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 skills add kubiyabot/skill --skill datadog-skillgit clone --depth 1 https://github.com/kubiyabot/skillWrote 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/kubiyabot/skill/datadog-skill)<a href="https://agentmods.dev/skills/kubiyabot/skill/datadog-skill"><img src="https://agentmods.dev/badge/skills/kubiyabot/skill/datadog-skill/github.svg" alt="Measured on agentmods" height="20"></a>Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.
<a href="https://agentmods.dev/skills/kubiyabot/skill/datadog-skill"><img src="https://agentmods.dev/badge/skills/kubiyabot/skill/datadog-skill.svg" alt="Reviewed on agentmods" width="80" 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 | $0.00017 | $0.01565 |
| Opus 5.5 | $0.00007 | $0.00626 |
| Sonnet 5.5 | $0.00003 | $0.00313 |
| Haiku 4.5 | $0.00002 | $0.00156 |
Grade A, and why
datadog scanned grade A with 0 findings 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 1mo 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.
Nothing flagged
None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.
How it starts
The opening of the file, as written. The whole thing — 246 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Datadog Skill
Comprehensive Datadog monitoring using the native dogshell CLI.
Overview
This skill provides AI agents with access to Datadog monitoring capabilities through the dogshell CLI. Query metrics, manage monitors, search logs, and create events.
Requirements
- Datadog Python CLI installed (
pip install datadog) - API and Application keys configured
Configuration
Set your Datadog credentials:
skill config datadog --set api_key=YOUR_API_KEY --set app_key=YOUR_APP_KEY
Or use environment variables:
export DD_API_KEY=your_api_key
export DD_APP_KEY=your_app_key
Tools
metric-query
Query time-series metrics from Datadog.
Parameters:
query(required, string): Datadog metrics query (e.g., avg:system.cpu.user{*})from(optional, string): Start time in seconds or relative (e.g., -1h)to(optional, string): End time in seconds or relative (default: now)
Examples:
skill run datadog metric-query --query "avg:system.cpu.user{*}"
skill run datadog metric-query --query "avg:kubernetes.cpu.usage{cluster:prod}" --from "-1h"
skill run datadog metric-query --query "sum:trace.http.request.errors{env:production}.as_rate()" --from "-24h"
monitor-list
List Datadog monitors.
Parameters:
name(optional, string): Filter by monitor name (substring match)tags(optional, string): Filter by tags (comma-separated)status(optional, string): Filter by status: Alert, Warn, OK, No Data
Examples:
skill run datadog monitor-list
skill run datadog monitor-list --status Alert
skill run datadog monitor-list --tags "env:production,team:platform"
skill run datadog monitor-list --name "CPU"
monitor-get
Get details of a specific monitor.
Parameters:
id(required, string): Monitor ID
Examples:
skill run datadog monitor-get --id 12345678
monitor-mute
Mute a monitor to silence alerts.
Parameters:
id(required, string): Monitor IDscope(optional, string): Scope to mute (e.g., host:web-01)end(optional, string): End time in seconds or duration (e.g., 3600)
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.
- 1mo ago First seen · 246 lines · 17 tokens per session scan A 73477a5891f6
datadog is a skill published in the GitHub repository kubiyabot/skill (19 stars, last pushed 8mo ago), licensed Apache-2.0. It adds 17 tokens to every session and 1,565 once invoked, about $0.0001 per session on Opus 5.5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-09-03.
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