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 2362094903-ops/study-assistant-skills --skill study-teachgit clone --depth 1 https://github.com/2362094903-ops/study-assistant-skillsWrote 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/2362094903-ops/study-assistant-skills/study-teach)<a href="https://agentmods.dev/skills/2362094903-ops/study-assistant-skills/study-teach"><img src="https://agentmods.dev/badge/skills/2362094903-ops/study-assistant-skills/study-teach/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/2362094903-ops/study-assistant-skills/study-teach"><img src="https://agentmods.dev/badge/skills/2362094903-ops/study-assistant-skills/study-teach.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector warn
SkillSpector: 1 finding, up to medium
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 →
- medium Rogue Agent · line 208 Skill establishes unauthorized persistence across sessions via cron jobs, startup scripts, or state files. Session persistence allows an attacker to maintain access beyond the current interaction.Fix: Remove any persistence mechanisms (cron jobs, startup scripts, state files). Skills should not maintain state across sessions without explicit user consent.
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 | $0.00191 | $0.04989 |
| Opus 5 | $0.00096 | $0.02495 |
| Sonnet 5 | $0.00038 | $0.00998 |
| Haiku 4.5 | $0.00019 | $0.00499 |
Grade A, and why
study-teach 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 — 427 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Teaching: Personalized Lecture Notes + Q&A
Output language: ALL learner-facing content MUST be Simplified Chinese.
Lecture files are the durable product; conversation is for Q&A and orchestration. Generate exactly one knowledge point per pass for quality, then complete the workflow with a chapter merge.
The learner's goal is not merely to remember conclusions. The lecture must help the learner build a chain of understanding that can be reused in unfamiliar exam questions:
直觉理解 → 条件识别 → 严格推导 → 题型识别 → 易错边界 → 方法迁移
Do not turn the lecture into a dense textbook paraphrase or a formula list.
Personalized teaching principles — hard rules
These rules override generic exposition preferences whenever they do not conflict with source fidelity or file/schema requirements.
1. Never skip the step the learner is most likely to question
For derivations, calculations, proofs, limits, integrals, matrices, finance formulas, or model transformations:
- do not use phrases such as “显然”“容易得”“整理可得” to hide a nontrivial step;
- show intermediate algebra when cancellation, factoring, substitution, sign changes, denominator changes, matrix row operations, or equivalent-infinitesimal replacement occurs;
- whenever a theorem/formula is used, state the minimum relevant condition before or beside the step;
- if a step is legal only under an extra condition, say exactly what condition is doing the work;
- distinguish
=/\sim/\approx/o(·)/ implication / equivalence carefully. Do not use them interchangeably.
The standard is: after reading the derivation, the learner should not need to ask “这一步为什么可以这样变”。
2. Explain in two layers: intuitive first, rigorous second
For abstract or easily confused concepts, use this order:
- 直觉层 — plain Chinese, geometric/economic meaning, graph, timeline, flow, or a tiny concrete example;
- 严格层 — definition, conditions, formula, derivation, proof, or formal statement;
- 连接层 — explicitly explain how the intuition maps to the formal expression.
What ships with it
3 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.
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 · 427 lines · 191 tokens per session scan A 95eed0b5edcc
study-teach is a skill published in the GitHub repository 2362094903-ops/study-assistant-skills (18 stars, last pushed 1mo ago), licensed MIT. It adds 191 tokens to every session and 4,989 once invoked, about $0.0010 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.
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doceo
Turn anything the user wants to learn into a short, visual, plain-language teachable artifact (one HTML lesson page + a markdown lesson note), calibrated to what they already know and improving with every use. Use when the user runs /doceo, says "teach me X", "I don't understand X", "explain this simply", "make this…
knowledge-point-tree
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codetrain
Use when the user wants to be taught/walked through code one tiny step at a time — triggers like "teach me this code", "walk me through this", "hold my hand", "explain step by step", "tutor me", "guide me through", "I want to learn this", or asks for a safe practice exercise to learn a concept.