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-computegit 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-compute)<a href="https://agentmods.dev/skills/bobmatnyc/claude-mpm-skills/digitalocean-compute"><img src="https://agentmods.dev/badge/skills/bobmatnyc/claude-mpm-skills/digitalocean-compute/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-compute"><img src="https://agentmods.dev/badge/skills/bobmatnyc/claude-mpm-skills/digitalocean-compute.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 | $0.00050 | $0.00900 |
| Opus 5 | $0.00025 | $0.00450 |
| Sonnet 5 | $0.00010 | $0.00180 |
| Haiku 4.5 | $0.00005 | $0.00090 |
Grade A, and why
digitalocean-compute 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 — 109 lines — stays where its author put it; the contents beside it link to each section on GitHub.
DigitalOcean Compute Skill
progressive_disclosure: entry_point: summary: "Compute on DigitalOcean: Droplets, App Platform, Functions, Kubernetes, GPU Droplets, Bare Metal GPUs." when_to_use: - "When choosing a compute model for an application" - "When provisioning VMs, PaaS, serverless, or Kubernetes" - "When planning GPU-backed workloads" quick_start: - "Pick Droplets, App Platform, Functions, or Kubernetes" - "Select region, size, and image" - "Configure networking and access" - "Deploy and monitor workloads" token_estimate: entry: 90-110 full: 4000-5200
Overview
DigitalOcean compute includes VMs, managed PaaS, serverless functions, and managed Kubernetes, plus GPU offerings for AI workloads.
Droplets (VMs)
Use Droplets for full OS control and custom networking.
- Choose region and Droplet plan.
- Select an OS image or snapshot.
- Add SSH keys for secure access.
- Attach Volumes for persistent block storage.
- Apply firewalls and VPC configuration.
App Platform (PaaS)
Use App Platform to deploy from Git or container images with managed build and runtime.
- Connect a Git repository or container registry.
- Define build and run commands or app spec.
- Set environment variables and secrets.
- Configure custom domains and HTTPS.
Functions (FaaS)
Use Functions for event-driven or lightweight API workloads.
- Create a Functions namespace.
- Deploy functions with doctl or the Control Panel.
- Configure environment variables and triggers.
- Monitor execution and logs.
Kubernetes (DOKS)
Use managed Kubernetes for multi-service container orchestration.
- Create a cluster and node pools.
- Save kubeconfig for cluster access.
- Deploy workloads with Kubernetes manifests.
- Pull images from Container Registry.
GPU Compute
Use GPU Droplets or Bare Metal GPUs for AI and ML workloads.
- GPU Droplets: VM-based GPU workloads with flexible sizing.
- Bare Metal GPUs: Dedicated GPU hardware for high performance.
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 · 109 lines · 50 tokens per session scan A cd745ded60b2
digitalocean-compute is a skill published in the GitHub repository bobmatnyc/claude-mpm-skills (75 stars, last pushed 1mo ago), licensed MIT. It adds 50 tokens to every session and 900 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.
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