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 shareAI-lab/lab-skills --skill meeting-coach-leadergit clone --depth 1 https://github.com/shareAI-lab/lab-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/shareai-lab/lab-skills/meeting-coach-leader)<a href="https://agentmods.dev/skills/shareai-lab/lab-skills/meeting-coach-leader"><img src="https://agentmods.dev/badge/skills/shareai-lab/lab-skills/meeting-coach-leader/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/shareai-lab/lab-skills/meeting-coach-leader"><img src="https://agentmods.dev/badge/skills/shareai-lab/lab-skills/meeting-coach-leader.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector pass
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 | $0.00075 | $0.01729 |
| Opus 5 | $0.00037 | $0.00864 |
| Sonnet 5 | $0.00015 | $0.00346 |
| Haiku 4.5 | $0.00007 | $0.00173 |
Grade A, and why
meeting-coach-leader 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 13d 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.
How it starts
The opening of the file, as written. The whole thing — 172 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Meeting Coach: Leader
Optimize meetings for truth, decisions, learning, and executable work. Do not confuse intensity, duration, or manager airtime with progress.
Choose the immediate need
- Prepare: decide what the meeting must accomplish, what should be pre-read, and which questions deserve synchronous time.
- Run: maintain a clear sequence, expose the real gap, make the required decision, and close with ownership.
- Review employee work: distinguish incomplete work, weak evidence, poor explanation, wrong scope, and unclear original expectations.
- Debrief recent meetings: find repeated low-bandwidth patterns and change the work or meeting system.
- Give feedback: be direct and specific without humiliation, vague reassurance, or absorbing the employee's responsibility.
Keep the default answer practical. Read manager-playbook.md for deeper feedback language and anti-patterns. Read templates.md only when a reusable agenda, review, or follow-up note would help.
Read the evidence in both directions
When recent meetings or transcripts are supplied, read the complete relevant corpus and trace:
- what previous work was being reviewed;
- what was accepted, rejected, or reconstructed live;
- what the manager expected explicitly and repeatedly;
- what the employee actually understood and delivered;
- which decisions were made;
- which issues merely consumed time;
- what changed for the next work cycle.
Prefer raw transcripts over AI-generated minutes when they conflict. Separate meeting claims, verified facts, inferences, and proposals. Do not diagnose personality or intent from one artifact.
Define the value of the meeting
Before planning an agenda, state one primary outcome:
- make a decision;
- review whether work is ready;
- resolve a specific disagreement;
- generate options;
- coach a work method;
- give performance feedback;
- coordinate owners and dependencies.
Avoid silently mixing all of them. If several are necessary, name the transition and allocate time deliberately.
What ships with it
3 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.
- 13d ago First seen · 172 lines · 75 tokens per session scan A 751275ce0fc3
meeting-coach-leader is a skill published in the GitHub repository shareAI-lab/lab-skills (314 stars, last pushed 17d ago), licensed Apache-2.0. It adds 75 tokens to every session and 1,729 once invoked, about $0.0004 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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