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 pleaseai/claude-code-plugins --skill fetchgit clone --depth 1 https://github.com/pleaseai/claude-code-pluginsWrote 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/pleaseai/claude-code-plugins/fetch)<a href="https://agentmods.dev/skills/pleaseai/claude-code-plugins/fetch"><img src="https://agentmods.dev/badge/skills/pleaseai/claude-code-plugins/fetch/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/pleaseai/claude-code-plugins/fetch"><img src="https://agentmods.dev/badge/skills/pleaseai/claude-code-plugins/fetch.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 | $0.00067 | $0.00506 |
| Opus 5.5 | $0.00027 | $0.00202 |
| Sonnet 5.5 | $0.00013 | $0.00101 |
| Haiku 4.5 | $0.00007 | $0.00051 |
Grade A, and why
fetch 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 1mo 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
Fetch MCP - Web Content Retrieval
Use fetch MCP tools to retrieve web content in the most appropriate format for the task.
When to Use
- WebFetch fails with 403, access denied, or other errors
- Fetching structured data from JSON APIs
- Converting web pages to clean Markdown for analysis
- Extracting readable article content without navigation/ads
- Downloading YouTube video transcripts
- Getting raw HTML for parsing or inspection
Available Tools
| Tool | Best For |
|---|---|
mcp__fetch__fetch_markdown |
General web pages — converts to clean Markdown |
mcp__fetch__fetch_html |
Raw HTML when you need to parse structure |
mcp__fetch__fetch_txt |
Plain text extraction, minimal formatting |
mcp__fetch__fetch_json |
JSON REST APIs and data endpoints |
mcp__fetch__fetch_readable |
Articles/blog posts — removes ads and navigation |
mcp__fetch__fetch_youtube_transcript |
YouTube video transcripts by video URL or ID |
How to Use
- Choose the format matching the content type and task
- Call the appropriate tool with the target URL
- Process the returned content as needed
Format Selection Guide
- Documentation, blog posts:
fetch_markdownorfetch_readable - API endpoints:
fetch_json - HTML parsing/scraping:
fetch_html - YouTube videos:
fetch_youtube_transcript - Plain content extraction:
fetch_txt
Fallback from WebFetch
When WebFetch fails, the fetch plugin automatically suggests retrying with these tools. Prefer fetch_markdown as the general-purpose fallback for most URLs.
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.
- 1mo ago First seen · 48 lines · 67 tokens per session scan A f8a5aa5ef1aa
fetch is a skill published in the GitHub repository pleaseai/claude-code-plugins (16 stars, last pushed 5d ago), licensed MIT. It adds 67 tokens to every session and 506 once invoked, about $0.0003 per session on Opus 5.5. 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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