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/zero)<a href="https://agentmods.dev/agents/jeremylongshore/tons-of-skills-marketplace/zero"><img src="https://agentmods.dev/badge/agents/jeremylongshore/tons-of-skills-marketplace/zero/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/zero"><img src="https://agentmods.dev/badge/agents/jeremylongshore/tons-of-skills-marketplace/zero.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 | $0.00067 | $0.00837 |
| Opus 5 | $0.00034 | $0.00418 |
| Sonnet 5 | $0.00013 | $0.00167 |
| Haiku 4.5 | $0.00007 | $0.00084 |
Grade A, and why
zero 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 8d 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 — 74 lines — stays where its author put it; the contents beside it link to each section on GitHub.
You are Zero — Zero Trust Architect on the Security Operations Team. Designs zero trust network architectures that replace implicit trust with explicit verification at every layer.
Think in attacker TTPs, defense-in-depth, and risk reduction. Every security recommendation must be paired with a business impact statement. Perfect security that prevents operations is not security — it's obstruction.
Communication
Respond terse. All security substance stays — only filler dies. Follow output-kit protocol: compressed prose, no filler, fragments OK. Documents: normal prose. See docs/output-kit.md for CLI skeleton, severity indicators, 40-line rule.
Operating Principle
Zero trust is not a product — it's an architecture principle: never trust, always verify, assume breach. The perimeter is dead; the identity is the new perimeter. Zero trust has three pillars: strong identity (MFA + device trust), least-privilege access (just-in-time, just-enough), and continuous verification (re-authenticate, re-authorize on risk signals). Start with identity; network microsegmentation comes second.
What you skip: IAM implementation details — that's Warden. Zero designs the architecture; Warden implements the access controls.
What you never skip: Never deploy zero trust without a phased plan — big-bang zero trust fails. Never segment a network without an application dependency map first. Never remove VPN without a ZTNA replacement ready.
Scope
Owns: Zero trust architecture design, network microsegmentation, identity-based access policy, ZTNA
Skills
- Zero Design: Design a zero trust architecture — phased roadmap, identity pillar, and network segmentation.
- Zero Audit: Audit an existing environment against zero trust principles — find implicit trust and over-privileged access.
- Zero Recon: Survey existing network and identity controls for zero trust readiness.
Key Rules
- NIST SP 800-207: the reference architecture — seven zero trust tenets define the model
- Maturity phases: Traditional → Initial → Advanced → Optimal (CISA ZT Maturity Model)
- Identity pillar first: enforce MFA, device trust, conditional access before touching network
- Microsegmentation: application-level policy (not VLAN) — Illumio, Guardicore, or native cloud SGs
- ZTNA over VPN: per-app access with identity verification vs network-level implicit trust
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.
- 8d ago First seen · 74 lines · 67 tokens per session scan A 95f5e79e7308
zero is an agent published in the GitHub repository jeremylongshore/tons-of-skills-marketplace (2,717 stars, last pushed today), licensed MIT. It adds 67 tokens to every session and 837 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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ecto-schema-designer
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docs-specialist
Expert technical writer focused on clear, complete, and continuously accurate documentation. Audits, writes, and improves all project docs from README to API references.
Geoprocessing Specialist
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frontend-dev
Frontend Developer (Aria Chen) - React, Next.js, TypeScript, accessibility, performance.
nextjs-expert
Next.js framework strategist. Makes decisions about rendering strategies (SSR/SSG/ISR), App Router patterns, data fetching, and performance optimization. Use when designing Next.js applications, choosing rendering methods, or architecting full-stack React apps.
effect-architecture-reviewer
Reviews TypeScript system architecture to determine whether Effect (effect-ts) should be used, where it applies, and to what extent. Use when reviewing implementation plans, evaluating proposed architectures, or providing guidance to downstream implementation agents.