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 cass-2003/local-workflow-skill --skill pricing-strategistgit clone --depth 1 https://github.com/cass-2003/local-workflow-skillWrote 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/cass-2003/local-workflow-skill/pricing-strategist)<a href="https://agentmods.dev/skills/cass-2003/local-workflow-skill/pricing-strategist"><img src="https://agentmods.dev/badge/skills/cass-2003/local-workflow-skill/pricing-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/skills/cass-2003/local-workflow-skill/pricing-strategist"><img src="https://agentmods.dev/badge/skills/cass-2003/local-workflow-skill/pricing-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 | $0.00108 | $0.02143 |
| Opus 5 | $0.00054 | $0.01071 |
| Sonnet 5 | $0.00022 | $0.00429 |
| Haiku 4.5 | $0.00011 | $0.00214 |
Grade A, and why
pricing-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 6d 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 — 135 lines — stays where its author put it; the contents beside it link to each section on GitHub.
pricing-strategist
Purpose
Help Commercial, Product Marketing, and CMO functions answer three questions at the pricing-design moment:
- Which pricing model fits this product + customer + market? (subscription seat-based, usage-based, value-based, freemium, hybrid)
- What does the customer actually pay before it feels too expensive? (Van Westendorp PSM on WTP survey responses)
- How should we package this into tiers? (Good / Better / Best — with anti-pattern detection)
The skill recommends a model and a range. The human picks the number, owns the trade-offs, and runs the GTM.
When to use
- Launching a new SaaS / API / AI tool and choosing the first pricing model
- Revisiting pricing after 18+ months of GTM data (model shift, not just price increase)
- Designing or redesigning tier packaging (Good/Better/Best, Bronze/Silver/Gold)
- You have Van Westendorp survey data and want the optimal price range
- A board / exec is asking "what should we charge?" and you need the structured answer
- You suspect your packaging has anti-patterns (decoy tier, feature dump, no upgrade trigger)
Do not use for:
- Per-deal discount approval →
deal-desk - Strategic CMO positioning, brand, category creation →
c-level-advisor/cmo-advisor - Whole-company revenue strategy →
c-level-advisor/cro-advisor - Technical-sale enablement →
business-growth/sales-engineer
Workflow
Step 1 — Assess customer context
Fill assets/pricing_brief_template.md (≈ 20 min). Capture: industry, deal size avg, customer count, value drivers, adoption curve, consumption pattern (seat / usage / value / hybrid), competitor models.
Step 2 — Pick the pricing model
Run scripts/pricing_model_picker.py --input brief.json --profile saas --output markdown. Output ranks 5 models by fit-score 0-100 with trade-offs. Decision logic is deterministic: low usage variance + high seat-attach → subscription wins; power-law usage + variable customer value → usage-based wins.
What ships with it
7 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.
- assets/pricing_brief_template.md 3.3 KB
- references/packaging_anti_patterns.md 6.0 KB
- references/saas_pricing_canon.md 5.1 KB
- references/van_westendorp_methodology.md 6.4 KB
- scripts/packaging_designer.py 12 KB runs code
- scripts/pricing_model_picker.py 11 KB runs code
- scripts/wtp_analyzer.py 10 KB runs code
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.
- 6d ago First seen · 135 lines · 108 tokens per session scan A 2ee20d1dffa5
pricing-strategist is a skill published in the GitHub repository cass-2003/local-workflow-skill (12 stars, last pushed 2mo ago), licensed MIT. It adds 108 tokens to every session and 2,143 once invoked, about $0.0005 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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