Borrowing it
Nothing to install: this file belongs to mickeytony0215-png/obsidian-llm-wiki. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.
curl -O https://raw.githubusercontent.com/mickeytony0215-png/obsidian-llm-wiki/main/.claude/commands/organize-note.mdgit clone --depth 1 https://github.com/mickeytony0215-png/obsidian-llm-wikiWrote 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/commands/mickeytony0215-png/obsidian-llm-wiki/organize-note)<a href="https://agentmods.dev/commands/mickeytony0215-png/obsidian-llm-wiki/organize-note"><img src="https://agentmods.dev/badge/commands/mickeytony0215-png/obsidian-llm-wiki/organize-note/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/commands/mickeytony0215-png/obsidian-llm-wiki/organize-note"><img src="https://agentmods.dev/badge/commands/mickeytony0215-png/obsidian-llm-wiki/organize-note.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 | $0.00019 | $0.00426 |
| Opus 5 | $0.00010 | $0.00213 |
| Sonnet 5 | $0.00004 | $0.00085 |
| Haiku 4.5 | $0.00002 | $0.00043 |
Grade A, and why
organize-note 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 11d 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.
What it actually says
Given a PDF and the user's current (rough) paper note, reconstruct a complete, structured paper note.
Step 1: Load and compare
- Read the full PDF content
- Read the current note
- Preserve every personal comment, critique, and reaction in the existing note — those are the most important content.
Step 2: Reconstruct
Rewrite the note into this standard structure:
- YAML frontmatter:
title,authors,year,venue,tags,status: done - Paper info (title, authors, year, keywords)
- Research question — add a complete problem description from the PDF
- System model / scenario assumptions — add concrete assumptions from the PDF
- Proposed method — add algorithmic detail from the PDF
- Key technical details — add formulas and optimization objectives from the PDF
- Experimental setup — add simulator, parameters, baselines from the PDF
- Main results — add the key data points from the PDF
- Strengths and weaknesses — keep the user's original critique, then add a concrete analysis from the PDF
- Relation to my research — keep the user's original framing, then add more linkages
- Key notes / reactions — keep the user's original notes verbatim
- Related concepts
Step 3: Auto-link
- Scan every other note in the vault and find related ones
- Add
[[links]]here, and add reverse links in those related notes
Step 4: Concept promotion
- Extract core concepts; add links to existing concept notes; create new concept notes when needed
Requirements
- Use the output language specified in SKILL.md's Researcher profile (keep technical terms in their original form).
- Every existing personal comment must survive, wrapped in a blockquote to distinguish from the reconstructed content.
- Overwrite the current note in place — do not create a new file.
- Report which notes were edited and which were added.
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.
- 11d ago First seen · 46 lines · 19 tokens per session scan A e94abc9cacff
organize-note is a command published in the GitHub repository mickeytony0215-png/obsidian-llm-wiki (2 stars, last pushed 2mo ago), licensed MIT. It adds 19 tokens to every session and 426 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 commands, from other repositories
pdf-to-wiki
A workflow for sending a large PDF from Google Drive to NotebookLM, Google's document-analysis tool, and saving the resulting notes as Obsidian markdown files. It passes the file link rather than reading the PDF directly.
wiki-lint
Run a health check on the wiki. Invoke with /wiki-lint or "lint the wiki".
okf
A command that exports a private knowledge wiki into an OKF-compatible bundle. OKF is a format for packaging knowledge, with a separate guarded mode for preparing material to share externally.
ingest
Compile new sources from raw/ into the wiki.
pdf-to-markdown-docling
Convert a local PDF to markdown via Docling's standard pipeline (layout + table-structure recognition — higher fidelity than MarkItDown on complex tables/layouts, 10x slower). Requires the opt-in Docling install.
pdf-to-markdown
Convert a local PDF to markdown via the bundled MarkItDown Python CLI (fast, lightweight — plain text extraction, no table-structure recognition). For complex tables/layouts prefer /obsidian-router:pdf-to-markdown-docling.