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 malue-ai/dazee-small --skill meeting-insights-analyzergit clone --depth 1 https://github.com/malue-ai/dazee-smallWrote 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/malue-ai/dazee-small/meeting-insights-analyzer)<a href="https://agentmods.dev/skills/malue-ai/dazee-small/meeting-insights-analyzer"><img src="https://agentmods.dev/badge/skills/malue-ai/dazee-small/meeting-insights-analyzer/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/malue-ai/dazee-small/meeting-insights-analyzer"><img src="https://agentmods.dev/badge/skills/malue-ai/dazee-small/meeting-insights-analyzer.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 | $0.00029 | $0.00685 |
| Opus 5 | $0.00015 | $0.00342 |
| Sonnet 5 | $0.00006 | $0.00137 |
| Haiku 4.5 | $0.00003 | $0.00068 |
Grade A, and why
meeting-insights-analyzer 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
会议深度分析
深度分析会议记录或转录文本，发现沟通模式、提取关键决策和行动项。
使用场景
- 用户说「分析一下这个会议记录」「这次会议效率怎么样」
- 用户贴入会议转录文本，想了解讨论质量
- 管理者想了解团队会议的沟通模式和改进方向
执行方式
直接使用 LLM 能力分析文本，无需额外工具。
分析维度
1. 参与度分析
- 各参会者发言占比（估算）
- 谁主导了讨论、谁几乎没发言
- 是否存在「一言堂」现象
2. 决策质量
- 会议中做了哪些决策
- 决策是否有充分讨论
- 是否有遗留的未决问题
3. 沟通模式
- 是否存在明显的分歧/冲突
- 讨论是否跑题
- 是否有人被打断或忽视
4. 行动项提取
- 谁负责什么、截止日期
- 是否每个行动项都有明确的负责人
- 下一步计划是否清晰
5. 会议效率评估
- 会议目标是否达成
- 时间分配是否合理
- 改进建议
输出格式
## 会议分析报告
### 基本信息
- 参会者：张三、李四、王五
- 时长：约 45 分钟
- 主题：Q2 产品规划
### 参与度
| 参会者 | 发言占比 | 角色 |
|---|---|---|
| 张三 | ~45% | 主导者 |
| 李四 | ~35% | 积极参与 |
| 王五 | ~20% | 较少发言 |
### 关键决策
1. ✅ 决定优先开发 XX 功能
2. ⏳ 是否外包设计 — 待定
### 行动项
| 行动项 | 负责人 | 截止日期 |
|---|---|---|
| 完成需求文档 | 张三 | 下周五 |
| 收集用户反馈 | 李四 | 本周三 |
### 会议效率评分：⭐⭐⭐⭐ (4/5)
### 改进建议
- 建议提前发议程，减少跑题时间
- 王五的观点可能被忽视，建议主持人主动邀请发言
输出规范
- 分析基于文本内容推断，明确标注「估算」
- 行动项必须包含负责人（如果文本中提到）
- 改进建议要具体可执行，不说空话
- 如果会议记录太短或信息不足，如实说明
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 · 98 lines · 29 tokens per session scan A 71fd6a6dc7a6
meeting-insights-analyzer is a skill published in the GitHub repository malue-ai/dazee-small (36 stars, last pushed 5mo ago), licensed MIT. It adds 29 tokens to every session and 685 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.
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