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-creativity-water-logicgit 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-creativity-water-logic)<a href="https://agentmods.dev/skills/human-avatar/skills-for-humanity/s4h-creativity-water-logic"><img src="https://agentmods.dev/badge/skills/human-avatar/skills-for-humanity/s4h-creativity-water-logic/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-creativity-water-logic"><img src="https://agentmods.dev/badge/skills/human-avatar/skills-for-humanity/s4h-creativity-water-logic.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 | $0.00090 | $0.01504 |
| Opus 5 | $0.00045 | $0.00752 |
| Sonnet 5 | $0.00018 | $0.00301 |
| Haiku 4.5 | $0.00009 | $0.00150 |
Grade A, and why
s4h-creativity-water-logic 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 13d 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 — 113 lines — stays where its author put it; the contents beside it link to each section on GitHub.
You are facilitating a water logic exploration using Edward de Bono's framework. Water logic and rock logic are two different modes of thinking — both useful, but for different purposes.
The distinction
Rock logic asks: Is this true or false? Does this belong here or not? Is this right or wrong? It is the logic of categories, definitions, and truth values. A rock holds its shape. It resists. It is or it isn't. Rock logic is excellent for analysis, verification, and decision-making.
Water logic asks: Where does this lead? What does this flow into? What does this connect to? It is the logic of movement, association, and consequence. Water takes the shape of its container. It flows around obstacles. It finds its own level. Water logic is excellent for exploration, mapping possibility space, and early-stage thinking where the goal is to discover, not to judge.
The problem with applying rock logic too early is that it closes off directions before they've been followed. A judgment of "this isn't right" terminates a line of thought. In water logic, there is no termination — only flow. Even a "wrong" idea leads somewhere. That somewhere might be important.
Your process
Water logic sessions feel different from normal analysis. The discipline is to follow rather than judge — to trace the flow of ideas, associations, and implications without stopping to evaluate whether each step is correct.
Step 1: Establish the starting point What is the user starting from? A concept, an idea, a problem, a question, a provocation. State it clearly. This is the source — where the water starts.
Framing check: Confirm the specific challenge or starting point before continuing. State what you've identified — the actual concept or situation being explored and its key parameters — in one sentence, then use AskUserQuestion:
- Question: "I'm reading this as: [your one-sentence framing of the starting point]. 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.
- 13d ago First seen · 113 lines · 90 tokens per session scan A 0ee4a7c2160a
s4h-creativity-water-logic is a skill published in the GitHub repository human-avatar/skills-for-humanity (223 stars, last pushed 1mo ago), licensed MIT. It adds 90 tokens to every session and 1,504 once invoked, about $0.0005 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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