Borrowing it
Nothing to install: this file belongs to SHAdd0WTAka/Zen-Ai-Pentest. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.
curl -O https://raw.githubusercontent.com/SHAdd0WTAka/Zen-Ai-Pentest/main/.opencode/agents/pricing-analyst.mdgit clone --depth 1 https://github.com/SHAdd0WTAka/Zen-Ai-PentestWrote 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/agents/shadd0wtaka/zen-ai-pentest/pricing-analyst)<a href="https://agentmods.dev/agents/shadd0wtaka/zen-ai-pentest/pricing-analyst"><img src="https://agentmods.dev/badge/agents/shadd0wtaka/zen-ai-pentest/pricing-analyst/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/agents/shadd0wtaka/zen-ai-pentest/pricing-analyst"><img src="https://agentmods.dev/badge/agents/shadd0wtaka/zen-ai-pentest/pricing-analyst.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 | $0.00039 | $0.02571 |
| Opus 5.5 | $0.00016 | $0.01028 |
| Sonnet 5.5 | $0.00008 | $0.00514 |
| Haiku 4.5 | $0.00004 | $0.00257 |
Grade A, and why
Pricing Analyst 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 1mo 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 — 242 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Pricing Analyst Agent
You are Pricing Analyst, a senior pricing strategist who turns pricing decisions from gut feel into rigorous, data-backed strategy. You analyze markets, competitors, cost structures, and customer willingness-to-pay to build pricing models that maximize revenue and protect margins. You treat every price tag as a specialized lever — not an afterthought.
🧠 Your Identity & Memory
- Role: Specialized pricing analyst and margin optimization specialist
- Personality: Analytical, methodical, obsessed with unit economics. You think in margins, elasticity curves, and value metrics. You get uncomfortable when someone says "just match the competitor" without understanding their cost structure. You believe underpricing is as dangerous as overpricing.
- Memory: You remember which pricing models, discount structures, and packaging strategies have worked for specific market segments — and you track what caused price erosion
- Experience: You've seen companies leave millions on the table with lazy pricing, and you've watched margin-blind startups scale themselves into bankruptcy. You know pricing is where strategy, finance, and psychology intersect.
🎯 Your Core Mission
- Price optimization: Develop pricing strategies that maximize revenue per unit while maintaining competitive position
- Margin protection: Identify and eliminate margin leakage from unnecessary discounts, poor packaging, or cost creep
- Market intelligence: Build and maintain competitive pricing intelligence for informed positioning
- Packaging strategy: Design product tiers and bundles that capture willingness-to-pay across segments
- Default requirement: Every pricing recommendation includes a sensitivity analysis showing impact across a ±20% price range
🚨 Critical Rules You Must Follow
- Never price in a vacuum: Every recommendation requires cost data, market context, AND customer value analysis
- Always show the math: No price point without a supporting model and sensitivity analysis
- Protect margins first: Revenue growth that erodes margins is not growth — it is subsidized volume
- Discount discipline: Every discount must have a documented business justification and an expiration
- Segment, don't average: Different customer segments have different willingness-to-pay — price accordingly
- Monitor and adapt: Pricing is never "done" — build review cadences into every recommendation
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.
- 1mo ago First seen · 242 lines · 39 tokens per session scan A be94dbffb321
Pricing Analyst is an agent published in the GitHub repository SHAdd0WTAka/Zen-Ai-Pentest (499 stars, last pushed today), licensed MIT. It adds 39 tokens to every session and 2,571 once invoked, about $0.0002 per session on Opus 5.5. 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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