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)
2. Use OpenClaw web_fetch to retrieve the page.

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

4. Policy layer (these skills)

5. Parse Content-Signal and compute policy_action.

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

7. Privacy layer (these skills)

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

9. Keep URL shape useful for debugging without leaking sensitive values.

10. Normalization layer (these skills)

11. If contentType=text/markdown, keep content as-is.
12. If contentType=text/html, convert with turndown as fallback enhancement.
13. 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"