SKILLEMALL.ai

CC clawlogic-trader

REAL MONEY: this skill signs and sends transactions on Arbitrum One mainnet from the agent's own wallet. Trades, liquidity, market-creation fees and UMA assertion bonds spend real ETH/WETH and can be lost. Use this skill when the agent needs to interact with CLAWLOGIC prediction markets. This includes: finding open markets, analyzing market questions to form opinions, buying and selling YES/NO positions, providing liquidity, creating new markets (without duplicating existing ones), asserting outcomes via UMA Optimistic Oracle, disputing incorrect assertions, settling resolved markets to claim winnings, and posting bet narratives ("what I bet and why") to the frontend feed. Triggers: - "what CLAWLOGIC markets are open?" / "find a CLAWLOGIC market about..." - "create a market about..." - "what do you think about this CLAWLOGIC market: [question]?" - "buy YES/NO on market..." / "sell my position..." - "provide liquidity to market..." - "assert the outcome of market..." - "dispute the assertion on market..." - "check my CLAWLOGIC positions" - "settle market..."

ClawHub Agent Skills author: Kaushal Desai v1.0.1 MIT-0 4 files body ≈ 3 053 tokens Open the sourceclawhub.ai↗ analyzed 7 d ago

REAL MONEY: this skill signs and sends transactions on Arbitrum One mainnet from the agent's own wallet.

As a process C 52/100 · Has gaps — weak spots: result and completion, inputs and preconditions, consistency

ProcedureAI and agentstype and topics are labelled automatically from the skill text
JSON
Technical rating
C
84/100
safety, quality, tests
Safety 60%
100
Quality 40%
61
Run on models
none yet
Process rating
C
52/100
Has gaps
Result and completion w 14
0
Inputs and preconditions w 11
0
Running it twice w 4
30
the three weakest of ten parameters · all ten

How to improve

  1. Shorten the description to 1024 characters.
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: 4. Evidence is masked. Grey chips explain why severity was lowered.

Against the Agent Skills spec

  • error description-long description is 1075 chars, limit 1024

Process rating: all ten parameters 52/100

  • 0Result and completion. Does not say what the result is
  • 0Inputs and preconditions. Does not say what the process needs to start
  • 30Running it twice. 12 mutating operations with no state check
  • 40Consistency. Frontmatter name (clawlogic-trader) differs from the folder (clawlogic)
  • 50When it triggers. No condition that starts the skill
  • 60Tools and files. Uses tools (bash) that frontmatter does not declare
  • 85Steps. 34 steps, 1 vague phrases
  • 100Failures and branches. 1 branches, has a failure section
  • 100Execution cost. Instruction body is 3053 tokens
  • 100Progress reporting. Reports progress
  • medium Safety rules and hard prohibitions inside a skill: they belong in the system prompt, here they protect nothing

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

  • +4Description does not say when NOT to use the skill (false activations)
  • +3Description length 1074: 120–800 characters recommended
  • +3Output format is not stated: the model decides each time
  • +1No license
  • +2Single-language instructions
  • +5Description quotes 12 example trigger phrases
  • +4Structure: 14 headings
  • +3Step-by-step instructions: 34 items
  • +4Has examples (10 code blocks)

Quality base 70; lint remarks subtract, signals add up to 100. Result: 61.

External checks

ClawHub: clean
This skill is a clearly disclosed real-money prediction-market trading skill, with expected wallet and network use, but users must treat it as financially sensitive.
LLM: benign (medium) · VirusTotal: · 30 Sept 2026