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 leecyno1/boutique-skills --skill anthropic-fs-private-equity-dd-meeting-prepgit clone --depth 1 https://github.com/leecyno1/boutique-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/leecyno1/boutique-skills/anthropic-fs-private-equity-dd-meeting-prep)<a href="https://agentmods.dev/skills/leecyno1/boutique-skills/anthropic-fs-private-equity-dd-meeting-prep"><img src="https://agentmods.dev/badge/skills/leecyno1/boutique-skills/anthropic-fs-private-equity-dd-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/leecyno1/boutique-skills/anthropic-fs-private-equity-dd-meeting-prep"><img src="https://agentmods.dev/badge/skills/leecyno1/boutique-skills/anthropic-fs-private-equity-dd-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 | $0.00084 | $0.00971 |
| Opus 5 | $0.00042 | $0.00485 |
| Sonnet 5 | $0.00017 | $0.00194 |
| Haiku 4.5 | $0.00008 | $0.00097 |
Grade A, and why
dd-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 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.
This is a copy
100% identical to dd-meeting-prep — 0 lines differ, which has more behind it and is treated as the original. This page carries a canonical link to it rather than competing with it.
How it starts
The opening of the file, as written. The whole thing — 104 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Diligence Meeting Prep
Workflow
Step 1: Meeting Context
Ask the user for:
- Meeting type: Management presentation, expert call, customer reference, advisor check-in, site visit
- Attendees: Who from the target company or third party
- Topic focus: Full business overview, or specific workstream (financial, commercial, operational, tech)
- What you already know: Prior meetings, CIM, data room findings
- Key concerns: Specific issues to probe
Step 2: Generate Question List
Organize questions by priority and topic. Structure depends on meeting type:
Management Presentation
Business Overview (warm-up)
- Walk us through the founding story and key milestones
- How do you describe the business to someone unfamiliar with the space?
- What are you most proud of? What would you do differently?
Revenue & Growth
- Walk us through revenue by customer/segment/geography
- What's driving growth? Price vs. volume vs. new customers
- What does the sales cycle look like? How has win rate trended?
- Where do you see the biggest growth opportunities in the next 3-5 years?
Competitive Positioning
- Who do you lose deals to and why?
- What's your moat? How defensible is it?
- How do customers evaluate you vs. alternatives?
Operations & Team
- Walk us through the org chart — who are the key people?
- What roles are you hiring for? What's been hardest to fill?
- What keeps you up at night operationally?
Financial Deep-Dive
- Walk us through the margin bridge — what's changed and why?
- Any one-time or non-recurring items we should understand?
- How do you think about capex — maintenance vs. growth?
- Working capital seasonality?
Forward Look
- Walk us through the budget/plan for next year
- What assumptions are you most/least confident in?
- What would need to go right/wrong to significantly beat/miss plan?
Expert Network Call
- How do you view [company]'s positioning in the market?
- What are the secular trends driving this space?
- Who are the strongest competitors and why?
- What risks should an investor be aware of?
- If you were buying this business, what would you diligence most carefully?
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 · 104 lines · 84 tokens per session scan A a74eecadece7
dd-meeting-prep is a skill published in the GitHub repository leecyno1/boutique-skills (5 stars, last pushed today), licensed MIT. It adds 84 tokens to every session and 971 once invoked, about $0.0004 per session on Opus 5. A static security scan graded it A with 0 findings. It is 100% identical to dd-meeting-prep, differing in 0 lines, and is treated as a copy.
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