remember-meetings

remember-meetings is a skill for Claude Code, Codex from markmhendrickson/neotoma. It costs 23 tokens per session (688 once invoked), scanned A, original, MIT.

A tool for importing meeting transcripts and extracting decisions, action items, attendees, and commitments into persistent memory. Transcripts may come from meeting software or ordinary text and subtitle files.

In plain words
What is it for?
Use it to process VTT, SRT, TXT, Markdown, or JSON transcripts from Zoom, Otter, Google Meet, or manual notes.
Why use it?
It keeps outcomes and responsibilities from disappearing after a meeting. Important follow-ups can be recalled without rereading the full transcript.

Skill for Claude CodeCodex

Written for no agent in particular: nothing here depends on one.

Good fit Use it to process VTT, SRT, TXT, Markdown, or JSON transcripts from Zoom, Otter, Google Meet, or manual notes.

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Install with agentmods
npx agentmods add skills/markmhendrickson/neotoma/remember-meetings
Install

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.

Any agent
npx skills add markmhendrickson/neotoma --skill remember-meetings
Clone the repo
git clone --depth 1 https://github.com/markmhendrickson/neotoma

Made for: Claude Code, Codex.

Wrote 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.

agentmods badge for remember-meetings

README.md
[![agentmods](https://agentmods.dev/badge/skills/markmhendrickson/neotoma/remember-meetings/github.svg)](https://agentmods.dev/skills/markmhendrickson/neotoma/remember-meetings)
Your own site
<a href="https://agentmods.dev/skills/markmhendrickson/neotoma/remember-meetings"><img src="https://agentmods.dev/badge/skills/markmhendrickson/neotoma/remember-meetings/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.

agentmods 80×15 button for remember-meetings

Your own site · 80×15
<a href="https://agentmods.dev/skills/markmhendrickson/neotoma/remember-meetings"><img src="https://agentmods.dev/badge/skills/markmhendrickson/neotoma/remember-meetings.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 23 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 688 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe. Third-party audits
  • NVIDIA SkillSpector pass 7 Sept 2026
How audits are shown
Origin original No closer match found in the catalogue.
Token cost

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.

ModelPer sessionOnce invoked
Fable 5.1 $0.00023 $0.00688
Opus 5 $0.00012 $0.00344
Sonnet 5 $0.00005 $0.00138
Haiku 4.5 $0.00002 $0.00069

Measured 5d ago against content hash 6d5b0bf7276d, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-09, from the pricing page.

Security

Grade A, and why

remember-meetings 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 5d 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.

skills/remember-meetings/SKILL.md · 87 lines

How it starts

The opening of the file, as written. The whole thing — 87 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Remember Meetings

Ingest meeting transcripts and extract structured entities — decisions, action items, attendees, and commitments — into Neotoma memory with full provenance.

When to use

When the user has meeting transcripts (from Zoom, Otter, Google Meet, or manual notes) and wants to capture the decisions, action items, and participants in durable memory.

Prerequisites

Run the ensure-neotoma skill first if Neotoma is not yet installed or configured in your current harness.

Supported formats

Format Extension Source
WebVTT .vtt Zoom, Google Meet
SubRip .srt Zoom, various
Plain text .txt Otter, manual
Markdown .md Manual, meeting notes apps
JSON .json Structured exports

Workflow

Phase 0: Verify Neotoma

Confirm Neotoma MCP is connected (call get_session_identity).

Phase 1: Identify transcripts

  1. Ask the user for the transcript file(s) or directory.
  2. Detect the format from the file extension.
  3. If a calendar MCP is available, optionally cross-reference with calendar events to enrich metadata (meeting title, attendees, time).

Phase 2: Parse and preview

  1. Read each transcript file.
  2. Parse speaker turns, timestamps, and content.
  3. Present a preview: meeting date, duration, participants detected, key topics.
  4. Ask the user to confirm before processing.

Phase 3: Extract entities

For each meeting:

  1. Event: create a meeting event entity with title, date, duration, attendees.
  2. Contacts: extract attendees as contacts (name, role if mentioned).
  3. Decisions: identify conclusions, agreements, choices made during the meeting.
  4. Tasks: extract action items with assignee, description, and deadline if stated.
  5. Notes: capture key discussion points that don't fit other entity types.

Set source_file to the transcript filename. Include source_quote on each extracted entity with the verbatim transcript snippet that supports it.

Read the full file on GitHub · 87 lines

Changes

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.

  1. 5d ago First seen · 87 lines · 23 tokens per session scan A 6d5b0bf7276d

Subscribe to this mod's changes

remember-meetings is a skill published in the GitHub repository markmhendrickson/neotoma (32 stars, last pushed today), licensed MIT. It adds 23 tokens to every session and 688 once invoked, about $0.0001 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 2026-09-03.

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