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 Hmbown/Wizards-of-the-Ghosts --skill naturegit clone --depth 1 https://github.com/Hmbown/Wizards-of-the-GhostsWrote 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/hmbown/wizards-of-the-ghosts/nature)<a href="https://agentmods.dev/skills/hmbown/wizards-of-the-ghosts/nature"><img src="https://agentmods.dev/badge/skills/hmbown/wizards-of-the-ghosts/nature/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/hmbown/wizards-of-the-ghosts/nature"><img src="https://agentmods.dev/badge/skills/hmbown/wizards-of-the-ghosts/nature.svg" alt="Reviewed on agentmods" width="80" height="20"></a>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 | $0.00070 | $0.00710 |
| Opus 5 | $0.00035 | $0.00355 |
| Sonnet 5 | $0.00014 | $0.00142 |
| Haiku 4.5 | $0.00007 | $0.00071 |
Grade A, and why
nature 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 — 67 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Nature
Understand organic, emergent, and ecosystem-scale systems that were not designed.
What This Skill Does
In D&D, Nature is knowledge of terrain, weather, plants, animals, and the natural world. The real-world version is understanding systems that emerged rather than were designed: markets, social networks, organizational cultures, open-source ecosystems, user behavior patterns, and any complex adaptive system where the whole is more than the sum of the parts. In this grimoire, Nature is treated as a metaphorical skill with a shipping-now delivery profile. Canonical reference input: Nature (skill).
When To Use
- You are analyzing a system that was not centrally designed — a market, community, ecosystem, or emergent pattern.
- A problem involves network effects, emergent behavior, or complex adaptive dynamics.
- You need to understand why an organic system behaves the way it does, without reducing it to a simple mechanism.
Prerequisites
- No extra runtime dependencies beyond Hermes Agent and the normal toolset for this session.
Procedure
- Restate the target, the success condition, and any no-touch boundaries before taking action.
- Identify the system and its key agents, resources, and feedback loops.
- Map the ecosystem: who/what interacts with whom/what, and what are the incentive structures?
- Identify emergent properties: behaviors that arise from interactions rather than from any single agent.
- Deliver the ecosystem analysis with a note on what is predictable and what is inherently chaotic.
- Package the result as the deliverables below, with confidence, assumptions, and unresolved risk called out explicitly.
Deliverables
- An ecosystem map: agents, resources, interactions, and feedback loops.
- Emergent properties and dynamics that cannot be predicted from individual components alone.
- A predictability assessment: what can be influenced and what must simply be adapted to.
Pitfalls / Guardrails
- Keep the metaphor anchored to a real mechanism instead of drifting into lore.
- Do not treat emergent systems as if they were engineered. They cannot be debugged the same way; they must be understood on their own terms.
- Resist the urge to oversimplify complex adaptive systems into neat causal chains.
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 · 67 lines · 70 tokens per session scan A 68ab0e9baa0d
nature is a skill published in the GitHub repository Hmbown/Wizards-of-the-Ghosts (107 stars, last pushed 5mo ago), licensed CC0-1.0. It adds 70 tokens to every session and 710 once invoked, about $0.0003 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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