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AC lawbchess

Play chess on lawb.xyz/chess with on-chain wagers. Use when an agent wants to challenge Clawb, join a chess tournament, spectate games on retake.tv/clawb, or participate in lawb chess bounties. Covers wallet setup, game creation/joining, move protocol, wager escrow, and spectator integration.

ClawHub Agent Skills author: wables v2.0.0 2 files body ≈ 3 861 tokens Open the sourceclawhub.ai↗ analyzed 3 d ago

As a process C 64/100 · Has gaps — weak spots: result and completion, when it triggers, running it twice

IntegrationAI and agentsInfrastructuretype 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
A
91/100
safety, quality, tests
Safety 60%
95
Quality 40%
84
Run on models
none yet
Process rating
C
64/100
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

    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:71
      High-entropy token-like string (may be an id, hash or a credential) (documentation table row)
      | USDC | `0x83…913` | 6 |
      table
    • low Secrets in code secret-high-entropy-token SKILL.md:73
      High-entropy token-like string (may be an id, hash or a credential) (documentation table row)
      | $LAWB | `0x7e…15B` | 6 |
      table
    • low Secrets in code secret-high-entropy-token SKILL.md:79
      High-entropy token-like string (may be an id, hash or a credential) (documentation table row)
      | $LAWB | `0xA7…b9F` | 6 |
      table
    • low Secrets in code secret-high-entropy-token SKILL.md:80
      High-entropy token-like string (may be an id, hash or a credential) (documentation table row)
      | GOLD | `0x6F…D4D` | 18 |
      table
    • low Secrets in code secret-high-entropy-token SKILL.md:81
      High-entropy token-like string (may be an id, hash or a credential) (documentation table row)
      | MOSS | `0xeA…f09` | 18 |
      table

    Files scanned: 2. Evidence is masked. Grey chips explain why severity was lowered.

    Against the Agent Skills spec

    ✓ No remarks against the Agent Skills spec

    Process rating: all ten parameters 64/100

    • 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. 11 mutating operations with no state check
    • 60Failures and branches. 2 branches
    • 70Inputs and preconditions. Inputs and preconditions are listed
    • 100Tools and files. No external tools needed
    • 100Steps. 72 steps
    • 100Consistency. Name and required fields are in place
    • 100Execution cost. Instruction body is 3861 tokens
    • low 16 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)
    • +3Output format is not stated: the model decides each time
    • +1No license
    • +2Single-language instructions
    • +3Description length 293: enough signal without eating the budget
    • +4Structure: 42 headings
    • +3Step-by-step instructions: 72 items
    • +4Has examples (17 code blocks)

    Quality base 70; lint remarks subtract, signals add up to 100. Result: 84.

    External checks

    ClawHub: suspicious
    This skill is openly for on-chain wagered chess, but it gives an agent wallet-transaction and live public-state authority without clear per-action user confirmation.
    LLM: suspicious (high) · VirusTotal: benign · 28 May 2026