meeting-insights-analyzer

meeting-insights-analyzer is a skill for Claude Code, Codex from jjmartres/ai-coding-agents. It costs 56 tokens per session (2,274 once invoked), scanned A, a copy of meeting-insights-analyzer, MIT.

A meeting-analysis tool that reviews transcripts or recordings to find repeated communication habits, such as filler words, conflict avoidance, speaking balance, and missed listening opportunities.

In plain words
What is it for?
Use it to review your communication or leadership style, prepare for performance reviews, coach teammates, and track changes across multiple meetings.
Why use it?
It turns vague impressions about meetings into specific observations and examples that can guide improvement.

Skill for Claude CodeCodex

Written for no agent in particular: nothing here depends on one. Also seen: mentions Claude Code.

Good fit Use it to review your communication or leadership style, prepare for performance reviews, coach teammates, and track changes across multiple meetings.

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Install with agentmods
npx agentmods add skills/jjmartres/ai-coding-agents/meeting-insights-analyzer
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 jjmartres/ai-coding-agents --skill meeting-insights-analyzer
Clone the repo
git clone --depth 1 https://github.com/jjmartres/ai-coding-agents

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.

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README.md
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Your own site
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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.

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Your own site · 80×15
<a href="https://agentmods.dev/skills/jjmartres/ai-coding-agents/meeting-insights-analyzer"><img src="https://agentmods.dev/badge/skills/jjmartres/ai-coding-agents/meeting-insights-analyzer.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 56 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 2,274 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.
Origin 100% copy Near-identical to another mod 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 $0.00056 $0.02274
Opus 5 $0.00028 $0.01137
Sonnet 5 $0.00011 $0.00455
Haiku 4.5 $0.00006 $0.00227

Measured 11d ago against content hash d86cdb774237, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-11, from the pricing page.

Security

Grade A, and why

meeting-insights-analyzer 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 11d 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.

Origin

This is a copy

100% identical to meeting-insights-analyzer — 89 lines differ, which has more behind it and is treated as the original. This page carries a canonical link to it rather than competing with it.

shared/.ai-agents/skills/meeting-insights-analyzer/SKILL.md · 338 lines

How it starts

The opening of the file, as written. The whole thing — 338 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Meeting Insights Analyzer

This skill transforms your meeting transcripts into actionable insights about your communication patterns, helping you become a more effective communicator and leader.

When to Use This Skill

  • Analyzing your communication patterns across multiple meetings
  • Getting feedback on your leadership and facilitation style
  • Identifying when you avoid difficult conversations
  • Understanding your speaking habits and filler words
  • Tracking improvement in communication skills over time
  • Preparing for performance reviews with concrete examples
  • Coaching team members on their communication style

What This Skill Does

  1. Pattern Recognition: Identifies recurring behaviors across meetings like:

    • Conflict avoidance or indirect communication
    • Speaking ratios and turn-taking
    • Question-asking vs. statement-making patterns
    • Active listening indicators
    • Decision-making approaches
  2. Communication Analysis: Evaluates communication effectiveness:

    • Clarity and directness
    • Use of filler words and hedging language
    • Tone and sentiment patterns
    • Meeting control and facilitation
  3. Actionable Feedback: Provides specific, timestamped examples with:

    • What happened
    • Why it matters
    • How to improve
  4. Trend Tracking: Compares patterns over time when analyzing multiple meetings

How to Use

Basic Setup

  1. Download your meeting transcripts to a folder (e.g., ~/meetings/)
  2. Navigate to that folder in Claude Code
  3. Ask for the analysis you want

Quick Start Examples

Analyze all meetings in this folder and tell me when I avoided conflict.
Look at my meetings from the past month and identify my communication patterns.
Compare my facilitation style between these two meeting folders.

Advanced Analysis

Analyze all transcripts in this folder and:
1. Identify when I interrupted others
2. Calculate my speaking ratio
3. Find moments I avoided giving direct feedback
4. Track my use of filler words
5. Show examples of good active listening

Read the full file on GitHub · 338 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. 11d ago First seen · 338 lines · 56 tokens per session scan A d86cdb774237

Subscribe to this mod's changes

meeting-insights-analyzer is a skill published in the GitHub repository jjmartres/ai-coding-agents (45 stars, last pushed yesterday), licensed MIT. It adds 56 tokens to every session and 2,274 once invoked, about $0.0003 per session on Opus 5. A static security scan graded it A with 0 findings. It is 100% identical to meeting-insights-analyzer, differing in 89 lines, and is treated as a copy.

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