s4h-evolution-niche

s4h-evolution-niche is a skill for Claude Code from human-avatar/skills-for-humanity. It costs 80 tokens per session (1,994 once invoked), scanned A, original, MIT.

A way to study how competing organisations or strategies divide up a shared space. In ecology, a niche is the set of resources and conditions a species uses to survive.

In plain words
What is it for?
Use it to compare competitors, find meaningful differentiation, and understand why two strategies coexist or why one may push out another.
Why use it?
It helps explain why similar approaches may compete directly, while differences in audience, timing, resources, or method can let them coexist. It can also show where competition is too concentrated.

Skill for Claude Code

Written for Claude Code: shipped in a Claude Code plugin. Also seen: names the AskUserQuestion tool.

Part of the skills-for-humanity plugin — 197 skills, 1 hook shipped together

Good fit Use it to compare competitors, find meaningful differentiation, and understand why two strategies coexist or why one may push out another.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/human-avatar/skills-for-humanity/s4h-evolution-niche
Install

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.

Any agent
npx skills add human-avatar/skills-for-humanity --skill s4h-evolution-niche
Clone the repo
git clone --depth 1 https://github.com/human-avatar/skills-for-humanity

Made for: Claude Code.

Or install skills-for-humanity, the plugin that ships this one along with the rest of its 197 skills, 1 hook.

Wrote 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.

agentmods badge for s4h-evolution-niche

README.md
[![agentmods](https://agentmods.dev/badge/skills/human-avatar/skills-for-humanity/s4h-evolution-niche/github.svg)](https://agentmods.dev/skills/human-avatar/skills-for-humanity/s4h-evolution-niche)
Your own site
<a href="https://agentmods.dev/skills/human-avatar/skills-for-humanity/s4h-evolution-niche"><img src="https://agentmods.dev/badge/skills/human-avatar/skills-for-humanity/s4h-evolution-niche/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.

agentmods 80×15 button for s4h-evolution-niche

Your own site · 80×15
<a href="https://agentmods.dev/skills/human-avatar/skills-for-humanity/s4h-evolution-niche"><img src="https://agentmods.dev/badge/skills/human-avatar/skills-for-humanity/s4h-evolution-niche.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 80 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,994 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe. Third-party audits
  • NVIDIA SkillSpector pass 7 Sept 2026
How audits are shown
Origin original No closer match found in the catalogue.
Token cost

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.

ModelPer sessionOnce invoked
Fable 5.1 $0.00080 $0.01994
Opus 5 $0.00040 $0.00997
Sonnet 5 $0.00016 $0.00399
Haiku 4.5 $0.00008 $0.00199

Measured 9d ago against content hash 67930a36ffa3, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-12, from the pricing page.

Security

Grade A, and why

s4h-evolution-niche 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.

skills/s4h-evolution-niche/SKILL.md · 136 lines

How it starts

The opening of the file, as written. The whole thing — 136 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Evolution: Niche

Georgy Gause's competitive exclusion principle, derived from experiments with paramecia in 1934, established one of ecology's foundational rules: two species competing for the same limiting resource in exactly the same way cannot stably coexist. One will outcompete the other and drive it to extinction — or one must shift to a different resource, time, place, or method. The principle is both a constraint and an invitation: coexistence requires differentiation.

The concept of the ecological niche — formalised by G. Evelyn Hutchinson as an n-dimensional hypervolume in which a species can maintain a viable population — gives the principle practical teeth. Every dimension of the environment that a species uses or is affected by defines one axis of its niche. Species can coexist when their niches overlap little enough on at least one critical axis. The axes are the dimensions of differentiation: what resource is used, when, where, and how.

This tool applies niche theory to competitive strategy. It identifies the dimensions along which players in a system compete, maps the niche each occupies, measures overlap, and identifies where differentiation creates space for coexistence or where displacement is the likely outcome. Stuart Kauffman's work on adjacent possibles adds a further dimension: the unoccupied niches that exist at the edge of current competition, waiting to be colonised by sufficiently novel variants.


Your Process

Step 1: Define the Competitive Space Identify who is competing in this system. List all meaningful players — current competitors, potential entrants, substitute strategies. Then name the resources or outcomes they are competing for: what is the limiting factor that determines fitness? In ecology, this might be food, territory, nesting sites; in business, it might be customer attention, talent, regulatory capacity, margin, or a specific buyer segment.

Framing check: Confirm the competitive arena before continuing. State the players, the limiting resource, and the time frame in one sentence, then use AskUserQuestion:

  • Question: "I'm reading this as: [one sentence naming who is competing, for what limiting resource, and over what time frame]. 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

Read the full file on GitHub · 136 lines

Changes

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.

  1. 9d ago First seen · 136 lines · 80 tokens per session scan A 67930a36ffa3

Subscribe to this mod's changes

s4h-evolution-niche is a skill published in the GitHub repository human-avatar/skills-for-humanity (223 stars, last pushed 1mo ago), licensed MIT. It adds 80 tokens to every session and 1,994 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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