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 deciqAI/knowledge-skills --skill pricing-strategygit clone --depth 1 https://github.com/deciqAI/knowledge-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/deciqai/knowledge-skills/pricing-strategy)<a href="https://agentmods.dev/skills/deciqai/knowledge-skills/pricing-strategy"><img src="https://agentmods.dev/badge/skills/deciqai/knowledge-skills/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/deciqai/knowledge-skills/pricing-strategy"><img src="https://agentmods.dev/badge/skills/deciqai/knowledge-skills/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 | $0.00116 | $0.02188 |
| Opus 5 | $0.00058 | $0.01094 |
| Sonnet 5 | $0.00023 | $0.00438 |
| Haiku 4.5 | $0.00012 | $0.00219 |
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 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.
How it starts
The opening of the file, as written. The whole thing — 121 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Pricing Strategy
Overview
Price is a structural decision, not a calculated number. Cost-plus and competitor-matching both ignore 50 years of pricing research: what people pay is shaped by reference points, anchoring, loss aversion, and offer structure — not by cost. Kahneman & Tversky (Econometrica 1979): losses hit ~2× harder than equal gains. Thaler (1980): endowment effect and mental accounting drive consumer pricing behavior.
Compose with: first-principles · probabilistic-thinking · pareto-principle · pmf-crossing-the-chasm.
When to Use
Apply when: setting initial prices; planning a price change (especially raising); designing freemium/tiered/usage structures; sales asks for discounts >1/week; competitors' price is the only input; pricing an AI product against volatile/falling inference costs and choosing seat- vs. usage- vs. outcome-based models, protecting gross margin as AI capex and model releases shift the cost floor, or defending price against AI-native competitors pricing off the same collapsing token cost.
When NOT to use: no demonstrated value (use lean-startup); price regulated; purely tactical single-deal discount; LTV/CAC already working and question is execution only.
Coaching Novices (Adaptive Front Door)
- Engine mode: user has segment + value data → run The Process directly.
- Coach mode: vague or unfamiliar → guide step by step.
In Coach mode, respond one step at a time. Each [WAIT] is a hard stop — output only that step's question, then stop.
- What it is. Pricing is a designed signal — what people pay depends on reference points and loss aversion far more than on cost.
- Check fit. No demonstrated value → lean-startup. Regulated → wrong scope.
- Elicit value. What outcome does the customer get, in their metric? ("save 8 eng-hours/week" not "makes them faster")
[WAIT — do not advance until user responds]
- Walk The Process one step at a time with their input.
[WAIT — do not advance until user responds]
- Close with one price, one anchor, one structure, one 60-day experiment.
[WAIT — do not advance until user responds]
What ships with it
4 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.
- 9d ago First seen · 121 lines · 116 tokens per session scan A 241b69a89e27
pricing-strategy is a skill published in the GitHub repository deciqAI/knowledge-skills (10 stars, last pushed 11d ago), licensed MIT. It adds 116 tokens to every session and 2,188 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 2026-09-03.
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