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 jlaska/obsidian-claude-plugins --skill article-summarizergit clone --depth 1 https://github.com/jlaska/obsidian-claude-pluginsWrote 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/jlaska/obsidian-claude-plugins/article-summarizer)<a href="https://agentmods.dev/skills/jlaska/obsidian-claude-plugins/article-summarizer"><img src="https://agentmods.dev/badge/skills/jlaska/obsidian-claude-plugins/article-summarizer/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/jlaska/obsidian-claude-plugins/article-summarizer"><img src="https://agentmods.dev/badge/skills/jlaska/obsidian-claude-plugins/article-summarizer.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 | $0.00032 | $0.03277 |
| Opus 5.5 | $0.00013 | $0.01311 |
| Sonnet 5.5 | $0.00006 | $0.00655 |
| Haiku 4.5 | $0.00003 | $0.00328 |
Grade A, and why
article-summarizer 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.
python3 -c "import hashlib,urllib.parse; url='<url>'; \ How it starts
The opening of the file, as written. The whole thing — 326 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Article Summary
Fetches a web article, generates a concise summary with key takeaways and vault connections, and saves a structured reference note to the Obsidian vault's REFERENCES/ folder.
When to Use
Invoke /article-summarizer <url> when you want to:
- Capture a web article as a reference note in your vault
- Get a concise summary and key takeaways without reading the full piece
- Connect an article's ideas to existing notes in your vault
- Build a searchable library of articles and their learnings
Workflow
1. Discover Vault Root
Read Obsidian configuration to find the active vault:
cat ~/Library/Application\ Support/obsidian/obsidian.json
Parse the JSON to find the vault with "open": true, or use the most recently opened vault. Extract vault_root from the path field.
2. Fetch Article Content and Metadata
Fetch the article in two passes using WebFetch:
Pass A — metadata extraction (structured JSON):
WebFetch(url, prompt="Extract from this article: 1) the article title, 2) author name(s) — omit if not found, 3) publication date in YYYY-MM-DD format — omit if not found, 4) the site or publication name (e.g. 'The Atlantic', 'hbr.org'). Return ONLY a JSON object with keys: title, author, published, source. Use empty string for any field not found.")
Pass B — full article content (clean markdown):
WebFetch(url, prompt="Extract the main article content as clean markdown. Remove navigation menus, ads, sidebars, footers, cookie notices, social sharing buttons, related articles widgets, and comments sections. Preserve the article's headings, body paragraphs, lists, blockquotes, code blocks, and emphasis. Return only the article content.")
Then run the Python script to create the skeleton note:
python3 skills/article-summarizer/fetch_article.py "<vault_root>" "<url>" \
--title "<title>" \
--author "<author>" \
--published "<published>" \
--source "<source>"
The script outputs JSON to stdout:
What ships with it
2 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.
- 2mo ago First seen · 326 lines · 32 tokens per session scan A 6320e0b90146
article-summarizer is a skill published in the GitHub repository jlaska/obsidian-claude-plugins (2 stars, last pushed 4d ago), licensed MIT. It adds 32 tokens to every session and 3,277 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.
article-summarizer compared with skills from other repositories
| Mod | Type | Stars | Last push | Licence | Scan | Tokens | Works with |
|---|---|---|---|---|---|---|---|
| article-summarizerjlaska/obsidian-claude-plugins | Skill | 2 | 4d ago | MIT | A | 32 | Claude Code |
| imagegenopenai/codex | Skill | 135k | today | Apache-2.0 | A | 113 | Codex |
| playwright-climicrosoft/playwright | Skill | 100k | yesterday | Apache-2.0 | A | 19 | Claude Code |
| browser-automationopenclaw/openclaw | Skill | 394k | today | MIT | A | 36 | Claude Code |
| local-ai-agentsmicrosoft/ai-agents-for-beginners | Skill | 80k | 7d ago | MIT | A | 200 | Claude Code, Codex |
| next-cache-components-adoptionvercel/next.js | Skill | 144k | today | MIT | A | 95 | Claude Code |
| chat-pet-sprite-creationmicrosoft/vscode | Skill | 195k | today | MIT | A | 53 | Claude Code, Codex |