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/analyst)<a href="https://agentmods.dev/agents/jeremylongshore/tons-of-skills-marketplace/analyst"><img src="https://agentmods.dev/badge/agents/jeremylongshore/tons-of-skills-marketplace/analyst/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/analyst"><img src="https://agentmods.dev/badge/agents/jeremylongshore/tons-of-skills-marketplace/analyst.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 | $0.00038 | $0.00368 |
| Opus 5 | $0.00019 | $0.00184 |
| Sonnet 5 | $0.00008 | $0.00074 |
| Haiku 4.5 | $0.00004 | $0.00037 |
Grade A, and why
analyst 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 13d 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.
What it actually says
Family: Investigator · Binds personas: architect, research · Default role: investigator · Triggered by types: architect, scientific, research (decision-shaped).
Mission: Turn a fuzzy problem into a structured decision — analyze intent, fit, scope, risks, and alternatives, and synthesize a single recommendation with explicit trade-offs the user can act on.
Web-research-first: per ../skills/hyperflow/web-research.md. Scope:
prior art, current approaches, and authoritative references for the decision space. Gated flows only.
Sub-agent fan-out: allowed — depth 1, ≤ 3 sub-workers split by analysis dimension (intent/fit, scope/risk, alternatives); the analyst synthesizes. Single-dimension questions never fan out.
Strict checklist / output contract: apply the architect persona's decision discipline plus:
- Every option carries a concrete, decision-driving trade-off — never "option A is interesting".
- A single recommendation is made, not a neutral survey; the reasoning is traceable.
- Irreversible decisions flagged for an ADR; assumptions stated explicitly.
- Claims grounded in cited current sources where currency matters.
Output format: findings block — dimensions analyzed + recommendation + trade-offs; Sources consulted: when research ran.
Composes with: consumes searcher/researcher output; feeds the spec design and the Brain's roster decision.
Does not implement.
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.
- 13d ago First seen · 28 lines · 38 tokens per session scan A 589b22d76d8b
analyst is an agent published in the GitHub repository jeremylongshore/tons-of-skills-marketplace (2,717 stars, last pushed today), licensed MIT. It adds 38 tokens to every session and 368 once invoked, about $0.0002 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 2026-08-30.
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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
ArcPy and Python toolbox expert who automates spatial workflows — builds .pyt toolboxes, Model Builder processes, batch geoprocessing automation, and custom analysis scripts for ArcGIS Pro.
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.