contact-center/android

A reference skill for integrating Zoom Contact Center into native Android apps. Zoom Contact Center is software for handling customer conversations through channels such as chat and video.

In plain words
What is it for?
Adding chat, video, virtual-agent, scheduled-callback, and campaign experiences to an Android contact-center app, including rejoin and service-lifecycle handling.
Why use it?
It explains the Android SDK lifecycle and the identifiers needed to initialize, use, and release contact-center services correctly.

Skill for Claude CodeCodex

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.

agentmods
npx agentmods add skills/zoom/zoom-plugin/android
Any agent
npx skills add zoom/zoom-plugin --skill android
Clone the repo
git clone --depth 1 https://github.com/zoom/zoom-plugin

Made for: Claude Code, Codex.

Per session 35 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 415 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. Scan, not verified.
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 $0.00035 $0.00415
Opus 5 $0.00017 $0.00208
Sonnet 5 $0.00007 $0.00083
Haiku 4.5 $0.00003 $0.00042

Measured 2d ago against content hash 84ff5d668684, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

contact-center/android 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.

skills/contact-center/android/SKILL.md · 54 lines

What it actually says

Zoom Contact Center SDK - Android

Official docs:

  1. concepts/sdk-lifecycle.md
  2. examples/service-patterns.md
  3. references/android-reference-map.md
  4. troubleshooting/common-issues.md

SDK Surface Summary

  • SDK manager: ZoomCCInterface
  • Channel services:
  • getZoomCCChatService()
  • getZoomCCVideoService()
  • getZoomCCZVAService()
  • getZoomCCScheduledCallbackService()
  • Campaign support via web campaign service and campaign metadata.

Hard Guardrails

  • Initialize SDK in Application.onCreate.
  • Use ZoomCCItem to define channel + identifiers.
  • Use entryId for chat/video/ZVA.
  • Use apiKey for scheduled callback and campaign mode.
  • Release services on teardown.

Common Chains

Operations

  • RUNBOOK.md - 5-minute preflight and debugging checklist.
Files

What ships with it

5 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.

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. 2d ago First seen · 54 lines · 35 tokens per session scan A 84ff5d668684

Subscribe to this mod's changes

contact-center/android is a skill published in the GitHub repository zoom/zoom-plugin (7 stars, last pushed 25d ago), licensed MIT. It adds 35 tokens to every session and 415 once invoked, about $0.0002 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.

Related

Other skills, from other repositories

orca-emulator-android

Control an Android emulator / device from inside Orca using the orca CLI. Use for listing/booting AVDs, taps, swipes, typing, hardware buttons (incl. Back and Recents), rotation, app install/launch, runtime permissions, the accessibility tree, and logcat — driving a real adb-connected device or emulator.…

stablyai/orca · 104 tokens

speckit-analyze

Perform a non-destructive cross-artifact consistency and quality analysis across spec.md, plan.md, and tasks.md after task generation.

unoplatform/uno · 32 tokens

add-sample

Create a SamplesApp sample page with correct theming and attributes. Use when adding UI samples for controls.

unoplatform/uno · 21 tokens

mapping-to-snomed

Maps clinical concept spans extracted by OpenMed to SNOMED CT concepts through a USER-SUPPLIED terminology server (the user's own Ontoserver, Snowstorm, or UMLS/UTS), never a bundled vocabulary. Use when the user wants to code findings, disorders, procedures, body structures, or substances to SNOMED CT, run an ECL…

maziyarpanahi/openmed · 205 tokens

android-tombstone-symbolication

Symbolicate the .NET runtime frames in an Android tombstone file. Extracts BuildIds and PC offsets from the native backtrace, downloads debug symbols from the Microsoft symbol server, and runs llvm-symbolizer to produce function names with source file and line numbers. USE FOR triaging a .NET MAUI or Mono Android app…

dotnet/skills · 176 tokens

auditing-subgroup-fairness

Audit an OpenMed NER or de-identification model for performance disparities across demographic subgroups (sex, age band, race/ethnicity when available) using openmed.eval.fairnessreport. Use when the user wants per-subgroup recall and leakage, wants to check whether de-identification under-protects a group, wants to…

maziyarpanahi/openmed · 148 tokens