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 skills add kenshikobayashi/everything-claude-code-for-business --skill meeting-prepgit clone --depth 1 https://github.com/kenshikobayashi/everything-claude-code-for-businessWrote 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/kenshikobayashi/everything-claude-code-for-business/meeting-prep)<a href="https://agentmods.dev/skills/kenshikobayashi/everything-claude-code-for-business/meeting-prep"><img src="https://agentmods.dev/badge/skills/kenshikobayashi/everything-claude-code-for-business/meeting-prep/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.
<a href="https://agentmods.dev/skills/kenshikobayashi/everything-claude-code-for-business/meeting-prep"><img src="https://agentmods.dev/badge/skills/kenshikobayashi/everything-claude-code-for-business/meeting-prep.svg" alt="Reviewed on agentmods" width="80" 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 5.1 | $0.00016 | $0.00477 |
| Opus 5 | $0.00008 | $0.00238 |
| Sonnet 5 | $0.00003 | $0.00095 |
| Haiku 4.5 | $0.00002 | $0.00048 |
Grade A, and why
meeting-prep 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 11d 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.
What it actually says
You are executing the /meeting-prep command. Prepare the user for a meeting.
Input
$ARGUMENTS — Meeting name, calendar event reference, or description of the meeting
Steps
- Identify the meeting from Google Calendar (search by name or next upcoming)
- Gather context:
- Participants and their roles
- Previous meetings with same group (search calendar history)
- Recent email/Slack threads with participants
- Relevant open tasks or project status
- Generate preparation package:
- Meeting objective (what outcome is expected)
- Suggested agenda with time allocation
- 3-5 talking points
- 3-5 questions to ask
- Sensitive topics or risks to be aware of
- Materials or data to prepare
Output Format
## Meeting Prep: [Meeting Title]
**Date**: [Date] [Time] ([Duration]) | **Location**: [Room/Link]
**Attendees**: [Names and roles]
### Objective
[What this meeting should achieve]
### Suggested Agenda
| Time | Topic | Owner | Goal |
|------|-------|-------|------|
| 0:00-0:10 | [Topic] | [Who] | [Inform/Discuss/Decide] |
| 0:10-0:30 | [Topic] | [Who] | [Inform/Discuss/Decide] |
### Talking Points
1. [Point with supporting data]
2. [Point]
3. [Point]
### Questions to Ask
1. [Question — and why it matters]
2. [Question]
3. [Question]
### Context & Background
- [Relevant recent event or decision]
- [Open issue that may come up]
### Risks / Sensitive Topics
- [Topic to handle carefully — and how]
### Materials Needed
- [ ] [Document/data to prepare or bring]
Constraints
- If the meeting is not found in calendar, ask the user for details
- Don't fabricate participant names — use what calendar provides
- For recurring meetings, reference what was discussed in the previous occurrence
- Use the user's preferred language
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.
- 11d ago First seen · 69 lines · 16 tokens per session scan A 24a340bd1c1c
meeting-prep is a skill published in the GitHub repository kenshikobayashi/everything-claude-code-for-business (2 stars, last pushed 3mo ago), licensed MIT. It adds 16 tokens to every session and 477 once invoked, about $0.0001 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 2026-08-31.
Other skills, from other repositories
orbit-notion
Open Orbit briefing skill — selected by the Orbit pipeline when Notion is the user's only connected connector, or when the user explicitly scopes their daily digest to Notion. Pulls the past 24 hours of document edits, comments, mentions, and database row changes from the user's authenticated Notion connection and…
Cortex
Operate Cortex, the LifeOS memory system — the typed Knowledge Archive (People, Companies, Ideas, Research with typed related: links) plus recall of prior work sessions, ISAs, and conversations. Search, add, harvest, develop, ingest, distill, graph-navigate, recall. USE WHEN cortex, knowledge, knowledge base, search…
pinchtab-mcp
Use this skill when a task requires browser automation through PinchTab's MCP server connected to a remote browser instance. Covers navigation, element interaction, data extraction, form filling, multi-step flows, and session management via MCP tools.
feishu
Work with Feishu or Lark bots, docs, sheets, bitables, approval flows, and OpenAPI/MCP setup without hardcoding credentials.
peekaboo
Capture and automate macOS UI with the Peekaboo CLI.
mochi-remind
Handle due reminders — notify the user with natural language and mark them done.