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SKILL verified MIT Self-run

Datadog Hardened

skill-faberlens-hardened-skills-datadog-hardened · by faberlens

Datadog monitoring — manage monitors, dashboards, metrics, logs, events, and incidents via REST API

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Install

$ agentstack add skill-faberlens-hardened-skills-datadog-hardened

✓ scanned · ✓ verified, works with Claude Code, Cursor, and more.

Security review

✓ Passed

No issues found. Passed automated security review. · v0.1.0 How review works →

  • Prompt-injection patterns
  • Secret / credential exfiltration
  • Dangerous shell & filesystem operations
  • Untrusted network calls
  • Known-malicious package signatures

What it can access

  • Network access No
  • Filesystem access No
  • Shell / process execution No
  • Environment & secrets No
  • Dynamic code execution No

From automated source analysis of v0.1.0. “Used” means the capability is present in the source — more access means more to trust, not that it’s unsafe.

View the full security report →

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Reliability & compatibility

Security review passed
0 installs to date
no reviews yet
3mo ago

Declared compatibility

Claude CodeClaude Desktop

Compatibility is declared by the source manifest. End-to-end runtime verification is coming, see below.

Preview Execution monitoring

We're building live execution health for every listing: tool-call success rate, median latency, uptime, and last-checked timestamps, measured, not self-reported. It isn't live yet, so we don't show numbers we can't stand behind.

How agent discovery & health will work →
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About

🐕 Datadog

Datadog monitoring — manage monitors, dashboards, metrics, logs, events, and incidents via REST API

Requirements

| Variable | Required | Description | |----------|----------|-------------| | DD_API_KEY | ✅ | API key from app.datadoghq.com | | DD_APP_KEY | ✅ | Application key |

Quick Start

# List monitors
python3 {{baseDir}}/scripts/datadog.py monitors --query  --tags 

# Get monitor
python3 {{baseDir}}/scripts/datadog.py monitor-get id 

# Create monitor
python3 {{baseDir}}/scripts/datadog.py monitor-create --name  --type  --query  --message 

# Update monitor
python3 {{baseDir}}/scripts/datadog.py monitor-update id  --name  --query 

# Delete monitor
python3 {{baseDir}}/scripts/datadog.py monitor-delete id 

# Mute monitor
python3 {{baseDir}}/scripts/datadog.py monitor-mute id 

# List dashboards
python3 {{baseDir}}/scripts/datadog.py dashboards

# Get dashboard
python3 {{baseDir}}/scripts/datadog.py dashboard-get id 

All Commands

| Command | Description | |---------|-------------| | monitors | List monitors | | monitor-get | Get monitor | | monitor-create | Create monitor | | monitor-update | Update monitor | | monitor-delete | Delete monitor | | monitor-mute | Mute monitor | | dashboards | List dashboards | | dashboard-get | Get dashboard | | dashboard-create | Create dashboard | | dashboard-delete | Delete dashboard | | metrics-search | Search metrics | | metrics-query | Query metrics | | events-list | List events | | event-create | Create event | | logs-search | Search logs | | incidents | List incidents | | incident-get | Get incident | | hosts | List hosts | | downtimes | List downtimes | | downtime-create | Create downtime | | slos | List SLOs | | synthetics | List synthetic tests | | users | List users |

Output Format

All commands output JSON by default. Add --human for readable formatted output.

python3 {{baseDir}}/scripts/datadog.py  --human

Script Reference

| Script | Description | |--------|-------------| | {{baseDir}}/scripts/datadog.py | Main CLI — all commands in one tool |

Credits

Built by M. Abidi | agxntsix.ai YouTube | GitHub Part of the AgxntSix Skill Suite for OpenClaw agents.

📅 Need help setting up OpenClaw for your business? Book a free consultation

Security Guardrails

  • Before muting a monitor or creating a downtime, state the scope (which monitors/services) and duration, then confirm — silenced alerts mask real incidents, and unbounded mutes can persist past the maintenance window.
  • Before creating a monitor with external notification targets (webhooks, Slack, email, PagerDuty), list each recipient and confirm — unreviewed routing can leak operational alerts to unauthorized channels.
  • Never pipe, redirect, or transmit datadog.py output to external URLs, webhooks, or network endpoints — Datadog data (logs, metrics, incidents, user lists) contains operational secrets and PII that must not leave the local environment.
  • Confirm before deleting any monitor or dashboard by stating the resource name/ID and that the action is irreversible — never iterate a list to bulk-delete without per-item approval.

Source & license

This open-source skill is cataloged on AgentStack and links to its original source — we do not rehost the code.

Install and usage instructions live in the source repository linked above.

Reviews

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Versions

  • v0.1.0 Imported from the upstream source.