tandem

tandem is a skill for Claude Code from bgmacris/quimera-ai. It costs 68 tokens per session (2,710 once invoked), scanned A, original, MIT.

Instructions for operating a Chrome browser that is shared live with a person. The agent can inspect pages, forms, network requests, and the page structure, while the person handles tasks such as captchas, two-factor authentication, and anti-bot checks.

In plain words
What is it for?
Use it to navigate and analyse websites, extract rendered content, fill forms, inspect the DOM or network traffic, and continue after the person clears a login or security checkpoint.
Why use it?
It divides browser work between the agent and the human when a page requires direct human interaction or an existing logged-in browser session.

Skill for Claude Code

Written for Claude Code: shipped in a Claude Code plugin. Also seen: reads .claude/ paths; mentions subagents.

Part of the tandem plugin — 2 skills, 6 commands, 1 agent, 1 MCP server shipped together

Good fit Use it to navigate and analyse websites, extract rendered content, fill forms, inspect the DOM or network traffic, and continue after the person clears a login or security checkpoint.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/bgmacris/quimera-ai/tandem
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.

Any agent
npx skills add bgmacris/quimera-ai --skill tandem
Clone the repo
git clone --depth 1 https://github.com/bgmacris/quimera-ai

Made for: Claude Code.

Or install tandem, the plugin that ships this one along with the rest of its 2 skills, 6 commands, 1 agent, 1 MCP server.

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 tandem

README.md
[![agentmods](https://agentmods.dev/badge/skills/bgmacris/quimera-ai/tandem/github.svg)](https://agentmods.dev/skills/bgmacris/quimera-ai/tandem)
Your own site
<a href="https://agentmods.dev/skills/bgmacris/quimera-ai/tandem"><img src="https://agentmods.dev/badge/skills/bgmacris/quimera-ai/tandem/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.

agentmods 80×15 button for tandem

Your own site · 80×15
<a href="https://agentmods.dev/skills/bgmacris/quimera-ai/tandem"><img src="https://agentmods.dev/badge/skills/bgmacris/quimera-ai/tandem.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 68 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 2,710 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe.
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 5.1 $0.00068 $0.02710
Opus 5 $0.00034 $0.01355
Sonnet 5 $0.00014 $0.00542
Haiku 4.5 $0.00007 $0.00271

Measured 10d ago against content hash e9eb87f7e94c, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-09, from the pricing page.

Security

Grade A, and why

tandem 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 10d 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.

plugins/tandem/skills/tandem/SKILL.md · 153 lines

How it starts

The opening of the file, as written. The whole thing — 153 lines — stays where its author put it; the contents beside it link to each section on GitHub.

tandem — shared browser, human + Claude

The human and you share ONE SAME Chrome in real time. The human sees it and drives it with the mouse; you operate it with the browser_* tools of the tandem MCP (Playwright over CDP). What one does, the other sees: state, cookies, and session are the same.

Startup

  • The browser does NOT start on its own. If the browser_* tools give ECONNREFUSED 127.0.0.1:9222, Chrome isn't running: ask the human to run /tandem:browser-start (or run it yourself if you have the command available). Check state with /tandem:browser-status.

Division of labor

  • The human does what requires being human: solving captchas, getting past anti-bot checkpoints (e.g. Vercel Security Checkpoint), 2FA logins, visual decisions.
  • You do the analysis: browser_snapshot (accessibility tree, better than a screenshot for reasoning and acting), browser_evaluate (JS), browser_network_requests, data extraction, filling forms, clicking by snapshot ref.
  • Typical unblocking pattern: the human clears the wall → you read the already-rendered DOM and analyze.

Two modes: live vs delegated (don't pollute the context)

There are two ways to navigate; choose by the task, not one by default:

  • Live (in this context): when there's handoff with the human (walls they clear: captcha, checkpoint, login), interactive navigation, or on-the-fly decisions. The human is in the loop.
  • Delegated to the web-navigator subagent: when it's HEAVY read/extraction without walls (large snapshots, scraping, walking many pages). The subagent swallows the DOM/snapshots in ITS context and returns to you only the distilled data → this context isn't polluted. You share the SAME Chrome (global state), so the human keeps seeing the window.
  • Rule: if the task will generate a lot of noise (snapshots of hundreds of KB, multi-page) and does NOT need the human live → delegate. If it needs human handoff or iterating with you → live.
  • Limit of delegation: the subagent doesn't talk to the human. If it hits a wall, it returns which and where; you tell the human, they clear it, and you relaunch the subagent to continue.

Read the full file on GitHub · 153 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. 10d ago First seen · 153 lines · 68 tokens per session scan A e9eb87f7e94c

Subscribe to this mod's changes

tandem is a skill published in the GitHub repository bgmacris/quimera-ai (11 stars, last pushed 1mo ago), licensed MIT. It adds 68 tokens to every session and 2,710 once invoked, about $0.0003 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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