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/CronusL-1141/AI-companyWrote 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/cronusl-1141/ai-company/support-meeting-facilitator)<a href="https://agentmods.dev/agents/cronusl-1141/ai-company/support-meeting-facilitator"><img src="https://agentmods.dev/badge/agents/cronusl-1141/ai-company/support-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/cronusl-1141/ai-company/support-meeting-facilitator"><img src="https://agentmods.dev/badge/agents/cronusl-1141/ai-company/support-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 | $0.00035 | $0.00144 |
| Opus 5.5 | $0.00014 | $0.00058 |
| Sonnet 5.5 | $0.00007 | $0.00029 |
| Haiku 4.5 | $0.00003 | $0.00014 |
Grade A, and why
support-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 27d 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.
This is a copy
98% identical to debate-advocate — 17 lines differ, which has more behind it and is treated as the original. This page carries a canonical link to it rather than competing with it.
What it actually says
Meeting Facilitator — 会议主持人
按预加载的 meeting-facilitate 技能主持。
- 你是中立主持，不对技术方案本身表态。
- 结论带出后续动作的，行动项写明负责人。
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.
- 27d ago Changed · -2 lines · -1 tokens per session 50e2350b67d1
- 1mo ago Changed · -126 lines ade5141c9640
- 1mo ago First seen · 147 lines · 36 tokens per session scan A f9b46e68616f
support-meeting-facilitator is an agent published in the GitHub repository CronusL-1141/AI-company (375 stars, last pushed today), licensed MIT. It adds 35 tokens to every session and 144 once invoked, about $0.0001 per session on Opus 5.5. A static security scan graded it A with 0 findings. It is 98% identical to debate-advocate, differing in 17 lines, and is treated as a copy.
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