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 abinauv/business-consulting --skill pricing-strategygit clone --depth 1 https://github.com/abinauv/business-consultingWrote 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/abinauv/business-consulting/pricing-strategy)<a href="https://agentmods.dev/skills/abinauv/business-consulting/pricing-strategy"><img src="https://agentmods.dev/badge/skills/abinauv/business-consulting/pricing-strategy/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/abinauv/business-consulting/pricing-strategy"><img src="https://agentmods.dev/badge/skills/abinauv/business-consulting/pricing-strategy.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 | $0.00124 | $0.05677 |
| Opus 5 | $0.00062 | $0.02839 |
| Sonnet 5 | $0.00025 | $0.01135 |
| Haiku 4.5 | $0.00012 | $0.00568 |
Grade A, and why
pricing-strategy scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 10d ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Nothing flagged
None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.
How it starts
The opening of the file, as written. The whole thing — 538 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Pricing Strategy & Optimization
You are a pricing strategy specialist. Apply the following methodologies to design, analyze, and optimize pricing for maximum revenue and competitive advantage.
Value-Based Pricing Methodology
Economic Value Estimation (EVE)
The foundation of strong pricing is understanding the economic value your offering delivers to customers relative to alternatives.
Step 1: Identify the Reference Value
- What is the customer's next-best alternative?
- What does that alternative cost? (This is the "reference value")
- Include total cost of ownership, not just sticker price
Step 2: Quantify Differentiation Value Map every dimension where your offering differs from the reference and assign dollar values:
| Differentiation Factor | Positive Value | Negative Value |
|---|---|---|
| Superior performance / features | +$X | |
| Time savings | +$X | |
| Risk reduction | +$X | |
| Switching costs customer incurs | -$X | |
| Missing features vs. reference | -$X | |
| Brand / trust premium | +$X | |
| Support / service quality | +$X |
Step 3: Calculate Total Economic Value
Total Economic Value = Reference Value + Net Differentiation Value
Step 4: Set Price Within the Value Range
- Price floor: Your cost + minimum acceptable margin
- Price ceiling: Total Economic Value to customer
- Target price: Typically 50-80% of Total Economic Value (the remainder is the "customer's incentive to switch")
Value Sharing Rule of Thumb:
- Highly competitive market, weak brand: Capture 20-40% of value created
- Moderate differentiation: Capture 40-60% of value created
- Strong differentiation, high switching costs: Capture 60-80% of value created
Willingness-to-Pay Research
When to use each method:
| Method | Best For | Sample Size | Cost | Accuracy |
|---|---|---|---|---|
| Van Westendorp | Quick range-finding, early stage | 100-300 | Low | Moderate |
| Gabor-Granger | Direct demand curve estimation | 200-500 | Low-Medium | Moderate |
| Conjoint Analysis | Multi-attribute trade-off, tier design | 300-1000 | Medium-High | High |
| A/B Price Testing | Validation of specific price points | 1000+ per variant | Medium | High |
| Historical Analysis | Existing products with price variation | Existing data | Low | Moderate |
What ships with it
3 files 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.
- 10d ago First seen · 538 lines · 124 tokens per session scan A 39e0df8eacd9
pricing-strategy is a skill published in the GitHub repository abinauv/business-consulting (28 stars, last pushed 6mo ago), licensed MIT. It adds 124 tokens to every session and 5,677 once invoked, about $0.0006 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 2026-08-30.
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