Getting it into your agent
One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.
npx agentmods add skills/bagelhole/devops-security-agent-skills/datadognpx skills add BagelHole/DevOps-Security-Agent-Skills --skill datadoggit clone --depth 1 https://github.com/BagelHole/DevOps-Security-Agent-SkillsWrote this? Show the measurements
A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.
[](https://agentmods.dev/skills/bagelhole/devops-security-agent-skills/datadog)<a href="https://agentmods.dev/skills/bagelhole/devops-security-agent-skills/datadog"><img src="https://agentmods.dev/badge/skills/bagelhole/devops-security-agent-skills/datadog.svg" alt="Measured on agentmods" height="20"></a>What it costs to keep this loaded
Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5.1 | $0.00047 | $0.02601 |
| Opus 5 | $0.00023 | $0.01300 |
| Sonnet 5 | $0.00009 | $0.00520 |
| Haiku 4.5 | $0.00005 | $0.00260 |
Grade A, and why
datadog scanned grade A with 1 finding against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 6d ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Makes network callslowCapability
Not a fault in itself. Listed so you know the mod talks to something, and to what.
DD_API_KEY=<YOUR_API_KEY> DD_SITE="datadoghq.com" bash -c "$(curl -L https://s3.amazonaws.com/dd-agent/scripts/install_script_agent7.sh)" How it starts
The opening of the file, as written. The whole thing — 464 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Datadog
Monitor infrastructure and applications with Datadog's unified observability platform.
When to Use This Skill
Use this skill when:
- Implementing enterprise-grade monitoring
- Setting up APM and distributed tracing
- Creating unified dashboards for infrastructure and apps
- Configuring intelligent alerting
- Monitoring cloud infrastructure (AWS, Azure, GCP)
Prerequisites
- Datadog account and API key
- Agent installation access
- Application code access for APM
Agent Installation
Linux
# Install agent
DD_API_KEY=<YOUR_API_KEY> DD_SITE="datadoghq.com" bash -c "$(curl -L https://s3.amazonaws.com/dd-agent/scripts/install_script_agent7.sh)"
# Or via package manager
apt-get update && apt-get install datadog-agent
# Configure API key
echo "api_key: YOUR_API_KEY" >> /etc/datadog-agent/datadog.yaml
# Start agent
systemctl start datadog-agent
systemctl enable datadog-agent
Docker
# docker-compose.yml
version: '3.8'
services:
datadog-agent:
image: gcr.io/datadoghq/agent:7
environment:
- DD_API_KEY=${DD_API_KEY}
- DD_SITE=datadoghq.com
- DD_LOGS_ENABLED=true
- DD_APM_ENABLED=true
- DD_PROCESS_AGENT_ENABLED=true
volumes:
- /var/run/docker.sock:/var/run/docker.sock:ro
- /proc/:/host/proc/:ro
- /sys/fs/cgroup/:/host/sys/fs/cgroup:ro
ports:
- "8126:8126" # APM
- "8125:8125/udp" # DogStatsD
Kubernetes
# Using Helm
helm repo add datadog https://helm.datadoghq.com
helm install datadog datadog/datadog \
--set datadog.apiKey=${DD_API_KEY} \
--set datadog.site=datadoghq.com \
--set datadog.logs.enabled=true \
--set datadog.apm.portEnabled=true \
--set datadog.processAgent.enabled=true \
--namespace datadog \
--create-namespace
Agent Configuration
# /etc/datadog-agent/datadog.yaml
api_key: YOUR_API_KEY
site: datadoghq.com
# Hostname
hostname: myserver.example.com
# Tags applied to all metrics
tags:
- env:production
- service:myapp
- team:platform
# Log collection
logs_enabled: true
# APM
apm_config:
enabled: true
apm_dd_url: https://trace.agent.datadoghq.com
# Process monitoring
process_config:
enabled: true
# Container monitoring
container_collect_all: true
docker_labels_as_tags:
app: service
environment: env
What ships with it
1 file beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.
What this file has done since we first saw it
Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.
- 6d ago First seen · 464 lines · 47 tokens per session scan A 5db1eca3ac5b
datadog is a skill published in the GitHub repository BagelHole/DevOps-Security-Agent-Skills (1,037 stars, last pushed 3mo ago), licensed MIT. It adds 47 tokens to every session and 2,601 once invoked, about $0.0002 per session on Opus 5. A static security scan graded it A with 1 finding (makes network calls). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.
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