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 agentmods add skills/nicepkg/ai-workflow/article-extractornpx skills add nicepkg/ai-workflow --skill article-extractorgit clone --depth 1 https://github.com/nicepkg/ai-workflowWhat 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 | $0.00050 | $0.02452 |
| Opus 5 | $0.00025 | $0.01226 |
| Sonnet 5 | $0.00010 | $0.00490 |
| Haiku 4.5 | $0.00005 | $0.00245 |
Grade C, and why
article-extractor scanned grade C with 2 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 2d 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.
Downloads and executes remote codehighSupply chain
curl | sh runs whatever the server returns today, which is not necessarily what it returned when this was reviewed.
curl -s "URL" | python3 -c " Makes network callslowCapability
Not a fault in itself. Listed so you know the mod talks to something, and to what.
### Option 3: Fallback (curl + simple parsing) This is a copy
100% identical to article-extractor — 0 lines differ, which has more behind it and is treated as the original. This page carries a canonical link to it rather than competing with it.
How it starts
The opening of the file, as written. The whole thing — 370 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Article Extractor
This skill extracts the main content from web articles and blog posts, removing navigation, ads, newsletter signups, and other clutter. Saves clean, readable text.
When to Use This Skill
Activate when the user:
- Provides an article/blog URL and wants the text content
- Asks to "download this article"
- Wants to "extract the content from [URL]"
- Asks to "save this blog post as text"
- Needs clean article text without distractions
How It Works
Priority Order:
- Check if tools are installed (reader or trafilatura)
- Download and extract article using best available tool
- Clean up the content (remove extra whitespace, format properly)
- Save to file with article title as filename
- Confirm location and show preview
Installation Check
Check for article extraction tools in this order:
Option 1: reader (Recommended - Mozilla's Readability)
command -v reader
If not installed:
npm install -g @mozilla/readability-cli
# or
npm install -g reader-cli
Option 2: trafilatura (Python-based, very good)
command -v trafilatura
If not installed:
pip3 install trafilatura
Option 3: Fallback (curl + simple parsing)
If no tools available, use basic curl + text extraction (less reliable but works)
Extraction Methods
Method 1: Using reader (Best for most articles)
# Extract article
reader "URL" > article.txt
Pros:
- Based on Mozilla's Readability algorithm
- Excellent at removing clutter
- Preserves article structure
Method 2: Using trafilatura (Best for blogs/news)
# Extract article
trafilatura --URL "URL" --output-format txt > article.txt
# Or with more options
trafilatura --URL "URL" --output-format txt --no-comments --no-tables > article.txt
Pros:
- Very accurate extraction
- Good with various site structures
- Handles multiple languages
Options:
--no-comments: Skip comment sections--no-tables: Skip data tables--precision: Favor precision over recall--recall: Extract more content (may include some noise)
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.
- 2d ago First seen · 370 lines · 50 tokens per session scan C 779218713781
article-extractor is a skill published in the GitHub repository nicepkg/ai-workflow (282 stars, last pushed 7mo ago), licensed MIT. It adds 50 tokens to every session and 2,452 once invoked, about $0.0003 per session on Opus 5. A static security scan graded it C with 2 findings (downloads and executes remote code, makes network calls). It is 100% identical to article-extractor, differing in 0 lines, and is treated as a copy.
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