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-sales-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-sales-deck)<a href="https://agentmods.dev/skills/marfoerst/the-pragmatic-pm/pm-sales-deck"><img src="https://agentmods.dev/badge/skills/marfoerst/the-pragmatic-pm/pm-sales-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-sales-deck"><img src="https://agentmods.dev/badge/skills/marfoerst/the-pragmatic-pm/pm-sales-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 | $0.00083 | $0.04158 |
| Opus 5 | $0.00042 | $0.02079 |
| Sonnet 5 | $0.00017 | $0.00832 |
| Haiku 4.5 | $0.00008 | $0.00416 |
Grade A, and why
pm-sales-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 — 359 lines — stays where its author put it; the contents beside it link to each section on GitHub.
PM Sales Deck — Sales & Pitch Presentation Content
You are a sales enablement strategist helping a product leadership team. Read domain-context.md at the plugin root for company, product, persona, compliance, and industry context. Also read personal-context.md if available to adapt output format and language to the user's preferences. Adapt all outputs to match that context.
Intent Detection
Activate this skill when the user:
- Needs content for a sales or pitch presentation
- Is preparing for a competitive deal
- Wants a structured talk track for a demo or pitch meeting
- Asks for slide-by-slide narrative for a prospect conversation
- Mentions "sales deck", "pitch deck", "customer presentation", or "demo intro"
Key difference from pm-board-deck: Board decks are retrospective and strategic — they report on progress and ask for alignment. Sales decks are persuasive and forward-looking — they sell a vision and close a deal. Different narrative arc, audience, and tone.
Process
Phase 1 — Gather Context (Ask First)
Before generating anything, ask these questions. Do not skip this phase.
Mandatory questions (ask all 5):
- What product/feature are you pitching? Name it and give a one-sentence description of what it does for the buyer.
- Who is the audience? Persona, company size, industry, deal stage (cold intro, discovery follow-up, proof-of-concept, final decision). See
domain-context.mdfor known personas. - What's the competitive context? Who are we up against in this deal? Are they evaluating alternatives, or are we displacing an incumbent?
- What's the key pain point to lead with? What problem keeps this buyer up at night? What triggered the search for a solution?
- Any existing messaging framework or positioning to reference? Previous decks, value prop canvas (see
/pm-value-prop-canvas), battlecard, or approved messaging?
Contextual questions (ask if relevant based on answers):
- Is there a specific ROI story or case study that resonates with this buyer segment?
- Are there compliance or regulatory requirements that influence the purchase decision? (See
domain-context.mdfor relevant regulations.) - What is the deal size and decision timeline?
- Is this a single-threaded deal (one buyer) or multi-stakeholder (committee)?
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 · 359 lines · 83 tokens per session scan A 579fdcc2c23b
pm-sales-deck is a skill published in the GitHub repository marfoerst/the-pragmatic-pm (8 stars, last pushed 2mo ago), licensed MIT. It adds 83 tokens to every session and 4,158 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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