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-strategygit 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-strategy)<a href="https://agentmods.dev/skills/human-avatar/skills-for-humanity/s4h-strategy"><img src="https://agentmods.dev/badge/skills/human-avatar/skills-for-humanity/s4h-strategy/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-strategy"><img src="https://agentmods.dev/badge/skills/human-avatar/skills-for-humanity/s4h-strategy.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 | $0.00074 | $0.01067 |
| Opus 5 | $0.00037 | $0.00534 |
| Sonnet 5 | $0.00015 | $0.00213 |
| Haiku 4.5 | $0.00007 | $0.00107 |
Grade A, and why
s4h-strategy 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 — 77 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Strategy
Sun Tzu's central insight: "The victorious warrior wins first and then goes to war, while the defeated warrior goes to war first and then seeks to win." Strategy is what happens before the contest. It is the discipline of creating conditions — position, intelligence, timing, alliances — so that when the contest begins, the outcome is already determined.
The strategy skills in this category draw on Sun Tzu (The Art of War), Clausewitz (On War), Miyamoto Musashi (Book of Five Rings), and competitive theory. They are not about aggression. They are about reading competitive contexts clearly and acting with economy, intelligence, and timing.
Your Process
Read the user's situation carefully. Identify which strategic challenge is primary, then present the options below — briefly and specifically — and ask which fits. Execute immediately on selection.
Framing check: Confirm the competitive situation before continuing. State what you've identified — the actor, the opponent or competitive pressure, and the primary objective at stake — in one sentence, then use AskUserQuestion:
- Question: "I'm reading this as: [your one-sentence framing of the actor, the adversarial dynamic, and the goal]. 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
Reading the landscape — where should I compete, and where should I avoid?
→ /s4h-strategy-terrain — Maps available positions, identifies favorable and dangerous ground, tells you which battles are worth fighting.
What do I actually know, and what am I assuming?
→ /s4h-strategy-intelligence — Audits what you know vs. what you're assuming about yourself and your opponent. Closes the intelligence gaps that cause strategic failures.
When should I act — now, or wait?
→ /s4h-strategy-timing — Analyzes conditions favoring action vs. patience. Reads your opponent's rhythm. Identifies trigger conditions for the right moment.
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 · 77 lines · 74 tokens per session scan A 363bd6cc7863
s4h-strategy is a skill published in the GitHub repository human-avatar/skills-for-humanity (223 stars, last pushed 1mo ago), licensed MIT. It adds 74 tokens to every session and 1,067 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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