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 nerdai/llm-agents-from-scratch --skill meeting-notes-summarizergit clone --depth 1 https://github.com/nerdai/llm-agents-from-scratchWrote 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/nerdai/llm-agents-from-scratch/meeting-notes-summarizer)<a href="https://agentmods.dev/skills/nerdai/llm-agents-from-scratch/meeting-notes-summarizer"><img src="https://agentmods.dev/badge/skills/nerdai/llm-agents-from-scratch/meeting-notes-summarizer/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/nerdai/llm-agents-from-scratch/meeting-notes-summarizer"><img src="https://agentmods.dev/badge/skills/nerdai/llm-agents-from-scratch/meeting-notes-summarizer.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 | $0.00034 | $0.00298 |
| Opus 5 | $0.00017 | $0.00149 |
| Sonnet 5 | $0.00007 | $0.00060 |
| Haiku 4.5 | $0.00003 | $0.00030 |
Grade A, and why
meeting-notes-summarizer 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 10d 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 Summarizer
Produce a summary of a meeting transcript provided by the user.
Steps
1. Ask for format preference
Call from_scratch__human_input with:
prompt: "What format would you like the summary in?"choices:["bullet-points", "prose"]
Record the response as format_preference.
2. Ask for detail level
Call from_scratch__human_input with:
prompt: "What level of detail?"choices:["brief", "detailed"]
Record the response as detail_preference.
3. Summarise
Produce a summary of the transcript according to the chosen format and detail level:
- bullet-points + brief: 3–5 top-level bullet points covering key decisions and action items only.
- bullet-points + detailed: Structured bullet points with sub-bullets covering all discussion topics, decisions, and action items.
- prose + brief: Two to three sentences capturing the meeting's purpose, key outcomes, and next steps.
- prose + detailed: Multiple paragraphs covering all discussion topics in narrative form, ending with action items and owners.
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.
- 10d ago First seen · 36 lines · 34 tokens per session scan A 624a8f2479c2
meeting-notes-summarizer is a skill published in the GitHub repository nerdai/llm-agents-from-scratch (186 stars, last pushed 2d ago), licensed Apache-2.0. It adds 34 tokens to every session and 298 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 2026-08-30.
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