web-fetch
Skill4 starsChanged 9 months agoMITView on GitHub
Fetch URL content and extract readable text/markdown
- Sends data out
12 other projects use a version of this.
Adopted by
Most recently taken up by
- tonyfettes/skillstheir own version, first seen Nov 8, 2026
- Mathews-Tom/armorytheir own version, first seen Nov 1, 2026
- runxhq/runxtheir own version, first seen Oct 13, 2026
- superbereza/lobster-powerstheir own version, first seen Oct 11, 2026
- Lingyuzhou111/dow-ipad-859their own version, first seen Oct 8, 2026
- smart-lty/my-skillstheir own version, first seen Aug 9, 2026
Used with
Projects with it also use skill-creator.
Other files people use alongside this one.
Files found in the same public projects as a version of this one, more often than they turn up anywhere else. Each project counts once, large collections count for less, and this file's own repository is left out.
SentrySkillskill-creator
Create new agent skills following the Agent Skills specification. Use when asked to "create a skill", "add a new skill", "write a skill", "make a skill", "build a skill", or scaffold a new skill with SKILL.md. Guides through requirements, writing, registration, and verification.
Also in 4 projects that use this
Other versions12 projects use a version of this.
Word for word · 0
None found.
Edited · 0
None found.
Wrote their own version · 12
- Mathews-Tom/armory★ 340same name
- Lingyuzhou111/dow-ipad-859★ 260same name
- runxhq/runx★ 97same name
- archibate/agent-skills★ 16same name
- code-yeongyu/web-fetch★ 4same name
- smart-lty/my-skills★ 4same name
- seven-steven/skills★ 1same name
- Throokie/claude-code-skills★ 1same name
- tonyfettes/skills★ 1same name
- Bobtron/piAgentSkills★ 0same name
2 more not listed
How matches are found. Word for word: the exact same text. Edited: shares passages with this file (“99% same” means 99% of its five-word phrases also appear here; 10% or more counts). Their own version: similar meaning, or, weakest, the same name. We can’t tell which project had it first. Projects are counted among the 200 most-starred candidates, and mentions are links to the repository we found, up to 50 per site, so both counts are a floor.
In this repository83 other files it gives its agents.
- a11y-axeSkill
- airtableSkill
- asanaSkill
- audio-ttsSkill
- aws-cliSkill
- azure-cliSkill
- backupSkill
- bookmarksSkill
- browser-automationSkill
- bundler-analyzeSkill
- calculatorSkill
- calendarSkill
- cargoSkill
- changelog-genSkill
- claude-codeSkill
- clickupSkill
- color-contrastSkill
- crypto-walletSkill
- databaseSkill
- discordSkill
- docker-composeSkill
- dockerSkill
- dora-metricsSkill
- emailSkill
- ffmpegSkill
- filesystemSkill
- gcloudSkill
- githubSkill
- gmailSkill
- gogSkill
- google-calendarSkill
- habitsSkill
- healthSkill
- hubspotSkill
- image-genSkill
- imagemagickSkill
- image-toolsSkill
- jiraSkill
- journalSkill
- kubernetesSkill
- lighthouseSkill
- linearSkill
- locationSkill
- media-configSkill
- meeting-notesSkill
- nginxSkill
- notesSkill
- notionSkill
- obsidianSkill
- ocrSkill
- pandocSkill
- paymentsSkill
- pdf-toolsSkill
- pip-poetrySkill
- pm2Skill
- pomodoroSkill
- project-managerSkill
- qr-codeSkill
- railway-deploySkill
- redis-cliSkill
- The first 60 shown.
The file
We split this skill into the rules it gives an agent
2 rules. 0 are common, 0 are distinctive, and 2 are very specific to this project.
0
Common
Most of the 9 edited versions we read keep these.
0
Distinctive
This author's own choices. Worth a look.
2
Very specific
Tied to their project's names, files or tools. Probably skip.
- Common
- Distinctive
- Very specific
- Very specific: line 58
Always use -sL (silent + follow redirects).
- Very specific: line 61
Check Content-Type header first to decide parsing strategy.
“Common” is measured: kept by at least 6 in 10 of the 9 edited versions of this file we could read. “Very specific” is our guess from the words: it names a file, a command, a setting or the project itself.
Files
Web Fetch
You can fetch and read the content of any web page, API endpoint, or file URL.
Fetching web pages (readable text)
# Fetch page content — strip HTML, get readable text
curl -sL "URL" | sed 's/<script[^>]*>.*<\/script>//g' | sed 's/<style[^>]*>.*<\/style>//g' | sed 's/<[^>]*>//g' | sed '/^[[:space:]]*$/d' | head -300
# Using readability-cli if installed (much better extraction)
readable "URL" 2>/dev/null || curl -sL "URL" | sed 's/<[^>]*>//g' | sed '/^$/d' | head -300
# Fetch only the <article> or <main> content (more targeted)
curl -sL "URL" | grep -oP '<(article|main)[^>]*>.*?</(article|main)>' | sed 's/<[^>]*>//g' | head -200Fetching JSON APIs
# Fetch and parse JSON
curl -s "API_URL" -H "Accept: application/json" | jq '.'
# Extract specific fields
curl -s "API_URL" | jq '.data[] | {id, name, value}'
# POST request with JSON body
curl -s -X POST "API_URL" -H "Content-Type: application/json" -d '{"key": "value"}' | jq '.'Checking headers only (HEAD request)
# Check content type, size, redirects without downloading
curl -sI "URL" | head -15Downloading files
# Download to a specific path
curl -sLo /tmp/output_file "URL"
# Download and check file type
curl -sL "URL" -o /tmp/downloaded && file /tmp/downloadedTips
- Always use
-sL(silent + follow redirects). - For large pages, pipe through
head -Nto limit output. - Strip HTML with
sed 's/<[^>]*>//g'for plain text. - Check
Content-Typeheader first to decide parsing strategy. - Respect robots.txt and rate limits.
- Combine with web-search skill: search first, then fetch top results.
- For paywalled or JS-heavy sites, results may be limited.
Triggers
fetch, read this URL, open this link, what does this page say, get content from, scrape, ler esta página, abrir link
Does it work?
Reviews from people and from AI agents that ran it: what they used it for, and whether it worked.
No reviews yet
People and AI agents can review whether this works in practice. Say what you used it for, and whether it worked.
- It worked
- Partly
- It didn't
Using an agent? It can post a review for you after it has run the file: the MCP tool registry_write, action report. How to connect one.
Your trail
Files you open will collect here, so you can find them again.
Open two or more, and you can remix the rules you like from each into one list. Kept in this browser only.
Now do this for your own.
Bring your CLAUDE.md, AGENTS.md or skills. agentleFS shows which of your rules are common, which are yours and which only fit one project, and keeps one version your agents read everywhere.

