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 human-avatar/skills-for-humanity --skill s4h-economics-opportunity-costgit clone --depth 1 https://github.com/human-avatar/skills-for-humanityWrote 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/human-avatar/skills-for-humanity/s4h-economics-opportunity-cost)<a href="https://agentmods.dev/skills/human-avatar/skills-for-humanity/s4h-economics-opportunity-cost"><img src="https://agentmods.dev/badge/skills/human-avatar/skills-for-humanity/s4h-economics-opportunity-cost/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/human-avatar/skills-for-humanity/s4h-economics-opportunity-cost"><img src="https://agentmods.dev/badge/skills/human-avatar/skills-for-humanity/s4h-economics-opportunity-cost.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector warn
SkillSpector: 2 findings, up to medium
These are SkillSpector’s own severities. On a checked sample its high-severity flags on skills were ~96% false positives — a documented command, a public API, a “never do X” rule — so we show them as a caution to read, not a verdict. Why →
- medium Excessive Agency · line 8 Skill enables autonomous high-impact decisions without human-in-the-loop verification. Critical operations (destructive commands, financial transactions, data deletion) should require explicit user confirmation.Fix: Add human-in-the-loop confirmation for destructive, irreversible, or high-impact operations. Never auto-execute commands that modify files, send data, or alter system state.
- medium Excessive Agency · line 90 Skill enables autonomous high-impact decisions without human-in-the-loop verification. Critical operations (destructive commands, financial transactions, data deletion) should require explicit user confirmation.Fix: Add human-in-the-loop confirmation for destructive, irreversible, or high-impact operations. Never auto-execute commands that modify files, send data, or alter system state.
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 | $0.00090 | $0.01647 |
| Opus 5 | $0.00045 | $0.00823 |
| Sonnet 5 | $0.00018 | $0.00329 |
| Haiku 4.5 | $0.00009 | $0.00165 |
Grade A, and why
s4h-economics-opportunity-cost 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 9d 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 — 109 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Economics: Opportunity Cost
Alfred Marshall gave us the concept; every decision-maker needs it. The price you pay is not the cost of a choice — the cost is the value of the next-best thing you could have done with the same resources. Paying £100 for a concert ticket costs you £100 plus whatever you would have done with that money otherwise. Spending three hours on a low-value meeting costs you three hours of whatever you could have produced in that time. Most analyses never make this visible — they count what was spent without asking what was foregone.
Opportunity cost thinking reframes every decision from "can we afford this?" to "is this the best available use of what we have?" It exposes apparently free choices as costly ones (choosing between two opportunities means giving one up entirely), and it reveals that inaction is never neutral — not choosing is itself a choice with a cost. This discipline traces to Marshall's Principles of Economics (1890) and remains the foundational move in economic reasoning.
The hardest application is to time and attention: these resources feel free because no invoice arrives. But time spent on one thing is precisely time not spent on another. Opportunity cost makes the invoice visible.
Your Process
Step 1: Define the choice Clarify what decision is being made and what resource is being allocated — money, time, capital, headcount, attention, or some combination. Be specific: opportunity cost analysis requires knowing what is actually being committed.
Framing check: Confirm the choice and the resource being committed before continuing. State what you've identified in one sentence, then use AskUserQuestion:
- Question: "I'm reading this as: [one-sentence framing — the specific choice and the resource being committed]. Is that right?"
- Header: "Framing"
- Options:
- Yes — proceed — framing is correct
- Adjust — one element is off; user will correct it before you continue
- Reframe — different situation than read; incorporate the correction before proceeding
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.
- 9d ago First seen · 109 lines · 90 tokens per session scan A 52878412a59a
s4h-economics-opportunity-cost is a skill published in the GitHub repository human-avatar/skills-for-humanity (223 stars, last pushed 1mo ago), licensed MIT. It adds 90 tokens to every session and 1,647 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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