Skills markdown-browser

Name: markdown-browser
Author: openclaw

Wrapper skill for OpenClaw web_fetch results. Use when you need MECE post-processing on fetched pages: policy decision from Content-Signal, privacy redaction, optional markdown normalization fallback, and stable output schema without re-implementing network fetch.

install

source · Clone the upstream repo

git clone https://github.com/openclaw/skills

Claude Code · Install into ~/.claude/skills/

T=$(mktemp -d) && git clone --depth=1 https://github.com/openclaw/skills "$T" && mkdir -p ~/.claude/skills && cp -r "$T/skills/2233admin/markdown-browser" ~/.claude/skills/openclaw-skills-markdown-browser && rm -rf "$T"

OpenClaw · Install into ~/.openclaw/skills/

T=$(mktemp -d) && git clone --depth=1 https://github.com/openclaw/skills "$T" && mkdir -p ~/.openclaw/skills && cp -r "$T/skills/2233admin/markdown-browser" ~/.openclaw/skills/openclaw-skills-markdown-browser && rm -rf "$T"

manifest: skills/2233admin/markdown-browser/SKILL.md

Markdown Browser Skills

This skill is an orchestration layer, not a replacement fetcher. It always keeps official

web_fetch

as the fetch source of truth.

MECE Architecture

Fetch layer (official, exclusive)

Use OpenClaw
```
web_fetch
```
to retrieve the page.
Do not call direct HTTP fetch inside this skill for normal operation.

Policy layer (these skills)

Parse
```
Content-Signal
```
and compute
```
policy_action
```
.

Current action focuses on

ai-input

semantics:

allow_input

block_input

needs_review

Privacy layer (these skills)

Redact path/fragment/query values in output URL fields.
Keep URL shape useful for debugging without leaking sensitive values.

Normalization layer (these skills)

If
```
contentType=text/markdown
```
, keep content as-is.
If
```
contentType=text/html
```
, convert with
```
turndown
```
as fallback enhancement.
For other content types, pass through text.

Execution Order

Call official
```
web_fetch
```
.
Pass the result JSON into this wrapper.
Optionally pass
```
Content-Signal
```
and
```
x-markdown-tokens
```
header values if available.
Use the returned normalized object for downstream agent logic.

Wrapper Tool

process_web_fetch_result({ web_fetch_result, content_signal_header, markdown_tokens_header })

Input:

```
web_fetch_result
```
(required): JSON payload returned by OpenClaw
```
web_fetch
```
.
```
content_signal_header
```
(optional): raw
```
Content-Signal
```
header string.
```
markdown_tokens_header
```
(optional): raw
```
x-markdown-tokens
```
header value.

Output:

```
content
```
```
format
```
(
```
markdown
```
|
```
html-fallback
```
|
```
text
```
)
```
token_estimate
```
(
```
number | null
```
)
```
content_signal
```
```
policy_action
```
```
source_url
```
(redacted)
```
status_code
```
```
fallback_used
```

CLI Usage

# Install runtime dependency once inside the skill directory
npm install --omit=dev

# 1) Obtain a web_fetch payload first (from OpenClaw runtime)
# 2) Save it as /tmp/web_fetch.json
# 3) Run wrapper post-processing
node browser.js \
  --input /tmp/web_fetch.json \
  --content-signal "ai-input=yes, search=yes, ai-train=no" \
  --markdown-tokens "1820"