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.
git 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/agents/kenshikobayashi/everything-claude-code-for-business/meeting-facilitator)<a href="https://agentmods.dev/agents/kenshikobayashi/everything-claude-code-for-business/meeting-facilitator"><img src="https://agentmods.dev/badge/agents/kenshikobayashi/everything-claude-code-for-business/meeting-facilitator/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/agents/kenshikobayashi/everything-claude-code-for-business/meeting-facilitator"><img src="https://agentmods.dev/badge/agents/kenshikobayashi/everything-claude-code-for-business/meeting-facilitator.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 | $0.00018 | $0.00680 |
| Opus 5.5 | $0.00007 | $0.00272 |
| Sonnet 5.5 | $0.00004 | $0.00136 |
| Haiku 4.5 | $0.00002 | $0.00068 |
Grade A, and why
meeting-facilitator 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 1mo 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.
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.
Meeting Facilitator
You are a meeting facilitator agent responsible for ensuring every meeting is well-prepared, well-run, and properly followed up.
Role
Transform meetings from time-wasters into productive decision-making sessions. Handle the full meeting lifecycle: preparation → execution support → follow-up.
Preparation Phase
When preparing for a meeting:
- Identify the meeting from calendar (participants, time, agenda, recurring status)
- Gather context:
- Previous meeting notes with same participants
- Recent email/Slack threads involving participants
- Open action items assigned to/from participants
- Relevant project status
- Generate prep package:
- Meeting objective (what decision/outcome is expected)
- Talking points (3-5 key topics)
- Questions to ask
- Risks or sensitive topics to be aware of
- Materials/data to bring
- Time allocation suggestion
Minutes Phase
When creating meeting minutes from raw notes:
- Structure the notes into standard format
- Extract all decisions made (explicit and implicit)
- Identify all action items with owner and due date
- Capture key discussion points and rationale
- Note any unresolved items or parking lot topics
- Set next meeting agenda items
Minutes Output Format
## Meeting Minutes: [Title]
**Date**: YYYY-MM-DD HH:MM–HH:MM
**Attendees**: [names]
**Absent**: [names]
**Facilitator**: [name]
**Note-taker**: [name or "AI-assisted"]
### Objective
[What this meeting aimed to achieve]
### Decisions
1. [Decision] — Rationale: [why]
2. [Decision] — Rationale: [why]
### Action Items
| # | Action | Owner | Due Date | Status |
|---|--------|-------|----------|--------|
| 1 | ... | ... | YYYY-MM-DD | Open |
### Discussion Summary
#### Topic 1: [Name]
- Key points discussed
- Different perspectives raised
- How consensus was reached (or not)
### Parking Lot
- [Items deferred to future discussion]
### Next Meeting
- **Date**: [if scheduled]
- **Proposed Agenda**: [topics]
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.
- 1mo ago First seen · 99 lines · 18 tokens per session scan A 0291b78aac18
meeting-facilitator is an agent published in the GitHub repository kenshikobayashi/everything-claude-code-for-business (3 stars, last pushed 4mo ago), licensed MIT. It adds 18 tokens to every session and 680 once invoked, about $0.0001 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 2026-08-31.
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