Pandascript logo

Pandascript

Organization
lightpanda-io
pandascript

Write PandaScript agent scripts (.js) — Lightpanda's replayable browser-automation format, run token-free with `lightpanda agent script.js`.

Overview

Publisherlightpanda-io
Repositoryagent-skill
Skill namepandascript
Stars
108
Forks
10
Bundled files
Instructions only
LicenseApache-2.0
Links
  • Markdown instructions

    A SKILL.md file the model loads on demand, so it only costs tokens when a request actually matches.

  • Works with any LLM

    AI skills are plain Markdown, not provider-specific code, so this works with GPT, Claude, Gemini, Grok, or a local model.

  • Self-contained

    Everything the model needs lives in the instructions — no extra files to sync.

  • Open source

    Published by lightpanda-io on GitHub. Read the source before you install it.

Installation

Install the Pandascript AI skill in TypingMind to use it with any LLM, or drop it into another agent that reads SKILL.md.

1

Install in TypingMind

TypingMind installs a skill straight from its GitHub folder — it reads SKILL.md, bundles the resource files, and stores the result locally.

  1. Open the app and go to Plugins → Skills.
  2. Choose "Install from GitHub".
  3. Paste the skill folder URL below and confirm.
    https://github.com/lightpanda-io/agent-skill/tree/main/pandascript
  4. Enable the skill in any chat where you want it available.
Plugins → Skills → Add skill → From GitHub URL, then paste the folder URL and press Continue.
2

Install in another agent

Any agent that reads the Agent Skills format can use this skill — copy the folder into that agent's skills directory.

Claude Code — .claude/skills
git clone --depth 1 https://github.com/lightpanda-io/agent-skill.git /tmp/agent-skill
mkdir -p .claude/skills
cp -r /tmp/agent-skill/pandascript .claude/skills/pandascript
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Pandascript in any TypingMind chat and the model takes it from there. Its name and description sit in the system prompt, and the moment a request matches, the model loads the full instructions itself — you never invoke it by hand, and it costs no tokens until it is actually used.

The model loads Pandascript on its own as soon as a request matches it.

Works with any AI model

AI skills are plain Markdown instructions rather than provider-specific code, so Pandascript is not tied to the model it was written for. Install it once in TypingMind and use it with GPT-5, Claude, Gemini, Grok, DeepSeek, Mistral, Llama, or a local model you run yourself — all on your own API keys.

  • Loaded only when it is needed

    The system prompt carries just the name and description. The instructions are fetched on the first matching request, so an idle skill costs nothing.

  • Switch models mid-chat

    Because the skill is instructions rather than code, changing model does not break it — the next model reads the same SKILL.md.

Skill instructions

This is the SKILL.md content the model loads. Read it before installing — a skill is instructions your model will follow.

Writing Lightpanda agent scripts

Run with:

console
./lightpanda agent script.js

Mental model (get this right first)

The script runs in its own V8 context — neither the page nor Node.js:

  • Page is the only global. new Page() makes a page and await page.goto(url) navigates it; every other primitive is a method on that page: const page = new Page(); await page.goto(url); page.extract({...}); page.click(sel);.
  • No window, document, DOM, localStorage — read pages with page.extract(...), run page-side JS only via page.evaluate("...").
  • No require, process, fs, npm. Standard ECMAScript built-ins only (JSON, Map, template literals, …).
  • page.goto(...) is async — always await it. Page methods are synchronous: const data = page.extract({...}), never await page.extract(...). The script body runs as an async function, so top-level await is allowed.
  • Re-navigating reuses the same page: await page.goto(url2) keeps page valid and points it at the new URL, discarding the old page — read it before navigating away. Independent URLs don't share a page: make a new Page() for each and load them in parallel (fan-out, best practice 2).
  • Page evaluate("...") cannot see script variables — interpolate values into the string. Script code cannot see page variables.
  • Variables persist across navigations within one run, so cross-page aggregation is plain JS.
  • return <value> is the script's output, printed automatically (objects/arrays as JSON). End with return page.extract({...}); or return results;. A bare trailing expression is NOT printed; neither is console.log(JSON.stringify(...)).

Primitives

Page is the only global; new Page() makes a page and everything else is a method on it.

CallNotes
new Page()Makes a page object. No navigation yet — call page.goto(url) before any other method. Make several to navigate in parallel (fan-out, best practice 2).
page.close()Marks the page done; later method calls on it error. The page is otherwise reclaimed at script end.
await page.goto(url[, { timeout }])Async — must be awaited. Navigates the page (re-navigating reuses the same object). Waits for load. Rejects on navigation failure; a timeout does NOT reject (the page may still be usable). Default timeout 10000 ms.
page.evaluate(script[, { url, timeout, save }])Page-side JS escape hatch; returns text (JSON for objects/arrays).
page.extract(schema)The only primitive returning a real JS value (object/array). The schema is its only argument. See schema below.
page.click(selector)
page.fill(selector, value)
page.scroll([{ x, y }])
page.waitForSelector(selector[, { timeout }])waitFor* default timeout 5000 ms.
page.waitForScript(script[, { timeout }])Re-evaluates page JS until truthy.
page.waitForState(state[, { timeout }])state: one of "load", "domcontentloaded", "networkalmostidle", "networkidle", "done".
page.hover(selector)
page.press(selector, key)Selector first! page.press("Enter") binds "Enter" to selector and fails — use page.press(null, "Enter") or page.press({ key: "Enter" }).
page.selectOption(selector, value)
page.setChecked(selector[, checked])checked defaults to true.

Options (the trailing { … } object; every option may be omitted):

  • goto: timeout — Optional timeout in milliseconds. Defaults to 10000.
  • evaluate: url — Optional URL to navigate to before evaluating. timeout — Optional timeout in milliseconds. Defaults to 10000. save — Optional bridge-store key. The evaluate's return value is stored under this name and re-exposed as lp.<name> to subsequent evaluates. Objects, arrays, and strings are serialized automatically — no JSON.stringify needed.
  • scroll: x — Optional: The horizontal scroll offset. y — Optional: The vertical scroll offset.
  • waitForSelector: timeout — Optional timeout in milliseconds. Defaults to 5000.
  • waitForScript: timeout — Optional timeout in milliseconds. Defaults to 5000.
  • waitForState: timeout — Optional timeout in milliseconds. Defaults to 5000.

Calling convention: leading positionals + optional trailing options object, or one object with everything (page.waitForSelector("#row", { timeout: 2000 }) ≡ page.waitForSelector({ selector: "#row", timeout: 2000 })). A bare option positional (page.waitForSelector("#row", 2000)) and a field passed both ways are invalid arguments. null skips a positional. Arguments must be JSON-serializable.

CSS selectors only — backendNodeIds don't exist here. Standard CSS only: no jQuery :contains() or Playwright :has-text().

extract schema

Keys = output field names; values pick what to lift (not a JSON Schema):

js
const { stories } = page.extract({
  stories: [{
    selector: "tr.athing",          // one record per match
    limit: 5,
    fields: {                        // resolved relative to each match
      title: ".titleline > a",      // first match's text (null if missing)
      url: { selector: ".titleline > a", attr: "href" },
      text: ""                       // "" = the matched element's own text
    }
  }]
});
  • "sel" → first match's text; ["sel"] → all matches' text; { selector, attr } / [{ selector, attr }] → attribute(s); limit: N caps any array form.
  • Every value is a string or null — parse numbers in script logic.
  • Empty arrays are valid results; if every field misses, extract throws ("no schema selector matched any element") → your selectors are wrong, not the page empty.
  • An object schema always returns an object (destructure it); a bare array schema returns the array directly.
  • No save: option in scripts — keep results in variables.

Best practices

  1. Navigate, settle, read. After await page.goto on a dynamic page (feeds, search results, comment threads), call page.waitForState("networkidle") or page.waitForSelector(...) before extracting. Most static pages are complete at load — don't wait blindly.
  2. List-to-detail — fan out independent pages. Extract the list, then open one page per item and start every navigation together so the detail pages load in parallel instead of one-after-another:
    js
    const list = new Page();
    await list.goto(listUrl);
    const { items } = list.extract({ items: [{ selector: "a.row", fields: { url: { attr: "href" } } }] });
    
    const pages = items.map(() => new Page());
    await Promise.all(pages.map((p, i) => p.goto(items[i].url)));   // all in flight at once
    return pages.map((p, i) => ({ ...items[i], ...p.extract({ /* schema */ }) }));
    • Concurrency is bounded by the HTTP connection pool: 40 total (--http-max-concurrent) and 6 per host (--http-max-host-open, the browser default — raising it much higher risks overwhelming the target server). Extra navigations queue rather than fail, so a same-site fan-out loads ~6 pages at a time. For long lists, fan out in batches and page.close() each page once read so its memory is reclaimed.
    • Promise.all rejects the whole batch if any goto fails (a timeout does not reject); use Promise.allSettled when partial results are fine.
    • Walk serially on one page (for (const it of items) { await page.goto(it.url); … }) only when the steps depend on each other — each page decides the next URL, or they share login/session state.
  3. evaluate is a last resort, not a reading tool. A querySelectorAll-and-parse page.evaluate block is always wrong: lift the raw strings with page.extract, then trim/split/parse them in top-level JS. Reserve page.evaluate for behavior that must run inside the page and no builtin covers — and remember its state dies on every navigation/reload, while script variables persist.
  4. Credentials via $LP_* placeholders in any string argument (page.fill("#pw", "$LP_HN_PASSWORD")). Never inline a real secret; placeholders resolve inside the Lightpanda process.
  5. Unique selectors. Disambiguate with attributes/position: input[type="submit"][value="login"], not input[type="submit"].
  6. Let failures fail. Primitives throw on error and stop the script — only try/catch where you have a real fallback (e.g. optional cookie banner: try { page.click("#accept") } catch {}).
  7. End with return <result>. console.log is for debug output only and doesn't JSON-format objects.
  8. Modern, readable JS: const/let, for (const x of xs), template literals, destructuring, 2-space indent.
  9. Comment the intent of each block. Put a one-line // comment above each logical step describing what it accomplishes toward the goal (not restating the call). One comment per block, not per line — skip self-evident lines:
    js
    // Load the Hacker News front page
    const page = new Page();
    await page.goto("https://news.ycombinator.com");
    
    // Pull the top 5 stories (title + link)
    const { stories } = page.extract({ stories: [{ selector: "tr.athing", limit: 5, fields: { title: ".titleline > a", url: { selector: ".titleline > a", attr: "href" } } }] });
    
    // Open each story page in parallel and read its text
    const pages = stories.map(() => new Page());
    await Promise.all(pages.map((p, i) => p.goto(stories[i].url)));

Common errors

ErrorCause / fix
extract is not defined (or click/fill/…)These are methods on the page object, not globals → const page = new Page(); await page.goto(url); page.extract(...)
Page must be called with newPage(...) called without new → const page = new Page();
page is not navigated or has been closedA method on a fresh new Page() (or a closed page) → await page.goto(url) first
page handle is no longer validUsed a page after a later goto on the same page replaced it → read it before navigating away. Sibling pages from other new Page() calls stay valid.
document is not definedDOM API in script context → use page.extract or page.evaluate
require is not definedNot Node.js
no page loaded - run page.goto(url) firstPage method before navigation
invalid argumentsWrong arity/shape, non-JSON value, or a field set both positionally and in options
extract: no schema selector matched any elementAll schema fields missed → fix selectors
press fails with one string argSelector-first: use page.press(null, "Enter") or page.press({ key: "Enter" })

Frequently asked questions

What does the Pandascript AI skill do?

Write PandaScript agent scripts (.js) — Lightpanda's replayable browser-automation format, run token-free with `lightpanda agent script.js`.

Why use Pandascript on TypingMind?

Because you install it once and use it with any model. Pandascript is plain Markdown rather than provider-specific code, so the same skill runs on GPT-5, Claude, Gemini, Grok, or a local model — and you can switch model mid-chat without it breaking. TypingMind runs on your own API keys, so you pay providers directly instead of a per-seat subscription, and your skills and chats stay in your own storage.

How do I install Pandascript in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/lightpanda-io/agent-skill/tree/main/pandascript. TypingMind reads its SKILL.md and installs it as a skill you can enable per chat.

Which AI models can use Pandascript?

Any model you connect in TypingMind. AI skills are plain Markdown instructions rather than provider-specific code, so GPT, Claude, Gemini, Grok, and local models can all load this skill when a request matches it.

How many AI models can I use with Pandascript?

As many as you like. As long as a model supports skills, you can use Pandascript with it — GPT, Claude, Gemini, Grok, DeepSeek, Mistral, Llama and more — all on TypingMind with your own API keys.

Is the Pandascript AI skill free?

Yes. It is published on GitHub by lightpanda-io under the Apache-2.0 license. You only pay your own AI provider for the tokens you use.

What are AI skills?

An AI skill is a reusable instruction bundle that teaches an AI model how to do one specific task. It follows the open Agent Skills format: a SKILL.md file with a name and description, plus any scripts, templates or reference files the model may need. The model reads the instructions only when your request matches the skill, so an installed skill costs nothing until it is used.

How are AI skills different from plugins or MCP servers?

A plugin or MCP server gives a model new tools to call — code that runs somewhere and returns a result. An AI skill gives the model knowledge and process instead: how to approach a task, which steps to follow, what good output looks like. Skills are plain Markdown, so they need no server, no API key and no runtime, and they work with any model.

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