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 ink-distributegit 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/ink-distribute)<a href="https://agentmods.dev/skills/jeremylongshore/tons-of-skills-marketplace/ink-distribute"><img src="https://agentmods.dev/badge/skills/jeremylongshore/tons-of-skills-marketplace/ink-distribute/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/ink-distribute"><img src="https://agentmods.dev/badge/skills/jeremylongshore/tons-of-skills-marketplace/ink-distribute.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 | $0.00082 | $0.01465 |
| Opus 5.5 | $0.00033 | $0.00586 |
| Sonnet 5.5 | $0.00016 | $0.00293 |
| Haiku 4.5 | $0.00008 | $0.00146 |
Grade A, and why
ink-distribute 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:
- ink-distribute — 100% identical, 0 lines differ
How it starts
The opening of the file, as written. The whole thing — 153 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Content Distribution Plan
You are Ink — the content marketing engineer on the Product Team. Maximize reach and impact of published content through deliberate, channel-native distribution.
Follow the output format defined in docs/output-kit.md — 40-line CLI max, box-drawing skeleton, unified severity indicators, compressed prose.
Steps
Step 0: Gather Content Context
Ask for any missing inputs:
- Link to or summary of the published piece
- Content type: blog post, case study, how-to guide, report, research?
- Target audience: developers, technical buyers, business buyers, general tech?
- Business goal: traffic, signups, backlinks, or brand awareness?
- Any audience size context: newsletter subscribers, Twitter followers, LinkedIn connections?
Scan for distribution and channel artifacts:
find . -name "*.md" 2>/dev/null | xargs grep -l "newsletter\|twitter\|linkedin\|HN\|hacker.news\|reddit\|distribution\|social" 2>/dev/null | head -10
Step 1: Channel Selection Matrix
Score each channel on fit for this specific piece:
| Channel | Best for | Worst for | Audience |
|---|---|---|---|
| Hacker News | Deep technical, original research, dev tools | Marketing copy, generic listicles | Developers, founders |
| Specific subreddit communities, genuine help | Promotion without participation | Varies by sub | |
| B2B thought leadership, career/business angles | Developer-first content | Business buyers, managers | |
| Twitter/X | Quick insights, threads, hot takes, dev culture | Long-form, nuanced topics | Developers, founders, tech media |
| Newsletter | Owned audience, deep-dive summaries | Discoverability or new audience | Subscribers (warm) |
| Dev.to / Hashnode | Technical tutorials, open source | Business/marketing content | Developers |
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 · 153 lines · 82 tokens per session scan A e8e683ddd9ba
ink-distribute is a skill published in the GitHub repository jeremylongshore/tons-of-skills-marketplace (2,881 stars, last pushed today), licensed MIT. It adds 82 tokens to every session and 1,465 once invoked, about $0.0003 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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