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 neverinfamous/mysql-mcp --skill dd-monitorsgit clone --depth 1 https://github.com/neverinfamous/mysql-mcpWrote 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/neverinfamous/mysql-mcp/dd-monitors)<a href="https://agentmods.dev/skills/neverinfamous/mysql-mcp/dd-monitors"><img src="https://agentmods.dev/badge/skills/neverinfamous/mysql-mcp/dd-monitors/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/neverinfamous/mysql-mcp/dd-monitors"><img src="https://agentmods.dev/badge/skills/neverinfamous/mysql-mcp/dd-monitors.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 | $0.00021 | $0.01333 |
| Opus 5 | $0.00010 | $0.00666 |
| Sonnet 5 | $0.00004 | $0.00267 |
| Haiku 4.5 | $0.00002 | $0.00133 |
Grade A, and why
dd-monitors 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.
This is a copy
100% identical to dd-monitors — 0 lines differ, which has more behind it and is treated as the original. This page carries a canonical link to it rather than competing with it.
How it starts
The opening of the file, as written. The whole thing — 200 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Datadog Monitors
Create, manage, and maintain monitors for alerting.
Prerequisites
This requires pup in your path. See Setup Pup.
Command Execution Order (Token-Efficient)
For scoped commands, use this order:
- Check context first (prior outputs, conversation, saved values).
- If a required value is missing, run a discovery command first.
- If still ambiguous, ask the user to confirm.
- Then run the target command.
- Avoid speculative commands likely to fail.
Quick Start
pup auth login
Common Operations
List Monitors
pup monitors list
pup monitors list --tags "team:platform"
Get Monitor
pup monitors get <id>
Create Monitor
pup monitors create --file monitor.json
Silence Alerts (Downtime)
# No pup monitors mute/unmute commands.
# Use downtime payloads to silence monitor notifications.
pup downtime create --file downtime.json
pup downtime cancel <downtime_id>
Monitor Creation Best Practices
1. Avoid Alert Fatigue
| Rule | Why |
|---|---|
| No flapping alerts | Use last_Xm not last_1m |
| Meaningful thresholds | Based on SLOs, not guesses |
| Actionable alerts | If no action needed, don't alert |
| Include runbook | @runbook-url in message |
# WRONG - will flap constantly
query = "avg(last_1m):avg:system.cpu.user{*} > 50" # ❌ Too sensitive
# CORRECT - stable alerting
query = "avg(last_5m):avg:system.cpu.user{env:prod} by {host} > 80" # ✅ Reasonable window
2. Use Proper Scoping
# WRONG - alerts on everything
query = "avg(last_5m):avg:system.cpu.user{*} > 80" # ❌ No scope
# CORRECT - scoped to what matters
query = "avg(last_5m):avg:system.cpu.user{env:prod,service:api} by {host} > 80" # ✅
3. Set Recovery Thresholds
monitor = {
"query": "avg(last_5m):avg:system.cpu.user{env:prod} > 80",
"options": {
"thresholds": {
"critical": 80,
"critical_recovery": 70, # ✅ Prevents flapping
"warning": 60,
"warning_recovery": 50
}
}
}
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 · 200 lines · 21 tokens per session scan A 7064ad2d9220
dd-monitors is a skill published in the GitHub repository neverinfamous/mysql-mcp (10 stars, last pushed 3d ago), licensed MIT. It adds 21 tokens to every session and 1,333 once invoked, about $0.0001 per session on Opus 5. A static security scan graded it A with 0 findings. It is 100% identical to dd-monitors, differing in 0 lines, and is treated as a copy.
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