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 redhuntlabs/wizard --skill preparing-for-a-meetinggit clone --depth 1 https://github.com/redhuntlabs/wizardWrote 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/redhuntlabs/wizard/preparing-for-a-meeting)<a href="https://agentmods.dev/skills/redhuntlabs/wizard/preparing-for-a-meeting"><img src="https://agentmods.dev/badge/skills/redhuntlabs/wizard/preparing-for-a-meeting/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/redhuntlabs/wizard/preparing-for-a-meeting"><img src="https://agentmods.dev/badge/skills/redhuntlabs/wizard/preparing-for-a-meeting.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 | $0.00032 | $0.00884 |
| Opus 5 | $0.00016 | $0.00442 |
| Sonnet 5 | $0.00006 | $0.00177 |
| Haiku 4.5 | $0.00003 | $0.00088 |
Grade A, and why
preparing-for-a-meeting 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 9d 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 — 109 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Preparing for a Meeting
What this does
Generates a 60-second-readable brief you scan before the meeting starts. Three things you must know, two things to mention, three questions you could ask.
When to use
- Any meeting where you need to walk in able to talk substance
- 1:1s where you want to follow up on prior threads
- Customer calls where the client's recent context matters
- Interviews (yours or theirs)
What you bring (Inputs)
- Meeting topic or attendees
- Meeting purpose (intro / sale / interview / review / decision / other)
- Time available to prep (5-30 min)
What you get (Output)
A one-screen brief with: TLDR, Key facts, Things to mention, Questions to ask.
How it works (Steps)
This is a simple workflow.
Stages
Stage 1: Identify the must-know facts
Three things you'd be embarrassed not to know in this meeting. Examples: their company's recent news, their last interaction with you, the current state of the project being discussed.
Stage 2: Find each fact (with source)
For each must-know, find the answer and note the source so you could verify mid-meeting if asked.
Stage 3: Pick 2 things to mention
Specific things from prior interactions or recent context that the other party would notice and appreciate. Avoids generic "great chat last time" filler.
Stage 4: Generate 3 questions
Open-ended questions you could ask. Specific to the context, not generic ("what are your priorities?").
Stage 5: Format
TLDR (1 sentence) / Key facts (3 bullets with sources) / Things to mention (2 bullets) / Questions to ask (3 bullets).
Checkpoints
- After Stage 1: 3 must-knows identified
- After Stage 2: every must-know has an answer with a source
- After Stage 3: things-to-mention reference recent / specific / non-obvious info
- After Stage 4: questions are open-ended and specific
- After Stage 5: brief fits on one screen
Loop-back conditions
Return to Stage 1 if research reveals a must-know you missed.
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.
- 9d ago First seen · 109 lines · 32 tokens per session scan A e37b25d43ad4
preparing-for-a-meeting is a skill published in the GitHub repository redhuntlabs/wizard (9 stars, last pushed 4mo ago), licensed MIT. It adds 32 tokens to every session and 884 once invoked, about $0.0002 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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