OpenInference is a set of conventions and instrumentation plugins for tracing AI applications with OpenTelemetry. It helps developers record language-model calls, retrieval from vector stores, and external tool use for analysis in compatible observability backends. The catalogue entries support instrumentation and use of these tracing conventions.
Borrowing it
Nothing to install: this file belongs to Arize-ai/openinference. 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/Arize-ai/openinference/main/.agents/skills/agent-browser/SKILL.mdgit clone --depth 1 https://github.com/Arize-ai/openinferenceWrote 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/arize-ai/openinference/agent-browser)<a href="https://agentmods.dev/skills/arize-ai/openinference/agent-browser"><img src="https://agentmods.dev/badge/skills/arize-ai/openinference/agent-browser/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/arize-ai/openinference/agent-browser"><img src="https://agentmods.dev/badge/skills/arize-ai/openinference/agent-browser.svg" alt="Reviewed on agentmods" width="80" 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 5.1 | $0.00200 | $0.00679 |
| Opus 5.5 | $0.00080 | $0.00272 |
| Sonnet 5.5 | $0.00040 | $0.00136 |
| Haiku 4.5 | $0.00020 | $0.00068 |
Grade A, and why
agent-browser 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 1mo 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.
This is a copy
100% identical to agent-browser — 14 lines differ, which has more behind it and is treated as the original. This page carries a canonical link to it rather than competing with it.
How it starts
The opening of the file, as written. The whole thing — 56 lines — stays where its author put it; the contents beside it link to each section on GitHub.
agent-browser
Fast browser automation CLI for AI agents. Chrome/Chromium via CDP with
accessibility-tree snapshots and compact @eN element refs.
Install: npm i -g agent-browser && agent-browser install
Start here
This file is a discovery stub, not the usage guide. Before running any
agent-browser command, load the actual workflow content from the CLI:
agent-browser skills get core # start here — workflows, common patterns, troubleshooting
agent-browser skills get core --full # include full command reference and templates
The CLI serves skill content that always matches the installed version,
so instructions never go stale. The content in this stub cannot change
between releases, which is why it just points at skills get core.
Specialized skills
Load a specialized skill when the task falls outside browser web pages:
agent-browser skills get electron # Electron desktop apps (VS Code, Slack, Discord, Figma, ...)
agent-browser skills get slack # Slack workspace automation
agent-browser skills get dogfood # Exploratory testing / QA / bug hunts
agent-browser skills get vercel-sandbox # agent-browser inside Vercel Sandbox microVMs
agent-browser skills get agentcore # AWS Bedrock AgentCore cloud browsers
Run agent-browser skills list to see everything available on the
installed version.
Why agent-browser
- Fast native Rust CLI, not a Node.js wrapper
- Works with any AI agent (Cursor, Claude Code, Codex, Continue, Windsurf, etc.)
- Chrome/Chromium via CDP with no Playwright or Puppeteer dependency
- Accessibility-tree snapshots with element refs for reliable interaction
- Sessions, authentication vault, state persistence, video recording
- Specialized skills for Electron apps, Slack, exploratory testing, cloud providers
Observability Dashboard
The dashboard runs independently of browser sessions on port 4848 and can also be opened through a proxied or forwarded URL such as https://dashboard.agent-browser.localhost. Agents should stay on the dashboard origin: session tabs, status, and stream traffic are proxied internally, so session ports do not need to be exposed.
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.
- 1mo ago First seen · 56 lines · 200 tokens per session scan A 00709861067d
agent-browser is a skill published in the GitHub repository Arize-ai/openinference (1,291 stars, last pushed today), licensed Apache-2.0. It adds 200 tokens to every session and 679 once invoked, about $0.0008 per session on Opus 5.5. A static security scan graded it A with 0 findings. It is 100% identical to agent-browser, differing in 14 lines, and is treated as a copy.
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dingtalk_channel_connect
Use a headed browser to automatically complete DingTalk channel integration for QwenPaw. Applicable when the user mentions DingTalk, developer console, Client ID, Client Secret, bot, Stream mode, binding or configuring a channel. Supports pausing when a login page is detected and resuming after the user logs in.
dingtalk_channel_connect
A browser-based procedure for connecting a QwenPaw bot to DingTalk, a workplace messaging platform. It covers creating or configuring the application and publishing the finished bot.
browser_cdp
Use this skill when the user explicitly wants to connect to a running Chrome browser, scan local CDP ports, specify a cdpport, or share a single browser across multiple agents/tools. By default browser opens no debugging port; pass an explicit cdpport only when the user wants another local tool to attach.
browser_cdp
Browser connection controls for finding local debugging ports, attaching to an already running Chrome browser, or sharing one browser between tools.