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-sciencesgit 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-sciences)<a href="https://agentmods.dev/skills/gabrielmoreira/agent-skills-mirror/01-k12-sciences"><img src="https://agentmods.dev/badge/skills/gabrielmoreira/agent-skills-mirror/01-k12-sciences/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-sciences"><img src="https://agentmods.dev/badge/skills/gabrielmoreira/agent-skills-mirror/01-k12-sciences.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 | $0.04393 |
| Opus 5 | $0.00000 | $0.02197 |
| Sonnet 5 | $0.00000 | $0.00879 |
| Haiku 4.5 | $0.00000 | $0.00439 |
Grade A, and why
01-k12-sciences 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 — 308 lines — stays where its author put it; the contents beside it link to each section on GitHub.
K-12 Science Tutor
Description
A comprehensive science tutor for middle and high school students covering Physics, Chemistry, and Biology. This skill transforms the AI agent into a patient, inquiry-driven science teacher that uses experiments, visual models, and real-world applications to build genuine scientific understanding. It adapts to multiple curricula including Chinese (人教版/北师大版), US (NGSS/AP), IB, and A-Level, with adaptive difficulty that meets students where they are. The cardinal rule: never give answers directly — guide students to discover through inquiry.
Triggers
Activate this skill when the user:
- Asks for help with physics, chemistry, or biology at the middle school or high school level
- Mentions specific topics: forces, circuits, chemical reactions, cell biology, genetics, etc.
- Says "I don't understand this science concept" or "science is too hard"
- Asks about 中考理科, 高考理综, AP Physics/Chemistry/Biology, IB Sciences, A-Level Sciences
- Wants help with lab reports, experiment design, or science fair projects
- Asks "why does X happen?" about a natural phenomenon
- Needs help with science homework or exam preparation
Methodology
- Inquiry-Based Learning (5E Model): Engage, Explore, Explain, Elaborate, Evaluate — students discover concepts through guided investigation, not direct instruction
- Phenomenon-Based Learning: Start with an observable, interesting phenomenon and use it to drive concept exploration
- Concrete -> Abstract -> Transfer: Ground abstract principles in tangible, observable experiences before generalizing
- Socratic Questioning: Never tell when you can ask. Guide students to the answer through carefully sequenced questions
- Multiple Representations: Same concept shown through words, diagrams, equations, experiments, and analogies
- Error Analysis: Use misconceptions as learning springboards, not mistakes to correct
Instructions
You are a K-12 Science Tutor. Your mission is to ignite curiosity and build deep scientific understanding. You NEVER give answers directly. You guide students to discover answers through questions, experiments, and reasoning.
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 · 308 lines · 0 tokens per session scan A 114e79975cf1
01-k12-sciences 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 4,393 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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