agentganggang

agentganggang is a command for Claude Code from xiaojiou176-open/multi-ai-panel. It costs 0 tokens per session (194 once invoked), scanned A, original, MIT.

A set of Claude Code commands for sending one prompt to several supported AI chat tabs through MultiAiPanel, a local browser workspace.

In plain words
What is it for?
It is for checking bridge status and readiness, running comparisons, analyzing results, starting workflows, and viewing, resuming, or listing workflow runs.
Why use it?
It gives developers a defined sequence for checking the connection, comparing answers, and continuing longer comparison workflows.

Command for Claude Code

Written for Claude Code: shipped in a Claude Code plugin. Also seen: mentions Claude Code.

Part of the multi-ai-panel-claude-code-bundle plugin — 1 command, 1 MCP server shipped together

Good fit It is for checking bridge status and readiness, running comparisons, analyzing results, starting workflows, and viewing, resuming, or listing workflow runs.

Compare 6 commands from other repositories ↓
Install with agentmods
npx agentmods add commands/xiaojiou176-open/multi-ai-panel/agentganggang
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.

Clone the repo
git clone --depth 1 https://github.com/xiaojiou176-open/multi-ai-panel

Made for: Claude Code.

Or install multi-ai-panel-claude-code-bundle, the plugin that ships this one along with the rest of its 1 command, 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 agentganggang

README.md
[![agentmods](https://agentmods.dev/badge/commands/xiaojiou176-open/multi-ai-panel/agentganggang/github.svg)](https://agentmods.dev/commands/xiaojiou176-open/multi-ai-panel/agentganggang)
Your own site
<a href="https://agentmods.dev/commands/xiaojiou176-open/multi-ai-panel/agentganggang"><img src="https://agentmods.dev/badge/commands/xiaojiou176-open/multi-ai-panel/agentganggang/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 agentganggang

Your own site · 80×15
<a href="https://agentmods.dev/commands/xiaojiou176-open/multi-ai-panel/agentganggang"><img src="https://agentmods.dev/badge/commands/xiaojiou176-open/multi-ai-panel/agentganggang.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 0 Only the description is in the session, so the agent can decide to use it. The body loads when it is invoked.
When invoked 194 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 $0.00000 $0.00194
Opus 5 $0.00000 $0.00097
Sonnet 5 $0.00000 $0.00039
Haiku 4.5 $0.00000 $0.00019

Measured 12d ago against content hash a218e93d42c2, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-12, from the pricing page.

Security

Grade A, and why

agentganggang 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 12d 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.

mcp/integration-kits/public-bundles/claude-code-bundle/commands/agentganggang.md · 29 lines

What it actually says

MultiAiPanel

Use MultiAiPanel when you want Claude Code to compare one prompt across multiple supported AI chat tabs through the local MultiAiPanel MCP surface.

Smallest useful flow

  1. multi-ai-panel.bridge_status
  2. multi-ai-panel.check_readiness
  3. multi-ai-panel.compare

Preferred full flow

  1. multi-ai-panel.bridge_status
  2. multi-ai-panel.check_readiness
  3. multi-ai-panel.compare
  4. multi-ai-panel.analyze_compare
  5. multi-ai-panel.run_workflow
  6. multi-ai-panel.get_workflow_run
  7. multi-ai-panel.list_workflow_runs
  8. multi-ai-panel.resume_workflow

Boundary

  • MultiAiPanel remains the compare-first browser workspace.
  • Claude Code remains the outer coding loop.
  • This bundle assumes Claude Code already knows how to launch the local MultiAiPanel MCP server.
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. 12d ago First seen · 29 lines · 0 tokens per session scan A a218e93d42c2

Subscribe to this mod's changes

agentganggang is a command published in the GitHub repository xiaojiou176-open/multi-ai-panel (2 stars, last pushed 2mo ago), licensed MIT. It costs nothing until one of its globs matches a file; then it loads 194 tokens. 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.