Creating role-play narratives, game scenarios, analytical reports, and evidence-backed design recommendations through a registry-based workflow.

It helps scenario designers organize research, connect findings to recommendations, and show the limits and sources behind their decisions.

How dungnotnull/game-roleplay-scenario-design-agent-skill configures C

Q: What is game-roleplay-scenario-design-agent-skill CLAUDE.md?

A structured research and writing skill for designing stories and scenarios for tabletop and role-playing game servers. It uses registered methods and evidence from reference and academic sources.

Reuse

Borrowing it

Nothing to install: this file belongs to dungnotnull/game-roleplay-scenario-design-agent-skill. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.

Copy the file

curl -O https://raw.githubusercontent.com/dungnotnull/game-roleplay-scenario-design-agent-skill/main/CLAUDE.md

Clone the repo

git clone --depth 1 https://github.com/dungnotnull/game-roleplay-scenario-design-agent-skill

Made for: Claude Code.

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.

README.md

[![agentmods](https://agentmods.dev/badge/instructions/dungnotnull/game-roleplay-scenario-design-agent-skill/claude-md/github.svg)](https://agentmods.dev/instructions/dungnotnull/game-roleplay-scenario-design-agent-skill/claude-md)

Your own site

<a href="https://agentmods.dev/instructions/dungnotnull/game-roleplay-scenario-design-agent-skill/claude-md"><img src="https://agentmods.dev/badge/instructions/dungnotnull/game-roleplay-scenario-design-agent-skill/claude-md/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.

Your own site · 80×15

<a href="https://agentmods.dev/instructions/dungnotnull/game-roleplay-scenario-design-agent-skill/claude-md"><img src="https://agentmods.dev/badge/instructions/dungnotnull/game-roleplay-scenario-design-agent-skill/claude-md.svg" alt="Reviewed on agentmods" width="80" height="20"></a>

Per session 2,321 This file is loaded in full into every session.

When invoked 2,321 The same file — it is already loaded in full.

Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe.

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.

Model	Per session	Once invoked
Fable 5.1	$0.02321	$0.02321
Opus 5	$0.01161	$0.01161
Sonnet 5	$0.00464	$0.00464
Haiku 4.5	$0.00232	$0.00232

Measured 10d ago against content hash 27bd9d8c2e52, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-10, from the pricing page.

Security

Grade A, and why

game-roleplay-scenario-design-agent-skill CLAUDE.md 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 10d 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.

CLAUDE.md · 225 lines

How it starts

The opening of the file, as written. The whole thing — 225 lines — stays where its author put it; the contents beside it link to each section on GitHub.

CLAUDE.md - Skill 205: game-roleplay-scenario-design

Skill Identity

Skill Name: game-roleplay-scenario-design
Tagline: Deep Roleplay Scenario Design for RP Game Servers - a registry-driven, evidence-backed Tabletop/RP Game Narrative & Scenario Design harness.
Current Phase: Phase 7 - Modular Skill-Registry Architecture
Folder: D:\972026\205-game-roleplay-scenario-design\
Version: v2.0.0

Problem This Skill Solves

This skill provides a structured, evidence-backed analytical workflow for Tabletop/RP Game Narrative & Scenario Design. It gathers authoritative real-time and reference data, applies recognized domain methods, cross-references academic research, and delivers actionable outputs that are fully evidenced, risk/limitation-disclosed, and traceable to authoritative sources - continuously self-improving through an automated knowledge crawl pipeline.

Architecture (v2.0.0 - Registry-Driven)

The harness is registry-driven. Three layers cooperate:

Declarative manifests - skills/registry.json (skills), config/tools.json (tools), config/hooks.json (hooks), validated against assets/schemas/*.schema.json.
LLM-facing skills - skills/*.md define persona, workflow, output format, and quality gates for model-driven execution.
Programmatic runtime - src/rpsd/ loads the manifests, resolves routes, validates I/O against JSON Schemas, fires hooks, invokes tools, and provides offline-safe handlers so the whole pipeline runs and is testable without an LLM or network.

See SKILL.md for the full registration/resolution/execution/validation contract.

Harness Flow

/game-roleplay-scenario-design invoked
|
+- Pre-Flight: language detection -> LANG
+- Step 0: sub-router          -> route[] (chain-of-thought)
+- Step 1: sub-gather-requirements   -> Requirements
+- Step 2: sub-evidence-collector    -> EvidenceBundle (degrades to KB at L2)
+- Step 3: sub-core-analysis         -> ScenarioDesign (G1-G4)
+- Step 4: sub-knowledge-updater     -> KnowledgeResult (tiers + gaps)
+- Step 5: sub-advisor               -> AdvisorConclusion (verdict + disclosure)
+- Step 6: quality gates U1-U6 + G1-G4 (auto-fix, 2 retries, limitation flags)
|
v
final report (declared template, risk-disclosed)

Read the full file on GitHub · 225 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.

10d ago First seen · 225 lines · 2,321 tokens per session scan A 27bd9d8c2e52

Subscribe to this mod's changes

game-roleplay-scenario-design-agent-skill CLAUDE.md is an instructions file published in the GitHub repository dungnotnull/game-roleplay-scenario-design-agent-skill (5 stars, last pushed 1mo ago), licensed MIT. It adds 2,321 tokens to every session, about $0.0116 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 2026-08-31.

Game development Writing and docs

next.js AGENTS.md

AGENTS.md instructions for vercel/next.js, covering next.js development guide, codebase structure, monorepo overview, core package: packages/next and other important packages.

vercel/next.js · 7,296 tokens

codex AGENTS.md

AGENTS.md instructions for openai/codex, covering rust/codex-rs, the codex-core crate, code review rules, crate api surface and model visible context.

openai/codex · 5,153 tokens

vscode buildNext.instructions.md

Working notes and architecture documentation for the new esbuild-based build system in build/next. Use when making changes to the new build pipeline (transpile/bundle commands, NLS plugin, source-map handling, resource copying, or self-hosting watch tasks).

microsoft/vscode · 6,785 tokens

game-roleplay-scenario-design-agent-skill: Instructions file for Claude Code