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 automateyournetwork/netclaw --skill datadog-metricsgit clone --depth 1 https://github.com/automateyournetwork/netclawWrote 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/automateyournetwork/netclaw/datadog-metrics)<a href="https://agentmods.dev/skills/automateyournetwork/netclaw/datadog-metrics"><img src="https://agentmods.dev/badge/skills/automateyournetwork/netclaw/datadog-metrics/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/automateyournetwork/netclaw/datadog-metrics"><img src="https://agentmods.dev/badge/skills/automateyournetwork/netclaw/datadog-metrics.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector pass
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 | $0.00016 | $0.00517 |
| Opus 5 | $0.00008 | $0.00259 |
| Sonnet 5 | $0.00003 | $0.00103 |
| Haiku 4.5 | $0.00002 | $0.00052 |
Grade A, and why
datadog-metrics 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 10d 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.
What it actually says
Datadog Metrics Skill
Query metrics and explore dashboards in Datadog.
Tools
| Tool | Description |
|---|---|
query_metrics |
Execute metric queries with aggregations |
list_metrics |
List available metrics matching a pattern |
get_metric_metadata |
Get metadata for a specific metric |
list_dashboards |
List all available dashboards |
get_dashboard |
Get dashboard definition and widgets |
Example Queries
Query CPU utilization for network devices
→ query_metrics(query="avg:system.cpu.user{role:network_device} by {host}", time_range="1h")
Get interface traffic metrics
→ query_metrics(query="sum:network.bytes_rcvd{*} by {interface}", time_range="4h")
List all network-related metrics
→ list_metrics(pattern="network.*")
Get a specific dashboard
→ get_dashboard(dashboard_id="abc-def-123")
Workflows
Network Performance Monitoring
- Query interface utilization:
query_metrics(query="avg:network.bytes_sent{*} by {host,interface}") - Check error rates:
query_metrics(query="sum:network.errors{*} by {host}") - Monitor latency percentiles:
query_metrics(query="p99:network.latency{*}") - Compare against SLA thresholds
Infrastructure Health Assessment
- List all infrastructure metrics:
list_metrics(pattern="system.*") - Query CPU/memory across fleet:
query_metrics(query="avg:system.cpu.user{*} by {availability_zone}") - Identify outliers and degradation
- Check dashboard for historical trends
Capacity Planning
- Query peak utilization:
query_metrics(query="max:system.disk.used{*} by {host}", time_range="30d") - Calculate growth rate
- Forecast exhaustion dates
- Generate capacity report
Prerequisites
DD_API_KEYDatadog API keyDD_APP_KEYDatadog application keyDD_SITEDatadog site (optional, defaults to datadoghq.com)
Server
This skill uses the datadog-mcp server via remote MCP transport.
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.
- 10d ago First seen · 69 lines · 16 tokens per session scan A 7946069a468f
datadog-metrics is a skill published in the GitHub repository automateyournetwork/netclaw (652 stars, last pushed 3d ago), licensed Apache-2.0. It adds 16 tokens to every session and 517 once invoked, about $0.0001 per session on Opus 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 2026-08-30.
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