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-workergit 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-worker)<a href="https://agentmods.dev/skills/shareai-lab/lab-skills/meeting-coach-worker"><img src="https://agentmods.dev/badge/skills/shareai-lab/lab-skills/meeting-coach-worker/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-worker"><img src="https://agentmods.dev/badge/skills/shareai-lab/lab-skills/meeting-coach-worker.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 | $0.00076 | $0.02019 |
| Opus 5 | $0.00038 | $0.01009 |
| Sonnet 5 | $0.00015 | $0.00404 |
| Haiku 4.5 | $0.00008 | $0.00202 |
Grade A, and why
meeting-coach-worker 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 12d 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 — 215 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Meeting Coach: Worker
Help the worker turn meetings into better work instead of maintaining a process system. Keep the default interaction simple.
Choose the immediate need
Support four common requests:
- After a meeting: tell me what was decided, what the manager really expects, and what I should do next.
- Review the latest work: use the manager's questions, corrections, acceptance, and rejection in the latest meeting to diagnose what was wrong or effective in the previous work.
- During work: inspect my current work, identify drift and missing evidence, and recommend the next highest-value action.
- Before a meeting: decide whether the work is ready to report and prepare a concise report plus likely questions.
- Across several meetings: identify repeated expectations, bad cases, good cases, meeting-quality problems, and the actual work for the coming days.
Do not force the user through stages. Infer the mode from the request and produce the smallest useful answer.
Read expectation-rubric.md when diagnosing repeated delivery problems or giving coaching. Read templates.md only when a reusable written artifact would help.
Read the evidence
- Preserve every explicitly supplied file and read the complete relevant corpus.
- Prefer raw transcripts over AI-generated minutes when they conflict.
- Distinguish:
- what a participant said;
- what the meeting decided;
- what is verified outside the meeting;
- what is still an assumption or unknown.
- Trace repeated manager questions and corrections across meetings. Repetition usually reveals a stable expectation.
- Cite the meeting or artifact behind consequential conclusions.
Do not infer personality, intelligence, or intent. Describe observable work behavior and its effect.
Answer five practical questions
For most tasks, answer these directly:
- What decision or result is the work supposed to support?
- What does the manager actually expect to see?
- What has been delivered, and what is still missing or off track?
- What should the employee do next, in priority order?
- Is the work ready to report, and how should it be presented?
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.
- 12d ago First seen · 215 lines · 76 tokens per session scan A a3618876d064
meeting-coach-worker is a skill published in the GitHub repository shareAI-lab/lab-skills (314 stars, last pushed 16d ago), licensed Apache-2.0. It adds 76 tokens to every session and 2,019 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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