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 charlieviettq/awesome-agent-skill --skill econ-game-theorygit clone --depth 1 https://github.com/charlieviettq/awesome-agent-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/charlieviettq/awesome-agent-skill/econ-game-theory)<a href="https://agentmods.dev/skills/charlieviettq/awesome-agent-skill/econ-game-theory"><img src="https://agentmods.dev/badge/skills/charlieviettq/awesome-agent-skill/econ-game-theory/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/charlieviettq/awesome-agent-skill/econ-game-theory"><img src="https://agentmods.dev/badge/skills/charlieviettq/awesome-agent-skill/econ-game-theory.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 | $0.00088 | $0.01049 |
| Opus 5 | $0.00044 | $0.00524 |
| Sonnet 5 | $0.00018 | $0.00210 |
| Haiku 4.5 | $0.00009 | $0.00105 |
Grade A, and why
"econ-game-theory" 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.
This is a copy
91% identical to econ-game-theory — 8 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 — 93 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Game Theory Basics
Overview
Game theory models strategic interactions where each player's outcome depends on others' choices. It provides tools to predict behavior, identify stable outcomes (equilibria), and design mechanisms that align incentives.
Framework
IRON LAW: Define Players, Strategies, and Payoffs BEFORE Analyzing
Every game requires three elements explicitly defined:
1. Players — who are the decision-makers?
2. Strategies — what choices does each player have?
3. Payoffs — what does each player get for each combination of choices?
Analyzing a "game" without a payoff matrix is just storytelling.
Analysis Steps
- Identify players and their available strategies
- Build the payoff matrix (simultaneous) or game tree (sequential)
- Check for dominant strategies per player
- Find Nash Equilibrium — where best responses intersect
- For sequential games: apply backward induction from terminal nodes
- Evaluate efficiency — is the NE Pareto optimal? If not, flag cooperation opportunity
- The resulting path is the Subgame Perfect Equilibrium
Output Format
# Game Theory Analysis: {Situation}
## Game Setup
- Players: {list}
- Strategies: Player 1: {A, B}, Player 2: {X, Y}
- Type: Simultaneous / Sequential
## Payoff Matrix (simultaneous) or Game Tree (sequential)
| | Player 2: X | Player 2: Y |
|---|---|---|
| Player 1: A | (a1, a2) | (b1, b2) |
| Player 1: B | (c1, c2) | (d1, d2) |
## Analysis
- Dominant strategies: {if any}
- Nash Equilibrium: {strategy combination, payoffs}
- Pareto optimal? {yes/no — if no, explain the cooperation opportunity}
## Strategic Implications
{What should each player do? What mechanism could improve outcomes?}
Examples
Correct Application
Scenario: Two bubble tea chains considering price cut
| Chain B: Hold Price | Chain B: Cut Price | |
|---|---|---|
| Chain A: Hold Price | (80, 80) | (40, 100) |
| Chain A: Cut Price | (100, 40) | (60, 60) |
What ships with it
3 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.
- 9d ago First seen · 93 lines · 88 tokens per session scan A c1f4e71a39b7
"econ-game-theory" is a skill published in the GitHub repository charlieviettq/awesome-agent-skill (26 stars, last pushed 1mo ago), licensed MIT. It adds 88 tokens to every session and 1,049 once invoked, about $0.0004 per session on Opus 5. A static security scan graded it A with 0 findings. It is 91% identical to econ-game-theory, differing in 8 lines, and is treated as a copy.
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