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 winstonkoh87/Athena-Public --skill distribution-physicsgit clone --depth 1 https://github.com/winstonkoh87/Athena-PublicWrote 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/winstonkoh87/athena-public/distribution-physics)<a href="https://agentmods.dev/skills/winstonkoh87/athena-public/distribution-physics"><img src="https://agentmods.dev/badge/skills/winstonkoh87/athena-public/distribution-physics/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/winstonkoh87/athena-public/distribution-physics"><img src="https://agentmods.dev/badge/skills/winstonkoh87/athena-public/distribution-physics.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 | $0.00020 | $0.00205 |
| Opus 5 | $0.00010 | $0.00102 |
| Sonnet 5 | $0.00004 | $0.00041 |
| Haiku 4.5 | $0.00002 | $0.00020 |
Grade A, and why
distribution-physics 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 11d 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.
What it actually says
Distribution Physics
Evaluates whether a product has a structurally viable path to market, enforcing the "Build the Audience, then Build the Product" methodology.
Triggers
"go to market", "how to launch", "distribution strategy"
Core Mechanics
- Identifies the primary acquisition channel (SEO, Paid, Social).
- Calculates the friction coefficient of that channel vs the Unit Economics.
- Rejects strategies that rely on "Build it and they will come."
Reference Paths
.context/memories/protocols/business/106-distribution-physics.md
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.
- 11d ago First seen · 29 lines · 20 tokens per session scan A b3802afbdb92
distribution-physics is a skill published in the GitHub repository winstonkoh87/Athena-Public (587 stars, last pushed today), licensed MIT. It adds 20 tokens to every session and 205 once invoked, about $0.0001 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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