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 bobmatnyc/claude-mpm-skills --skill digitalocean-overviewgit clone --depth 1 https://github.com/bobmatnyc/claude-mpm-skillsWrote 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/bobmatnyc/claude-mpm-skills/digitalocean-overview)<a href="https://agentmods.dev/skills/bobmatnyc/claude-mpm-skills/digitalocean-overview"><img src="https://agentmods.dev/badge/skills/bobmatnyc/claude-mpm-skills/digitalocean-overview/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/bobmatnyc/claude-mpm-skills/digitalocean-overview"><img src="https://agentmods.dev/badge/skills/bobmatnyc/claude-mpm-skills/digitalocean-overview.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 | $0.00054 | $0.00891 |
| Opus 5 | $0.00027 | $0.00445 |
| Sonnet 5 | $0.00011 | $0.00178 |
| Haiku 4.5 | $0.00005 | $0.00089 |
Grade A, and why
digitalocean-overview 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 9d 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 — 90 lines — stays where its author put it; the contents beside it link to each section on GitHub.
DigitalOcean Platform Overview Skill
progressive_disclosure: entry_point: summary: "DigitalOcean overview: accounts, projects, tooling (Control Panel, doctl, API, Terraform), and service map for compute, storage, databases, networking, management, teams." when_to_use: - "When onboarding to DigitalOcean or planning architecture" - "When selecting DigitalOcean services for a workload" - "When setting up teams, projects, and automation" quick_start: - "Create a project in the Control Panel" - "Generate API tokens and add SSH keys" - "Install doctl and authenticate" - "Choose compute, storage, and database services" token_estimate: entry: 90-110 full: 3000-4000
Overview
DigitalOcean provides cloud services for compute, storage, networking, and managed databases, plus monitoring and team management. Use the Control Panel, doctl CLI, REST API, or Terraform for provisioning and operations.
Platform Entry Points
- Control Panel: Use the web UI for interactive provisioning and monitoring.
- doctl CLI: Automate resource creation and lifecycle management.
- REST API: Integrate provisioning into internal tooling.
- Terraform: Manage infrastructure as code.
Account and Access Setup
- Create a team and configure billing and access.
- Enable account security settings (2FA and secure sign-in).
- Add SSH keys for Droplet access.
- Create API tokens for automation and CI/CD.
Project Organization
- Use Projects to group resources by application, environment, or team.
- Standardize naming to simplify search and ownership.
DigitalOcean Skill Map
Use these skills for deeper coverage (if deployed):
- digitalocean-compute: Droplets, App Platform, Functions, Kubernetes, GPU.
- digitalocean-agentic-cloud: Gradient AI agentic cloud and AI platform.
- digitalocean-storage: Spaces, Volumes, NFS, Snapshots, Backups.
- digitalocean-containers-images: Container Registry, custom images, image lifecycle.
- digitalocean-managed-databases: Managed Postgres, MySQL, Redis, MongoDB, Kafka, OpenSearch, Valkey.
- digitalocean-networking: VPC, firewalls, load balancers, DNS, reserved IPs.
- digitalocean-management: Monitoring, uptime checks, projects.
- digitalocean-teams: Teams, organizations, roles, access controls.
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.
- 9d ago First seen · 90 lines · 54 tokens per session scan A 78efc6afde5f
digitalocean-overview is a skill published in the GitHub repository bobmatnyc/claude-mpm-skills (75 stars, last pushed 1mo ago), licensed MIT. It adds 54 tokens to every session and 891 once invoked, about $0.0003 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 2026-09-03.
Other skills, from other repositories
gke-compute-classes
Configures, optimizes, and troubleshoots GKE ComputeClasses. Use when configuring Spot VMs with on-demand fallback, targeting specific accelerators (GPUs/TPUs) or machine families, restricting ComputeClass access, or debugging pending pods related to node pool auto-creation. Do not use for cluster-level Node Auto…
gke-reliability
Improves GKE workload reliability, using PDBs, health probes, and topology spread constraints. Use when configuring GKE workload reliability, setting up PDBs, or configuring GKE health probes (liveness, readiness, startup). Don't use for disaster recovery setup or full cluster backups (use gke-backup-dr instead).
gke-workload-security
Audits, configures, and hardens workload-level security controls for Google Kubernetes Engine (GKE) applications and namespaces. Covers running cluster security audits (auditcluster.sh), configuring Workload Identity Federation (impersonation, KSA/GSA binding, and pod setup), enforcing Network Policies (default-deny…
nemo-automodel-launcher-config
Configure NeMo AutoModel job launches for interactive runs, Slurm clusters, and SkyPilot cloud execution.
azure-mgmt-botservice-dotnet
Azure Resource Manager SDK for Bot Service in .NET. Management plane operations for creating and managing Azure Bot resources, channels (Teams, DirectLine, Slack), and connection settings. Triggers: "Bot Service", "BotResource", "Azure Bot", "DirectLine channel", "Teams channel", "bot management .NET", "create bot".
cloud-architect
Designs cloud architectures, creates migration plans, generates cost optimization recommendations, and produces disaster recovery strategies across AWS, Azure, and GCP. Use when designing cloud architectures, planning migrations, or optimizing multi-cloud deployments. Invoke for Well-Architected Framework, cost…