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-game-theory-signalinggit 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-game-theory-signaling)<a href="https://agentmods.dev/skills/human-avatar/skills-for-humanity/s4h-game-theory-signaling"><img src="https://agentmods.dev/badge/skills/human-avatar/skills-for-humanity/s4h-game-theory-signaling/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-game-theory-signaling"><img src="https://agentmods.dev/badge/skills/human-avatar/skills-for-humanity/s4h-game-theory-signaling.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 | $0.00084 | $0.01757 |
| Opus 5 | $0.00042 | $0.00879 |
| Sonnet 5 | $0.00017 | $0.00351 |
| Haiku 4.5 | $0.00008 | $0.00176 |
Grade A, and why
s4h-game-theory-signaling 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 — 121 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Game Theory: Signaling
Michael Spence's 1973 insight: education is not only valuable because it increases productivity — it is valuable as a signal because it is costly enough that low-ability workers won't bother acquiring it. If a credential is easy enough to fake, it conveys no information. The signal is credible only when it is cheaper for the type who actually has the quality being claimed.
The core principle: cheap talk cannot be credible in adversarial or asymmetric-information contexts. If saying "I'm trustworthy" costs nothing, then everyone — trustworthy or not — will say it, and the statement conveys nothing. The receiver knows this and discounts it. A credible signal must be costly in a way that is rational only if the claim is true. This is the separating condition: high types find the signal worth acquiring; low types don't.
George Akerlof's market for lemons (1970) shows the consequence when signaling fails: information asymmetry causes good products to be driven out by bad ones, because buyers can't distinguish them and price accordingly. Sellers of good products can't credibly signal their quality, so the market collapses toward low-quality goods and prices. Thomas Schelling extended this to commitment devices: any action that credibly binds you to a future course of action changes what others expect you to do — and thereby changes what they do now.
Your Process
Step 1: Information asymmetry Identify what one party knows that the other doesn't. Name the informed party and the uninformed party. What is the private information — quality, intent, ability, commitment, type? What would the uninformed party do if they had this information?
Framing check: Confirm the specific signaling situation before continuing. State the informed party, the uninformed party, and the private information being claimed in one sentence, then use AskUserQuestion:
- Question: "I'm reading this as: [your one-sentence framing of the specific signaling situation — who is trying to credibly communicate what to whom]. 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 · 121 lines · 84 tokens per session scan A b081e51c9f66
s4h-game-theory-signaling is a skill published in the GitHub repository human-avatar/skills-for-humanity (223 stars, last pushed 1mo ago), licensed MIT. It adds 84 tokens to every session and 1,757 once invoked, about $0.0004 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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