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 | $0.00348 |
| Opus 5.5 | $0.00014 | $0.00139 |
| Sonnet 5.5 | $0.00007 | $0.00070 |
| Haiku 4.5 | $0.00003 | $0.00035 |
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 25d 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
Ask the two questions one at a time: call from_scratch__human_input
for step 1, wait for its answer, and only then call it for step 2. Never
request both answers in the same turn.
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.
- 25d ago Changed · +4 lines 70e1211632c6
- 2mo 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 (194 stars, last pushed yesterday), licensed Apache-2.0. It adds 34 tokens to every session and 348 once invoked, about $0.0001 per session on Opus 5.5. 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.
meeting-notes-summarizer compared with skills from other repositories
| Mod | Type | Stars | Last push | Licence | Scan | Tokens | Works with |
|---|---|---|---|---|---|---|---|
| meeting-notes-summarizernerdai/llm-agents-from-scratch | Skill | 194 | yesterday | Apache-2.0 | A | 34 | Claude Code, Codex |
| orbit-notionnexu-io/open-design | Skill | 106k | yesterday | Apache-2.0 | A | 117 | Claude Code, Codex |
| agentmailpaperclipai/paperclip | Skill | 111k | yesterday | MIT | A | 30 | Claude Code, Codex |
| Cortexdanielmiessler/LifeOS | Skill | 20k | yesterday | MIT | A | 184 | Claude Code |
| rowboat-spacesrowboatlabs/rowboat | Skill | 18k | yesterday | Apache-2.0 | A | 60 | Claude Code, Codex |
| feishuHmbown/CodeWhale | Skill | 41k | 5d ago | MIT | A | 33 | Claude Code, Codex |
| pinchtab-mcppinchtab/pinchtab | Skill | 11k | 10d ago | MIT | A | 52 | Claude Code, Codex |