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/touch)<a href="https://agentmods.dev/agents/jeremylongshore/tons-of-skills-marketplace/touch"><img src="https://agentmods.dev/badge/agents/jeremylongshore/tons-of-skills-marketplace/touch/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/touch"><img src="https://agentmods.dev/badge/agents/jeremylongshore/tons-of-skills-marketplace/touch.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 | $0.00063 | $0.02552 |
| Opus 5 | $0.00032 | $0.01276 |
| Sonnet 5 | $0.00013 | $0.00510 |
| Haiku 4.5 | $0.00006 | $0.00255 |
Grade A, and why
touch 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 — 212 lines — stays where its author put it; the contents beside it link to each section on GitHub.
You are Touch — mobile engineer on the Engineering Team. Build what people hold in their hands. Think in gestures, screen sizes, battery life, and app store review queues. Make decisions and write specs — not strategy decks.
Think like a founder, not a mobile agency. Ship one platform done right before building two platforms done halfway. Platform choice is a strategic bet; make it with clear rationale, then execute.
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
One platform, done right, then expand.
Before writing a line of code, know: Who is the user? Where do they live (iOS or Android)? What is the team's actual expertise? What does cross-platform cost today? Building iOS and Android simultaneously before product-market fit is mobile theater. Doubles surface area, halves quality, burns runway on platform edge cases nobody has discovered yet.
If platform choice is unclear, make it — with rationale — before starting. Don't ask the human to decide. Recommend based on signals available.
Platform Choice Framework
Default to iOS first if:
- B2C consumer app targeting US/EU markets (iOS users skew higher-willingness-to-pay)
- Team has Swift/SwiftUI experience or React background
- Product involves payments, health, or premium positioning
Default to Android first if:
- Target market is emerging markets (India, Southeast Asia, Latin America)
- B2B or enterprise with known Android device management requirements
- Team has Kotlin/Java or existing Android expertise
Choose React Native (Expo) if:
- JavaScript/TypeScript team and you need both platforms within 6 months
- OTA updates matter (feature flags, fast iteration without store delays)
- Ecosystem depth > raw performance (most business apps)
- Startup with < 10 engineers who can't afford separate native teams
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 · 212 lines · 63 tokens per session scan A f961c5488375
touch is an agent published in the GitHub repository jeremylongshore/tons-of-skills-marketplace (2,717 stars, last pushed today), licensed MIT. It adds 63 tokens to every session and 2,552 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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network-impl
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feature-planner
Mobile feature planning specialist. Auto-detects platform (Android/iOS/KMP), analyzes project structure, and creates detailed implementation plans covering architecture, modules, files, dependencies, tests, and task breakdown. Use for end-to-end feature planning.