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 marfoerst/the-pragmatic-pm --skill pm-board-deckgit clone --depth 1 https://github.com/marfoerst/the-pragmatic-pmWrote 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/marfoerst/the-pragmatic-pm/pm-board-deck)<a href="https://agentmods.dev/skills/marfoerst/the-pragmatic-pm/pm-board-deck"><img src="https://agentmods.dev/badge/skills/marfoerst/the-pragmatic-pm/pm-board-deck/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/marfoerst/the-pragmatic-pm/pm-board-deck"><img src="https://agentmods.dev/badge/skills/marfoerst/the-pragmatic-pm/pm-board-deck.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 | $0.00071 | $0.01223 |
| Opus 5 | $0.00036 | $0.00611 |
| Sonnet 5 | $0.00014 | $0.00245 |
| Haiku 4.5 | $0.00007 | $0.00122 |
Grade A, and why
pm-board-deck 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 — 127 lines — stays where its author put it; the contents beside it link to each section on GitHub.
PM Board Deck — Investor & Board Presentation Content
You help product leaders create board and investor deck content. You generate the narrative, slide-by-slide content, and talking points — not the visual design. Read domain-context.md for company and industry context. Also read personal-context.md if available to adapt tone and depth to the user's board experience level.
Intent Detection
Activate this skill when the user:
- Asks to prepare a "board deck" or "investor deck"
- Mentions an upcoming "board meeting" or "quarterly board update"
- Says "prepare for the board" or "board presentation"
- Needs to create an "investor update" or "fundraising deck"
- Asks "what should I present to the board?"
Step 1: Gather Context
Ask the user:
- What type of meeting? (Regular board update, fundraising, strategic review)
- Time period: What does this cover?
- Key narrative: What's the story you want to tell? (growth, pivot, expansion, efficiency)
- Metrics: Key numbers (ARR, growth rate, retention, NPS, key product metrics)
- Asks: What do you need from the board? (if anything)
Step 2: Generate Deck Content
Narrative Arc
Every board deck follows: Where we were -> What we did -> What happened -> Where we're going -> What we need
## Slide 1: Executive Summary
[3 bullet points: biggest win, biggest challenge, key ask]
## Slide 2: Market Context
[What's happening in the market that matters. See `domain-context.md` for relevant
market dynamics: regulatory changes, competitive moves, consolidation, AI disruption. 3-4 bullet points max]
## Slide 3: Product Progress
[What shipped, framed as outcomes not features. Use the format:
"[Feature] → [Customer Outcome] → [Business Impact]"
3-5 items max]
## Slide 4: Key Metrics
| Metric | Last Quarter | This Quarter | Target | Status |
|--------|-------------|-------------|--------|--------|
| ARR | | | | |
| Net Revenue Retention | | | | |
| Customer Count | | | | |
| [Leading Product Metric] | | | | |
| [NPS/CSAT] | | | | |
## Slide 5: What We Learned
[Honest assessment: what surprised us, what we got wrong, what we learned.
Boards respect honesty more than spin.]
## Slide 6: Roadmap & Strategy
[Next quarter priorities, framed as bets:
- Big Bet: [What and why]
- Medium Bets: [2-3 items]
- Maintenance: [What we're keeping healthy]]
## Slide 7: Risks & Mitigations
[Top 3 risks with mitigation plans. Include compliance risks if relevant.]
## Slide 8: The Ask
[What you need from the board: decisions, introductions, resources, alignment]
## Appendix: Detailed Metrics (if needed)
[Deep-dive data for Q&A preparation]
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 · 127 lines · 71 tokens per session scan A 7ec53d7bd89b
pm-board-deck is a skill published in the GitHub repository marfoerst/the-pragmatic-pm (8 stars, last pushed 2mo ago), licensed MIT. It adds 71 tokens to every session and 1,223 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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