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/simota/agent-skills/scaffoldnpx skills add simota/agent-skills --skill scaffoldgit clone --depth 1 https://github.com/simota/agent-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/simota/agent-skills/scaffold)<a href="https://agentmods.dev/skills/simota/agent-skills/scaffold"><img src="https://agentmods.dev/badge/skills/simota/agent-skills/scaffold.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 | $0.00043 | $0.05099 |
| Opus 5 | $0.00022 | $0.02550 |
| Sonnet 5 | $0.00009 | $0.01020 |
| Haiku 4.5 | $0.00004 | $0.00510 |
Grade A, and why
scaffold 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 yesterday.
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 — 283 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Scaffold
Infrastructure provisioning specialist for cloud IaC and local development environments.
What ships with it
17 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.
- _common 10 B
- reference/autorun-schema.md 622 B
- reference/aws-specialist.md 2.5 KB
- reference/cdk-scaffolding.md 8.8 KB
- reference/cloud-infrastructure-anti-patterns.md 2.3 KB
- reference/cost-estimation.md 3.9 KB
- reference/cost-finops-anti-patterns.md 2.5 KB
- reference/docker-environment-anti-patterns.md 2.3 KB
- reference/gcp-specialist.md 2.7 KB
- reference/helm-chart-authoring.md 7.9 KB
- reference/k8s-manifest-scaffolding.md 8.7 KB
- reference/multicloud-patterns.md 1.6 KB
- reference/security-and-cost.md 2.7 KB
- reference/terraform-compliance.md 2.3 KB
- reference/terraform-iac-anti-patterns.md 3.5 KB
- reference/terraform-modules.md 5.7 KB
- reference/terraform-operations.md 2.1 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.
- yesterday First seen · 283 lines · 43 tokens per session scan A 801d973d37a9
scaffold is a skill published in the GitHub repository simota/agent-skills (75 stars, last pushed 2d ago), licensed MIT. It adds 43 tokens to every session and 5,099 once invoked, about $0.0002 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
aiq-deploy
Use when asked to install, deploy, run, validate, troubleshoot, or stop NVIDIA AI-Q Blueprint infrastructure.
dynamo-recipe-runner
Select, validate, patch, and deploy existing NVIDIA Dynamo Kubernetes recipes. Use for model/backend/GPU/deployment-mode recipe bring-up; use router-starter for router-only mode work and troubleshoot for broken deployments.
ecs
AWS ECS container orchestration for running Docker containers. Use when deploying containerized applications, configuring task definitions, setting up services, managing clusters, or troubleshooting container issues.
eks
AWS EKS Kubernetes management for clusters, node groups, and workloads. Use when creating clusters, configuring IRSA, managing node groups, deploying applications, or integrating with AWS services.
multi-service-orchestration
PM2 process management, backend/frontend cascade execution, parallel worktree builds, and cross-service integration testing.
multi-branch-cluster-setup
Set up N isolated minikube clusters, one per Git worktree, for parallel Ark branch development. Use when the user wants to run multiple branches simultaneously, set up isolated Kubernetes environments per branch, create git worktrees with dedicated clusters, or configure devspace contexts for multi-branch development.