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/openminis/minisskills/web-content-extractornpx skills add OpenMinis/MinisSkills --skill web-content-extractorgit clone --depth 1 https://github.com/OpenMinis/MinisSkillsWrote 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/openminis/minisskills/web-content-extractor)<a href="https://agentmods.dev/skills/openminis/minisskills/web-content-extractor"><img src="https://agentmods.dev/badge/skills/openminis/minisskills/web-content-extractor.svg" alt="Measured on agentmods" 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 | $0.00057 | $0.00551 |
| Opus 5 | $0.00028 | $0.00275 |
| Sonnet 5 | $0.00011 | $0.00110 |
| Haiku 4.5 | $0.00006 | $0.00055 |
Grade A, and why
web-content-extractor 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 6d 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.
3. **Fetch the content**: Use the `shell_execute` tool with `curl -sL "FETCH_URL"` to download the content. What it actually says
Web Content Extractor
This skill helps you extract the clean main content (body text/Markdown) from a webpage URL by using Defuddle or Jina AI's reader API.
How it works
To extract the content of a target URL, you will prepend a specific service URL to the target URL and fetch it. This converts the messy webpage into clean Markdown containing only the main content.
Available Services
-
Defuddle (Default)
- Format:
https://defuddle.md/<target-url> - Example:
https://defuddle.md/https://example.com/article - Use this as the primary method.
- Format:
-
Jina AI Reader (Fallback)
- Format:
https://r.jina.ai/<target-url> - Example:
https://r.jina.ai/https://example.com/article - Use this if Defuddle fails or returns an error.
- Format:
Execution Steps
- Identify the target URL: Extract the full URL the user wants to read from their request. Ensure it includes the protocol (e.g.,
https://). - Construct the fetch URL: Prepend
https://defuddle.md/to the target URL. - Fetch the content: Use the
shell_executetool withcurl -sL "FETCH_URL"to download the content.- Example command:
curl -sL "https://defuddle.md/https://example.com/article"
- Example command:
- Handle Fallbacks: If the
curlcommand fails, returns empty, or returns an error message indicating failure, try the Jina AI service instead:curl -sL "https://r.jina.ai/https://example.com/article" - Process the output: The output will be in Markdown format.
- If the user asked you to read it to answer a question, use the content to answer.
- If the user asked you to extract or save it, present the Markdown to them or save it to a file as requested.
Notes
- Always enclose the URL in quotes in the
curlcommand to prevent shell interpretation of special characters like&or?. - If the target URL is missing
http://orhttps://, prependhttps://before appending it to the service URL.
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.
- 6d ago First seen · 41 lines · 57 tokens per session scan A ba2e261e46a8
web-content-extractor is a skill published in the GitHub repository OpenMinis/MinisSkills (397 stars, last pushed yesterday), licensed MIT. It adds 57 tokens to every session and 551 once invoked, about $0.0003 per session on Opus 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 2026-08-30.
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