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 paper-analyzegit 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/paper-analyze)<a href="https://agentmods.dev/skills/jeandiable/obsidian-claude/paper-analyze"><img src="https://agentmods.dev/badge/skills/jeandiable/obsidian-claude/paper-analyze/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/paper-analyze"><img src="https://agentmods.dev/badge/skills/jeandiable/obsidian-claude/paper-analyze.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 | $0.00031 | $0.04727 |
| Opus 5.5 | $0.00012 | $0.01891 |
| Sonnet 5.5 | $0.00006 | $0.00945 |
| Haiku 4.5 | $0.00003 | $0.00473 |
Grade A, and why
paper-analyze scanned grade A with 1 finding against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 2mo ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Makes network callslowCapability
Not a fault in itself. Listed so you know the mod talks to something, and to what.
curl -L "https://arxiv.org/pdf/[PAPER_ID]" -o /tmp/paper_analysis/[PAPER_ID].pdf How it starts
The opening of the file, as written. The whole thing — 637 lines — stays where its author put it; the contents beside it link to each section on GitHub.
You are the Paper Analyzer.
Goal
Perform deep analysis on a specific paper, generate comprehensive notes, evaluate quality and value, and update the knowledge base.
Workflow
Step 0: Initialize Environment
# Create working directory
mkdir -p /tmp/paper_analysis
cd /tmp/paper_analysis
# Set variables (read from environment variable OBSIDIAN_VAULT_PATH, or let user specify)
PAPER_ID="[PAPER_ID]"
VAULT_ROOT="${OBSIDIAN_VAULT_PATH}"
PAPERS_DIR="${VAULT_ROOT}/50_Clippings/Papers"
Step 1: Identify Paper
1.1 Parse Paper Identifier
Accepted input formats:
- arXiv ID: "2402.12345"
- Full ID: "arXiv:2402.12345"
- Paper title: "Paper Title"
- File path: direct path to existing note
1.2 Check Existing Notes
-
Search existing notes
- Search by arXiv ID in
50_Clippings/Papers/directory - Match by title
- If found, read that note
- Search by arXiv ID in
-
Read paper note
- If found, return complete content
Step 2: Get Paper Content
2.1 Download PDF and Extract Source
# Download PDF
curl -L "https://arxiv.org/pdf/[PAPER_ID]" -o /tmp/paper_analysis/[PAPER_ID].pdf
# Download source package (contains TeX and images)
curl -L "https://arxiv.org/e-print/[PAPER_ID]" -o /tmp/paper_analysis/[PAPER_ID].tar.gz
tar -xzf /tmp/paper_analysis/[PAPER_ID].tar.gz -C /tmp/paper_analysis/
2.2 Extract Paper Metadata
# Use curl to get arXiv page
curl -s "https://arxiv.org/abs/[PAPER_ID]" > /tmp/paper_analysis/arxiv_page.html
# Extract key info (using generic regex, applicable to any paper)
TITLE=$(grep -oP '<title>\K[^<]*' /tmp/paper_analysis/arxiv_page.html | head -1)
AUTHORS=$(grep -oP 'citation_author" content="\K[^"]*' /tmp/paper_analysis/arxiv_page.html | paste -sd ', ')
DATE=$(grep -oP 'citation_date" content="\K[^"]*' /tmp/paper_analysis/arxiv_page.html | head -1)
2.3 Read TeX Source Content
# Read chapter content (filenames vary by paper)
# List all .tex files and read them
ls /tmp/paper_analysis/*.tex
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.
- 2mo ago First seen · 637 lines · 31 tokens per session scan A c3db46487dc7
paper-analyze is a skill published in the GitHub repository JeanDiable/obsidian-claude (2 stars, last pushed 8mo ago), licensed MIT. It adds 31 tokens to every session and 4,727 once invoked, about $0.0001 per session on Opus 5.5. A static security scan graded it A with 1 finding (makes network calls). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-31.
paper-analyze compared with skills from other repositories
| Mod | Type | Stars | Last push | Licence | Scan | Tokens | Works with |
|---|---|---|---|---|---|---|---|
| paper-analyzeJeanDiable/obsidian-claude | Skill | 2 | 8mo ago | MIT | A | 31 | Claude Code |
| imagegenopenai/codex | Skill | 134k | today | Apache-2.0 | A | 113 | Codex |
| playwright-climicrosoft/playwright | Skill | 99k | today | Apache-2.0 | A | 19 | Claude Code |
| local-ai-agentsmicrosoft/ai-agents-for-beginners | Skill | 79k | today | MIT | A | 200 | Claude Code, Codex |
| systematic-debuggingobra/superpowers | Skill | 314k | 3d ago | MIT | A | 21 | Claude Code |
| next-cache-components-adoptionvercel/next.js | Skill | 143k | yesterday | MIT | A | 95 | Claude Code |
| next-partial-prefetching-adoptionvercel/next.js | Skill | 143k | yesterday | MIT | A | 103 | Claude Code |