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 James-Traina/compound-science --skill game-theorygit clone --depth 1 https://github.com/James-Traina/compound-scienceWrote 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/james-traina/compound-science/game-theory)<a href="https://agentmods.dev/skills/james-traina/compound-science/game-theory"><img src="https://agentmods.dev/badge/skills/james-traina/compound-science/game-theory.svg" alt="Measured on agentmods" 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 | $0.00197 | $0.03250 |
| Opus 5 | $0.00098 | $0.01625 |
| Sonnet 5 | $0.00039 | $0.00650 |
| Haiku 4.5 | $0.00020 | $0.00325 |
Grade A, and why
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 7d 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 — 195 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Game Theory
Reference for game-theoretic methods in applied structural econometrics and industrial organization. Covers equilibrium concepts, computational methods, structural IO applications, and the identification challenges unique to game-theoretic models.
When to Use This Skill
Use when the user is:
- Estimating a structural model where agents interact strategically (oligopoly, entry, bargaining, auctions)
- Deriving or computing Nash equilibria, BNE, or subgame perfect equilibria
- Handling the multiple equilibria problem in empirical games
- Testing firm conduct (competitive vs. collusive vs. oligopolistic)
- Estimating entry models, matching models, or bargaining models
- Formalizing an identification argument for a game-theoretic model
Skip when:
- The model is single-agent (use
structural-modelingskill for dynamic discrete choice, demand estimation) - The task is standard causal inference without strategic interaction (use
causal-inferenceskill) - The game is a well-known IO model with standard estimation code (pyblp covers BLP demand; see
structural-modeling)
Quick reference only — for full implementation code, see references/ subdirectory.
Where to Start
- Choosing equilibrium concept? See Equilibrium Concept Routing below, then
references/equilibrium-concepts.mdfor definitions and formulas - Computing equilibria? See
references/equilibrium-computation.md - Estimating an IO model? See
references/io-applications.md - Estimation code and diagnostics? See
references/estimation-diagnostics.md - Facing multiple equilibria? See Multiple Equilibria Summary below, then
references/multiple-equilibria.mdfor selection rules and set identification - Identification argument? See Identification Summary below, then
references/identification-in-games.mdfor exclusion restrictions and rank conditions
Quick Start: Nash Equilibrium Computation
What ships with it
6 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.
- 7d ago First seen · 195 lines · 197 tokens per session scan A b83db506f0ce
game-theory is a skill published in the GitHub repository James-Traina/compound-science (13 stars, last pushed 5mo ago), licensed MIT. It adds 197 tokens to every session and 3,250 once invoked, about $0.0010 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 2026-08-30.
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