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.
npx agentmods add skills/anthropics/knowledge-work-plugins/build-zoom-botnpx skills add anthropics/knowledge-work-plugins --skill build-zoom-botgit clone --depth 1 https://github.com/anthropics/knowledge-work-pluginsWrote 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.
[](https://agentmods.dev/skills/anthropics/knowledge-work-plugins/build-zoom-bot)<a href="https://agentmods.dev/skills/anthropics/knowledge-work-plugins/build-zoom-bot"><img src="https://agentmods.dev/badge/skills/anthropics/knowledge-work-plugins/build-zoom-bot.svg" alt="Measured on agentmods" height="20"></a>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.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5 | $0.00045 | $0.00289 |
| Opus 5 | $0.00023 | $0.00144 |
| Sonnet 5 | $0.00009 | $0.00058 |
| Haiku 4.5 | $0.00005 | $0.00029 |
Grade A, and why
build-zoom-bot 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 yesterday.
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.
What it actually says
/build-zoom-bot
Use this skill for automation that joins meetings, captures media, or reacts to live session data.
Covers
- Bot architecture
- Meeting join strategy
- Real-time media and transcript handling
- Backend orchestration
- Storage, post-processing, and event flow design
Workflow
- Clarify whether the bot needs to join, observe, transcribe, summarize, or act.
- Route to Meeting SDK and RTMS as the core implementation path.
- Add REST API for meeting/resource management and Webhooks for asynchronous events when needed.
- Call out environment and lifecycle constraints early.
Primary References
Common Mistakes
- Treating batch transcription and live media as the same workflow
- Designing the bot before defining join authority and auth model
- Forgetting post-meeting storage and retry behavior
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.
- yesterday First seen · 38 lines · 45 tokens per session scan A 82dfffa9ed39
build-zoom-bot is a skill published in the GitHub repository anthropics/knowledge-work-plugins (23,849 stars, last pushed yesterday), licensed Apache-2.0. It adds 45 tokens to every session and 289 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 2026-09-03.
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