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 skills add Quindart-com/opencode-chromium --skill opencode-browser-plugingit clone --depth 1 https://github.com/Quindart-com/opencode-chromiumWrote 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/quindart-com/opencode-chromium/opencode-browser-plugin)<a href="https://agentmods.dev/skills/quindart-com/opencode-chromium/opencode-browser-plugin"><img src="https://agentmods.dev/badge/skills/quindart-com/opencode-chromium/opencode-browser-plugin/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/quindart-com/opencode-chromium/opencode-browser-plugin"><img src="https://agentmods.dev/badge/skills/quindart-com/opencode-chromium/opencode-browser-plugin.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 | $0.00020 | $0.01609 |
| Opus 5.5 | $0.00008 | $0.00644 |
| Sonnet 5.5 | $0.00004 | $0.00322 |
| Haiku 4.5 | $0.00002 | $0.00161 |
Grade A, and why
opencode-browser-plugin 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 16d 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 — 62 lines — stays where its author put it; the contents beside it link to each section on GitHub.
opencode-browser-plugin
Prefer a structured connector or API when it can complete the task. Use these browser tools for UI-only work, connector gaps, and visual verification. Do not switch to raw Node, Playwright, or another browser integration when this runtime is available.
Use browser_run, browser_observe, browser_session, and browser_finalize. Pass a user-named profile on the first useful call. Avoid status-only calls. Combine find, action, conditional settling, and post-observation in one browser_run; never synthesize fixed-delay wait steps.
Reuse sessionId. Page search uses the Snowflake model by default. Pass searchStrategy: "lexical" for lowest latency, "auto" for lexical-first adaptive retrieval, or "deep" for multilingual, code-heavy, or genuinely semantic retrieval. Request advanced descriptions with browser_observe mode capabilities, then execute a capability through a browser_run step without adding top-level tools.
Choose the browser surface deliberately. An explicit user request for a named profile or browser wins over URL-based selection; when no profile is named, let the target URL select the profile; with neither, use the default profile. Selection and discovery stay read-only — never inspect cookies, storage, profiles, passwords, or session stores. When authentication blocks a requested navigation, ask the user to sign in directly in their browser; do not substitute another profile or bypass the sign-in with a search engine, a mirror site, or any other source.
When browser setup succeeds but discovery or selection fails, read docs/troubleshooting.md — topic #discovery — before retrying. When extension or native-host installation or communication fails, read #installation before taking another recovery action.
When the user asks to continue, resume, or recall what a prior session did — or when the target describes a reasonably repeatable multi-step workflow (logins aside) that you or a previous run already attempted — consult local action memory instead of re-exploring from scratch: call memory_status first, then one bounded memory_search "<task intent>" (and memory_query only for provenance) before broader page or tab discovery. memory_search returns at most three high-level recipes and already rejects unrelated matches. Replay needs no flag: when action memory is enabled, browser_run automatically replays a remembered recipe for the steps you issue again on the same host, re-resolving each remembered target against the live DOM through the ordinary execution path, and reports memory.used with stepsReused; it falls back to normal exploration automatically when a step is stale. Pass memoryIntent only when you want bounded semantic recall for an intent that is not an exact repeat, and memoryMode: "off" only when the user asks you not to use memory at all. Typed values and URLs always come from your own request, never from memory. Treat results as evidence, not a transcript: reuse confirmed routes, treat returned negative lessons as what failed, verify current page state through the least intrusive observation, and ask the user when intent is missing. Never consult memory for unrelated tasks, and continue normally when memory is absent, disabled, unhealthy, or search returns nothing. If memory_status reports replays stuck at zero, check usage.replay_rejections_by_reason before concluding memory is broken.
For deeper network inspection of one controlled tab, request the lazy network pack and then run network.inspect:
{"mode":"capabilities","pack":"network"}
{
"steps": [{
"action": "capability",
"capability": "network.inspect",
"input": {"tabId": 123, "urlIncludes": "/api/", "includeHeaders": true}
}]
}
The default network result is lifecycle-only. Headers are redacted, bodies are disabled by default, and includeBody: "request" | "response" | "both" is bounded, redacted, and approval-gated.
When a result is approval_required, review the chain and call browser_run again with only approvalToken. Never recreate or modify the approved chain. Retrieve screenshots and oversized results from their artifact URI. When the work is complete, call browser_finalize and pass keep only for tabs that must survive:
What ships with it
1 file beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.
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.
- 16d ago Changed bae928838dd0
- 1mo ago First seen · 62 lines · 20 tokens per session scan A a5fa4ee10bb9
opencode-browser-plugin is a skill published in the GitHub repository Quindart-com/opencode-chromium (21 stars, last pushed 4d ago), licensed MIT. It adds 20 tokens to every session and 1,609 once invoked, about $0.0001 per session on Opus 5.5. 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 2026-08-31.
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