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 agentmods add skills/hainrixz/aprende-skill/learnnpx skills add Hainrixz/aprende-skill --skill learngit clone --depth 1 https://github.com/Hainrixz/aprende-skillWrote 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/hainrixz/aprende-skill/learn)<a href="https://agentmods.dev/skills/hainrixz/aprende-skill/learn"><img src="https://agentmods.dev/badge/skills/hainrixz/aprende-skill/learn.svg" alt="Measured on agentmods" 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 | $0.00052 | $0.00350 |
| Opus 5 | $0.00026 | $0.00175 |
| Sonnet 5 | $0.00010 | $0.00070 |
| Haiku 4.5 | $0.00005 | $0.00035 |
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 4d 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
learn — English alias for /aprende
This skill is a thin shim. When /learn is invoked, follow the exact
workflow documented in:
~/.claude/skills/aprende/SKILL.md
or, if installed via the plugin, at:
<plugin-root>/skills/aprende/SKILL.md
There is no behavior difference between /learn and /aprende. Both run
the same 5-pass workflow (scan → generate → dedup → confirm → execute),
write to the same memory folders, follow the same guardrails, and produce
identical output. /learn exists so English-only users can find it.
For the full instructions, output format, and safety rules, read
aprende/SKILL.md and follow it verbatim. Do not duplicate logic here.
Quick pointer
- Full workflow:
references/../../aprende/SKILL.md(sibling skill). - Output formats:
aprende/references/memory-format.md,aprende/references/lesson-format.md. - Confirmation template:
aprende/prompts/confirmation-template.md.
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.
- 4d ago First seen · 47 lines · 52 tokens per session scan A 5d301cdf119e
learn is a skill published in the GitHub repository Hainrixz/aprende-skill (23 stars, last pushed 1mo ago), licensed MIT. It adds 52 tokens to every session and 350 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 2026-08-30.
Other skills, from other repositories
Effective Memory
The essential habits for an AI agent with memory — session bookends, learning triggers, verification, safety, and the operational discipline that turns raw recall into compounding intelligence. Pinned, always-injected.
acontext-installer
Install Acontext, Login & Init Acontext Project, Add Skill Memory to Agent.
obsidian-knowledge-brain
Schema: 4.0 | Lines: ≤200 | Load: Always (if skill active) Platforms: Claude Code — full auto (hooks + cron). Cursor / Gemini CLI / Codex — manual trigger (type "收尾" to save, "诊断" to bootstrap). Requires an AI Agent with file read/write. Not designed for plain-terminal or Agent-free use. / CC 全自动，其他平台需手动输入口令触发。.
knowledge-absorber
深度解析链接/文档/代码，生成导师级教学笔记 + Wan 2.7 知识海报。 Use when user asks to: 学习、分析、解读、整理、吸收、读懂 任何文档或代码 Trigger keywords: 学习、分析、知识卡片、知识海报、解读文档、整理笔记、知识库、存入知识库 支持 PDF/Word/Markdown/代码/图片，自动真理锚定验证，国学内容自动水墨风格。 When user provides: URL链接、文件路径、代码文件、图片 → 生成知识卡片 When user says: "生成海报"、"知识海报" → 额外生成 Wan 2.7 信息图.
cortivex-cross-repo
Cross-repository intelligence layer that transfers learned insights between repositories through technology fingerprinting, pattern matching, and privacy-safe sharing.
cortivex-learn
Self-learning system that records and applies insights from pipeline executions.