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/aws/tools-for-devops-agent/database-rds-devopsnpx skills add aws/tools-for-devops-agent --skill database-rds-devopsgit clone --depth 1 https://github.com/aws/tools-for-devops-agentWhat 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 | $0.00075 | $0.04437 |
| Opus 5 | $0.00037 | $0.02218 |
| Sonnet 5 | $0.00015 | $0.00887 |
| Haiku 4.5 | $0.00007 | $0.00444 |
Grade A, and why
database-rds-devops 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 2d 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 — 423 lines — stays where its author put it; the contents beside it link to each section on GitHub.
MCP Server Integration
This skill uses the rds-aidba MCP server (mcp/rds-aidba/) for database-level diagnostics.
Transport: Streamable HTTP (Lambda Function URL + mcp-proxy) Auth: AWS SigV4 (service: lambda)
MCP Tools (10)
| Tool | Parameters | Description |
|---|---|---|
execute_health_query |
engine, category, query_id | Run a predefined query |
list_health_queries |
engine | List available queries |
run_category_check |
engine, category | Run all queries in a category |
run_full_health_check |
engine | Key queries from all categories |
list_clusters |
(none) | List clusters in the account |
get_cluster_health |
cluster_identifier | Cluster config and health |
get_cluster_metrics |
cluster_identifier, hours_back | CloudWatch metrics |
get_performance_insights |
instance_identifier | PI wait events |
get_proxy_health |
proxy_name | RDS Proxy status |
get_serverless_capacity |
cluster_identifier | Serverless v2 capacity |
Three-Layer Architecture
Layer 1: AWS CLI (Control Plane) - Always available Layer 2: CloudWatch (Observability) - Always available Layer 3: rds-aidba MCP (Data Plane) - Requires MCP server deployed
Instructions
You are a database DevOps expert for Aurora MySQL and Aurora PostgreSQL. You perform automated health assessments, performance diagnostics, log-based troubleshooting, and operational recommendations. Every recommendation must be grounded in collected metrics, query results, or documented best practices.
Core Principles
- Observe before diagnosing — Always collect data (metrics, configuration, logs) before making recommendations
- Platform-aware — Auto-detect engine type (Aurora MySQL, RDS MySQL, Aurora PostgreSQL) and adjust diagnostics accordingly
- Safety-first — Read-only operations only; never modify data, schema, or configuration directly
- Severity-driven — Prioritize findings by impact: 🔴 CRITICAL → 🟡 WARNING → 🟢 OK
- Actionable output — Every finding includes a specific remediation with expected outcome
What ships with it
12 files 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.
- CHANGELOG.md 847 B
- DEPLOYMENT.md 5.1 KB
- evals/eval_queries.json 1.6 KB
- evals/evals.json 2.7 KB
- evals/report.json 404 B
- README.md 12 KB
- references/aurora-validation-checklist.md 8.1 KB
- references/best-practices.md 12 KB
- references/mcp-setup.md 8.1 KB
- references/mysql-health-checks.md 18 KB
- references/postgresql-health-checks.md 3.0 KB
- references/troubleshooting-runbooks.md 14 KB
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.
- 2d ago First seen · 423 lines · 75 tokens per session scan A 70d7953bdc0f
database-rds-devops is a skill published in the GitHub repository aws/tools-for-devops-agent (40 stars, last pushed 4d ago), licensed Apache-2.0. It adds 75 tokens to every session and 4,437 once invoked, about $0.0004 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.
Other skills, from other repositories
hyperpod-node-debugger
Diagnose and remediate per-node issues on a HyperPod cluster (EKS or Slurm) — a specific node is unhealthy, unresponsive, stuck, or needs replacing. Covers on-node EFA, GPU / accelerator hardware (XID, ECC, NVLink, row-remap, DCGM), Slurm node down/drained, disk and memory pressure, per-node lifecycle-script failures…
aws-lambda-microvms
Build, run, debug, and operate applications on AWS Lambda MicroVMs — Firecracker-isolated, snapshot-resumable serverless compute environments that run inside a container with up to 8-hour lifetimes. Triggers on: Lambda MicroVMs, Firecracker isolation, snapshot-resumable compute, suspend/resume, sandboxed or untrusted…
document-service
This skill should be used when the user asks to "analyze this codebase", "document this service", "generate technical docs", "I inherited this code", "help me understand this system", "create docs for this project", "what does this system look like", "onboard me to this codebase", "this codebase has no docs"…
hyperpod-performance-debugger
Diagnose performance issues on Amazon SageMaker HyperPod clusters — uneven NCCL bandwidth across nodes and poor filesystem throughput. Read-only. Surfaces host-side signals (Xid, ECC, NVLink, EFA reachability, FSx saturation) and routes to the appropriate sibling skill (hyperpod-node-debugger, hyperpod-nccl…
amplify-workflow
Build and deploy full-stack web and mobile apps with AWS Amplify Gen2 (TypeScript code-first). Covers auth (Cognito), data (AppSync/DynamoDB including schema modeling, enum types, relationships, authorization rules), storage (S3), functions, APIs, and AI (Amplify AI Kit with Bedrock). Supports React, Next.js, Vue…
dataset-transformation
Generates code that transforms datasets between ML schemas for model training or evaluation. Use when the user says "transform", "convert", "reformat", "change the format", or when a dataset's schema needs to change to match the target format — always use this skill for format changes rather than writing inline…