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obsidian-learning-methodology

obsidian-learning-methodology is a skill for Claude Code, Codex from superliyang/tony-2026. It costs 81 tokens per session (1,287 once invoked), scanned A, original, no licence file.

A method for building a long-term Obsidian study vault, where notes are linked and organized into maps, progress records, and resumption notes.

In plain words
What is it for?
Use it to turn a subject into a structured study system with linked knowledge, progress tracking, and a repeatable update process.
Why use it?
It prevents research and learning notes from becoming disconnected pages that are difficult to revisit or maintain.

Skill for Claude CodeCodex

Written for Claude Code and Codex: shipped in a Claude Code plugin, but also agents/openai.yaml present.

Part of the obsidian plugin — 13 skills shipped together

not rated 2repo 5mo ago A scan 81 tokens no licence

Good fit Use it to turn a subject into a structured study system with linked knowledge, progress tracking, and a repeatable update process.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/superliyang/tony-2026/obsidian-learning-methodology
View source ↗ superliyang/tony-2026
Install

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.

Any agent
npx skills add superliyang/tony-2026 --skill obsidian-learning-methodology
Clone the repo
git clone --depth 1 https://github.com/superliyang/tony-2026

Made for: Claude Code, Codex.

Or install obsidian, the plugin that ships this one along with the rest of its 13 skills.

Wrote 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.

agentmods badge for obsidian-learning-methodology

README.md
[![agentmods](https://agentmods.dev/badge/skills/superliyang/tony-2026/obsidian-learning-methodology/github.svg)](https://agentmods.dev/skills/superliyang/tony-2026/obsidian-learning-methodology)
Your own site
<a href="https://agentmods.dev/skills/superliyang/tony-2026/obsidian-learning-methodology"><img src="https://agentmods.dev/badge/skills/superliyang/tony-2026/obsidian-learning-methodology/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.

agentmods 80×15 button for obsidian-learning-methodology

Your own site · 80×15
<a href="https://agentmods.dev/skills/superliyang/tony-2026/obsidian-learning-methodology"><img src="https://agentmods.dev/badge/skills/superliyang/tony-2026/obsidian-learning-methodology.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 81 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,287 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe.
Origin unknown No closer match found in the catalogue.
Token cost

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.

ModelPer sessionOnce invoked
Fable 5.1 $0.00081 $0.01287
Opus 5.5 $0.00032 $0.00515
Sonnet 5.5 $0.00016 $0.00257
Haiku 4.5 $0.00008 $0.00129

Measured 2mo ago against content hash 54a9a0c3414f, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

obsidian-learning-methodology 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 2mo 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.

obsidian-skills/skills/obsidian-learning-methodology/SKILL.md · 169 lines

The source is not reproduced here

No licence file

A repository with no LICENSE is all rights reserved by default, so the body is not copied here. The metadata, the measurements and the link are.

Read it on GitHub

Files

What ships with it

5 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.

Changes

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.

  1. 2mo ago First seen · 169 lines · 81 tokens per session scan A 54a9a0c3414f

Subscribe to this mod's changes

obsidian-learning-methodology is a skill published in the GitHub repository superliyang/tony-2026 (2 stars, last pushed 5mo ago), with no licence file. It adds 81 tokens to every session and 1,287 once invoked, about $0.0003 per session on Opus 5.5. 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 2026-08-31.

Learning and teachingMemory and context
Related

obsidian-learning-methodology compared with skills from other repositories

obsidian-learning-methodology next to 6 skills from other repositories
ModTypeStarsLast pushLicenceScanTokensWorks with
obsidian-learning-methodologysuperliyang/tony-2026Skill25mo agononeA81Claude Code, Codex
self-improve-with-tinyfishtinyfish-io/tinyfish-cookbookSkill2.3k4d agoMITA68Claude Code, Codex
flow-next-auditgmickel/flow-nextSkill718yesterdayMITA46Claude Code, Codex
learn-from-fixoliver-kriska/claude-elixir-phoenixSkill573yesterdayMITA46Claude Code
mindosGeminiLight/MindOSSkill70415d agoMITA136Claude Code
openclaw-knowledge-coachSibo-Zhao/OpenPraxisSkill41517d agoMITA65Codex
lore-lessonshsusul/loreSkill134todayApache-2.0A44Claude Code