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.
npx agentmods add skills/dasdigitalemomentum/opencode-processing-skills/browser-walkthroughnpx skills add DasDigitaleMomentum/opencode-processing-skills --skill browser-walkthroughgit clone --depth 1 https://github.com/DasDigitaleMomentum/opencode-processing-skillsWrote 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/dasdigitalemomentum/opencode-processing-skills/browser-walkthrough)<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>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 | $0.00042 | $0.00885 |
| Opus 5 | $0.00021 | $0.00443 |
| Sonnet 5 | $0.00008 | $0.00177 |
| Haiku 4.5 | $0.00004 | $0.00089 |
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.
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:
- Automated browser acceptance — Implementer-owned
- Use during approved
execute-work-packageEXECUTE 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.
- Use during approved
- 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.
- 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_idafter 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
- State the selected mode, journey objective, starting location, and observable success condition.
- 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-fastis appropriate for bounded mechanical navigation and observation. - Use
retrieverfor separable browser evidence retrieval, not as the owner of an iterative journey or attended interaction.
- A lighter Delegate such as
- 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, orretrieverevidence-routing behavior; - retain only paths plus compact decisive observations in the active context.
- 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.
- Record the observed result, any failure point, evidence paths, and browser cleanup performed or still pending.
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.
- 3d ago First seen · 69 lines · 42 tokens per session scan A 3c2f2bfa7a6d
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.
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