SKILLEMALL.ai
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BC bot-arcade

Universal entertainment and gaming engine for AI agents. Turns any bot into a full arcade — emoji slots, trivia, word games, riddles, dice, fortune drops, scratch cards, boss raids, tournaments, and prediction arenas. Zero external APIs. Zero cost. Pure engagement. Use when: user wants to play games, have fun, be entertained, run group games, host tournaments, check leaderboards, or any entertainment request. Also activates on boredom cues, celebration moments, or competitive banter in group chats.

modbender/skill-library-mcp Agent Skills author: modbender MIT 6 files body ≈ 5 295 tokens Open the sourcegithub.com↗ analyzed 2 d ago

Universal entertainment and gaming engine for AI agents.

As a process C 50/100 · Has gaps — weak spots: when it triggers, inputs and preconditions, failures and branches

ProcedureAI and agentsSoftware developmenttype and topics are labelled automatically from the skill text
Runs in: OpenClaw Claude / Claude Code ChatGPT / Codex Gemini CLI Cursor GitHub Copilot / VS Code Qwen Code Kimi Code CLI Z.ai (GLM) DeepSeek (Deep Code) Mistral Vibe LangChain (deepagents) Goose OpenCode
JSON
Technical rating
B
89/100
safety, quality, tests
Safety 60%
100
Quality 40%
73
Run on models
none yet
Process rating
C
50/100
Has gaps
Inputs and preconditions w 11
0
Failures and branches w 10
0
Progress reporting w 2
0
the three weakest of ten parameters · all ten

How to improve

  1. The SKILL.md body is over 5,000 tokens: move reference detail into references/ and load it when needed.
For the model run — optional
  • Your own cases (evals/evals.json, 4–6 real requests with expected answers): the full check would then run those instead of a model-drafted suite.
  • A spec.yaml with trigger phrases and assertions — a behaviour contract for CI; `skilltest init` writes a template.

Guard findings · 0

✓ No critical or high findings

Files scanned: 6. Evidence is masked. Grey chips explain why severity was lowered.

Against the Agent Skills spec

  • warning body-long SKILL.md body ≈ 5295 tokens (recommended < 5000); move details to references/
  • note frontmatter-key unknown frontmatter key "homepage"

Process rating: all ten parameters 50/100

  • 0Inputs and preconditions. Does not say what the process needs to start
  • 0Failures and branches. Linear process with no failure handling
  • 0Progress reporting. Says nothing while it works
  • 20When it triggers. No condition that starts the skill
  • 30Running it twice. 8 mutating operations with no state check
  • 40Consistency. Frontmatter name (bot-arcade) differs from the folder (opendawg)
  • 60Result and completion. Output format stated, no completion criterion
  • 70Execution cost. Instruction body is 5295 tokens
  • 85Steps. 72 steps, 1 vague phrases
  • 100Tools and files. No external tools needed
  • low 29 top-level sections: this looks like several domains in one skill

Everything here is measured from the skill text rather than judged by a model, so the numbers are checkable. A parameter weighs more when it is a more common reason for the process to stall.

Quality signals

  • +5Description has no quoted example phrases that should trigger the skill
  • +4Description does not say when NOT to use the skill (false activations)
  • -246 emoji in the instructions: noise for the model
  • -43 reference files, but SKILL.md never points to them: the model will not open them
  • +1No license
  • +2Single-language instructions
  • +3Description length 503: enough signal without eating the budget
  • +4Structure: 71 headings
  • +3Step-by-step instructions: 72 items
  • +3Output format is stated explicitly
  • +4Has examples (17 code blocks)
  • +3All 1 scripts are documented

Quality base 70; lint remarks subtract, signals add up to 100. Result: 73.