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 vadimcomanescu/codex-skills --skill meeting-insights-analyzergit clone --depth 1 https://github.com/vadimcomanescu/codex-skillsWrote 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/vadimcomanescu/codex-skills/meeting-insights-analyzer)<a href="https://agentmods.dev/skills/vadimcomanescu/codex-skills/meeting-insights-analyzer"><img src="https://agentmods.dev/badge/skills/vadimcomanescu/codex-skills/meeting-insights-analyzer/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/vadimcomanescu/codex-skills/meeting-insights-analyzer"><img src="https://agentmods.dev/badge/skills/vadimcomanescu/codex-skills/meeting-insights-analyzer.svg" alt="Reviewed on agentmods" width="80" height="20"></a>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 | $0.00056 | $0.00267 |
| Opus 5 | $0.00028 | $0.00133 |
| Sonnet 5 | $0.00011 | $0.00053 |
| Haiku 4.5 | $0.00006 | $0.00027 |
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.
What it actually says
Meeting Insights Analyzer
Turn transcripts into concrete, actionable communication feedback.
Quick Start
- Confirm scope (which meetings, time range, goal).
- Summarize patterns and provide timestamped examples.
- Offer 2–3 improvement actions with measurable goals.
Analysis Focus Areas
- Speaking ratio and turn-taking
- Clarity vs. hedging/filler words
- Conflict avoidance or indirect feedback
- Active listening signals (summaries, questions)
- Facilitation behaviors (agenda control, decisions)
Output Format
- Summary: 3–5 key patterns
- Examples: timestamped quotes for each pattern
- Action plan: 2–3 targeted improvements
- Trends (if multiple meetings): what changed over time
Guardrails
- Ask permission before analyzing sensitive content.
- Anonymize others if requested.
- Avoid psychoanalysis; stick to observable behaviors.
References
- Extended examples:
references/examples.md
What ships with it
2 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.
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.
- 11d ago First seen · 36 lines · 56 tokens per session scan A 13c5ba4ee4be
meeting-insights-analyzer is a skill published in the GitHub repository vadimcomanescu/codex-skills (24 stars, last pushed 7mo ago), licensed MIT. It adds 56 tokens to every session and 267 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.
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