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 CarbeneAI/Forge --skill defuddlegit clone --depth 1 https://github.com/CarbeneAI/ForgeWrote 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/carbeneai/forge/defuddle)<a href="https://agentmods.dev/skills/carbeneai/forge/defuddle"><img src="https://agentmods.dev/badge/skills/carbeneai/forge/defuddle/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/carbeneai/forge/defuddle"><img src="https://agentmods.dev/badge/skills/carbeneai/forge/defuddle.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 | $0.00083 | $0.00638 |
| Opus 5 | $0.00042 | $0.00319 |
| Sonnet 5 | $0.00017 | $0.00128 |
| Haiku 4.5 | $0.00008 | $0.00064 |
Grade A, and why
defuddle scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 6d ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Nothing flagged
None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.
This is a copy
100% identical to defuddle — 0 lines differ, which has more behind it and is treated as the original. This page carries a canonical link to it rather than competing with it.
How it starts
The opening of the file, as written. The whole thing — 85 lines — stays where its author put it; the contents beside it link to each section on GitHub.
defuddle: Web Page Cleaner
Defuddle extracts the meaningful content from a web page and drops everything else: ads, cookie banners, nav bars, related articles, footers, social sharing buttons. What remains is the article body as clean markdown.
Use this before any URL ingestion. It is optional but strongly recommended. It cuts token usage by 40-60% on typical web articles and produces cleaner wiki pages.
Install
npm install -g defuddle-cli
Verify: defuddle --version
Usage
Clean a URL directly
defuddle https://example.com/article
Outputs clean markdown to stdout.
Save to .raw/
defuddle https://example.com/article > .raw/articles/article-slug-$(date +%Y-%m-%d).md
Add frontmatter header after saving
After running defuddle, prepend the source URL and fetch date:
SLUG="article-slug-$(date +%Y-%m-%d)"
{ echo "---"; echo "source_url: https://example.com/article"; echo "fetched: $(date +%Y-%m-%d)"; echo "---"; echo ""; defuddle https://example.com/article; } > .raw/articles/$SLUG.md
Clean a local HTML file
defuddle page.html
When to Use
Use defuddle when:
- Ingesting a news article, blog post, or documentation page from a URL
- The page has a lot of surrounding content (most web pages do)
- You want to stay within token budget on a long article
Skip defuddle when:
- The source is already a clean markdown or PDF file
- The page is a dashboard, app, or structured data (defuddle expects article-style content)
- defuddle is not installed and the article is short enough to process raw
Fallback
If defuddle is not installed, check:
which defuddle 2>/dev/null || echo "not installed"
If not installed: use WebFetch directly. The content will be less clean but still workable.
Integration with /wiki-ingest
The /wiki-ingest skill checks for defuddle automatically when a URL is passed. You do not need to run defuddle manually before ingesting a URL. The ingest skill will call it if available.
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 · 85 lines · 83 tokens per session scan A 24d3ce17635e
defuddle is a skill published in the GitHub repository CarbeneAI/Forge (9 stars, last pushed 1mo ago), licensed MIT. It adds 83 tokens to every session and 638 once invoked, about $0.0004 per session on Opus 5. A static security scan graded it A with 0 findings. It is 100% identical to defuddle, differing in 0 lines, and is treated as a copy.
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