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 jezweb/vite-flare-starter --skill meeting-notesgit clone --depth 1 https://github.com/jezweb/vite-flare-starterWrote 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/jezweb/vite-flare-starter/meeting-notes)<a href="https://agentmods.dev/skills/jezweb/vite-flare-starter/meeting-notes"><img src="https://agentmods.dev/badge/skills/jezweb/vite-flare-starter/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/skills/jezweb/vite-flare-starter/meeting-notes"><img src="https://agentmods.dev/badge/skills/jezweb/vite-flare-starter/meeting-notes.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 | $0.00059 | $0.00672 |
| Opus 5 | $0.00030 | $0.00336 |
| Sonnet 5 | $0.00012 | $0.00134 |
| Haiku 4.5 | $0.00006 | $0.00067 |
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 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.
How it starts
The opening of the file, as written. The whole thing — 55 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Meeting notes from audio
When to use
The user provides a meeting recording (audio file attachment or an existing audio file in their filesystem) and wants structured notes — not a verbatim transcript.
Examples:
- "Summarise this meeting recording"
- "Get me the action items from this call"
- "Turn [audio.mp3] into meeting notes"
Steps
-
Transcribe. Call
transcribe_audiowith the audio source (attachment bytes or file path). The tool auto-detects language. -
Structure the notes. Write a concise markdown document with these sections. Omit sections that have no content — don't leave empty headings.
# {Title or "Meeting notes"} — {date}## Attendees— names mentioned; mark ones you're unsure about with(?)## Summary— 2-3 sentences: what was the meeting for, what got decided## Discussion— bullet list of the main topics covered, one line each## Decisions— numbered list of concrete decisions with context## Action items—- [ ] {action} — {owner} ({due date if mentioned})## Open questions— things raised but not resolved## Follow-ups— items deferred to a future meeting
-
Save to the user's filesystem. Call
fs_writewithpath: "meetings/{YYYY-MM-DD}-{slug}.md"and the content. Use today's date unless the meeting clearly happened on a different day (mentioned in the audio). -
Show the result inline. Render the notes in chat so the user can scan them without opening the file. Add a note of where you saved it (
users/<you>/meetings/...). -
Offer follow-ups. Use
offer_choices:- "Email me these notes"
- "Generate a Word doc from this"
- "Add action items to my todo list"
- "Extract decisions as a CSV"
Style
- Prefer paraphrasing over verbatim quotes — meeting notes are summaries.
- Use tense consistent with the meeting (past for decisions, present for action items).
- Be specific about owners — "Jez" is better than "someone".
- If a dollar figure, date, or number is mentioned, include it exactly.
- Action items as checkboxes so the user can tick them off directly.
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 · 55 lines · 59 tokens per session scan A 2c3818b974f1
meeting-notes is a skill published in the GitHub repository jezweb/vite-flare-starter (48 stars, last pushed 15d ago), licensed MIT. It adds 59 tokens to every session and 672 once invoked, about $0.0003 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.
Other skills, from other repositories
orbit-notion
Open Orbit briefing skill — selected by the Orbit pipeline when Notion is the user's only connected connector, or when the user explicitly scopes their daily digest to Notion. Pulls the past 24 hours of document edits, comments, mentions, and database row changes from the user's authenticated Notion connection and…
instrument-data-to-allotrope
Convert laboratory instrument output files (PDF, CSV, Excel, TXT) to Allotrope Simple Model (ASM) JSON format or flattened 2D CSV. Use this skill when scientists need to standardize instrument data for LIMS systems, data lakes, or downstream analysis. Supports auto-detection of instrument types. Outputs include full…
baoyu-youtube-transcript
A tool for downloading the written captions, subtitles, chapter information, speaker labels, and cover image from a YouTube video using its URL or ID.
feishu
Work with Feishu or Lark bots, docs, sheets, bitables, approval flows, and OpenAPI/MCP setup without hardcoding credentials.
read
Reads URLs and PDFs by fetching source content, defaulting to concise summaries for plain read requests and clean Markdown when asked to convert, save, quote, cite, or feed downstream work. Use when users ask in any language to read, fetch, check, summarize, quote, cite, convert, or save a URL or PDF. Not for local…
overleaf-sync
A two-way connection between a local paper folder and Overleaf, a web-based LaTeX editor for writing research papers. It lets you move changes between the local files and the shared Overleaf project.