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 JeanDiable/obsidian-claude --skill deep-researchgit clone --depth 1 https://github.com/JeanDiable/obsidian-claudeWrote 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/jeandiable/obsidian-claude/deep-research)<a href="https://agentmods.dev/skills/jeandiable/obsidian-claude/deep-research"><img src="https://agentmods.dev/badge/skills/jeandiable/obsidian-claude/deep-research/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/jeandiable/obsidian-claude/deep-research"><img src="https://agentmods.dev/badge/skills/jeandiable/obsidian-claude/deep-research.svg" alt="Reviewed on agentmods" width="80" height="20"></a>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 | $0.00024 | $0.00739 |
| Opus 5 | $0.00012 | $0.00369 |
| Sonnet 5 | $0.00005 | $0.00148 |
| Haiku 4.5 | $0.00002 | $0.00074 |
Grade A, and why
deep-research 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 10d 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 — 111 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Research
Systematic deep-dive into a topic. Combines vault knowledge with web research to produce a comprehensive research note with actionable learning roadmap.
Vault Path
/Library/Mobile Documents/iCloudmd~obsidian/Documents/My_note
Input
User provides a topic: /research <topic>
Workflow
Phase 1: Plan (Present to User)
-
Search existing vault knowledge:
obsidian search query="<topic terms>" limit=20 -
Web research using DuckDuckGo MCP:
- Search for comprehensive overviews, tutorials, academic resources
- Search for sub-topics and related domains
- Search for practical guides and implementations
-
Present research outline to user:
Topic: <topic> Existing vault knowledge: N files found Sub-topics identified: 1. Sub-topic A - Detail a1 - Detail a2 2. Sub-topic B ... Proposed structure: - Main research note in: 30_Areas/A1_科研学术/ (or appropriate folder) - Wiki entries to create: [list] -
Wait for user approval/adjustment.
Phase 2: Execute
- Create main research note at the approved location:
--- title: "<Topic> Research" created: YYYY-MM-DD modified: YYYY-MM-DD tags: [research, <domain-tags>] description: "Comprehensive research on <topic>" --- ## Related - [[ExistingVaultNote1]] — relationship - [[WikiEntry1]] — relationship # <Topic> ## Overview [High-level summary of the domain] ## Sub-topic 1: <Name> ### Background [Context and fundamentals] ### Key Concepts [Detailed explanation — reference [[WikiEntries]] where applicable] ### Detailed Outline [Leaf-level details — specific enough to act on] ## Sub-topic 2: <Name> [Same structure] ... ## Learning Roadmap ### Beginner (0-3 months) - [ ] Step 1: ... - [ ] Step 2: ... ### Intermediate (3-6 months) - [ ] Step 3: ... ### Advanced (6-12 months) - [ ] Step 4: ... ## Resources - [Resource 1](URL) — description - [Resource 2](URL) — description
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.
- 10d ago First seen · 111 lines · 24 tokens per session scan A b64e00b25d7e
deep-research is a skill published in the GitHub repository JeanDiable/obsidian-claude (2 stars, last pushed 6mo ago), licensed MIT. It adds 24 tokens to every session and 739 once invoked, about $0.0001 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 2026-08-31.
Other skills, from other repositories
hr-onboarding
A new-hire onboarding plan as a single page — first week schedule, buddy + manager intro, learning track, equipment checklist, and "you're set when…" outcomes. Use when the brief mentions "onboarding", "new hire", "first week plan", or "入职".
book-mirror
Take any book (EPUB/PDF), produce a personalized chapter-by-chapter analysis. Each chapter is preserved in detail (The Chapter) and mirrored back to the reader's actual life (The Mirror) using brain context. The mirror observes and resonates — a friend pointing out parallels, NOT a consultant rearranging the reader's…
miniapp
Build a tiny interactive HTML playground only when someone asks to see, play with, or step through a mechanism.
eli5
Explain research, papers, or technical ideas in plain English with minimal jargon, concrete analogies, and clear takeaways. Use when the user says "ELI5 this", asks for a simple explanation of a paper or research result, wants jargon removed, or asks what something technically dense actually means.
deck-course-module
A course or workshop slide template with persistent learning goals, teaching pages, multiple-choice self-tests, and a wrap-up.
master-yinguang
A reference-based assistant for questions about Yinguang and Pure Land Buddhism, a Buddhist tradition focused on faith, ethical living, and practice connected with rebirth in the Pure Land. It can answer in Yinguang’s historical teaching style.