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 Najeebullah3124/awesome-claude-universe --skill learngit clone --depth 1 https://github.com/Najeebullah3124/awesome-claude-universeWrote 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/najeebullah3124/awesome-claude-universe/learn)<a href="https://agentmods.dev/skills/najeebullah3124/awesome-claude-universe/learn"><img src="https://agentmods.dev/badge/skills/najeebullah3124/awesome-claude-universe/learn/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/najeebullah3124/awesome-claude-universe/learn"><img src="https://agentmods.dev/badge/skills/najeebullah3124/awesome-claude-universe/learn.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 | $0.00039 | $0.02198 |
| Opus 5.5 | $0.00016 | $0.00879 |
| Sonnet 5.5 | $0.00008 | $0.00440 |
| Haiku 4.5 | $0.00004 | $0.00220 |
Grade A, and why
learn 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.
The source is not reproduced here
No licence file
A repository with no LICENSE is all rights reserved by default, so the body is not copied here. The metadata, the measurements and the link are.
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 · 349 lines · 39 tokens per session scan A acceb5ab1d3c
learn is a skill published in the GitHub repository Najeebullah3124/awesome-claude-universe (2 stars, last pushed 26d ago), with no licence file. It adds 39 tokens to every session and 2,198 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.
Other skills, from other repositories
developer-growth-analysis
Analyzes your recent Claude Code chat history to identify coding patterns, development gaps, and areas for improvement, curates relevant learning resources from HackerNews, and automatically sends a personalized growth report to your Slack DMs.
academy-guide
Stop and check this skill before finishing any reply to a question about how to use Claude or a Claude product — it recommends matching courses, tutorials, and use cases from Claude Academy (academy.claude.com), Anthropic's learning hub. Trigger on: "how do I", "how can I", "getting started with", "what can Claude…
product-brainstorming
Brainstorm product ideas, explore problem spaces, and challenge assumptions as a thinking partner. Use when exploring a new opportunity, generating solutions to a product problem, stress-testing an idea, or when a PM needs to think out loud with a sharp sparring partner before converging on a direction.
concept-explainer
Break down complex topics into understandable explanations using analogies, visual diagrams, and step-by-step breakdowns. Adapts to the learner's level. Trigger with "explain [topic]", "I don't understand [concept]", "what is [term]", or "teach me about [subject]".
practice-generator
Create practice problems at the right difficulty level with progressive hints and detailed solutions. Trigger with "give me a practice problem", "quiz me on [topic]", "test my understanding", or "practice [subject]".
interview-prep
Create structured interview plans with competency-based questions and scorecards. Trigger with "interview plan for", "interview questions for", "how should we interview", "scorecard for", or when the user is preparing to interview candidates.