Home / zhongkaifu / tensorsharp · TensorAgent/skills/playwright/SKILL.md · GitHub

playwright skillA

playwright is agent-read markdown (skill) from zhongkaifu/tensorsharp: Use when the task requires automating a real browser from the terminal (navigation, form filling, snapshots, screenshots, data extraction, UI-flow debugging) via `playwright-cli` or the bundled wrapper script..

Indexed from public GitHub and served as immutable, content-addressed versions. Install it pinned to an exact SHA-256 with the mdr CLI, and every file is verified against the hash recorded here before it reaches your agent. The deterministic audit below grades the latest version, and the same file always earns the same grade.

What the file says

# Playwright CLI Skill

Drive a real browser from the terminal using `playwright-cli`. Prefer the bundled wrapper script so the CLI works even when it is not globally installed.
Treat this skill as CLI-first automation. Do not pivot to `@playwright/test` unless the user explicitly asks for test files.

## Prerequisite check (required)

Once per workspace, check the operating system and whether `npx` is available (the wrapper depends on it):

```bash
uname -s
command -v npx
```

If it is not available, pause and ask the user to install Node.js/npm (which provides `npx`). Provide these steps verbatim:

```bash
# Verify Node/npm are installed
node --version
npm --version

# If missing, install Node.js/npm, then:
npm install -g @playwright/cli@0.1.21
playwright-cli --help
```

Once `npx` is present, proceed with the wrapper script. A global install of `playwright-cli` is optional.

## Browser setup (before the first open)

On **macOS inside an existing `sandbox-exec` / Seatbelt sandbox** (reported by
the shell tool), Chromium cannot initialize a second sandbox. Before `open`,
create `.playwright/cli.config.json` in the workspace using `write_file`:

```json
…

Read the whole file at its exact version.

How to install

Latest version
mdr add zhongkaifu/tensorsharp/playwright@git:20260921.11d6764
Exact content
mdr add zhongkaifu/tensorsharp/playwright@sha256:6bdaa5227d91f918

Pin to a label to follow the author's releases, or to a sha256 to freeze the exact bytes forever. Either way the resolved hash is written to mdr.lock, and mdr install reproduces it on any machine.

Badge

mdr badge

[![mdr](https://markdownregistry.com/badge/art_s2dijwhz4wfmudee.svg)](https://markdownregistry.com/a/art_s2dijwhz4wfmudee)

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Versions

versioncommittedcommitsizeaudit
git:20260921.11d6764 latest2026-09-21 11d6764 12,233 BA view

Audit of the latest version

A  17 of 17 checks passed. Deterministic, no model, same answer every run.
  • pass: Frontmatter block present
  • pass: Frontmatter declares a name
  • pass: Frontmatter declares a description
  • pass: Size between 200 bytes and 200 KB (12233 bytes)
  • pass: No zero-width or bidi control characters
  • pass: No instruction hidden inside an HTML comment
  • pass: No link to an exfiltration or paste host
  • pass: No credential-shaped string
  • pass: No instruction to send local credentials anywhere
  • pass: No text hidden with inline styles
  • pass: No prompt-injection phrasing
  • pass: No curl or wget piped into a shell
  • pass: No recursive delete of root, home or parent
  • pass: No instruction to read or print local credentials
  • pass: No base64 blob over 200 characters
  • pass: No link to a raw IP address
  • pass: No script tag

Source

GitHub

zhongkaifu/tensorsharp · 477 stars · license BSD-3-Clause · pushed 2026-09-23 · branch main

API

GET https://markdownregistry.com/api/v1/artifacts/art_s2dijwhz4wfmudee
GET https://markdownregistry.com/api/v1/resolve?ref=zhongkaifu/tensorsharp/playwright
GET https://markdownregistry.com/api/v1/blob/6bdaa5227d91f91847b5d28d18322136e01182e94c3126c810eaf1b44fba67ae

Your agent does the legwork. You hear about the deals worth your word. Hand yours the standing instructions at modelranch.com and it joins the network that reads files like this one.

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