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/dannyhoang249-hub/pm-vietnamese-skillWrote 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/commands/dannyhoang249-hub/pm-vietnamese-skill/meeting-notes)<a href="https://agentmods.dev/commands/dannyhoang249-hub/pm-vietnamese-skill/meeting-notes"><img src="https://agentmods.dev/badge/commands/dannyhoang249-hub/pm-vietnamese-skill/meeting-notes/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/commands/dannyhoang249-hub/pm-vietnamese-skill/meeting-notes"><img src="https://agentmods.dev/badge/commands/dannyhoang249-hub/pm-vietnamese-skill/meeting-notes.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 | $0.00030 | $0.00229 |
| Opus 5 | $0.00015 | $0.00114 |
| Sonnet 5 | $0.00006 | $0.00046 |
| Haiku 4.5 | $0.00003 | $0.00023 |
Grade A, and why
meeting-notes 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 12d 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
/meeting-notes — Chốt họp thành hành động
Ngôn ngữ | Language: Match the requester’s language. When asked for bilingual output, translate confirmed decisions and action items without changing names, dates, or commitments.
- Chỉ ghi nhận quyết định đã thực sự được chốt; tách đề xuất, ý kiến và câu hỏi chưa giải quyết.
- Trích xuất action item theo dạng động từ + kết quả, gán owner/hạn chỉ khi được nêu hoặc đánh dấu
Chưa rõ. - Ghi dependency, rủi ro, bất đồng và điều kiện thay đổi quyết định.
- Nếu transcript mơ hồ, không gán trách nhiệm hoặc cam kết chắc chắn.
- Trả về Decision record theo
references/templates-vi.md; mở đầu bằng tóm tắt ngắn các quyết định quan trọng nhất.
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.
- 12d ago First seen · 15 lines · 30 tokens per session scan A 27fd48fddbb8
meeting-notes is a command published in the GitHub repository dannyhoang249-hub/pm-vietnamese-skill (1 stars, last pushed 24d ago), licensed MIT. It adds 30 tokens to every session and 229 once invoked, about $0.0002 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 commands, from other repositories
debrief
Capture the meeting. Notes into the record.
prep
Prepare the meeting. One page from the record.
brain-fog-mode
Alias for foggy mode using the user's brain-fog wording.
burnout-mode
Alias for overloaded mode using the user's burnout wording.
overloaded-mode
Activate overloaded mode for the rest of the session.
firm
Convene your standing AI staff — memos on every beat, a board session without you, minutes with dissent preserved.