prometheus

Query Prometheus monitoring data to check server metrics, resource usage, and system health. Use when the user asks about server status, disk space, CPU/memory usage, network stats, or any metrics collected by Prometheus. Supports multiple Prometheus instances with aggregated queries, config file or environment variables, and HTTP Basic Auth.

3,891 stars

Best use case

prometheus is best used when you need a repeatable AI agent workflow instead of a one-off prompt.

Query Prometheus monitoring data to check server metrics, resource usage, and system health. Use when the user asks about server status, disk space, CPU/memory usage, network stats, or any metrics collected by Prometheus. Supports multiple Prometheus instances with aggregated queries, config file or environment variables, and HTTP Basic Auth.

Teams using prometheus should expect a more consistent output, faster repeated execution, less prompt rewriting.

When to use this skill

  • You want a reusable workflow that can be run more than once with consistent structure.

When not to use this skill

  • You only need a quick one-off answer and do not need a reusable workflow.
  • You cannot install or maintain the underlying files, dependencies, or repository context.

Installation

Claude Code / Cursor / Codex

$curl -o ~/.claude/skills/prometheus/SKILL.md --create-dirs "https://raw.githubusercontent.com/openclaw/skills/main/skills/akellacom/prometheus/SKILL.md"

Manual Installation

  1. Download SKILL.md from GitHub
  2. Place it in .claude/skills/prometheus/SKILL.md inside your project
  3. Restart your AI agent — it will auto-discover the skill

How prometheus Compares

Feature / AgentprometheusStandard Approach
Platform SupportNot specifiedLimited / Varies
Context Awareness High Baseline
Installation ComplexityUnknownN/A

Frequently Asked Questions

What does this skill do?

Query Prometheus monitoring data to check server metrics, resource usage, and system health. Use when the user asks about server status, disk space, CPU/memory usage, network stats, or any metrics collected by Prometheus. Supports multiple Prometheus instances with aggregated queries, config file or environment variables, and HTTP Basic Auth.

Where can I find the source code?

You can find the source code on GitHub using the link provided at the top of the page.

Related Guides

SKILL.md Source

# Prometheus Skill

Query Prometheus monitoring data from one or multiple instances. Supports federation across multiple Prometheus servers with a single command.

## Quick Start

### 1. Initial Setup

Run the interactive configuration wizard:

```bash
cd ~/.openclaw/workspace/skills/prometheus
node scripts/cli.js init
```

This will create a `prometheus.json` config file in your OpenClaw workspace (`~/.openclaw/workspace/prometheus.json`).

### 2. Start Querying

```bash
# Query default instance
node scripts/cli.js query 'up'

# Query all instances at once
node scripts/cli.js query 'up' --all

# List configured instances
node scripts/cli.js instances
```

## Configuration

### Config File Location

By default, the skill looks for config in your OpenClaw workspace:

```
~/.openclaw/workspace/prometheus.json
```

**Priority order:**
1. Path from `PROMETHEUS_CONFIG` environment variable
2. `~/.openclaw/workspace/prometheus.json`
3. `~/.openclaw/workspace/config/prometheus.json`
4. `./prometheus.json` (current directory)
5. `~/.config/prometheus/config.json`

### Config Format

Create `prometheus.json` in your workspace (or use `node cli.js init`):

```json
{
  "instances": [
    {
      "name": "production",
      "url": "https://prometheus.example.com",
      "user": "admin",
      "password": "secret"
    },
    {
      "name": "staging",
      "url": "http://prometheus-staging:9090"
    }
  ],
  "default": "production"
}
```

**Fields:**
- `name` — unique identifier for the instance
- `url` — Prometheus server URL
- `user` / `password` — optional HTTP Basic Auth credentials
- `default` — which instance to use when none specified

### Environment Variables (Legacy)

For single-instance setups, you can use environment variables:

```bash
export PROMETHEUS_URL=https://prometheus.example.com
export PROMETHEUS_USER=admin        # optional
export PROMETHEUS_PASSWORD=secret   # optional
```

## Usage

### Global Flags

| Flag | Description |
|------|-------------|
| `-c, --config <path>` | Path to config file |
| `-i, --instance <name>` | Target specific instance |
| `-a, --all` | Query all configured instances |

### Commands

#### Setup

```bash
# Interactive configuration wizard
node scripts/cli.js init
```

#### Query Metrics

```bash
cd ~/.openclaw/workspace/skills/prometheus

# Query default instance
node scripts/cli.js query 'up'

# Query specific instance
node scripts/cli.js query 'up' -i staging

# Query ALL instances at once
node scripts/cli.js query 'up' --all

# Custom config file
node scripts/cli.js query 'up' -c /path/to/config.json
```

#### Common Queries

**Disk space usage:**
```bash
node scripts/cli.js query '100 - (node_filesystem_avail_bytes / node_filesystem_size_bytes * 100)' --all
```

**CPU usage:**
```bash
node scripts/cli.js query '100 - (avg by (instance) (irate(node_cpu_seconds_total{mode="idle"}[5m])) * 100)' --all
```

**Memory usage:**
```bash
node scripts/cli.js query '(node_memory_MemTotal_bytes - node_memory_MemAvailable_bytes) / node_memory_MemTotal_bytes * 100' --all
```

**Load average:**
```bash
node scripts/cli.js query 'node_load1' --all
```

### List Configured Instances

```bash
node scripts/cli.js instances
```

Output:
```json
{
  "default": "production",
  "instances": [
    { "name": "production", "url": "https://prometheus.example.com", "hasAuth": true },
    { "name": "staging", "url": "http://prometheus-staging:9090", "hasAuth": false }
  ]
}
```

### Other Commands

```bash
# List all metrics matching pattern
node scripts/cli.js metrics 'node_memory_*'

# Get label names
node scripts/cli.js labels --all

# Get values for a label
node scripts/cli.js label-values instance --all

# Find time series
node scripts/cli.js series '{__name__=~"node_cpu_.*", instance=~".*:9100"}' --all

# Get active alerts
node scripts/cli.js alerts --all

# Get scrape targets
node scripts/cli.js targets --all
```

## Multi-Instance Output Format

When using `--all`, results include data from all instances:

```json
{
  "resultType": "vector",
  "results": [
    {
      "instance": "production",
      "status": "success",
      "resultType": "vector",
      "result": [...]
    },
    {
      "instance": "staging",
      "status": "success",
      "resultType": "vector",
      "result": [...]
    }
  ]
}
```

Errors on individual instances don't fail the entire query — they appear with `"status": "error"` in the results array.

## Common Queries Reference

| Metric | PromQL Query |
|--------|--------------|
| Disk free % | `node_filesystem_avail_bytes / node_filesystem_size_bytes * 100` |
| Disk used % | `100 - (node_filesystem_avail_bytes / node_filesystem_size_bytes * 100)` |
| CPU idle % | `avg by (instance) (irate(node_cpu_seconds_total{mode="idle"}[5m])) * 100` |
| Memory used % | `(node_memory_MemTotal_bytes - node_memory_MemAvailable_bytes) / node_memory_MemTotal_bytes * 100` |
| Network RX | `rate(node_network_receive_bytes_total[5m])` |
| Network TX | `rate(node_network_transmit_bytes_total[5m])` |
| Uptime | `node_time_seconds - node_boot_time_seconds` |
| Service up | `up` |

## Notes

- Time range defaults to last 1 hour for instant queries
- Use range queries `[5m]` for rate calculations
- All queries return JSON with `data.result` containing the results
- Instance labels typically show `host:port` format
- When using `--all`, queries run in parallel for faster results
- Config is stored outside the skill directory so it persists across skill updates

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