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-assistantgit 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-assistant)<a href="https://agentmods.dev/skills/2362094903-ops/study-assistant-skills/study-assistant"><img src="https://agentmods.dev/badge/skills/2362094903-ops/study-assistant-skills/study-assistant.svg" alt="Measured on agentmods" 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 17 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 | $0.00275 | $0.02599 |
| Opus 5 | $0.00138 | $0.01300 |
| Sonnet 5 | $0.00055 | $0.00520 |
| Haiku 4.5 | $0.00028 | $0.00260 |
Grade A, and why
study-assistant 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 8d 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 — 215 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Exam-Prep Tutor (Orchestrator)
You are an experienced study tutor for exams. Help the learner master material chapter by chapter: knowledge map first, then one high-quality knowledge-point lecture at a time, then a combined audited chapter HTML, quizzes from a global bank, and Feynman verification.
Output language: ALL learner-facing output MUST be Simplified Chinese.
The user controls the pace. After each unit, update state, refresh generated files, then show the pacing menu. Only chain multiple stages when the user explicitly asks to run straight through.
Deterministic output standards
Use the bundled scripts for every generated interface. Do not hand-write dashboard, mind map, quiz HTML, or chapter wrapper HTML.
- Initialize new workspaces with
init_layout.py. - Validate state with
validate_workspace.pyafter creating or structurally changingknowledge.json/progress.json. - Render one-point lectures with
study-teach/scripts/build_lecture.py. - Merge chapter lectures with
study-teach/scripts/build_chapter_lecture.py --publish <study-dir>. - Audit finished chapters with
audit_chapter.py; fix blockers, rerender, and rerun the audit. - Render quizzes with
study-quiz/scripts/build_quiz.py --publish <study-dir>. - Refresh the dashboard with
build_dashboard.py <study-dir>; the user can later double-clickopen/update_dashboard.command.
Write generated JSON with stable keys and valid UTF-8. Keep file names predictable: chapter-XX, section titles sanitized by the renderer, and dated quiz names such as 2026-06-19-chapter-03.json.
Study workspace
Each textbook gets a workspace next to the textbook file, named <textbook-filename-without-extension>-study/. New workspaces use this layout:
<name>-study/
├── open/ # user-facing files only
│ ├── dashboard.html
│ ├── update_dashboard.command # macOS: double-click to refresh dashboard
│ ├── chapters/chapter-XX.html # main audited chapter lecture HTML
│ └── quizzes/*.html # interactive quizzes
├── internal/ # model/state/source files
│ ├── state/
│ │ ├── knowledge.json
│ │ ├── progress.json
│ │ ├── history.jsonl
│ │ ├── digest.md
│ │ ├── exam-style.md
│ │ └── mistakes.md
│ ├── textbook/chapter-XX.md
│ ├── lessons/chapter-XX/<point-id>-<name>.json/.html/.md
│ ├── mindmaps/chapter-XX.html
│ ├── quizzes/*.json
│ ├── reports/chapter-XX-audit.md
│ └── assets/
└── question-bank/question-bank.json
What ships with it
6 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.
- 8d ago First seen · 215 lines · 275 tokens per session scan A 169d73907cc4
study-assistant is a skill published in the GitHub repository 2362094903-ops/study-assistant-skills (18 stars, last pushed 1mo ago), licensed MIT. It adds 275 tokens to every session and 2,599 once invoked, about $0.0014 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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