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/neverinfamous/mysql-mcp/dd-docsnpx skills add neverinfamous/mysql-mcp --skill dd-docsgit 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-docs)<a href="https://agentmods.dev/skills/neverinfamous/mysql-mcp/dd-docs"><img src="https://agentmods.dev/badge/skills/neverinfamous/mysql-mcp/dd-docs.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 | $0.00025 | $0.00634 |
| Opus 5 | $0.00013 | $0.00317 |
| Sonnet 5 | $0.00005 | $0.00127 |
| Haiku 4.5 | $0.00003 | $0.00063 |
Grade A, and why
dd-docs 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 3d 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.
curl -s https://docs.datadoghq.com/llms.txt | head -100 This is a copy
100% identical to dd-docs — 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.
What it actually says
Datadog Docs
Use this skill to locate Datadog documentation and limits.
LLM-Friendly Documentation
Datadog provides an LLM-optimized documentation index at:
https://docs.datadoghq.com/llms.txt
This file contains:
- Overview of all Datadog products organized by use case
- Full list of documentation pages with URLs and descriptions
- Direct links to Markdown sources (append
.mdto URLs)
How to Use llms.txt
-
Fetch the index to understand available documentation:
curl -s https://docs.datadoghq.com/llms.txt | head -100 -
Search for specific topics:
Examples:
curl -s https://docs.datadoghq.com/llms.txt | grep -i "monitors"
curl -s https://docs.datadoghq.com/llms.txt | grep -i "apm"
curl -s https://docs.datadoghq.com/llms.txt | grep -i "logs"
- Fetch specific doc pages (add .md to most Datadog Docs URLs for raw content):
curl -s https://docs.datadoghq.com/monitors.md curl -s https://docs.datadoghq.com/tracing.md
Key Documentation Sections
| Topic | URL |
|---|---|
| APM/Tracing | https://docs.datadoghq.com/tracing/ |
| Logs | https://docs.datadoghq.com/logs/ |
| Metrics | https://docs.datadoghq.com/metrics/ |
| Monitors | https://docs.datadoghq.com/monitors/ |
| Dashboards | https://docs.datadoghq.com/dashboards/ |
| Security | https://docs.datadoghq.com/security/ |
| Synthetics | https://docs.datadoghq.com/synthetics/ |
| RUM | https://docs.datadoghq.com/real_user_monitoring/ |
| Incidents | https://docs.datadoghq.com/service_management/incident_management/ |
| API Reference | https://docs.datadoghq.com/api/ |
Scope Guardrails
- Use llms.txt for documentation lookups
- Defer to official docs for feature availability and limits
Failure Handling
- If docs.datadoghq.com is unreachable, check network connectivity
- For region-specific docs, use appropriate site (datadoghq.eu, etc.)
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.
- 3d ago First seen · 76 lines · 25 tokens per session scan A 7186e4e71c4d
dd-docs is a skill published in the GitHub repository neverinfamous/mysql-mcp (10 stars, last pushed 10d ago), licensed MIT. It adds 25 tokens to every session and 634 once invoked, about $0.0001 per session on Opus 5. A static security scan graded it A with 1 finding (makes network calls). It is 100% identical to dd-docs, differing in 0 lines, and is treated as a copy.
Other skills, from other repositories
laravel-actions
Build, refactor, and troubleshoot Laravel Actions using lorisleiva/laravel-actions. Use when implementing reusable action classes (object/controller/job/listener/command), converting service classes/controllers/jobs into actions, orchestrating workflows via faked actions, or debugging action entrypoints and wiring.
pest-testing
Use this skill for Pest PHP testing in Laravel projects only. Trigger whenever any test is being written, edited, fixed, or refactored — including fixing tests that broke after a code change, adding assertions, converting PHPUnit to Pest, adding datasets, and TDD workflows. Always activate when the user asks how to…
livewire-development
Use for any task or question involving Livewire. Activate if user mentions Livewire, wire: directives, or Livewire-specific concepts like wire:model, wire:click, invoke this skill. Covers building new components, debugging reactivity issues, real-time form validation, loading states, migrating from Livewire 2 to 3…
mcp-development
Use this skill for Laravel MCP development only. Trigger when creating or editing MCP tools, resources, prompts, or servers in Laravel projects. Covers: artisan make:mcp- generators, mcp:inspector, routes/ai.php, Tool/Resource/Prompt classes, schema validation, shouldRegister(), OAuth setup, URI templates, read-only…
whodb
Query and explore databases via MCP. Use when the user asks to inspect schemas, run SQL, browse tables, analyze data quality, generate ER diagrams, or work with PostgreSQL, MySQL, MariaDB, TiDB, SQLite, MongoDB, Redis, ClickHouse, Elasticsearch, or DuckDB.
graphjin-eval
Create, extend, run, baseline, and diagnose GraphJin agent evaluations through the graphjin eval CLI.