SKILLEMALL.ai

AC solana-batch-payments

Batch send SOL, USDC, BONK, or any SPL token to up to 1,000 wallets in one request — plus Jupiter swap quotes, Helius portfolio lookups, and Pyth price feeds — via Spraay's x402 pay-per-call gateways. Non-custodial: the gateway returns unsigned transactions that YOUR wallet signs, so no private keys in env vars, no API keys, no accounts. Use when the user wants to airdrop tokens, do a mass payout, distribute community/creator rewards, pay a team or contributor list, batch send SOL or SPL tokens to many addresses, get a swap quote, check what tokens a wallet holds, or fetch Solana token prices. Pay per call with USDC on Solana via x402.

ClawHub Agent Skills author: Plag v1.0.0 MIT-0 4 files body ≈ 1 398 tokens Open the sourceclawhub.ai analyzed 2 d ago

Batch send SOL, USDC, BONK, or any SPL token to up to 1,000 wallets in one request — plus Jupiter swap quotes, Helius portfolio lookups, and Pyth price feeds…

As a process C 54/100 · Has gaps — weak spots: result and completion, inputs and preconditions, running it twice

IntegrationAI and agentstype and topics are labelled automatically from the skill text
JSON
Technical rating
A
93/100
safety, quality, tests
Safety 60%
97
Quality 40%
88
Run on models
none yet
Process rating
C
54/100
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 · 3

    ✓ No critical or high findings

    Medium and low: 3
    • low Secrets in code secret-high-entropy-token SKILL.md:80
      High-entropy token-like string (may be an id, hash or a credential) (quoted — discussed, not commanded)
      "mint": "DezX…263",
      quoted
    • low Secrets in code secret-high-entropy-token SKILL.md:83
      High-entropy token-like string (may be an id, hash or a credential) (quoted — discussed, not commanded)
      { "address": "9WzD…WWM", "amount": 1000 },
      quoted
    • low Secrets in code secret-high-entropy-token SKILL.md:84
      High-entropy token-like string (may be an id, hash or a credential) (quoted — discussed, not commanded)
      { "address": "7S3P…KFJ", "amount": 500 }
      quoted

    Files scanned: 4. 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 54/100

    • 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. 14 mutating operations with no state check
    • 50Failures and branches. 0 branches, has a failure section
    • 60Tools and files. Uses tools (bash, node) that frontmatter does not declare
    • 70When it triggers. States when to use, but not when not to
    • 100Steps. 15 steps
    • 100Consistency. Name and required fields are in place
    • 100Execution cost. Instruction body is 1398 tokens
    • 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

    • +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 643: enough signal without eating the budget
    • +4Structure: 11 headings
    • +3Step-by-step instructions: 15 items
    • +4Has examples (3 code blocks)
    • +3All 1 scripts are documented
    • +1License stated

    Quality base 70; lint remarks subtract, signals add up to 100. Result: 88.

    External checks

    ClawHub: clean
    The skill is a clearly disclosed Solana batch-payment helper with expected financial risk but no artifact-backed hidden or malicious behavior.
    LLM: benign (high) · VirusTotal: · 9 Jul 2026