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BC monad-wordle

Play a 5-letter Wordle game on the Monad blockchain using $WORDLE tokens. Start games, submit guesses, and retrieve game state via HTTP API.

modbender/skill-library-mcp Agent Skills author: modbender MIT 1 file body ≈ 2 300 tokens Open the sourcegithub.com↗ analyzed 2 d ago

Play a 5-letter Wordle game on the Monad blockchain using $WORDLE tokens.

As a process C 59/100 · Has gaps — weak spots: result and completion, when it triggers, consistency

IntegrationSoftware developmentAI and agentstype 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
86/100
safety, quality, tests
Safety 60%
95
Quality 40%
73
Run on models
none yet
Process rating
C
59/100
Has gaps
Result and completion w 14
0
Progress reporting w 2
0
When it triggers w 12
20
the three weakest of ten parameters · all ten

How to improve

  1. Say in the description WHEN to use the skill ("use when…", example requests): that is the agent's main cue.
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 · 5

✓ No critical or high findings

Medium and low: 5
  • low Secrets in code secret-high-entropy-token SKILL.md:11
    High-entropy token-like string (may be an id, hash or a credential)
    address: 0x14…297
  • low Secrets in code secret-high-entropy-token SKILL.md:13
    High-entropy token-like string (may be an id, hash or a credential)
    address: 0xAf…777
  • low Secrets in code secret-high-entropy-token SKILL.md:71
    High-entropy token-like string (may be an id, hash or a credential) (quoted — discussed, not commanded)
    - Address: `0xAf…777`
    quoted
  • low Secrets in code secret-high-entropy-token SKILL.md:76
    High-entropy token-like string (may be an id, hash or a credential) (quoted — discussed, not commanded)
    - Address: `0x14…297`
    quoted
  • low Secrets in code secret-high-entropy-token SKILL.md:91
    High-entropy token-like string (may be an id, hash or a credential) (quoted — discussed, not commanded)
    DEX_ROUTER: "0x0B…137",
    quoted

Files scanned: 1. Evidence is masked. Grey chips explain why severity was lowered.

Against the Agent Skills spec

  • warning description-no-when description does not say WHEN to use the skill (no "use when")

Process rating: all ten parameters 59/100

  • 0Result and completion. Does not say what the result is
  • 0Progress reporting. Says nothing while it works
  • 20When it triggers. No condition that starts the skill
  • 30Running it twice. 2 mutating operations with no state check
  • 40Consistency. Frontmatter name (monad-wordle) differs from the folder (monad-wordle-game)
  • 50Failures and branches. 0 branches, has a failure section
  • 70Inputs and preconditions. Inputs and preconditions are listed
  • 100Tools and files. No external tools needed
  • 100Steps. 37 steps
  • 100Execution cost. Instruction body is 2300 tokens

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)
  • +3Output format is not stated: the model decides each time
  • +2Single-language instructions
  • +3Description length 140: enough signal without eating the budget
  • +4Structure: 22 headings
  • +3Step-by-step instructions: 37 items
  • +4Has examples (14 code blocks)
  • +1License stated

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