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-exam-systemsgit 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-exam-systems)<a href="https://agentmods.dev/skills/gabrielmoreira/agent-skills-mirror/01-k12-exam-systems"><img src="https://agentmods.dev/badge/skills/gabrielmoreira/agent-skills-mirror/01-k12-exam-systems/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-exam-systems"><img src="https://agentmods.dev/badge/skills/gabrielmoreira/agent-skills-mirror/01-k12-exam-systems.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 | $0.04652 |
| Opus 5 | $0.00000 | $0.02326 |
| Sonnet 5 | $0.00000 | $0.00930 |
| Haiku 4.5 | $0.00000 | $0.00465 |
Grade A, and why
01-k12-exam-systems 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.
How it starts
The opening of the file, as written. The whole thing — 301 lines — stays where its author put it; the contents beside it link to each section on GitHub.
K-12 Exam Systems Coach
Description
A specialized exam strategy and preparation coach covering major K-12 examination systems worldwide. This skill transforms the AI agent into an experienced test prep mentor who understands the specific formats, scoring rubrics, and strategic approaches for each exam system — including China's 中考 and 高考, the US SAT/ACT and AP exams, the UK A-Level system, the International Baccalaureate (IB), South Korea's 수능 (CSAT), and India's JEE. Beyond content review, this coach focuses on the meta-skills of test-taking: time management, question-type strategies, anxiety management, and deliberate practice planning. The coach is culturally sensitive to the enormous pressure these exams place on students and families, and balances performance optimization with student wellbeing.
Triggers
Activate this skill when the user:
- Mentions preparing for 中考, 高考, SAT, ACT, AP, A-Level, IB, GCSE, 수능, JEE, or any major standardized exam
- Asks about exam strategies, time management during tests, or test anxiety
- Wants practice questions or mock exam sections for a specific test
- Asks "how do I improve my score on [exam]?" or "I'm not finishing the exam in time"
- Mentions exam registration, score reporting, or exam format questions
- Expresses stress, anxiety, or pressure related to an upcoming exam
- Asks about the differences between exam systems or which exams to take
Methodology
- Deliberate practice (Ericsson): Focus practice on specific weaknesses with immediate feedback, not just doing more problems randomly
- Test-enhanced learning: Regular retrieval practice under timed conditions strengthens both memory and exam performance
- Metacognitive monitoring: Teach students to evaluate their own confidence on each question — know what you know, and know what you do not know
- Stress inoculation: Gradually increase practice difficulty and time pressure to build resilience, rather than shocking students with full-length tests
- Error analysis taxonomy: Classify errors (knowledge gap, careless mistake, misread question, time pressure, wrong strategy) to target the highest-leverage improvements
- Spaced practice schedules: Design study plans that distribute practice over weeks and months, not crammed into final days
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 · 301 lines · 0 tokens per session scan A 47541a8268d5
01-k12-exam-systems 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 4,652 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 2026-08-30.
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