SKILLEMALL.ai

AC spraay-openclaw

Full Spraay x402 gateway interface for AI agents. Payments, DeFi, AI inference, and blockchain data in one skill. Batch payments and payroll, swap quotes, token prices, balance queries, 43+ AI models via Bittensor, ENS resolution, and chain data across Base, Ethereum, Arbitrum, Solana, and 7 more chains. Use when the user wants comprehensive Spraay gateway access covering payments, DeFi operations, AI generation, or on-chain queries.

ClawHub Agent Skills author: Plag v1.0.1 MIT-0 3 files body ≈ 1 360 tokens Open the sourceclawhub.ai analyzed 2 d ago

As a process C 62/100 · Has gaps — weak spots: result and completion, inputs and preconditions, running it twice

IntegrationAI and agentsInfrastructureFinancetype and topics are labelled automatically from the skill text
JSON
Technical rating
A
93/100
safety, quality, tests
Safety 60%
99
Quality 40%
83
Run on models
none yet
Process rating
C
62/100
Has gaps
Result and completion w 14
0
Inputs and preconditions w 11
0
Progress reporting w 2
0
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 · 1

    ✓ No critical or high findings

    Medium and low: 1
    • 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)
      Payment contract (Base): `0x16…eEC`
      quoted

    Files scanned: 3. Evidence is masked. Grey chips explain why severity was lowered.

    Against the Agent Skills spec

    • note frontmatter-key unknown frontmatter key "homepage"

    Process rating: all ten parameters 62/100

    • 0Result and completion. Does not say what the result is
    • 0Inputs and preconditions. Does not say what the process needs to start
    • 0Progress reporting. Says nothing while it works
    • 30Running it twice. 4 mutating operations with no state check
    • 50Failures and branches. 0 branches, has a failure section
    • 70When it triggers. States when to use, but not when not to
    • 100Tools and files. No external tools needed
    • 100Steps. 30 steps
    • 100Consistency. Name and required fields are in place
    • 100Execution cost. Instruction body is 1360 tokens
    • low 12 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 437: enough signal without eating the budget
    • +4Structure: 24 headings
    • +3Step-by-step instructions: 30 items
    • +4Has examples (12 code blocks)

    Quality base 70; lint remarks subtract, signals add up to 100. Result: 83.

    External checks

    ClawHub: clean
    This is a disclosed Spraay finance gateway skill that can help agents call payment, DeFi, AI, and blockchain endpoints, with clear warnings about real funds and confirmations.
    LLM: benign (high) · VirusTotal: · 19 Jun 2026