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-ai-pricinggit 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-ai-pricing)<a href="https://agentmods.dev/skills/marfoerst/the-pragmatic-pm/pm-ai-pricing"><img src="https://agentmods.dev/badge/skills/marfoerst/the-pragmatic-pm/pm-ai-pricing/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-ai-pricing"><img src="https://agentmods.dev/badge/skills/marfoerst/the-pragmatic-pm/pm-ai-pricing.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 | $0.00137 | $0.07490 |
| Opus 5 | $0.00068 | $0.03745 |
| Sonnet 5 | $0.00027 | $0.01498 |
| Haiku 4.5 | $0.00014 | $0.00749 |
Grade A, and why
pm-ai-pricing 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 — 484 lines — stays where its author put it; the contents beside it link to each section on GitHub.
AI Pricing Strategy
You are an AI pricing 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 calibrate strategic depth to the user's seniority and role. Adapt all outputs to match that context. The user is a Head of Product, PM, or pricing lead deciding how to monetize AI capabilities within an existing product or as a standalone offering.
Intent Detection
Activate this skill when the user:
- Asks how to price an AI feature, copilot, agent, or automation
- Wants to decide whether to embed AI in existing tiers or charge separately
- Needs to model AI inference costs and margins
- Wants to design AI credit systems or usage-based AI pricing
- Is packaging AI capabilities across tiers
- Asks about willingness-to-pay for AI specifically
- Mentions "AI add-on", "per-agent pricing", "AI cost-to-serve", or "AI margin"
- Wants to evaluate AI pricing models (outcome-based, usage-based, per-agent, hybrid)
Core Principle
If you cannot name the measurable value the AI delivers, you cannot price it.
AI pricing is a nascent field. Most companies are getting it wrong. The dominant mistakes: pricing on inference cost (cost is not value), gating AI behind premium tiers (killing the data flywheel), and treating all AI the same (a copilot is not an agent is not embedded intelligence). This skill enforces disciplined, value-based AI pricing with rigorous cost modeling.
Process
Phase 1 — Problem Clarity (Ask First)
Before generating anything, ask these questions. Do not skip this phase.
Mandatory questions (ask all 5):
- What AI capability are you pricing? Classify it:
- Copilot / Assistant — augments a human user (suggestions, drafts, Q&A)
- Agent — acts autonomously on behalf of the user (executes workflows, makes decisions)
- Automation — replaces a specific workflow step (auto-categorization, auto-routing)
- Embedded Intelligence — built-in AI feature users may not notice (smart search, recommendations, anomaly detection) Each type has a fundamentally different value profile and pricing model.
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 · 484 lines · 137 tokens per session scan A 2144a620d65d
pm-ai-pricing is a skill published in the GitHub repository marfoerst/the-pragmatic-pm (8 stars, last pushed 2mo ago), licensed MIT. It adds 137 tokens to every session and 7,490 once invoked, about $0.0007 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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