Agent skill · Data & Analytics

browser-extract

Extract structured data via stored browser-templates or one-shot DOM queries, with mandatory AIDefence PII + prompt-injection gates before content reaches the model

rUv71,307★ · +1,002/wk · 3 repos on radarProfile →
claude-codecodexread-onlyMIT
Install
npx skills add ruvnet/ruflo --skill browser-extract --agent claude-code

Same command for any agent — swap --agent for codex, cursor, copilot.

Facts
Files in the skill folder: 1
SKILL.md size: 3 KB
Bundled scripts: none
Allowed tools: mcp__plugin_ruflo-core_ruflo__browser_openmcp__plugin_ruflo-core_ruflo__browser_closemcp__plugin_ruflo-core_ruflo__browser_get-textmcp__plugin_ruflo-core_ruflo__browser_get-valuemcp__plugin_ruflo-core_ruflo__browser_evalmcp__plugin_ruflo-core_ruflo__browser_snapshotmcp__plugin_ruflo-core_ruflo__browser_screenshotmcp__plugin_ruflo-core_ruflo__browser_scrollmcp__plugin_ruflo-core_ruflo__browser_waitmcp__plugin_ruflo-core_ruflo__browser_clickmcp__plugin_ruflo-core_ruflo__aidefence_has_piimcp__plugin_ruflo-core_ruflo__aidefence_is_safe
Path: plugins/ruflo-browser/skills/browser-extract/SKILL.md
Open the folder on GitHub →
Where it comes from
Source: ruvnet/ruflo
Stars: 67,015 · +629 this week
Language: TypeScript
Read our review of the source →

Weekly change comes from our own snapshots, not the repository page — it measures attention, not adoption.

From the SKILL.md

# Browser Extract Pull structured data out of a web page. Replaces the older `browser-scrape` skill with three new guarantees: 1. The session is a recorded RVF container (composes `browser-record`). 2. Successful extractions persist as `browser-templates` for reuse. 3. **Every string** passes AIDefence before AgentDB store and before flowing back to the model. ## When to use - Extracting text, table data, or attribute values from rendered web pages. - Building a reusable template for a recurring scrape pattern. - Re-running a known template against a new URL on the same host. ## Steps 1. **Open a recorded session** via `browser-record` (do not call `browser_open` directly). 2. **Wait for content** with `browser_wait` for dynamic rendering. 3. **Choose a path**: - **Template path** (`--template <name>`): retrieve from AgentDB and apply. ```bash npx -y @claude-flow/cli@latest memory retrieve --namespace browser-templates --key "<name>" ``` Run the recipe's selector chain in order; produces structured JSON. - **One-shot path**: prefer `browser_snapshot` for accessibility trees over raw HTML; fall back to `browser_eval` with `document.querySelectorAll` for bulk lookups. 4. **AIDefence

What's inside
Steps it walks through
  1. When to use
  2. Steps
  3. Caveats
Commands it runs
npx -y @claude-flow/cli@latest memory retrieve --namespace browser-templates --key "<name>"
for s in $extracted; do
if [[ "$PII" == "true" ]]; then redact_to_placeholder "$s"; fi
done
npx -y @claude-flow/cli@latest memory store --namespace browser-templates \
More from ruflo
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About this skill
What does the browser-extract skill do?

Extract structured data via stored browser-templates or one-shot DOM queries, with mandatory AIDefence PII + prompt-injection gates before content reaches the model

How do I install it?

Run `npx skills add ruvnet/ruflo --skill browser-extract --agent claude-code` — it drops the skill into your project so the agent can pick it up. Swap the --agent value for codex, cursor or copilot if you use one of those.

Where does this skill come from?

From ruvnet/ruflo, a repository with 67,015 stars. We read it straight from the repository tree rather than a submitted listing, so what you see here is what is actually published.

Is a popular skill a good skill?

Not necessarily. Stars measure attention, not adoption — a repository can trend for a week and be abandoned. That is why we show the weekly change from our own snapshots next to the total, instead of a single flattering number.

Keep going