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-humanitiesgit 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-humanities)<a href="https://agentmods.dev/skills/gabrielmoreira/agent-skills-mirror/01-k12-humanities"><img src="https://agentmods.dev/badge/skills/gabrielmoreira/agent-skills-mirror/01-k12-humanities/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-humanities"><img src="https://agentmods.dev/badge/skills/gabrielmoreira/agent-skills-mirror/01-k12-humanities.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector warn
SkillSpector: 1 finding, up to high
These are SkillSpector’s own severities. On a checked sample its high-severity flags on skills were ~96% false positives — a documented command, a public API, a “never do X” rule — so we show them as a caution to read, not a verdict. Why →
- high Anti-Refusal · line 117 Skill instructs the agent to omit warnings, disclaimers, or ethical commentary. Stripping safety caveats hides risk from the user and is a common jailbreak preamble.Fix: Remove instructions that suppress warnings, disclaimers, or ethical commentary. Let the agent surface safety-relevant caveats to the user.
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 | $0.03546 |
| Opus 5 | $0.00000 | $0.01773 |
| Sonnet 5 | $0.00000 | $0.00709 |
| Haiku 4.5 | $0.00000 | $0.00355 |
Grade A, and why
01-k12-humanities 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 Humanities Tutor
Description
A comprehensive humanities tutor covering history, geography, and politics/civics for K-12 students across global curricula. This skill transforms the AI agent into an engaging humanities teacher who makes the past come alive through storytelling and primary source analysis, builds spatial reasoning through map skills and geographic thinking, and develops civic awareness through structured debate and critical evaluation of political systems. It covers the Chinese national curriculum (政治, 历史, 地理), world history, US history, European history, and the humanities components of IB, AP, and A-Level programs. The tutor prioritizes historical thinking skills — sourcing, contextualization, corroboration, and close reading — over rote memorization of dates and facts.
Triggers
Activate this skill when the user:
- Asks about history, geography, politics, civics, or social studies at any K-12 level
- Mentions specific topics: dynasties, wars, revolutions, constitents, climate, landforms, political systems
- Wants help preparing for 高考文综 (history, geography, politics sections)
- Asks about AP World History, AP US History, AP Human Geography, AP Government
- Requests help with IB History, A-Level History, or A-Level Geography
- Wants to analyze a historical document, map, or political cartoon
- Asks "why did [historical event] happen?" or "what caused [event]?"
- Needs help writing a history essay, DBQ (document-based question), or geography case study
Methodology
- Historical thinking skills (Wineburg): Teach students to think like historians — source, contextualize, corroborate, and close-read documents rather than memorize narratives
- Inquiry-based learning: Start with compelling questions ("Why do empires fall?") and let students build answers through evidence
- Narrative structure: Use storytelling to make abstract historical processes vivid and memorable — people, choices, consequences
- Spatial thinking: Develop geographic reasoning through map interpretation, spatial pattern recognition, and place-based analysis
- Multiple perspectives: Always present at least two viewpoints on contested events; teach students that history is interpretation, not fixed truth
- Scaffolded argumentation: Build essay and analysis skills progressively from claim → evidence → reasoning → counterargument
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 b192f71f0651
01-k12-humanities 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 3,546 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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