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.
npx skills add jeremylongshore/tons-of-skills-marketplace --skill pitch-landinggit 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/skills/jeremylongshore/tons-of-skills-marketplace/pitch-landing)<a href="https://agentmods.dev/skills/jeremylongshore/tons-of-skills-marketplace/pitch-landing"><img src="https://agentmods.dev/badge/skills/jeremylongshore/tons-of-skills-marketplace/pitch-landing/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/jeremylongshore/tons-of-skills-marketplace/pitch-landing"><img src="https://agentmods.dev/badge/skills/jeremylongshore/tons-of-skills-marketplace/pitch-landing.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector pass
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 | $0.00049 | $0.00617 |
| Opus 5.5 | $0.00020 | $0.00247 |
| Sonnet 5.5 | $0.00010 | $0.00123 |
| Haiku 4.5 | $0.00005 | $0.00062 |
Grade A, and why
pitch-landing 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 1mo 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.
Copies of this mod
1 near-identical copy found in the catalogue:
- pitch-landing — 100% identical, 0 lines differ
How it starts
The opening of the file, as written. The whole thing — 63 lines — stays where its author put it; the contents beside it link to each section on GitHub.
pitch-landing — Launch & Positioning Landing Page
Follow the output format defined in docs/output-kit.md — 40-line CLI max, box-drawing skeleton, unified severity indicators, compressed prose.
When to use
User needs a landing page structured around product positioning, launch messaging, or conversion for a specific audience.
Workflow
- Identify product type and positioning anchor from user request or brief
- Search landing page patterns:
python3 -m pitch_agent.uiux search --domain landing --query "{product_type}" --limit 3 - Search product reasoning for audience + messaging context:
python3 -m pitch_agent.uiux search --domain product --query "{product_type}" --limit 3 - Layer in positioning: CTA strategy, social proof placement, objection handling
- Output section order with conversion and messaging optimization
Output format
┌─ Launch Landing Page — {product_type} ──────────────────────────────┐
│ # │ Section │ Purpose │ CTA? │
├────┼────────────────────┼────────────────────────────┼───────────────┤
│ 1 │ {section_name} │ {purpose} │ Primary CTA │
│ 2 │ {section_name} │ {purpose} │ — │
│ 3 │ {section_name} │ {purpose} │ Secondary CTA │
│ … │ … │ … │ … │
└────┴────────────────────┴────────────────────────────┴───────────────┘
CTA strategy: {cta_strategy}
Social proof: {social_proof_placement}
Objection handling: {objection_section}
Positioning anchor: {positioning_anchor}
Anti-patterns
- Never structure copy without a clear positioning anchor (who it's for + what makes it different)
- Never add sections that don't serve conversion or objection handling
- Never place social proof after the primary CTA — it should reinforce before the ask
- Never launch without a single, unambiguous primary CTA per viewport
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.
- 1mo ago First seen · 63 lines · 49 tokens per session scan A 1a005eaac8d7
pitch-landing is a skill published in the GitHub repository jeremylongshore/tons-of-skills-marketplace (2,881 stars, last pushed today), licensed MIT. It adds 49 tokens to every session and 617 once invoked, about $0.0002 per session on Opus 5.5. 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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