defuddle

A command-line tool and procedure for turning ordinary web pages into clean Markdown by removing navigation, advertisements, and other clutter.

In plain words
What is it for?
Use it when reading or analyzing a web page, especially to extract its main text or selected metadata such as the title, description, or domain.
Why use it?
It makes online articles and documentation easier to read and gives an assistant less irrelevant page content to process.

Skill for Claude CodeCodex

Part of the obsidian plugin — 5 skills shipped together

Install

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.

agentmods
npx agentmods add skills/atman-33/workhub/defuddle
Any agent
npx skills add atman-33/workhub --skill defuddle
Clone the repo
git clone --depth 1 https://github.com/atman-33/workhub

Made for: Claude Code, Codex.

Or install obsidian, the plugin that ships this one along with the rest of its 5 skills.

Per session 74 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 277 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. Scan, not verified.
Origin 100% copy Near-identical to another mod in the catalogue.
Token cost

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.

ModelPer sessionOnce invoked
Fable 5 $0.00074 $0.00277
Opus 5 $0.00037 $0.00138
Sonnet 5 $0.00015 $0.00055
Haiku 4.5 $0.00007 $0.00028

Measured 2d ago against content hash 10673a4dc70a, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

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 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.

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.

Origin

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.

plugins/obsidian/skills/defuddle/SKILL.md · 42 lines

What it actually says

Defuddle

Use Defuddle CLI to extract clean readable content from web pages. Prefer over WebFetch for standard web pages — it removes navigation, ads, and clutter, reducing token usage.

If not installed: npm install -g defuddle

Usage

Always use --md for markdown output:

defuddle parse <url> --md

Save to file:

defuddle parse <url> --md -o content.md

Extract specific metadata:

defuddle parse <url> -p title
defuddle parse <url> -p description
defuddle parse <url> -p domain

Output formats

Flag Format
--md Markdown (default choice)
--json JSON with both HTML and markdown
(none) HTML
-p <name> Specific metadata property
Changes

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.

  1. 2d ago First seen · 42 lines · 74 tokens per session scan A 10673a4dc70a

Subscribe to this mod's changes

defuddle is a skill published in the GitHub repository atman-33/workhub (2 stars, last pushed 3d ago), licensed MIT. It adds 74 tokens to every session and 277 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.

Related

Other skills, from other repositories

gonavi-cli

Operate databases through the GoNavi headless CLI — the gonavi executable shipped in verified GitHub Release archives. Covers listing/adding/importing saved connections, running SQL queries against saved connections or ad-hoc connection files, exporting result sets to csv/json/md/html/xlsx, batch-executing SQL files…

Syngnat/GoNavi · 144 tokens

memory

Use this skill when Pioneer should proactively use durable memory or recalled context: decide whether memory can improve a turn, answer from remembered user/project facts, request memory tools, search/list/get stored memories, save durable preferences or project decisions, forget memories, audit or clean up memory, or…

pioneerdotai/pioneer · 64 tokens

subagents

Use this skill when Pioneer should delegate current-turn work to attached task-backed subagents, coordinate parallel child agents, wait for child results, review/revise/accept/cancel/detach attached work, or synthesize accepted child results into the parent answer.

pioneerdotai/pioneer · 54 tokens

writing-staffing

Dispatch reference for composing writing teams. Teaches which extra skills to attach via --skills, which resources to reference in spawn prompts, and when to fan out versus run parallel lanes. Load when staffing a workflow.

Natsummerance/readMD · 47 tokens

trellis-meta

Understand and customize the local Trellis architecture inside a user project. Use when modifying .trellis plus platform hooks, settings, agents, skills, commands, prompts, workflows, the channel runtime (trellis channel), bundled runtime agents under .trellis/agents/, selectable workflow templates, registry-backed…

fy-agent/fyagent · 110 tokens

trellis-brainstorm

Guides collaborative requirements discovery before implementation. Creates task directory, seeds PRD, asks high-value questions one at a time, researches technical choices, and converges on MVP scope. Use when requirements are unclear, there are multiple valid approaches, or the user describes a new feature or complex…

fy-agent/fyagent · 65 tokens