browser-walkthrough

browser-walkthrough is a skill for Claude Code, Codex from DasDigitaleMomentum/opencode-processing-skills. It costs 42 tokens per session (885 once invoked), scanned A, original, MIT.

A method for testing and observing a browser-based user journey with Playwright, a tool that controls web browsers for automated checks or guided walkthroughs.

In plain words
What is it for?
Use it to exercise browser journeys, inspect existing flows, record observable results, and return a concise evidence-based report.
Why use it?
It provides evidence about what happens in the running interface and routes the work according to whether the goal is acceptance testing, inspection, or a user-attended walkthrough.

Skill for Claude CodeCodex

Install

Getting it into your agent

One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.

agentmods
npx agentmods add skills/dasdigitalemomentum/opencode-processing-skills/browser-walkthrough
Any agent
npx skills add DasDigitaleMomentum/opencode-processing-skills --skill browser-walkthrough
Clone the repo
git clone --depth 1 https://github.com/DasDigitaleMomentum/opencode-processing-skills

Made for: Claude Code, Codex.

Wrote 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.

agentmods badge for browser-walkthrough

README.md
[![agentmods](https://agentmods.dev/badge/skills/dasdigitalemomentum/opencode-processing-skills/browser-walkthrough.svg)](https://agentmods.dev/skills/dasdigitalemomentum/opencode-processing-skills/browser-walkthrough)
Your own site
<a href="https://agentmods.dev/skills/dasdigitalemomentum/opencode-processing-skills/browser-walkthrough"><img src="https://agentmods.dev/badge/skills/dasdigitalemomentum/opencode-processing-skills/browser-walkthrough.svg" alt="Measured on agentmods" height="20"></a>
Per session 42 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 885 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. Scan, not verified.
Origin original No closer match found in the catalogue.
Token cost

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.

ModelPer sessionOnce invoked
Fable 5 $0.00042 $0.00885
Opus 5 $0.00021 $0.00443
Sonnet 5 $0.00008 $0.00177
Haiku 4.5 $0.00004 $0.00089

Measured 3d ago against content hash 3c2f2bfa7a6d, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

browser-walkthrough 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 3d 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.

skills/browser-walkthrough/SKILL.md · 69 lines

How it starts

The opening of the file, as written. The whole thing — 69 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Skill: Browser Walkthrough

Use available Playwright MCP/browser tools to exercise and observe a browser journey. This skill does not install, provision, or configure Playwright and does not create a browser-specific persona.

Modes and Role Routing

Select one mode before using browser tools. Existing personas remain defined by the kind of delegation:

  1. Automated browser acceptance — Implementer-owned
    • Use during approved execute-work-package EXECUTE work when browser behavior is part of implementation verification.
    • Keep the approved Blueprint, targeted-then-broad verification sequence, and final verify command authoritative.
    • Exercise the acceptance journey autonomously and return evidence through the execution digest.
  2. Agent-observed walkthrough — Delegate-owned
    • Use when an agent must inspect, explain, or evaluate an existing browser journey without owning implementation.
    • The Delegate owns observations, hypothesis/evidence/decision cycles, and the walkthrough digest; separable evidence retrieval may still go to retriever.
  3. User-attended walkthrough — Maintainer-coordinated, optionally Delegate-executed
    • Use when the user participates in or directs the journey while it is in progress.
    • The Maintainer owns the user conversation and attended decision points. A Delegate may execute each bounded browser segment and return when user input is needed.
    • Resume the same Delegate task_id after user input when retained browser and observation context materially helps; otherwise use a fresh bounded delegation.

Do not route any mode to a browser-runner agent or model alias.

Workflow

  1. State the selected mode, journey objective, starting location, and observable success condition.
  2. Use the available Playwright MCP/browser navigation, accessibility, interaction, console, network, screenshot, and tab tools needed for that journey.
    • A lighter Delegate such as delegate-fast is appropriate for bounded mechanical navigation and observation.
    • Use retriever for separable browser evidence retrieval, not as the owner of an iterative journey or attended interaction.
  3. Prefer compact accessibility queries and targeted evidence. Keep large accessibility snapshots, DOM output, console logs, traces, screenshots, and similar raw evidence out of the owning or primary response:
    • save potentially large tool output to a predictable evidence path when the tool supports it;
    • otherwise use the owning role's existing /tmp/opencode/ spooling, focused filtering, or retriever evidence-routing behavior;
    • retain only paths plus compact decisive observations in the active context.
  4. Treat each completed browser journey, or each bounded browser hypothesis/evidence/decision cycle, as one checkpoint unit. Consult the returned input telemetry before deliberately beginning another context-heavy browser unit; unknown telemetry remains unknown.
  5. Record the observed result, any failure point, evidence paths, and browser cleanup performed or still pending.

Read the full file on GitHub · 69 lines

Changes

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.

  1. 3d ago First seen · 69 lines · 42 tokens per session scan A 3c2f2bfa7a6d

Subscribe to this mod's changes

browser-walkthrough is a skill published in the GitHub repository DasDigitaleMomentum/opencode-processing-skills (59 stars, last pushed 24d ago), licensed MIT. It adds 42 tokens to every session and 885 once invoked, about $0.0002 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.