Atlas / Skills / softaworks / datadog Plugin

datadog PluginSAFE

skills/softaworks/datadog-cli

A curated collection of skills for AI coding agents. Skills are packaged instructions and scripts that extend agent capabilities across development, documentation, planning, and professional workflows.

Verdict
SAFE
Grade
B
Trust score
89 /100
Version
—
Hosts
1 documented
License
MIT
Stars
2,596
01

Overview

From the repository's own README, as read at the audited commit. Badges and raw HTML are left out.

A Claude Code skill for debugging and triaging with Datadog logs, metrics, and dashboards.

What it does

This skill enables Claude to use the datadog CLI for:

  • Log search - Query and filter logs with Datadog syntax
  • Real-time tailing - Stream logs as they arrive
  • Trace analysis - Follow distributed requests across services
  • Pattern detection - Group similar log messages automatically
  • Metrics query - Query timeseries metrics with PromQL-style syntax
  • Dashboard management - List, create, update, and delete dashboards

Prerequisites

  1. Install the CLI from leonardocouy/datadog-cli
  1. Set environment variables:
export DD_API_KEY="your-api-key"
export DD_APP_KEY="your-app-key"

Get keys from: https://app.datadoghq.com/organization-settings/api-keys

Installation

/plugin marketplace add leonardocouy/cc-datadog
/plugin install datadog@cc-datadog

Usage

Once installed, Claude will automatically use datadog commands when you ask questions like:

  • "Search for error logs in the last hour"
  • "Tail logs from the payments service"
  • "Trace this request ID across services"
  • "Show me error patterns from today"
  • "What dashboards do we have?"
  • "Please explain this Datadog dashboard https://app.datadoghq.com/dashboard/xxx-xxx-xxx"
  • "Create a new Datadog dashboard for the metrics cpu.usage, memory.used"

Commands Reference

Read from source at commit 28aecfe29fbfOBSERVED · 2026-10-28
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02

Host compatibility

What the documentation claims. We have not run a compatibility test.

HostStatusNotes
claude-codementioned
03

What it tells the agent

The instruction file, verbatim from the audited commit — this is the text the model reads, and the surface the audit's instruction layer examines. Quoted here so you can judge it without cloning anything.

---
name: datadog-cli
description: Datadog CLI for searching logs, querying metrics, tracing requests, and managing dashboards. Use this when debugging production issues or working with Datadog observability.
---

# Datadog CLI

A CLI tool for AI agents to debug and triage using Datadog logs and metrics.

## Required Reading

**You MUST read the relevant reference docs before using any command:**
- [Log Commands](references/logs-commands.md)
- [Metrics](references/metrics.md)
- [Query Syntax](references/query-syntax.md)
- [Workflows](references/workflows.md)
- [Dashboards](references/dashboards.md)

## Setup

### Environment Variables (Required)

```bash
export DD_API_KEY="your-api-key"
export DD_APP_KEY="your-app-key"
```

Get keys from: https://app.datadoghq.com/organization-settings/api-keys

### Running the CLI

```bash
npx @leoflores/datadog-cli <command>
```

For non-US Datadog sites, use `--site` flag:
```bash
npx @leoflores/datadog-cli logs search --query "*" --site datadoghq.eu
```

## Commands Overview

| Command | Description |
|---------|-------------|
| `logs search` | Search logs with filters |
| `logs tail` | Stream logs in real-time |
| `logs trace` | Find logs for a distributed trace |
| `logs context` | Get logs before/after a timestamp |
| `logs patterns` | Group similar log messages |
| `logs compare` | Compare log counts between periods |
| `logs multi` | Run multiple queries in parallel |
| `logs agg` | Aggregate logs by facet |
| `metrics query` | Query timeseries metrics |
| `errors` | Quick error summary by service/type |
| `services` | List services with log activity |
| `dashboards` | Manage dashboards (CRUD) |
| `dashboard-lists` | Manage dashboard lists |


## Quick Examples

### Search Errors
```bash
npx @leoflores/datadog-cli logs search --query "status:error" --from 1h --pretty
```

### Tail Logs (Real-time)
```bash
npx @leoflores/datadog-cli logs tail --query "service:api status:error" --pretty
```

### Error Summary
```bash
npx @leoflores/datadog-cli errors --from 1h --pretty
```

### Trace Correlation
```bash
npx @leoflores/datadog-cli logs trace --id "abc123def456" --pretty
```

### Query Metrics
```bash
npx @leoflores/datadog-cli metrics query --query "avg:system.cpu.user{*}" --from 1h --pretty
```

### Compare Periods
```bash
npx @leoflores/datadog-cli logs compare --query "status:error" --period 1h --pretty
```

## Global Flags

| Flag | Description |
|------|-------------|
| `--pretty` | Human-readable output with colors |
| `--output <file>` | Export results to JSON file |
| `--site <site>` | Datadog site (e.g., `datadoghq.eu`) |

## Time Formats

- **Relative**: `30m`, `1h`, `6h`, `24h`, `7d`
- **ISO 8601**: `2024-01-15T10:30:00Z`

## Incident Triage Workflow

```bash
# 1. Quick error overview
npx @leoflores/datadog-cli errors --from 1h --pretty

# 2. Is this new? Compare to previous period
npx @leoflores/datadog-cli logs compare --query "status:error" --period 1h --pretty

# 3. Find error patterns
npx @leoflores/datadog-cli logs patterns --query "status:error" --from 1h --pretty

# 4. Narrow down by service
npx @leoflores/datadog-cli logs search --query "status:error service:api" --from 1h --pretty

# 5. Get context around a timestamp
npx @leoflores/datadog-cli logs context --timestamp "2024-01-15T10:30:00Z" --service api --pretty

# 6. Follow the distributed trace
npx @leoflores/datadog-cli logs trace --id "TRACE_ID" --pretty
```

See [workflows.md](references/workflows.md) for more debugging workflows.
04

Trust audit

SAFEgrade B · trust 89/100 Nothing in the source contradicts what it says it does. Grade A is reserved for packages that have also passed the behavioural sandbox.

LayerWhat it checksResult
L0Provenance & inventoryPASS
L1Static analysis of the codeNA
L2Instruction surface (what it tells the agent)PASS
L3Class-specific surfacePASS
L4Behavioural (sandbox)SKIPPED

What the source does

Filesystem
none-observed
Network
none-observed
Shell
none-observed
Dependencies
pinned
Secrets in source
none-found

Findings (1)

LOWInventory / provenance · inv.symlink · CWE-1104
CLAUDE.md
CLAUDE.md
Why it matters. link not followed

Gates applied: no_behavioural_pass.

Audited 2026-10-28 · audit v0.4.1 · source sha 28aecfe29fbffull audit observations/trust-audit/skill/softaworks__datadog-cli.json · Report an issue / request a re-scan
05

Audit history

Every audit this skill has had.

DateSourceVerdictGradeScoreChange
2026-10-2828aecfe29fbfSAFEB89first audit
06

Questions

What does the datadog-cli — softaworks/agent-toolkit skill do?

A curated collection of skills for AI coding agents. Skills are packaged instructions and scripts that extend agent capabilities across development, documentation, planning, and professional workflows.

Is datadog-cli — softaworks/agent-toolkit safe to install?

The audit found nothing in the source that contradicts what it says it does, and graded it B (89/100). Grade A is held back for packages that have also passed a sandboxed behavioural run, which is why a clean skill reads B.

What can datadog-cli — softaworks/agent-toolkit access on my machine?

The audit observed no filesystem, network or shell use at all in its source.

Which assistants does datadog-cli — softaworks/agent-toolkit work with?

Its documentation mentions claude-code. That is what the text claims, not a compatibility test we ran.

How current is this page?

The grade is for one exact copy of the source (28aecfe29fbf), read on 2026-10-28. The repository is watched, and a new audit runs when it changes — this is the first audit.

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