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 rondorkerin/gamestack --skill systemic-emergent-designgit clone --depth 1 https://github.com/rondorkerin/gamestackWrote 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/rondorkerin/gamestack/systemic-emergent-design)<a href="https://agentmods.dev/skills/rondorkerin/gamestack/systemic-emergent-design"><img src="https://agentmods.dev/badge/skills/rondorkerin/gamestack/systemic-emergent-design/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/rondorkerin/gamestack/systemic-emergent-design"><img src="https://agentmods.dev/badge/skills/rondorkerin/gamestack/systemic-emergent-design.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 | $0.00200 | $0.00901 |
| Opus 5 | $0.00100 | $0.00451 |
| Sonnet 5 | $0.00040 | $0.00180 |
| Haiku 4.5 | $0.00020 | $0.00090 |
Grade A, and why
systemic-emergent-design 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 11d 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 — 40 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Systemic-Emergent Design
How to author affordances, not solutions: a small set of consistent, deeply-simulated, interacting rules that produce more meaningful play than any volume of scripted content — and, for a procedural/AI-authored game, the only thing that makes generated content cohere rather than collapse into "10,000 bowls of oatmeal."
When to use this
- Designing the rule substrate / "chemistry engine" before authoring or generating content
- Deciding whether to add a system, a verb, or a scripted set-piece
- Auditing for emergence: are systems actually interacting, or siloed behind scripts?
- Making procedural generation produce perceptual variety, not just numerical variety
- Diagnosing: "the world feels inert", "all variety is scripted", "every generated quest is the same", single-solution gates
Scope
This skill owns the emergence-from-interacting-systems discipline. Adjacent concerns live in sibling skills, cross-linked from the guide:
- The "interesting decision" test and general theory →
game-design-fundamentals - Perceptual uniqueness, the oatmeal problem, handcrafted-anchor + constrained-fill →
procedural-generation,procgen-review - Combat verbs, telegraphing, the feel of interactions →
combat-design - Currencies/items as systemic chains (currency-as-material) →
rpg-systems - The spatial affordances systems act on →
open-world-design - Quests that emerge vs. branch →
narrative-and-quest-design
How the pieces fit
GUIDE.md— the cited why, in five sub-domains: the immersive-sim lineage (universal rules; intention & perceivable consequence), emergence from few deep systems vs. scripted events, the "good GM" analogy and its honest limit, multiplicative vs. additive design (Nintendo's chemistry engine), and how emergence + procedural generation multiply each other. Each rule carries an exemplar, source, test-for criterion, named failure mode, and the procedural/headless implication.CHECKLIST.md— Do/Don't + machine-checkable Test-for criteria, grouped by sub-domain, written to be enforced as automated gates in a generation loop.
What ships with it
2 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.
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.
- 11d ago First seen · 40 lines · 200 tokens per session scan A 8e6b4d63e066
systemic-emergent-design is a skill published in the GitHub repository rondorkerin/gamestack (28 stars, last pushed 2mo ago), licensed MIT. It adds 200 tokens to every session and 901 once invoked, about $0.0010 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.
Other skills, from other repositories
pkpd-modeling
Pharmacokinetic and pharmacodynamic modelling and simulation - non-compartmental analysis, compartmental and population PK, PK/PD and exposure-response, TMDD, PBPK orientation, bioequivalence, allometric scaling and first-in-human dose, drug interaction prediction, and Bayesian therapeutic drug monitoring. Use when…
biopython
Comprehensive molecular biology toolkit. Use for sequence manipulation, file parsing (FASTA/GenBank/PDB), phylogenetics, and programmatic NCBI/PubMed access (Bio.Entrez). Best for batch processing, custom bioinformatics pipelines, BLAST automation. For quick lookups use gget; for multi-service integration use…
neuropixels-analysis
Analyze Neuropixels extracellular recordings end-to-end with SpikeInterface. Covers loading SpikeGLX/Open Ephys/NWB data, preprocessing, drift/motion correction, Kilosort4 (and CPU) spike sorting, quality metrics, and unit curation (threshold-based, model-based UnitRefine, and AI-assisted visual review). Use when…
onekgpd
Query the 1000 Genomes Project dataset (3,202 whole-genome-sequenced individuals, GRCh38) at the level of individual participants. Use when a question is about individuals or variants in the 1000 Genomes Project cohort: which individuals carry variants matching specific criteria in a gene or region, which individuals…
pydicom
Use pydicom to read, inspect, write, transform, and safely preflight local DICOM datasets and pixel data. Applies to DICOM metadata, transfer syntaxes, compression plugins, frames, private elements, JSON, and bounded de-identification review.
clinical-decision-support
Prepare and validate research-only clinical decision-support evaluation, evidence-profile, cohort, survival, biomarker/model, privacy, and governance artifacts. Use for aggregate or synthetic research documentation and traceability—not patient care or live clinical operation.