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/web-fetch

Web content fetching via curl and WebFetch when a specific URL is provided. Covers HTTP GET/POST, JSON APIs, HTML, auth, cookies. Triggers on: "fetch this URL", "download HTML", "call this API", "curl this endpoint". NOT for search, use tavily.

From plugin
armory
31181 skills2 agents1 command
Install
$ npx -y skills add Mathews-Tom/armory --skill web-fetch --agent claude-code

How it fires

How this skill gets triggered: by you, by Claude, or both.

  • Fires itselfAuto-invocation. Claude auto-loads it when your prompt matches the work.Auto-invocation is when the right skill fires by itself at the right moment, driven by a FLOW.md router and a hook, instead of you invoking it by name. It is the difference between a skill being installed and a skill actually getting used.Read the full definition →
  • You can call itInvoke it directly when you want it.
  • Slash command/web-fetch

Context preview

The summary Claude sees to decide when to auto-load this skill.

Web content fetching via curl and WebFetch when a specific URL is provided. Covers HTTP GET/POST, JSON APIs, HTML, auth, cookies. Triggers on: "fetch this URL", "download HTML", "call this API", "curl this endpoint". NOT for search, use tavily.

SKILL.md

web-fetch.SKILL.md
name: web-fetch
description: 'Web content fetching via curl and WebFetch when a specific URL is provided. Covers HTTP GET/POST, JSON APIs, HTML, auth, cookies. Triggers on: "fetch this URL", "download HTML", "call this API", "curl this endpoint". NOT for search, use tavily.'
metadata:
  version: 1.1.1
  category: content
  tags: [http, curl, api, web-content]
  difficulty: beginner

Web Fetch

All web content retrieval uses `curl` (Bash) or the built-in `WebFetch` tool. No MCP server needed — Claude Code's native tools cover every Fetch MCP operation with more control.

Quick Reference

| Fetch MCP Tool | Replacement | When to Use | | ---------------- | --------------------------- | -------------------------------------------------- | | `fetch_html` | `curl -s URL` | Raw HTML needed for parsing | | `fetch_json` | `curl -s URL \| jq '.'` | API responses, structured data | | `fetch_markdown` | `WebFetch` | Readable page content (default output is markdown) | | `fetch_txt` | `curl -s URL` or `WebFetch` | Plain text extraction |

**Default choice:** Use `WebFetch` for general page content. Use `curl` when you need headers, authentication, POST bodies, or raw format control.

---

WebFetch (Built-in Tool)

The `WebFetch` tool fetches a URL and returns clean markdown content. It handles JavaScript-rendered pages, strips navigation and boilerplate, and returns readable text.

Best for: documentation pages, articles, blog posts, README files — any content where you want readable text rather than raw HTML.

Limitations: no custom headers, no POST bodies, no cookie management. Use `curl` for those.

---

curl Patterns

Fetch HTML

curl -sL "https://example.com/page"

| Flag | Purpose | | -------------- | ------------------------------------- | | `-s` | Silent mode — suppress progress meter | | `-L` | Follow redirects (3xx) | | `-o file.html` | Save to file instead of stdout | | `-I` | Headers only (HEAD request) | | `-i` | Include response headers in output |

Fetch and extract specific elements with `xmllint` or `python3`:

curl -sL "https://example.com" | python3 -c "
from html.parser import HTMLParser
import sys

class TitleParser(HTMLParser):
    def __init__(self):
        super().__init__()
        self.in_title = False
        self.title = ''
    def handle_starttag(self, tag, attrs):
        self.in_title = tag == 'title'
    def handle_data(self, data):
        if self.in_title:
            self.title += data
    def handle_endtag(self, tag):
        if tag == 'title':
            self.in_title = False

p = TitleParser()
p.feed(sys.stdin.read())
print(p.title)
"

Fetch JSON

curl -s "https://api.example.com/v1/data" \
  -H "Accept: application/json" | jq '.'

Filter and reshape JSON responses:

# Extract specific fields
curl -s "https://api.example.com/users" | jq '.[] | {name, email}'

# Filter by condition
curl -s "https://api.example.com/items" | jq '[.[] | select(.status == "active")]'

# Count results
curl -s "https://api.example.com/items" | jq 'length'

# Get nested value
curl -s "https://api.example.com/config" | jq '.database.host'

Fetch Plain Text

# Strip HTML tags for plain text
curl -sL "https://example.com/page" | python3 -c "
import html.parser, sys

class Stripper(html.parser.HTMLParser):
    def __init__(self):
        super().__init__()
        self.text = []
    def handle_data(self, d):
        self.text.append(d)
    def get_text(self):
        return ''.join(self.text)

s = Stripper()
s.feed(sys.stdin.read())
print(s.get_text())
"

Or use `WebFetch` which returns clean markdown — close enough to plain text for most purposes.

---

Authenticated Requests

Bearer Token

curl -s "https://api.example.com/data" \
  -H "Authorization: Bearer $API_TOKEN" \
  -H "Content-Type: application/json"

API Key in Header

curl -s "https://api.example.com/data" \
  -H "X-API-Key: $API_KEY"

API Key in Query Parameter

curl -s "https://api.example.com/data?api_key=$API_KEY"

Basic Auth

curl -s -u "username:$PASSWORD" "https://api.example.com/data"

Store credentials in environment variables. Never hardcode tokens or passwords in commands.

---

POST, PUT, PATCH, DELETE

POST with JSON Body

curl -s -X POST "https://api.example.com/items" \
  -H "Content-Type: application/json" \
  -H "Authorization: Bearer $API_TOKEN" \
  -d '{
    "name": "item-name",
    "value": 42
  }' | jq '.'

POST with Form Data

curl -s -X POST "https://api.example.com/upload" \
  -F "file=@./document.pdf" \
  -F "description=Uploaded via curl"

PUT (Full Update)

curl -s -X PUT "https://api.example.com/items/123" \
  -H "Content-Type: application/json" \
  -d '{"name": "updated-name", "value": 99}' | jq '.'

PATCH (Partial Update)

curl -s -X PATCH "https://api.example.com/items/123" \
  -H "Content-Type: application/json" \
  -d '{"value": 100}' | jq '.'

DELETE

curl -s -X DELETE "https://api.example.com/items/123" \
  -H "Authorization: Bearer $API_TOKEN"

---

Advanced Patterns

Pagination

PAGE=1
while true; do
  RESPONSE=$(curl -s "https://api.example.com/items?page=$PAGE&per_page=50" \
    -H "Authorization: Bearer $API_TOKEN")
  COUNT=$(echo "$RESPONSE" | jq 'length')
  echo "$RESPONSE" | jq '.[]'
  [ "$COUNT" -lt 50 ] && break
  PAGE=$((PAGE + 1))
done

Timeout and Retry

curl -s --connect-timeout 10 --max-time 30 \
  --retry 3 --retry-delay 2 \
  "https://api.example.com/data"

Response Headers Inspection

curl -sI "https://exam
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