LiteBrowse Skill

# LiteBrowse Skill

Direct access:

Purpose

`LiteBrowse` is an OpenClaw skill for low-token webpage research.

Use it when:

Core Rule

Do not load or summarize the full page first.

Always run the local extractor before reasoning on webpage content:

python3 ./scripts/web_relevance_extract.py "<url-or-html-file>" "<query>"

The extractor returns only the most relevant blocks under a fixed character budget.

Use that compact output as the default context for answering.

Required Workflow

1. Restate the information target as a short query string.

2. Run:

```bash

python3 ./scripts/web_relevance_extract.py "<source>" "<query>" --top-k 5 --max-chars 2400 --format json

```

3. Read only the returned blocks.

4. Answer from those blocks if they are sufficient.

5. Only if recall is clearly insufficient, rerun with one controlled expansion:

- increase `--top-k`

- or increase `--max-chars`

- or narrow / refine the query

6. Do not jump to raw-page scraping unless the extractor failed.

Budget Discipline

Output Discipline

When answering:

Examples

Find pricing details from a long page:

python3 ./scripts/web_relevance_extract.py "https://example.com/pricing" "pricing tiers api limits enterprise" --max-chars 1600 --top-k 4 --format text

Find job requirements from a careers page:

python3 ./scripts/web_relevance_extract.py "https://example.com/jobs/ml-engineer" "requirements python llm retrieval location" --max-chars 1800 --top-k 5 --format json

Use a saved HTML file:

python3 ./scripts/web_relevance_extract.py "/tmp/page.html" "refund policy cancellation deadline" --max-chars 1200

Failure Handling

If the page cannot be fetched or parsed: