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 eddiebelaval/squire --skill defuddlegit clone --depth 1 https://github.com/eddiebelaval/squireWrote 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/eddiebelaval/squire/defuddle)<a href="https://agentmods.dev/skills/eddiebelaval/squire/defuddle"><img src="https://agentmods.dev/badge/skills/eddiebelaval/squire/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/eddiebelaval/squire/defuddle"><img src="https://agentmods.dev/badge/skills/eddiebelaval/squire/defuddle.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector pass
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 | $0.00054 | $0.00365 |
| Opus 5 | $0.00027 | $0.00182 |
| Sonnet 5 | $0.00011 | $0.00073 |
| Haiku 4.5 | $0.00005 | $0.00036 |
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 7d 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.
What it actually says
Defuddle
Core Workflows
Workflow 1: Primary Action
- Analyze the input and context
- Validate prerequisites are met
- Execute the core operation
- Verify the output meets expectations
- Report results
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-cli
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 |
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.
- 7d ago First seen · 62 lines · 54 tokens per session scan A f6dbb9865e9d
defuddle is a skill published in the GitHub repository eddiebelaval/squire (21 stars, last pushed 25d ago), licensed MIT. It adds 54 tokens to every session and 365 once invoked, about $0.0003 per session on Opus 5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-09-03.
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