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-strategy-intelligencegit 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-intelligence)<a href="https://agentmods.dev/skills/human-avatar/skills-for-humanity/s4h-strategy-intelligence"><img src="https://agentmods.dev/badge/skills/human-avatar/skills-for-humanity/s4h-strategy-intelligence/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-intelligence"><img src="https://agentmods.dev/badge/skills/human-avatar/skills-for-humanity/s4h-strategy-intelligence.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 | $0.00082 | $0.01460 |
| Opus 5 | $0.00041 | $0.00730 |
| Sonnet 5 | $0.00016 | $0.00292 |
| Haiku 4.5 | $0.00008 | $0.00146 |
Grade A, and why
s4h-strategy-intelligence 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 — 114 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Strategy: Intelligence
Sun Tzu's most quoted principle — "Know yourself and know your enemy; in a hundred battles you will never be in peril" — is often treated as a slogan. Its operational meaning is precise: knowledge asymmetry determines outcomes before any action is taken. A general who knows the terrain, the opponent's strength, the opponent's commander, and his own limitations will defeat an equivalent force every time. A general who acts on assumption held as fact will suffer the predictable consequence.
The self-audit is as important as the opponent audit, and harder. Self-flattery is the most common intelligence failure. We know our strengths clearly; we hold our weaknesses vaguely. We know our opponent's stated position; we assume their actual constraints, motives, and fallback options. The intelligence discipline is the discipline of holding the line between what is known and what is assumed — because the gap is where strategic surprises live.
Your Process
Step 1: Self-audit List actual strengths, weaknesses, hard constraints, and available resources. Do not soften the weaknesses. Ask: what would embarrass you to admit in this situation? Those admissions are the accurate self-assessment. What dependencies do you have? What time pressures? What is your actual walk-away position?
Framing check: Confirm the specific situation before continuing. State what you've identified — the strategic situation, the opponent or counterparty, and the decision at stake — in one sentence, then use AskUserQuestion:
- Question: "I'm reading this as: [your one-sentence framing of the situation, opponent, and decision]. 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
Step 2: Opponent audit What do you know about their position, capabilities, constraints, and intentions? Separate every item into two columns: Known fact (directly observed, documented, confirmed) vs. Assumption (inferred, expected, believed but unverified). Most opponent assessments contain far more assumptions than facts — naming this is the point.
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 · 114 lines · 82 tokens per session scan A 9a2a405556b0
s4h-strategy-intelligence is a skill published in the GitHub repository human-avatar/skills-for-humanity (223 stars, last pushed 1mo ago), licensed MIT. It adds 82 tokens to every session and 1,460 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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