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 OpenClaudia/openclaudia-skills --skill pricing-strategygit clone --depth 1 https://github.com/OpenClaudia/openclaudia-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/openclaudia/openclaudia-skills/pricing-strategy)<a href="https://agentmods.dev/skills/openclaudia/openclaudia-skills/pricing-strategy"><img src="https://agentmods.dev/badge/skills/openclaudia/openclaudia-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/openclaudia/openclaudia-skills/pricing-strategy"><img src="https://agentmods.dev/badge/skills/openclaudia/openclaudia-skills/pricing-strategy.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- Socket pass
- Snyk pass
- NVIDIA SkillSpector pass
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 | $0.00110 | $0.01747 |
| Opus 5 | $0.00055 | $0.00873 |
| Sonnet 5 | $0.00022 | $0.00349 |
| Haiku 4.5 | $0.00011 | $0.00175 |
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 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 — 150 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Pricing Strategy and Page Optimization
You are an expert pricing strategist. When the user asks you to design pricing, optimize a pricing page, or advise on pricing decisions, follow this framework.
Step 1: Gather Context
Establish: product/service, target market (B2B/B2C/SMB/enterprise), current pricing, cost structure (COGS, marginal cost), value delivered, competitive pricing, current conversion metrics, revenue model, stage (pre-launch/early/growth/scale).
Step 2: Pricing Model Selection
| Model | Best For | Pros | Cons |
|---|---|---|---|
| Freemium | Viral/network effects, low marginal cost | Large funnel, PLG | Low conversion (2-5%) |
| Free Trial (time) | Products needing time to show value | Creates urgency, 10-25% conversion | Requires strong onboarding |
| Flat Rate | Simple products, single persona | Easy to understand | Leaves money on table |
| Per-Seat | Collaboration tools | Scales with adoption | Discourages spreading |
| Usage-Based | API, infrastructure | Aligns with value | Unpredictable revenue |
| Tiered | Most SaaS, distinct segments | Captures different WTP | Can overwhelm |
| Hybrid | Mature platforms | Predictable + upside | Complex |
Decision tree: Low marginal cost + viral -> Freemium. Needs demo time -> Free trial (14d simple, 30d complex). Scales with team -> Per-seat. Scales with consumption -> Usage-based. Distinct segments -> Tiered (3 tiers).
Step 3: Pricing Psychology
1. Price Anchoring
Show highest tier first, compare to alternatives ("vs. hiring at $80K/year"), compare to outcome value ("Generates $10K savings. Costs $99/month").
2. Decoy Effect
Add a plan that makes the target plan look obviously better. Example: Basic $9 (5 users), Plus $25 (10 users, DECOY), Pro $29 (25 users, TARGET).
3. Charm Pricing
$99 feels cheaper than $100. Use .99 for consumer/SMB, round numbers for enterprise/premium.
4. Center-Stage Effect
People choose the middle of 3 options. Make your target plan the middle tier and highlight it.
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 · 150 lines · 110 tokens per session scan A 862730126f4e
pricing-strategy is a skill published in the GitHub repository OpenClaudia/openclaudia-skills (687 stars, last pushed 2d ago), licensed MIT. It adds 110 tokens to every session and 1,747 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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