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-evolutiongit 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-evolution)<a href="https://agentmods.dev/skills/human-avatar/skills-for-humanity/s4h-evolution"><img src="https://agentmods.dev/badge/skills/human-avatar/skills-for-humanity/s4h-evolution/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-evolution"><img src="https://agentmods.dev/badge/skills/human-avatar/skills-for-humanity/s4h-evolution.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 | $0.00085 | $0.01273 |
| Opus 5.5 | $0.00034 | $0.00509 |
| Sonnet 5.5 | $0.00017 | $0.00255 |
| Haiku 4.5 | $0.00009 | $0.00127 |
Grade A, and why
s4h-evolution 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 1mo 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 — 88 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Evolution
Applies evolutionary reasoning to understand how populations, strategies, and systems change over time. Fitness is not a fixed property — it is always fitness for a context. This toolkit maps variation, selection, niches, landscapes, and coevolutionary escalation to surfaces what persists, what gets outcompeted, and why.
Which tool fits
| You need to... | Tool |
|---|---|
| Understand how a population or strategy pool changes through variation and selection | variation-selection |
| Understand how competitors coexist or exclude each other, and where differentiation creates advantage | niche |
| Map the solution space as peaks and valleys and understand path dependence | fitness-landscape |
| Analyse coevolutionary escalation between two parties adapting to each other | arms-race |
Routing Decision
Framing check: Confirm the evolutionary dynamic in focus before routing. State what you've identified — the population or system, and the competitive or adaptive pressure — in one sentence, then use AskUserQuestion:
-
Question: "I'm reading this as: [your one-sentence framing of the system and the evolutionary pressure]. 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
-
How does a population of strategies/entities change over time through selection? → variation-selection
-
Who coexists with whom, and why — what determines which strategies/players can occupy the same space? → niche
-
What is the shape of the solution space — are we stuck on a local peak, and how do we move to a higher one? → fitness-landscape
-
Two parties keep adapting to each other in cycles with no clear end state → arms-race
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Unclear → variation-selection; mapping the variation-selection-retention cycle always surfaces which sub-question is most pressing
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.
- 1mo ago First seen · 88 lines · 85 tokens per session scan A b297ddfb7d89
s4h-evolution is a skill published in the GitHub repository human-avatar/skills-for-humanity (236 stars, last pushed 3mo ago), licensed MIT. It adds 85 tokens to every session and 1,273 once invoked, about $0.0003 per session on Opus 5.5. 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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