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 protoLabsAI/mythx-mcp --skill augment-worldgit clone --depth 1 https://github.com/protoLabsAI/mythx-mcpWrote 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/protolabsai/mythx-mcp/augment-world)<a href="https://agentmods.dev/skills/protolabsai/mythx-mcp/augment-world"><img src="https://agentmods.dev/badge/skills/protolabsai/mythx-mcp/augment-world/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/protolabsai/mythx-mcp/augment-world"><img src="https://agentmods.dev/badge/skills/protolabsai/mythx-mcp/augment-world.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 | $0.00026 | $0.01763 |
| Opus 5 | $0.00013 | $0.00881 |
| Sonnet 5 | $0.00005 | $0.00353 |
| Haiku 4.5 | $0.00003 | $0.00176 |
Grade A, and why
augment-world 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 — 289 lines — stays where its author put it; the contents beside it link to each section on GitHub.
World Augmentation Flow
Guide users through adding new content to existing world packs.
Phase 1: Select World Pack
If no pack ID provided as argument:
- Call
mcp__rpg__list_world_packs()to get available packs - Use
AskUserQuestionto let user pick:
header: "World Pack"
question: "Which world do you want to add content to?"
options:
- label: "<pack.name>"
description: "<pack.tagline> - <counts summary>"
... for each pack
If pack ID provided, load it directly.
Phase 2: Load World Context
- Call
mcp__rpg__load_world_summary({ packId })to get current state - Display current content counts:
Current Content in <world name>:
- Archetypes: X
- Monsters: X
- Items: X
- NPCs: X
- Locations: X
- Encounters: X
Phase 3: Gather Requirements
Use AskUserQuestion to understand what user wants:
Step 1: Content Types
header: "Content Types"
question: "What do you want to add? (select all that apply)"
multiSelect: true
options:
- label: "Monsters"
description: "Enemies, creatures, threats"
- label: "Items"
description: "Weapons, armor, consumables, special items"
- label: "NPCs"
description: "Named characters, merchants, allies, villains"
- label: "Locations"
description: "New places to explore"
- label: "Encounters"
description: "Combat, social, or event encounters"
- label: "Archetypes"
description: "New playable character classes"
Step 2: Quantities
For each selected type, ask:
header: "Monsters"
question: "How many monsters do you want to add?"
options:
- label: "1-2"
description: "A specific threat or pair"
- label: "3-5"
description: "A small faction or group"
- label: "6-10"
description: "A full bestiary expansion"
Step 3: Theme (Optional)
header: "Theme"
question: "Is there a theme or focus for this content?"
options:
- label: "No specific theme"
description: "General content fitting the world"
- label: "Location-based"
description: "Content for a specific area"
- label: "Faction-based"
description: "Content tied to a group or organization"
- label: "Custom theme"
description: "Describe your own focus"
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 · 289 lines · 26 tokens per session scan A 21ea8a49ea55
augment-world is a skill published in the GitHub repository protoLabsAI/mythx-mcp (2 stars, last pushed 20d ago), licensed MIT. It adds 26 tokens to every session and 1,763 once invoked, about $0.0001 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.
Other skills, from other repositories
game-developer
Use when building game systems, implementing Unity/Unreal features, or optimizing game performance. Invoke for Unity, Unreal, game patterns, ECS, physics, networking, performance optimization.
ux-design
Guided, section-by-section UX spec authoring for a screen, flow, or HUD. Reads game concept, player journey, and relevant GDDs to provide context-aware design guidance. Produces ux-spec.md (per screen/flow) or hud-design.md using the studio templates.
architecture-review
Validates completeness and consistency of the project architecture against all GDDs. Builds a traceability matrix mapping every GDD technical requirement to ADRs, identifies coverage gaps, detects cross-ADR conflicts, verifies engine compatibility consistency across all decisions, and produces a PASS/CONCERNS/FAIL…
localize
Full localization pipeline: scan for hardcoded strings, extract and manage string tables, validate translations, generate translator briefings, run cultural/sensitivity review, manage VO localization, test RTL/platform requirements, enforce string freeze, and report coverage.
vertical-slice
Pre-Production validation — build a production-quality end-to-end build to confirm the full game loop is achievable before committing to Production. Run after GDDs, architecture, and UX specs are complete. Produces a PROCEED/PIVOT/KILL verdict that gates the Pre-Production → Production transition.
quick-design
Lightweight design spec for small changes — tuning adjustments, minor mechanics, balance tweaks. Skips full GDD authoring when a system GDD already exists or the change is too small to warrant one. Produces a Quick Design Spec that embeds directly into story files.