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/gcwing/bitfun/agent-browsernpx skills add GCWing/BitFun --skill agent-browsergit clone --depth 1 https://github.com/GCWing/BitFunWhat 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 | $0.00234 | $0.00862 |
| Opus 5 | $0.00117 | $0.00431 |
| Sonnet 5 | $0.00047 | $0.00172 |
| Haiku 4.5 | $0.00023 | $0.00086 |
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 2d 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
86% identical to agent-browser — 8 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.
ControlHub's browser domain is BitFun's default path for ordinary web pages, so this skill is opt-in and you are reading it because it was invoked explicitly — proceed with agent-browser for this task. It is the right tool for Electron desktop apps, Slack workspace automation, and cloud browsers, which ControlHub does not cover. The two stacks use separate browser instances, element refs, and login state, so do not mix them within one task.
Install only after user approval: npm i -g [email protected] && agent-browser install
If the CLI is unavailable and the user declines installation, explain the missing prerequisite and offer a non-browser fallback; do not silently switch tools.
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 derive-client # Record a HAR, derive a standalone API client for a site
agent-browser skills get vercel-sandbox # agent-browser inside Vercel Sandbox microVMs
agent-browser skills get agentcore # AWS Bedrock AgentCore cloud browsers
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.
- 2d ago First seen · 56 lines · 234 tokens per session scan A 5a8326420625
agent-browser is a skill published in the GitHub repository GCWing/BitFun (1,871 stars, last pushed 2d ago), licensed MIT. It adds 234 tokens to every session and 862 once invoked, about $0.0012 per session on Opus 5. A static security scan graded it A with 0 findings. It is 86% identical to agent-browser, differing in 8 lines, and is treated as a copy.
Other skills, from other repositories
agent-browser
Browse the web for any task — research topics, read articles, interact with web apps, fill forms, take screenshots, extract data, and test web pages. Use whenever a browser would be useful, not just when the user explicitly asks.
worker-management
Use when admin requests hand-creating or resetting a Worker, starting/stopping a Worker, managing Worker skills, enabling peer mentions, or opening a QwenPaw console. Use agentteams-find-worker only as a helper for Nacos-backed market import or when task assignment needs you to discover a suitable Worker.
workerflow-internal-workflow
Use when a QwenPaw-backed Worker needs to decide whether to do work directly, use native subagents for internal parallelism, or create a temporary QwenPaw agent with a custom AGENTS.md and skills.
find-skills
Discover and install agent skills from the open ecosystem. Use when you encounter an unfamiliar domain, framework, or workflow that you lack specialized knowledge about, or when your coordinator suggests searching for skills before starting a task.
coding-cli
将编码工作委托给 Manager 持有的 AI CLI 工具（Claude Code / Gemini CLI / qodercli）执行.
task-management
Use before any Worker taskflow call or assigned-task workflow, including reading task state, acknowledging a task, executing a task, tracking progress, handling blockers/questions, submitting structured results, or reporting completion. Always use this skill when the message mentions assigned task, task ID…