deploy-agent

deploy-agent is a skill for Claude Code from quickchatai/quickchat-claude-plugin. It costs 131 tokens per session (1,308 once invoked), scanned A, original, MIT.

A procedure for connecting a configured Quickchat AI Agent to supported channels such as a website widget, chat page, Discord, Telegram, Instagram, Slack, or email. It first checks which channels are already live and then connects the ones requested.

In plain words
What is it for?
Use it to inspect an agent's channel status and connect the agent to the selected communication channels.
Why use it?
It avoids guessing about deployment status or sending users through the wrong setup path. It also distinguishes channels this tool can connect from those that require the Quickchat dashboard.

Skill for Claude Code

Written for Claude Code: shipped in a Claude Code plugin.

Part of the quickchat plugin — 6 skills, 6 commands, 1 MCP server shipped together

Good fit Use it to inspect an agent's channel status and connect the agent to the selected communication channels.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/quickchatai/quickchat-claude-plugin/deploy-agent
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 quickchatai/quickchat-claude-plugin --skill deploy-agent
Clone the repo
git clone --depth 1 https://github.com/quickchatai/quickchat-claude-plugin

Made for: Claude Code.

Or install quickchat, the plugin that ships this one along with the rest of its 6 skills, 6 commands, 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 deploy-agent

README.md
[![agentmods](https://agentmods.dev/badge/skills/quickchatai/quickchat-claude-plugin/deploy-agent/github.svg)](https://agentmods.dev/skills/quickchatai/quickchat-claude-plugin/deploy-agent)
Your own site
<a href="https://agentmods.dev/skills/quickchatai/quickchat-claude-plugin/deploy-agent"><img src="https://agentmods.dev/badge/skills/quickchatai/quickchat-claude-plugin/deploy-agent/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 deploy-agent

Your own site · 80×15
<a href="https://agentmods.dev/skills/quickchatai/quickchat-claude-plugin/deploy-agent"><img src="https://agentmods.dev/badge/skills/quickchatai/quickchat-claude-plugin/deploy-agent.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 131 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,308 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 $0.00131 $0.01308
Opus 5.5 $0.00052 $0.00523
Sonnet 5.5 $0.00026 $0.00262
Haiku 4.5 $0.00013 $0.00131

Measured 10d ago against content hash 8e74661717bc, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

deploy-agent 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/quickchat/skills/deploy-agent/SKILL.md · 99 lines

How it starts

The opening of the file, as written. The whole thing — 99 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Deploy an Agent to its channels

Connecting a channel is tool work, not dashboard homework. Every channel below has a first-class path through connect_agent_channel; only the ones under "Dashboard-only channels" need the Quickchat dashboard, and you say so exactly once instead of guessing.

Before you start

  1. Resolve the Agent: call list_scenarios and match the name to its scenario_id. If several qualify, ask which one.
  2. Call get_deployment_info and read channels — that is the verified state. A channel listed in connected is live; not_configured is a definite no; not_checked (or absent from all four lists) means you could not verify it, so say that rather than guessing.
  3. A channel name is never a website. When the user says "connect Telegram" or "put it on Instagram", that is a connect_agent_channel call — do NOT scrape telegram.com or instagram.com as a knowledge source, and do NOT describe dashboard menus for a channel this tool connects.

Connecting each channel

All of these are connect_agent_channel with the right channel value. Relay the returned instructions faithfully — they say who may open a link and for how long it works.

  • Telegram (channel=telegram): switches on the Agent's direct-message link and returns it. The link is durable and shareable — ideal for a personal assistant. Telegram groups are the one Telegram case that needs the dashboard.
  • Discord (channel=discord, optional nickname): returns a one-time link. The user opens it in a browser where they are signed in to Quickchat, picks the server, and approves. It works once, only for them, and expires in about 10 minutes (expires_in_seconds is authoritative) — if it lapses, mint a fresh one instead of resending the old link.
  • Instagram (channel=instagram): returns a one-time link like Discord's. It forwards to Instagram, which always asks the user to sign in (even with a session already open) so they can choose the professional (business or creator) account the Agent should answer DMs for; they sign in with that account and approve message access. This cannot be completed for them: give them the link and tell them which account to sign in with.
  • Slack (channel=slack): returns a workspace-install link. It needs no Quickchat sign-in and does not expire, but anyone who opens it can connect their own workspace to this Agent — pass it only to the intended person.
  • Email (channel=email): provisions the Agent's dedicated inbound address, switches the channel on, and returns inbound_address. Mail sent or forwarded there is answered by the Agent; to cover an existing support inbox, the user forwards that inbox to this address.
  • The Agent's own MCP endpoint (channel=mcp with is_active=true): lets ChatGPT, Claude or Cursor users add the Agent as a connector. visibility public means anyone with the URL, private requires signing in. Switching it OFF (is_active=false) disconnects existing users, so ask before doing that. Plans without the MCP channel are refused — relay the upgrade message rather than retrying.
  • Website widget and public chat page: no connect call — read website_widget and public_chat_page from get_deployment_info and hand over embed_snippet (paste before </body>) or the page URL, plus any note saying the surface is switched off and where to enable it.

Read the full file on GitHub · 99 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 · 99 lines · 131 tokens per session scan A 8e74661717bc

Subscribe to this mod's changes

deploy-agent is a skill published in the GitHub repository quickchatai/quickchat-claude-plugin (1 stars, last pushed 2d ago), licensed MIT. It adds 131 tokens to every session and 1,308 once invoked, about $0.0005 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 2026-10-08.

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