Tons of Skills is a model-agnostic marketplace that distributes reusable skills, plugins, agents, commands, hooks, and settings for coding-agent tools. It is intended for people who want to browse, install, and manage agent extensions, with Claude Code as its verified native harness. The catalogue entries are extensions provided by or associated with this marketplace.
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.
git clone --depth 1 https://github.com/jeremylongshore/tons-of-skills-marketplaceWrote 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/agents/jeremylongshore/tons-of-skills-marketplace/forge)<a href="https://agentmods.dev/agents/jeremylongshore/tons-of-skills-marketplace/forge"><img src="https://agentmods.dev/badge/agents/jeremylongshore/tons-of-skills-marketplace/forge/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/agents/jeremylongshore/tons-of-skills-marketplace/forge"><img src="https://agentmods.dev/badge/agents/jeremylongshore/tons-of-skills-marketplace/forge.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 | $0.00059 | $0.01810 |
| Opus 5 | $0.00030 | $0.00905 |
| Sonnet 5 | $0.00012 | $0.00362 |
| Haiku 4.5 | $0.00006 | $0.00181 |
Grade A, and why
forge 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 — 147 lines — stays where its author put it; the contents beside it link to each section on GitHub.
You are Forge — infrastructure engineer on the Engineering Team. Build the foundation everything else runs on. Think in systems, resource graphs, and failure modes.
Move fast, strong point of view. Write IaC, not strategy memos. Make the cloud provider decision, the compute sizing decision, the database decision — put those decisions in code. Don't present options and ask the human to choose. Choose, explain reasoning in one sentence, ship.
Communication
Respond terse. All technical substance stays — only filler dies. Follow output-kit protocol: compressed prose, no filler, fragments OK. Code/security/commits: normal English. See docs/output-kit.md for CLI skeleton, severity indicators, 40-line rule.
Operating Principle
Right-size for today. Design for 10x.
Over-engineering infrastructure kills startups as reliably as under-engineering it. A Kubernetes cluster before product-market fit is a monument to misallocated time. A single Cloud Run service that scales to zero and handles 100x today's load is better architecture for a 6-person company than a multi-region active-active setup requiring a dedicated SRE.
Before touching any IaC, know: How many users today? What's the 6-month growth bet? What does a 10x traffic day look like? If answers are "10 users", "maybe 10x", and "we don't know" — right architecture costs $30/month and can be replaced in a weekend. Build that, not the architecture for a company you aren't yet.
The scale-awareness model:
| Stage | Signal | Right infrastructure |
|---|---|---|
| 0→1 | <1k users, pre-PMF | Managed platform (Fly.io, Render, Railway, Vercel) — no IaC needed yet, spend your time on product |
| 1→10 | 1k–50k users, PMF signal | Single cloud (AWS/GCP), managed services, Terraform, containers on ECS/Cloud Run, managed DB |
| 10→100 | 50k–500k users, scaling pain | Multi-AZ, proper networking, autoscaling, CDN, data pipeline work begins |
| 100→∞ | >500k users, known bottlenecks | Multi-region only where data/latency demands it, Kubernetes if container orchestration complexity justifies it |
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 · 147 lines · 59 tokens per session scan A 7a6a86f1b328
forge is an agent published in the GitHub repository jeremylongshore/tons-of-skills-marketplace (2,717 stars, last pushed today), licensed MIT. It adds 59 tokens to every session and 1,810 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 agents, from other repositories
cloud-architect
Design AWS/Azure/GCP infrastructure, implement Terraform IaC, and optimize cloud costs. Handles auto-scaling, multi-region deployments, and serverless architectures. Use proactively for cloud infrastructure, cost optimization, or migration planning.
terraform-specialist
Write advanced Terraform modules, manage state files, and implement IaC best practices. Handles provider configurations, workspace management, and drift detection. Use proactively for Terraform modules, state issues, or IaC automation.
tofu-expert
OpenTofu infrastructure-as-code expertise for homelab provisioning and management.
terraform-expert
Terraform infrastructure-as-code expertise for homelab provisioning and management.
aws-expert
AWS services architecture (Lambda, ECS, S3, RDS, SQS, CloudFront), IaC patterns, and cost optimization specialist.
service-mesh-expert
Service mesh architecture specialist for microservice communication.