meetings-debrief

meetings-debrief is a skill for Claude Code from flonat/flonat-research. It costs 71 tokens per session (1,793 once invoked), scanned B, original, MIT.

A post-meeting review that reads a recent recording and compares it with your preparation notes when available. It highlights decisions, action items, discussion points, and how plans changed.

In plain words
What is it for?
Use it to review a meeting, identify agreed actions, compare outcomes with your preparation, and track changing decisions.
Why use it?
It helps reconstruct what happened after a call and reduces the chance that decisions or follow-up work are forgotten.

Skill for Claude Code

Written for Claude Code: user-invocable in frontmatter.

Good fit Use it to review a meeting, identify agreed actions, compare outcomes with your preparation, and track changing decisions.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/flonat/flonat-research/meetings-debrief
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-debrief
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-debrief

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

Your own site · 80×15
<a href="https://agentmods.dev/skills/flonat/flonat-research/meetings-debrief"><img src="https://agentmods.dev/badge/skills/flonat/flonat-research/meetings-debrief.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 71 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,793 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: 2 findings, up to medium

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 →

  • medium Rogue Agent · line 152
    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 190
    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 $0.00071 $0.01793
Opus 5 $0.00036 $0.00897
Sonnet 5 $0.00014 $0.00359
Haiku 4.5 $0.00007 $0.00179

Measured 7d ago against content hash ec20ddf7ee93, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-11, from the pricing page.

Security

Grade B, and why

meetings-debrief 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 7d 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.

- Set permissions: `chmod 600`
skills/meetings-debrief/SKILL.md · 206 lines

How it starts

The opening of the file, as written. The whole thing — 206 lines — stays where its author put it; the contents beside it link to each section on GitHub.

meetings-debrief

Post-meeting analysis that reads your latest recording, compares what happened to what you planned, and surfaces decision evolution — so nothing falls through the cracks.

How it works

This is a multi-phase interactive flow. It connects to meetings-prep when a prep file exists, creating a before→after loop.

Phase 1: Find the most recent recording

minutes list --limit 5

Pick the most recent recording. If there are multiple from today, ask via the available structured-question mechanism: "You have [N] recordings today. Which one are you debriefing?" with options listing the titles.

If no recent recording exists: Say: "I don't see any recent recordings. Did you run minutes record and minutes stop? If the recording is from a specific meeting, tell me the title or date and I'll find it."

Don't proceed without a recording to debrief.

Phase 2: Read the transcript

Use Read on the meeting file path. Extract from the transcript and frontmatter:

  • Decisions made (from decisions: frontmatter or ## Decisions section)
  • Action items created (from action_items: frontmatter or ## Action Items section)
  • Key discussion points (from ## Summary or the transcript itself)
  • Attendees (from attendees: frontmatter)

Phase 3: Check for matching prep

Look for a prep file that matches this meeting:

ls ~/.minutes/preps/ 2>/dev/null

Match logic:

  1. Find .prep.md files from today or yesterday (within 48 hours)
  2. Read each file's person: frontmatter field
  3. Compare against the recording's attendees: list — match on first name
  4. If multiple preps match → the available structured-question mechanism to pick which one
  5. If no prep matches → standalone debrief (skip to 4.2)

Phase 4: Debrief

Two paths depending on whether Phase 3 found a matching prep file.

4.1 Prep-connected debrief (when a matching prep exists)

Read the prep file. Pull out the goal: field. Ask via the available structured-question mechanism:

Read the full file on GitHub · 206 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. 7d ago First seen · 206 lines · 71 tokens per session scan B ec20ddf7ee93

Subscribe to this mod's changes

meetings-debrief is a skill published in the GitHub repository flonat/flonat-research (133 stars, last pushed 16d ago), licensed MIT. It adds 71 tokens to every session and 1,793 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.

Related

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