Ralph Orchestrator is a framework that repeatedly runs AI-agent tasks until they finish or reach an iteration limit. Developers use it to coordinate autonomous coding work through command-line, web-dashboard, and MCP-server interfaces, with state managed per workspace. The catalogue entries provide agent skills, agents, instructions, and plugins for operating Ralph.
Borrowing it
Nothing to install: this file belongs to mikeyobrien/ralph-orchestrator. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.
curl -O https://raw.githubusercontent.com/mikeyobrien/ralph-orchestrator/main/.claude/skills/playwriter/SKILL.mdgit clone --depth 1 https://github.com/mikeyobrien/ralph-orchestratorWrote this? Show the measurements
A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.
[](https://agentmods.dev/skills/mikeyobrien/ralph-orchestrator/playwriter)<a href="https://agentmods.dev/skills/mikeyobrien/ralph-orchestrator/playwriter"><img src="https://agentmods.dev/badge/skills/mikeyobrien/ralph-orchestrator/playwriter/github.svg" alt="Measured on agentmods" height="20"></a>Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.
<a href="https://agentmods.dev/skills/mikeyobrien/ralph-orchestrator/playwriter"><img src="https://agentmods.dev/badge/skills/mikeyobrien/ralph-orchestrator/playwriter.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector pass
What it costs to keep this loaded
Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5.1 | $0.00025 | $0.00706 |
| Opus 5 | $0.00013 | $0.00353 |
| Sonnet 5 | $0.00005 | $0.00141 |
| Haiku 4.5 | $0.00003 | $0.00071 |
Grade A, and why
playwriter scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 11d ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Nothing flagged
None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.
How it starts
The opening of the file, as written. The whole thing — 93 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Playwriter
Overview
Use Playwriter to run Playwright Page scripts against your local Chrome session. This preserves logins, cookies, and extensions, which is ideal for web dashboard testing and authenticated flows.
When to Use
- Validating the Ralph web dashboard UI
- Navigating authenticated pages without re-logging in
- Testing flows that require browser extensions or saved state
- Capturing accessibility snapshots for element discovery
Prerequisites
- Install the CLI:
npm i -g playwriter - Install the Playwriter Chrome extension (see the Playwriter repo instructions)
- Ensure Chrome is running and the extension is enabled
Core Workflow
- Create a session:
playwriter session new - List sessions and copy the session id:
playwriter session list - Execute Playwright code against that session:
playwriter -s <session_id> -e "await page.goto('https://example.com')"
Execution Environment
Within -e, these are available in scope:
page(Playwright Page)context(BrowserContext)state(persistent object across calls in the same session)require(for loading helper modules)
Example state persistence:
playwriter -s <session_id> -e "state.lastUrl = page.url()"
playwriter -s <session_id> -e "console.log(state.lastUrl)"
Common Patterns
Navigate + click
playwriter -s <session_id> -e "await page.goto('http://localhost:3000'); await page.getByRole('button', { name: 'Run' }).click();"
Fill forms
playwriter -s <session_id> -e "await page.getByLabel('Email').fill('[email protected]'); await page.getByLabel('Password').fill('secret'); await page.getByRole('button', { name: 'Sign in' }).click();"
Accessibility snapshots (labeled)
playwriter -s <session_id> -e "const { screenshotWithAccessibilityLabels } = require('playwriter'); await screenshotWithAccessibilityLabels(page, { path: '/tmp/a11y.png' });"
What this file has done since we first saw it
Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.
- 11d ago First seen · 93 lines · 25 tokens per session scan A 77e825802b78
playwriter is a skill published in the GitHub repository mikeyobrien/ralph-orchestrator (3,132 stars, last pushed today), licensed MIT. It adds 25 tokens to every session and 706 once invoked, about $0.0001 per session on Opus 5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.
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opencli-sitemap-author
Use when creating or maintaining OpenCLI site sitemaps: agent-facing navigation, page-state, action, workflow, API-reference, pitfall, and fallback knowledge for a website. Use after browser exploration discovers durable site context, when a sitemap is stale, or when promoting local site knowledge into the repo.