SKILLEMALL.ai

AB spanDEX-agentic-swap

Fetch token swap quotes and executable calldata from the spanDEX API. Use when a user wants to swap tokens, get best price or fastest routing, and receive wallet-ready EVM transaction payloads. Quotes can be fetched independently; execution requires the Privy skill and is strongly recommended with onchain-verify-transaction for calldata verification.

ClawHub Agent Skills author: dougalcantara v0.4.1 MIT-0 5 files body ≈ 2 629 tokens Open the sourceclawhub.ai analyzed 3 d ago

As a process B 73/100 · Nearly there — weak spots: inputs and preconditions

IntegrationInfrastructureAI and agentstype and topics are labelled automatically from the skill text
JSON
Technical rating
A
93/100
safety, quality, tests
Safety 60%
98
Quality 40%
85
Run on models
none yet
Process rating
B
73/100
Nearly there
Inputs and preconditions w 11
0
Tools and files w 18
60
Result and completion w 14
60
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 · 2

    ✓ No critical or high findings

    Medium and low: 2
    • low Secrets in code secret-high-entropy-token references/tokens.md:7
      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 references/tokens.md:9
      High-entropy token-like string (may be an id, hash or a credential) (documentation table row)
      | ETH (native) | `0xEe…EeE` | 18 |
      table

    Files scanned: 5. Evidence is masked. Grey chips explain why severity was lowered.

    Against the Agent Skills spec

    • warning name-format name should be kebab-case (lowercase letters, digits, hyphens)
    • note frontmatter-key unknown frontmatter key "homepage"

    Process rating: all ten parameters 73/100

    • 0Inputs and preconditions. Does not say what the process needs to start
    • 60Tools and files. Uses tools (web) that frontmatter does not declare
    • 60Result and completion. Output format stated, no completion criterion
    • 70When it triggers. States when to use, but not when not to
    • 100Steps. 40 steps
    • 100Failures and branches. 13 branches, has a failure section
    • 100Consistency. Name and required fields are in place
    • 100Execution cost. Instruction body is 2629 tokens
    • 100Running it twice. Mutating operations check current state
    • 100Progress reporting. Reports progress
    • medium Safety rules and hard prohibitions inside a skill: they belong in the system prompt, here they protect nothing
    • low The response is described with custom markup (3 tags): a typed call is more reliable

    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)
    • +1No license
    • +2Single-language instructions
    • +3Description length 352: enough signal without eating the budget
    • +4Structure: 21 headings
    • +3Step-by-step instructions: 40 items
    • +3Output format is stated explicitly
    • +4Has examples (5 code blocks)
    • +4Reference files are cited in the instructions (2 of 2)

    Quality base 70; lint remarks subtract, signals add up to 100. Result: 85.

    External checks

    ClawHub: suspicious
    This skill is transparent about crypto swaps, but it needs review because it can send real wallet transactions with reduced verification and no extra confirmation in one fallback path.
    LLM: suspicious (high) · VirusTotal: · 29 May 2026