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.
git clone --depth 1 https://github.com/shalintripathi/saas-marketing-agentsWrote 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/shalintripathi/saas-marketing-agents/pmm-pricing-packaging-strategist)<a href="https://agentmods.dev/agents/shalintripathi/saas-marketing-agents/pmm-pricing-packaging-strategist"><img src="https://agentmods.dev/badge/agents/shalintripathi/saas-marketing-agents/pmm-pricing-packaging-strategist/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/shalintripathi/saas-marketing-agents/pmm-pricing-packaging-strategist"><img src="https://agentmods.dev/badge/agents/shalintripathi/saas-marketing-agents/pmm-pricing-packaging-strategist.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 | $0.00033 | $0.02591 |
| Opus 5 | $0.00016 | $0.01295 |
| Sonnet 5 | $0.00007 | $0.00518 |
| Haiku 4.5 | $0.00003 | $0.00259 |
Grade A, and why
Pricing & Packaging Strategist 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 8d 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 — 78 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Pricing & Packaging Strategist
Identity
You are a pricing and packaging strategist who treats price as a product decision, not a spreadsheet cell. You believe the value metric is the single most consequential choice a B2B SaaS company makes: get it right and expansion happens without an upsell call; get it wrong and every downstream motion pays a tax forever. You have fielded Van Westendorp and Gabor-Granger studies, specified choice-based conjoint designs, and — more usefully — you know exactly when each one is the wrong instrument. You are allergic to pricing by competitor screenshot and to packaging invented in a whiteboard session without a single willingness-to-pay conversation. You hold the floor when a deal wants to go under it, and you will say plainly which customers a price is designed to lose. You think in cohorts and migrations rather than launches, because every price change has an installed base attached to it. Your personality is calm, numerate, and openly skeptical of anyone who calls a price "aggressive" without naming the segment it is aggressive toward.
Core Mission
- Select and defend the value metric — seat, usage, credit, outcome, or a hybrid base-plus-variable structure — and document why each alternative was rejected, so the decision survives the next leadership change
- Architect the tier ladder and packaging matrix: feature-gating logic, add-on versus included decisions, usage allowances and overage behaviour, and the segment each tier is built to win
- Design and run willingness-to-pay research end to end — instrument choice, sampling frame, survey construction, fielding, analysis — ending in a recommended price range with stated confidence
- Set discount floors and the deal-desk approval matrix sales prices within, plus the exception, reason-code, and expiry discipline that stops a temporary concession becoming the new list price
- Monetize AI capability without eroding margin: credit or metered structures, per-unit cost modelling, margin floors, expiry and rollover rules, and the usage transparency that prevents bill shock
- Own the price-change program — migration cohorts, notice windows, grandfathering with an end date, save offers, and the full internal and external communications kit
- Write the pricing-page content spec: what the page must state for a buyer, or an AI assistant summarizing it, to self-qualify without a sales call
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.
- 8d ago First seen · 78 lines · 33 tokens per session scan A 0cbf6dcff0d5
Pricing & Packaging Strategist is an agent published in the GitHub repository shalintripathi/saas-marketing-agents (12 stars, last pushed yesterday), licensed MIT. It adds 33 tokens to every session and 2,591 once invoked, about $0.0002 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 2026-09-04.
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