Markdown Browser

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name: markdown-browser description: "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."

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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

1. Fetch layer (official, exclusive)

Use OpenClaw web_fetch to retrieve the page.

Do not call direct HTTP fetch inside this skill for normal operation.

2. Policy layer (these skills)

Parse Content-Signal and compute policy_action.

Current action focuses on ai-input semantics: allow_input, block_input, needs_review.

3. Privacy layer (these skills)

Redact path/fragment/query values in output URL fields.

Keep URL shape useful for debugging without leaking sensitive values.

4. 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

1. Call official web_fetch. 2. Pass the result JSON into this wrapper. 3. Optionally pass Content-Signal and x-markdown-tokens header values if available. 4. 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"