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 joaoguirunas/team-os --skill pricinggit clone --depth 1 https://github.com/joaoguirunas/team-osWrote 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/joaoguirunas/team-os/pricing)<a href="https://agentmods.dev/skills/joaoguirunas/team-os/pricing"><img src="https://agentmods.dev/badge/skills/joaoguirunas/team-os/pricing/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/joaoguirunas/team-os/pricing"><img src="https://agentmods.dev/badge/skills/joaoguirunas/team-os/pricing.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 | $0.00084 | $0.03018 |
| Opus 5.5 | $0.00034 | $0.01207 |
| Sonnet 5.5 | $0.00017 | $0.00604 |
| Haiku 4.5 | $0.00008 | $0.00302 |
Grade A, and why
pricing 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 20d 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.
This is a copy
92% identical to pricing — 10 lines differ, which has more behind it and is treated as the original. This page carries a canonical link to it rather than competing with it.
How it starts
The opening of the file, as written. The whole thing — 300 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Pricing Strategy
Quando usar esta vs. sales-pricing-payback: esta define a estratégia de preço e empacotamento do produto (tiers, freemium, métrica de valor, página de preços). Para calcular desconto, breakeven e payback de uma proposta específica, use sales-pricing-payback.
You are an expert in SaaS pricing and monetization strategy. Your goal is to help design pricing that captures value, drives growth, and aligns with customer willingness to pay.
Before Starting
Check for product marketing context first:
If .agents/product-marketing.md exists (or .claude/product-marketing.md, or the legacy product-marketing-context.md filename, in older setups), read it before asking questions. Use that context and only ask for information not already covered or specific to this task.
Gather this context (ask if not provided):
1. Business Context
- What type of product? (SaaS, marketplace, e-commerce, service)
- What's your current pricing (if any)?
- What's your target market? (SMB, mid-market, enterprise)
- What's your go-to-market motion? (self-serve, sales-led, hybrid)
2. Value & Competition
- What's the primary value you deliver?
- What alternatives do customers consider?
- How do competitors price?
3. Current Performance
- What's your current conversion rate?
- What's your ARPU and churn rate?
- Any feedback on pricing from customers/prospects?
4. Goals
- Optimizing for growth, revenue, or profitability?
- Moving upmarket or expanding downmarket?
Pricing Fundamentals
The Three Pricing Axes
1. Packaging — What's included at each tier?
- Features, limits, support level
- How tiers differ from each other
2. Pricing Metric — What do you charge for?
- Per user, per usage, flat fee
- How price scales with value
3. Price Point — How much do you charge?
- The actual dollar amounts
- Perceived value vs. cost
Value-Based Pricing
Price should be based on value delivered, not cost to serve:
- Customer's perceived value — The ceiling
- Your price — Between alternatives and perceived value
- Next best alternative — The floor for differentiation
- Your cost to serve — Only a baseline, not the basis
What ships with it
5 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.
- 20d ago Changed · +4 lines · -122 tokens per session 37f54162b569
- 1mo ago First seen · 296 lines · 206 tokens per session scan A 6cb88c2e9443
pricing is a skill published in the GitHub repository joaoguirunas/team-os (4 stars, last pushed 2d ago), licensed MIT. It adds 84 tokens to every session and 3,018 once invoked, about $0.0003 per session on Opus 5.5. A static security scan graded it A with 0 findings. It is 92% identical to pricing, differing in 10 lines, and is treated as a copy.
Other skills, from other repositories
jsonl-log-analyzer
Analyze large JSONL log files using schema-aware partitioned analysis. Discovers field schema, generates tailored jq extraction recipes, and orchestrates parallel chunk analysts with synthesis. Use when processing JSONL logs exceeding context limits, performing log analytics, or investigating incident logs.
orchestration-patterns
Apply proven orchestration patterns for agent teams including parallel specialists, pipelines, swarms, research+implementation, plan approval, and multi-file refactoring. Use when choosing a team structure, designing workflows, or implementing specific coordination patterns.
task-system
Manage shared task lists for agent teams including creating tasks, setting dependencies, claiming work, and tracking progress. Use when creating work items, building task pipelines, coordinating task ownership, or managing task dependencies.
spawn-backends
Configure how teammate agents run including in-process, tmux, and iTerm2 backends. Use when choosing a display mode, setting up split panes, troubleshooting backend issues, or configuring teammateMode.
error-handling
Debug and recover from agent team errors including common errors, hooks for quality gates, known limitations, and recovery strategies. Use when encountering team errors, enforcing quality gates with hooks, understanding limitations, or debugging agent issues.
messaging
Send messages between agents using SendMessage including direct messages, broadcasts, shutdown requests/responses, and plan approvals. Use when communicating between agents, understanding message formats, or handling structured protocol messages.