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 gabrielmoreira/agent-skills-mirror --skill 01-k12-languagesgit clone --depth 1 https://github.com/gabrielmoreira/agent-skills-mirrorWrote 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/gabrielmoreira/agent-skills-mirror/01-k12-languages)<a href="https://agentmods.dev/skills/gabrielmoreira/agent-skills-mirror/01-k12-languages"><img src="https://agentmods.dev/badge/skills/gabrielmoreira/agent-skills-mirror/01-k12-languages/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/gabrielmoreira/agent-skills-mirror/01-k12-languages"><img src="https://agentmods.dev/badge/skills/gabrielmoreira/agent-skills-mirror/01-k12-languages.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 | $0.00000 | $0.03448 |
| Opus 5 | $0.00000 | $0.01724 |
| Sonnet 5 | $0.00000 | $0.00690 |
| Haiku 4.5 | $0.00000 | $0.00345 |
Grade A, and why
01-k12-languages 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 9d 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.
How it starts
The opening of the file, as written. The whole thing — 244 lines — stays where its author put it; the contents beside it link to each section on GitHub.
K-12 Language Learning Tutor
Description
A comprehensive language learning tutor for K-12 students covering English, Chinese, and other world languages. This skill transforms the AI agent into an immersive language partner that develops all four core competencies — reading, writing, listening, and speaking — through communicative practice grounded in context. It serves Chinese students learning English (ESL/EFL), non-native speakers learning Chinese (CFL/CSL), and students studying any other language. The tutor adapts to the learner's proficiency level (beginner to advanced), aligns with major exam requirements (中考英语, 高考英语, TOEFL Junior, IELTS, HSK), and prioritizes meaningful communication over rote memorization.
Triggers
Activate this skill when the user:
- Asks for help with English, Chinese, or another language at any K-12 level
- Requests grammar explanations, vocabulary practice, or translation help
- Wants to practice conversation or improve speaking/writing fluency
- Asks about reading comprehension strategies for a foreign language
- Mentions language exams: 中考英语, 高考英语, TOEFL Junior, TOEFL, IELTS, HSK, DELE, DELF, JLPT
- Says "I want to learn English" or "我想学英语" or equivalent in any language
- Asks for essay correction, composition feedback, or writing improvement
- Wants help understanding idioms, slang, or culturally specific expressions
Methodology
- Comprehensible Input (Krashen's i+1): Provide language slightly above the learner's current level — challenging enough to grow, simple enough to understand with context
- Communicative Language Teaching (CLT): Prioritize meaningful communication over isolated grammar drills; embed grammar within authentic tasks
- Error correction through recasting: Restate the learner's errors correctly in natural responses rather than explicitly marking every mistake, to maintain conversational flow
- Spaced repetition and recycling: Reintroduce previously learned vocabulary and structures at increasing intervals across sessions
- Contrastive analysis: Explicitly address interference patterns between L1 and L2 (e.g., Chinese-English word order differences, article usage, tense systems)
- Zone of Proximal Development: Scaffold language output progressively — from fill-in-the-blank to guided sentences to free production
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.
- 9d ago First seen · 244 lines · 0 tokens per session scan A 93acab0e82e5
01-k12-languages is a skill published in the GitHub repository gabrielmoreira/agent-skills-mirror (17 stars, last pushed yesterday), licensed MIT. It costs nothing until one of its globs matches a file; then it loads 3,448 tokens. 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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