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 glebis/claude-skills --skill learning-vaultgit clone --depth 1 https://github.com/glebis/claude-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/glebis/claude-skills/learning-vault)<a href="https://agentmods.dev/skills/glebis/claude-skills/learning-vault"><img src="https://agentmods.dev/badge/skills/glebis/claude-skills/learning-vault/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/glebis/claude-skills/learning-vault"><img src="https://agentmods.dev/badge/skills/glebis/claude-skills/learning-vault.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 3 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 | $0.00084 | $0.01821 |
| Opus 5 | $0.00042 | $0.00911 |
| Sonnet 5 | $0.00017 | $0.00364 |
| Haiku 4.5 | $0.00008 | $0.00182 |
Grade A, and why
learning-vault 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 5d 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 — 199 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Learning Vault Generator
Create a fully structured Obsidian vault for any learning goal — certification exams, courses, skill acquisition, or research programs.
Trigger Phrases
- "create a learning vault for X"
- "build a study vault"
- "set up a certification vault"
- "learning vault for [topic]"
- "/learning-vault"
Interactive Setup
Ask the user these questions (use AskUserQuestion):
1. Subject & Goal
- What is the learning goal? (certification, course, skill, research)
- What is the subject? (e.g., "AWS Solutions Architect", "Rust programming", "Machine Learning")
- Is there a specific exam or assessment? If yes, get: format, passing score, domains/topics, timeline
2. Structure
- How many main topics/domains? (auto-detect from curriculum if URL provided)
- Are there courses to track? (get URLs, lesson counts)
- Are there scenarios/practice areas?
3. Self-Assessment
- For each domain/topic, ask: "How confident are you?" (expert/strong/moderate/needs-work/no-experience)
- This drives the study priority ordering
4. Configuration
- Vault location (default: ~/Brains/{subject-slug}/)
- Daily notes? (yes/no)
- Dataview plugin assumed? (yes — required for queries)
Vault Architecture
Based on the genome vault pattern at ~/Brains/genome/:
{vault}/
├── Dashboard.md — central hub with dataview queries
├── MoC - Courses.md — course progress tracker
├── MoC - Domains.md — domain/topic overview
├── MoC - Concepts.md — key concepts by domain
├── MoC - Scenarios.md — practice scenarios (if applicable)
├── Action Items.md — dataview task aggregator
├── Question Index.md — navigate by question type
├── Key Pitfalls.md — common mistakes to avoid
├── Exam Cheat Sheet.md — last-minute review card
├── Courses/ — one note per course
│ └── {Course Name}.md
├── Domains/ — one note per domain/topic
│ └── {Domain Name}.md
├── Concepts/ — atomic knowledge units
│ └── {Concept Name}.md
├── Scenarios/ — practice scenarios
│ └── {Scenario Name}.md
├── Lessons/ — individual lesson notes
│ └── Lesson - {Name}.md
├── Resources/ — links, study plans
│ ├── Official Links.md
│ └── Study Plan.md
├── Templates/ — note templates
│ ├── _Course.md
│ ├── _Lesson.md
│ ├── _Concept.md
│ ├── _Scenario.md
│ └── _Domain.md
└── .obsidian/
├── app.json
├── community-plugins.json
└── plugins/
└── dataview/
├── main.js — copy from reference vault
├── manifest.json
├── styles.css
└── data.json — enable DataviewJS, inline queries, HTML
What ships with it
4 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.
- 5d ago First seen · 199 lines · 84 tokens per session scan A 022a04df51ca
learning-vault is a skill published in the GitHub repository glebis/claude-skills (374 stars, last pushed 7d ago), licensed MIT. It adds 84 tokens to every session and 1,821 once invoked, about $0.0004 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 2026-09-03.
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