debug-zoom

A troubleshooting guide for broken Zoom integrations. It narrows the problem to areas such as login, API requests, webhooks, software development kits, media sessions, or MCP connections.

In plain words
What is it for?
Use it to diagnose failed authentication, API calls, webhook checks, SDK setup, meeting joins, real-time media behavior, or MCP transport.
Why use it?
It helps developers avoid investigating every part of a Zoom integration at once. Instead, it ranks likely causes and asks for the specific error or evidence needed to test them.

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

Made for: Claude Code, Codex.

Per session 49 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 322 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 $0.00049 $0.00322
Opus 5 $0.00024 $0.00161
Sonnet 5 $0.00010 $0.00064
Haiku 4.5 $0.00005 $0.00032

Measured 2d ago against content hash 2e0772e82a87, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

debug-zoom 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/debug-zoom/SKILL.md · 40 lines

What it actually says

/debug-zoom

If you see unfamiliar placeholders or need to check which tools are connected, see CONNECTORS.md.

Debug Zoom auth, API, webhook, SDK, or MCP issues without wandering through the entire docs set.

Usage

/debug-zoom $ARGUMENTS

Workflow

  1. Identify the failing layer: auth, API request, webhook, SDK init, media/session behavior, or MCP transport.
  2. Ask for the minimum missing evidence: exact error, platform, request/response, event payload, or code path.
  3. Produce 2-4 plausible causes ranked by likelihood.
  4. Route to the most relevant deep references in skills/.
  5. Give a short verification plan so the user can confirm the fix.

Output

  • Most likely failure layer
  • Ranked hypotheses
  • Targeted fix steps
  • Verification checklist
  • Relevant skill links
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 · 40 lines · 49 tokens per session scan A 2e0772e82a87

Subscribe to this mod's changes

debug-zoom is a skill published in the GitHub repository zoom/zoom-plugin (7 stars, last pushed 26d ago), licensed MIT. It adds 49 tokens to every session and 322 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.

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