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 TheCraigHewitt/cowork-starter-pack --skill meeting-prepgit clone --depth 1 https://github.com/TheCraigHewitt/cowork-starter-packWrote 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/thecraighewitt/cowork-starter-pack/meeting-prep)<a href="https://agentmods.dev/skills/thecraighewitt/cowork-starter-pack/meeting-prep"><img src="https://agentmods.dev/badge/skills/thecraighewitt/cowork-starter-pack/meeting-prep/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/thecraighewitt/cowork-starter-pack/meeting-prep"><img src="https://agentmods.dev/badge/skills/thecraighewitt/cowork-starter-pack/meeting-prep.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 | $0.00074 | $0.01218 |
| Opus 5 | $0.00037 | $0.00609 |
| Sonnet 5 | $0.00015 | $0.00244 |
| Haiku 4.5 | $0.00007 | $0.00122 |
Grade A, and why
meeting-prep 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.
How it starts
The opening of the file, as written. The whole thing — 82 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Meeting Prep
Walk into every meeting knowing who you're talking to and why. Two minutes of reading instead of 20 minutes of panicky tab-opening.
Before starting
- Read
context/about-me.md— to frame the meeting from the user's side - Read
context/preferences.md— format defaults - Ask the user which meeting if it's not obvious. Calendar title is best; date + attendee name works.
- Check the project folder for any prior notes on this attendee or topic
What to produce
A markdown file saved to /output/meeting-prep-{YYYY-MM-DD}-{attendee-or-topic}.md with five sections:
- Who's in the room — attendee(s), their role, their company, anything notable from past interactions. One paragraph per person.
- Where we left off — the last time this person or topic came up. Pull from email threads, prior meeting notes, any project docs. Summarize. This is the most valuable section — it's the context the user forgot.
- What's likely on their mind — your read of what the attendee is probably coming to discuss, based on the thread, the calendar invite, any recent context. Hedge when you're guessing. Say "likely" not "will."
- What to ask or propose — 3 sharp questions or proposals for the user to drive the conversation with. Specific to this person and this context, not generic "what are your goals."
- Red flags / things to not miss — if there are open questions, pending decisions, or sensitive topics, list them. Include any prior commitments the user made to this person that haven't been fulfilled.
Inputs
- The calendar event (required — title, attendees, description)
- Email threads with the attendees in the last 90 days (via Gmail connector)
- Any prior meeting notes in the project folder or
/output/ - Any relevant project docs the user has referenced
How it works
- Get the meeting from the calendar — parse title, attendees, time, any linked docs
- For each external attendee, search email for the last 90 days — pull the most recent substantive thread
- Search the project folder for any prior mention of the person or the company
- Read prior meeting-prep or meeting-debrief files for this person if they exist
- Synthesize the five sections — keep each one tight
- Save the file, tell the user one-line what's most important ("Heads up — she emailed last week with an unresolved question about pricing. I've flagged it in red flags.")
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 · 82 lines · 74 tokens per session scan A 970811e76d99
meeting-prep is a skill published in the GitHub repository TheCraigHewitt/cowork-starter-pack (5 stars, last pushed 4mo ago), licensed MIT. It adds 74 tokens to every session and 1,218 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 2026-08-31.
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