is **permanent and irreversible**.

***

#### Q: Does the cloud server support image snapshots?

1. Snapshots are **not supported** in the current MVP version. This feature is planned for the upcoming **V1.0 release**.

***

#### Q: My cloud server instance has changed to "Error" status — what should I do?

1. An "Error" status is extremely rare and is typically caused by a hardware network failure or system malfunction. **Contact our customer service team immediately** — they will resolve it as quickly as possible.
2. The AethirCloud monitoring system detects errors in real time and alerts the technical team within **15 minutes**. The team commits to responding and resolving within **30 minutes**.
3. Even in an "Error" state, **user data is generally preserved**. Once the issue is resolved, the instance will resume normal operation.

***

*End of Manual · For setup instructions, see the Aethir Claw Setup Guide*