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 The-AI-Directory-Company/agents-and-skills --skill pricing-analysisgit clone --depth 1 https://github.com/The-AI-Directory-Company/agents-and-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/the-ai-directory-company/agents-and-skills/pricing-analysis)<a href="https://agentmods.dev/skills/the-ai-directory-company/agents-and-skills/pricing-analysis"><img src="https://agentmods.dev/badge/skills/the-ai-directory-company/agents-and-skills/pricing-analysis/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/the-ai-directory-company/agents-and-skills/pricing-analysis"><img src="https://agentmods.dev/badge/skills/the-ai-directory-company/agents-and-skills/pricing-analysis.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 | $0.00030 | $0.01750 |
| Opus 5 | $0.00015 | $0.00875 |
| Sonnet 5 | $0.00006 | $0.00350 |
| Haiku 4.5 | $0.00003 | $0.00175 |
Grade A, and why
pricing-analysis 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 — 139 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Pricing Analysis
Before you start
Gather the following from the user. If anything is missing, ask before proceeding:
- What are you pricing? (New product, repricing, add-on feature, new tier)
- Who is the target customer? (Persona, company size, budget authority)
- What is the current pricing? (If repricing — model, tiers, average deal size)
- Who are the competitors? (Direct competitors and public pricing, indirect alternatives)
- What is the value metric? (What unit the customer pays for — seats, usage, projects)
- Do you have willingness-to-pay data? (Surveys, win/loss data, sales feedback, churn reasons)
- What are the business constraints? (Margin requirements, revenue targets, positioning)
If the user says "just tell me what to charge," push back: pricing without data on customer value perception, competitive landscape, and unit economics is guessing. This analysis produces a recommendation grounded in evidence.
Pricing analysis template
1. Value Metric Assessment
Identify the unit of value that aligns price with customer outcomes. The right value metric scales with the value the customer receives.
| Candidate Metric | Aligns with Value? | Predictable Cost? | Recommendation |
|------------------|--------------------|-------------------|--------------------|
| Per seat/user | Moderate | Yes | Good default |
| Per API call | High | Low (spiky) | Consider caps |
| Per project | High | Yes | Strong for SMB |
| Flat rate | Low | Yes | Only if homogeneous|
| Per GB stored | Moderate | Moderate | Common for infra |
Selection criteria: The metric should scale with customer value (paying 10x = getting ~10x value). Customers must be able to predict their cost before committing. The metric must be explainable in one sentence — if sales cannot articulate it, deals stall.
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.
- 8d ago First seen · 139 lines · 30 tokens per session scan A f563207c014d
pricing-analysis is a skill published in the GitHub repository The-AI-Directory-Company/agents-and-skills (2 stars, last pushed 5mo ago), licensed MIT. It adds 30 tokens to every session and 1,750 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 2026-09-03.
Other skills, from other repositories
finance
Financial analysis expertise for financial modeling (DCF, LBO, M&A), valuation, financial statement analysis, capital allocation, treasury management, and corporate finance decisions. Use when building financial models, analyzing statements, or making investment decisions.
financial-scenario-planner
Stress-test financial plans across scenarios (bull/bear/base), sensitivity tables, and Monte Carlo-style analysis. Use when evaluating financial assumptions, modeling risk scenarios, or building scenario-based financial plans.
investment-memo-generator
Investment memo creation combining financial analysis, document generation, and structured templates. Use when creating investment memos, pitch decks, deal summaries, or investment committee materials.
financial-expert
A financial research skill for China and Hong Kong securities, funds, company finances, economic indicators, research reports, announcements, news, and business-risk data. It returns data and neutral analysis rather than placing trades or recommending investments.
cre-asset-management
CRE Asset Management analysis suite — 9 specialist skills for post-acquisition multifamily operations including annual budgeting, monthly variance analysis, rent collection, renewal decisions, lease-up tracking, capex execution, NOI improvement, hold/sell/refi scenario analysis, and quarterly asset review memos.
api-commerce-stripe
Stripe payment processing — Checkout Sessions, Payment Intents, subscriptions, webhooks, Connect, customer management, error handling.