meetings-prep

meetings-prep is a skill for Claude Code from flonat/flonat-research. It costs 74 tokens per session (2,122 once invoked), scanned B, original, MIT.

An interactive meeting-preparation tool that reviews your past conversations with a person and creates a relationship brief with talking points.

In plain words
What is it for?
Use it to prepare for a meeting, review prior discussions, and decide what to raise with the other person.
Why use it?
It helps you recover relevant history and open questions before a call instead of relying on memory.

Skill for Claude Code

Written for Claude Code: user-invocable in frontmatter.

Good fit Use it to prepare for a meeting, review prior discussions, and decide what to raise with the other person.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/flonat/flonat-research/meetings-prep
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 flonat/flonat-research --skill meetings-prep
Clone the repo
git clone --depth 1 https://github.com/flonat/flonat-research

Made for: Claude Code.

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 meetings-prep

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

Your own site · 80×15
<a href="https://agentmods.dev/skills/flonat/flonat-research/meetings-prep"><img src="https://agentmods.dev/badge/skills/flonat/flonat-research/meetings-prep.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 74 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 2,122 The whole file, excluding the scripts and references it only reads on demand.
Security scan B 1 finding. A grade says what 26 rules found in the file — not that it is safe. Third-party audits
  • NVIDIA SkillSpector warn 7 Sept 2026
SkillSpector: 3 findings, up to high

These are SkillSpector’s own severities. On a checked sample its high-severity flags on skills were ~96% false positives — a documented command, a public API, a “never do X” rule — so we show them as a caution to read, not a verdict. Why →

  • high Anti-Refusal · line 191
    Skill instructs the agent to omit warnings, disclaimers, or ethical commentary. Stripping safety caveats hides risk from the user and is a common jailbreak preamble.
    Fix: Remove instructions that suppress warnings, disclaimers, or ethical commentary. Let the agent surface safety-relevant caveats to the user.
  • medium Rogue Agent · line 141
    Skill establishes unauthorized persistence across sessions via cron jobs, startup scripts, or state files. Session persistence allows an attacker to maintain access beyond the current interaction.
    Fix: Remove any persistence mechanisms (cron jobs, startup scripts, state files). Skills should not maintain state across sessions without explicit user consent.
  • medium Privilege Escalation · line 166
    Commands invoke sudo or root privileges. Verify this elevated access is necessary and justified.
    Fix: Avoid sudo/root unless strictly required. Prefer least-privilege patterns. If elevation is needed, document the justification and scope.
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 $0.00074 $0.02122
Opus 5 $0.00037 $0.01061
Sonnet 5 $0.00015 $0.00424
Haiku 4.5 $0.00007 $0.00212

Measured 8d ago against content hash 6b294296d2c4, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-11, from the pricing page.

Security

Grade B, and why

meetings-prep scanned grade B with 1 finding 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 8d 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.

Asks for rootmediumPrivilege escalation

A mod that escalates privileges can change anything on the machine, not only the project.

chmod 600 ~/.minutes/preps/YYYY-MM-DD-{slug}.prep.md
skills/meetings-prep/SKILL.md · 196 lines

How it starts

The opening of the file, as written. The whole thing — 196 lines — stays where its author put it; the contents beside it link to each section on GitHub.

meetings-prep

Interactive meeting preparation that searches your entire conversation history with someone, synthesizes a relationship brief, and produces talking points — before you walk into the room.

How it works

This is a multi-phase interactive flow, not a single command. Walk the user through each phase using the available structured-question mechanism, pushing back on vague answers.

Phase 0: Calendar auto-detect (optional, runs first)

Before asking who the user is meeting with, check if upcoming meetings are available from any calendar source. Try these in order — use the first that works:

1. Calendar connector (preferred): If the active client has a calendar connector, use its list-events operation to query today's remaining events:

gcal_list_events(
  timeMin: "<now ISO, e.g. 2026-03-19T14:00:00>",
  timeMax: "<end of day, e.g. 2026-03-19T23:59:59>",
  condenseEventDetails: false
)

Do NOT hardcode a timezone — let the connector use the user's calendar default. Parse attendees, event titles, and times to find the next upcoming meeting with other people (skip all-day events and events with no attendees).

2. gog CLI (if installed):

gog calendar list --today --json -a <account> 2>/dev/null

3. Apple Calendar (osascript) (every Mac, zero install):

osascript -e 'tell application "Calendar" to get {summary, start date} of (every event of every calendar whose start date >= (current date) and start date < ((current date) + 1 * days))'

4. None available — skip to Phase 1 and ask manually.

If upcoming meetings are found: Present via the available structured-question mechanism: "I see you have these meetings coming up today:

  • [time] — [title] with [attendees]
  • [time] — [title] with [attendees]

Which one are you prepping for?"

Options: list each meeting + "None of these — I want to prep for something else"

If the user picks a meeting, auto-populate the person name and skip Phase 1. Pull attendee names from the calendar event directly.

Read the full file on GitHub · 196 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. 8d ago First seen · 196 lines · 74 tokens per session scan B 6b294296d2c4

Subscribe to this mod's changes

meetings-prep is a skill published in the GitHub repository flonat/flonat-research (133 stars, last pushed 16d ago), licensed MIT. It adds 74 tokens to every session and 2,122 once invoked, about $0.0004 per session on Opus 5. A static security scan graded it B with 1 finding (asks for root). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-09-03.