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stripfeed

Fetch any URL as clean, AI-ready Markdown with token counts and caching. Strip ads, nav, scripts, and noise from web pages.

atlasopenclaw0 source installs☆ 0 Repository starsv1.0.0

Installation

Follow the repository instructions for this skill and your agent. Review the files and dependencies before adding it to your workflow.

SkillHub CLI

skillhub install atlasopenclaw/stripfeed

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Skill instructions

StripFeed

Convert any URL to clean Markdown optimized for LLM consumption. Strips ads, navigation, scripts, and noise. Returns token counts so you know exactly how much context you're using.

When to use this skill

Use StripFeed whenever you need to read a web page, article, documentation, or any URL content. It produces much cleaner output than raw HTML fetching and tells you the token cost.

Authentication

All requests require the STRIPFEED_API_KEY environment variable. Pass it as a Bearer token:

Authorization: Bearer $STRIPFEED_API_KEY

Get a free API key at https://www.stripfeed.dev (200 requests/month, no credit card).

Fetch a single URL

curl -s "https://www.stripfeed.dev/api/v1/fetch?url=URL_HERE" \
  -H "Authorization: Bearer $STRIPFEED_API_KEY"

This returns clean Markdown directly as the response body (Content-Type: text/markdown).

Parameters
Parameter Required Description
url Yes The URL to fetch (must be http or https)
format No Output format: markdown (default), json, text, html. Pro only except markdown.
selector No CSS selector to extract specific content (e.g. article, .content, #main). Pro only.
cache No Set to false to bypass cache and force a fresh fetch
ttl No Cache TTL in seconds (default: 3600, max: 86400 for Pro)
max_tokens No Truncate output to fit within this token budget
model No AI model ID for cost tracking (e.g. claude-sonnet-4-6, gpt-4o)
JSON f...

Source information

Source
github
Repository
openclaw/skills
Path
skills/atlasopenclaw/stripfeed
Version
1.0.0
Commit
ee8a85d749fc51775324c88136c4c38baed50d77
Classification source
rules
Status
active
Visibility
public

These signals come from indexed source analysis and may lag behind changes. Check the current source files.

Extracted content

SKILL.md
# StripFeed

Convert any URL to clean Markdown optimized for LLM consumption. Strips ads, navigation, scripts, and noise. Returns token counts so you know exactly how much context you're using.

## When to use this skill

Use StripFeed whenever you need to read a web page, article, documentation, or any URL content. It produces much cleaner output than raw HTML fetching and tells you the token cost.

## Authentication

All requests require the `STRIPFEED_API_KEY` environment variable. Pass it as a Bearer token:

```
Authorization: Bearer $STRIPFEED_API_KEY
```

Get a free API key at https://www.stripfeed.dev (200 requests/month, no credit card).

## Fetch a single URL

```bash
curl -s "https://www.stripfeed.dev/api/v1/fetch?url=URL_HERE" \
  -H "Authorization: Bearer $STRIPFEED_API_KEY"
```

This returns clean Markdown directly as the response body (Content-Type: text/markdown).

### Parameters

| Parameter    | Required | Description                                                                               |
| ------------ | -------- | ----------------------------------------------------------------------------------------- |
| `url`        | Yes      | The URL to fetch (must be http or https)                                                  |
| `format`     | No       | Output format: `markdown` (default), `json`, `text`, `html`. Pro only except markdown.    |
| `selector`   | No       | CSS selector to extract specific content (e.g. `article`, `.content`, `#main`). Pro only. |
| `cache`      | No       | Set to `false` to bypass cache and force a fresh fetch                                    |
| `ttl`        | No       | Cache TTL in seconds (default: 3600, max: 86400 for Pro)                                  |
| `max_tokens` | No       | Truncate output to fit within this token budget                                           |
| `model`      | No       | AI model ID for cost tracking (e.g. `claude-sonnet-4-6`, `gpt-4o`)                        |

### JSON f...

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