AB sushiswap-api
REST API for optimized token swapping (including executable transaction generation), swap quoting, and pricing using the SushiSwap Aggregator. Use this skill when the user wants to: - Get a swap quote between two tokens on 40+ evm networks - Generate executable swap transaction data - Fetch token prices for a specific network or token - Retrieve token metadata - Discover supported AMM liquidity sources - Integrate SushiSwap swapping or pricing logic via HTTP/REST (and not the SushiSwap Javascript API)
As a process B 69/100 · Nearly there — weak spots: result and completion, inputs and preconditions, progress reporting
How to improve
- 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 · 6
✓ No critical or high findings
Medium and low: 6
-
low Secrets in code
secret-high-entropy-tokenreferences/openapi.yaml:251High-entropy token-like string (may be an id, hash or a credential) (quoted — discussed, not commanded)- address: '0xEe…EeE'
quoted -
low Secrets in code
secret-high-entropy-tokenreferences/openapi.yaml:255High-entropy token-like string (may be an id, hash or a credential) (quoted — discussed, not commanded)- address: '0xC0…Cc2'
quoted -
low Secrets in code
secret-high-entropy-tokenreferences/openapi.yaml:259High-entropy token-like string (may be an id, hash or a credential) (quoted — discussed, not commanded)- address: '0x6B…fE2'
quoted -
low Secrets in code
secret-high-entropy-tokenreferences/openapi.yaml:316High-entropy token-like string (may be an id, hash or a credential) (quoted — discussed, not commanded)- address: '0xEe…EeE'
quoted -
low Secrets in code
secret-high-entropy-tokenreferences/openapi.yaml:320High-entropy token-like string (may be an id, hash or a credential) (quoted — discussed, not commanded)- address: '0xC0…Cc2'
quoted -
low Obfuscation
obf-base64-blobreferences/openapi.yaml:339Long base64-looking blob (quoted — discussed, not commanded)data: "0x5f…15d
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 69/100
- 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
- 70When it triggers. States when to use, but not when not to
- 100Tools and files. No external tools needed
- 100Steps. 16 steps
- 100Failures and branches. 1 branches, has a failure section
- 100Consistency. Name and required fields are in place
- 100Execution cost. Instruction body is 624 tokens
- 100Running it twice. No mutating operations
- 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
- +1No license
- +2Single-language instructions
- +3Description length 506: enough signal without eating the budget
- +4Structure: 10 headings
- +3Step-by-step instructions: 16 items
- +4Has examples (1 code blocks)
- +4Reference files are cited in the instructions (1 of 1)
Quality base 70; lint remarks subtract, signals add up to 100. Result: 88.