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 deciqAI/knowledge-skills --skill economies-of-scalegit clone --depth 1 https://github.com/deciqAI/knowledge-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/deciqai/knowledge-skills/economies-of-scale)<a href="https://agentmods.dev/skills/deciqai/knowledge-skills/economies-of-scale"><img src="https://agentmods.dev/badge/skills/deciqai/knowledge-skills/economies-of-scale/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/deciqai/knowledge-skills/economies-of-scale"><img src="https://agentmods.dev/badge/skills/deciqai/knowledge-skills/economies-of-scale.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector pass
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 | $0.00123 | $0.01958 |
| Opus 5 | $0.00062 | $0.00979 |
| Sonnet 5 | $0.00025 | $0.00392 |
| Haiku 4.5 | $0.00012 | $0.00196 |
Grade A, and why
economies-of-scale 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 — 126 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Economies of Scale
Overview
Average cost per unit falls as output rises — fixed costs spread thinner, specialization deepens, and learning compounds. The inverse — diseconomies of scale — occurs when coordination complexity and management overhead push average costs back up beyond an optimal size. Three markers matter: minimum efficient scale (MES) (where average cost stops falling), the diseconomy threshold (where costs start rising again), and internal vs. external economies (firm-level vs. industry-cluster advantages).
Composes with network-effects (demand-side complement), porters-five-forces (scale as barrier to entry), switching-costs (scale + switching costs = compound moat).
When to Use
- Evaluating whether a business model improves unit economics at scale
- Diagnosing why a competitor with lower prices survives; assessing competitive moats
- Evaluating M&A "scale synergies" — are they real or justification?
- Deciding optimal firm size, plant size, or team size
- Analyzing why some industries consolidate and others fragment
- Sizing whether AI-capex / chip-fab / cloud infrastructure has a scale moat only 2–3 firms can reach, or whether export controls and re-shoring push production below minimum efficient scale
Not when: diseconomies arrive early (boutique services, artisanal production); competitive advantage is differentiation not cost; question is demand-side value growth (use network-effects); unit economics don't improve with volume.
Coaching Novices (Adaptive Front Door)
- Engine mode: user has a specific cost structure or competitive positioning question → run The Process directly.
- Coach mode: user is new to the framework → guide step by step.
In Coach mode, respond one step at a time. Each [WAIT] is a hard stop — output only that step's question, then stop.
- One-liner: average cost per unit falls as output rises — fixed costs spread thinner, specialization deepens; the critical question is where diminishing returns begin.
- Check fit. Does this business have significant fixed costs or learning-curve effects? Does average cost actually fall with volume?
- Elicit the structure. What are the fixed vs. variable costs? At what volume does average cost stop falling?
[WAIT — do not advance until user responds]
- One question at a time: where is the firm on its scale curve vs. competitors? What happens to margins as volume doubles?
[WAIT — do not advance until user responds]
- Close: scale curve mapped + MES identified + competitive position assessed + "grow for scale" confirmed or disconfirmed.
[WAIT — do not advance until user responds]
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 · 126 lines · 123 tokens per session scan A e06d998ac8c7
economies-of-scale is a skill published in the GitHub repository deciqAI/knowledge-skills (10 stars, last pushed 10d ago), licensed MIT. It adds 123 tokens to every session and 1,958 once invoked, about $0.0006 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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