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 bestagentkits/agency-skills --skill board-prepgit clone --depth 1 https://github.com/bestagentkits/agency-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/bestagentkits/agency-skills/board-prep)<a href="https://agentmods.dev/skills/bestagentkits/agency-skills/board-prep"><img src="https://agentmods.dev/badge/skills/bestagentkits/agency-skills/board-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/bestagentkits/agency-skills/board-prep"><img src="https://agentmods.dev/badge/skills/bestagentkits/agency-skills/board-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 | $0.00077 | $0.01480 |
| Opus 5 | $0.00039 | $0.00740 |
| Sonnet 5 | $0.00015 | $0.00296 |
| Haiku 4.5 | $0.00008 | $0.00148 |
Grade A, and why
board-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 — 157 lines — stays where its author put it; the contents beside it link to each section on GitHub.
/em:board-prep — Board Meeting Preparation
Command: /em:board-prep <agenda>
Prepare for the adversarial version of your board, not the friendly one. Every hard question they'll ask. Every number you need cold. The narrative that acknowledges weakness without losing the room.
The Reality of Board Meetings
Your board members have seen 50+ companies. They've watched founders flinch at their own numbers, spin bad news as "learning opportunities," and present sanitized decks that hide what's actually happening.
They know when you're not being straight with them. The question isn't whether they'll ask the hard questions — it's whether you're ready for them.
The best board meetings aren't the ones where everything looks good. They're the ones where the CEO demonstrates they see reality clearly, have a plan, and can execute under pressure.
The Preparation Framework
Phase 1: Numbers Cold
Before the meeting, every number in your deck should live in your head, not just the slide.
The numbers you must know without looking:
- Current MRR / ARR and month-over-month growth rate
- Burn rate (monthly) and runway (months at current burn)
- Headcount by department
- CAC and LTV by channel / segment
- Net Revenue Retention
- Pipeline: value, conversion rate, average sales cycle
- Churn: rate, top reasons, top churned accounts
- Gross margin (product), net margin (company)
- Key hiring positions open and time-to-fill
Stress test yourself: Can you answer "what's your burn?" without hesitation? "What's your churn rate by segment?" If you pause, you don't know it.
Phase 2: Anticipate the Hard Questions
For every item on the agenda, generate the adversarial version of the question.
Standard adversarial questions by topic:
Revenue performance:
- "You missed revenue by 20% this quarter. What specifically failed?"
- "Is this a pipeline problem, a conversion problem, or a capacity problem?"
- "If you missed because of one big deal, how dependent is your model on individual deals?"
- "When do you project recovery and what are the leading indicators you're right?"
What ships with it
1 file 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 · 157 lines · 77 tokens per session scan A 7514ad76e5d0
board-prep is a skill published in the GitHub repository bestagentkits/agency-skills (11 stars, last pushed 2mo ago), licensed MIT. It adds 77 tokens to every session and 1,480 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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