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dojo-system

Create Dojo systems that implement game logic, modify model state, and handle player actions. Use when implementing game mechanics, player commands, or automated logic.

Install with Tessl CLI

npx tessl i github:steebchen/proof-of-war --skill dojo-system
What are skills?

79

1.69x

Does it follow best practices?

Evaluation95%

1.69x

Agent success when using this skill

Validation for skill structure

SKILL.md
Review
Evals

Evaluation results

91%

51%

Player Registration System

System structure and event emission

Criteria
Without context
With context

ModelStorage import

0%

100%

EventStorage import

0%

100%

Starknet imports

100%

100%

dojo::contract attribute

100%

100%

starknet::interface trait

0%

100%

abi(embed_v0) on impl

100%

100%

Event derives and attribute

100%

100%

Event key field

100%

100%

Event emitted with snapshot

0%

100%

world_default helper

0%

100%

write_model with snapshot

0%

100%

read_model usage

0%

0%

Without context: $0.3104 · 1m 16s · 19 turns · 25 in / 4,689 out tokens

With context: $0.1941 · 42s · 12 turns · 421 in / 2,371 out tokens

100%

23%

Tower Defense Combat System

Stateless design and input validation

Criteria
Without context
With context

ModelStorage import

0%

100%

Starknet imports

100%

100%

dojo::contract attribute

100%

100%

No stored state in contract

100%

100%

Read before modify

60%

100%

assert for action_points

100%

100%

assert for cooldown

100%

100%

Logic then write

80%

100%

write_model with snapshot

0%

100%

Single purpose system

100%

100%

starknet::interface defined

100%

100%

abi(embed_v0) on impl

100%

100%

Without context: $0.3055 · 1m 14s · 16 turns · 23 in / 4,026 out tokens

With context: $0.2331 · 43s · 13 turns · 175 in / 2,474 out tokens

96%

45%

Quest Issuance System

Unique IDs, permissions, and world_default helper

Criteria
Without context
With context

world.uuid() for ID

100%

100%

Per-model writers config

53%

100%

world_default helper

0%

100%

Namespace in world_default

0%

100%

ModelStorage import

0%

100%

Starknet imports

50%

50%

dojo::contract attribute

100%

100%

starknet::interface defined

0%

100%

abi(embed_v0) on impl

100%

100%

write_model with snapshot

100%

100%

Without context: $0.3697 · 1m 26s · 20 turns · 75 in / 5,300 out tokens

With context: $0.3646 · 1m 8s · 22 turns · 276 in / 3,658 out tokens

Evaluated
Agent
Claude Code
Model
Claude Sonnet 4.6

Table of Contents

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If you maintain this skill, you can claim it as your own. Once claimed, you can manage eval scenarios, bundle related skills, attach documentation or rules, and ensure cross-agent compatibility.