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.
curl -O https://raw.githubusercontent.com/dungnotnull/game-roleplay-scenario-design-agent-skill/main/CLAUDE.mdgit clone --depth 1 https://github.com/dungnotnull/game-roleplay-scenario-design-agent-skillWrote 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/instructions/dungnotnull/game-roleplay-scenario-design-agent-skill/claude-md)<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.
<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>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 5.5 | $0.00928 | $0.00928 |
| Sonnet 5.5 | $0.00464 | $0.00464 |
| Haiku 4.5 | $0.00232 | $0.00232 |
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 2mo 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 — 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 againstassets/schemas/*.schema.json. - LLM-facing skills -
skills/*.mddefine 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)
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.
- 2mo ago First seen · 225 lines · 2,321 tokens per session scan A 27bd9d8c2e52
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 3mo ago), licensed MIT. It adds 2,321 tokens to every session, about $0.0093 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 2026-08-31.
game-roleplay-scenario-design-agent-skill CLAUDE.md compared with instructions from other repositories
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|---|---|---|---|---|---|---|---|
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