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 bam-bam-2/solo-skills --skill meeting-summarygit clone --depth 1 https://github.com/bam-bam-2/solo-skillsWrote 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/bam-bam-2/solo-skills/meeting-summary)<a href="https://agentmods.dev/skills/bam-bam-2/solo-skills/meeting-summary"><img src="https://agentmods.dev/badge/skills/bam-bam-2/solo-skills/meeting-summary/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/bam-bam-2/solo-skills/meeting-summary"><img src="https://agentmods.dev/badge/skills/bam-bam-2/solo-skills/meeting-summary.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector pass
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 | $0.00101 | $0.00542 |
| Opus 5 | $0.00051 | $0.00271 |
| Sonnet 5 | $0.00020 | $0.00108 |
| Haiku 4.5 | $0.00010 | $0.00054 |
Grade A, and why
meeting-summary 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 8d 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
회의록 요약
출력 형식
아래 형식을 반드시 준수한다:
## 📋 회의 개요
- 일시: (언급된 경우)
- 참석자: (언급된 경우)
- 주제: (한 줄)
## ✅ 핵심 결정사항
1. [결정 내용] — (결정 근거나 맥락이 있으면 괄호 안에 간략히)
2. ...
## 📌 액션아이템
| 담당자 | 할 일 | 기한 |
|--------|--------|------|
| 홍길동 | 보고서 초안 작성 | 2/28 |
| 미정 | 벤더 견적 취합 | 다음 주 금요일 |
## 💬 추가 논의 필요 사항 (선택)
- (결론 없이 끝난 안건이 있을 때만 포함)
작성 규칙
- 결정사항: 회의에서 확정된 사항만 포함. "검토하기로 했다", "논의했다"는 제외.
- 액션아이템: 담당자 + 할 일 + 기한을 최대한 명시. 담당자/기한 불명확 시 "미정"으로 표기.
- 간결하게: 원문을 그대로 옮기지 말고 핵심만 요약. 항목당 한두 줄 이내.
- 없으면 생략: 결정사항이나 액션아이템이 없는 섹션은 "없음"으로 표기하지 말고 해당 섹션 자체를 생략.
- 언어: 회의록 언어(한국어/영어 등)에 맞춰 동일 언어로 출력.
사용 예시
사용자가 회의록 텍스트를 붙여넣거나 파일을 제공하면 즉시 위 형식으로 요약을 출력한다. 추가 질문 없이 바로 요약 결과를 제공하는 것이 원칙이며, 내용이 불충분할 때만 간단히 안내한다.
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.
- 8d ago Changed · +1 lines c39eac6288b0
- 12d ago First seen · 44 lines · 101 tokens per session scan A 506b8c43ba3a
meeting-summary is a skill published in the GitHub repository bam-bam-2/solo-skills (363 stars, last pushed 9d ago), licensed MIT. It adds 101 tokens to every session and 542 once invoked, about $0.0005 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 2026-08-30.
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