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AD sushiswap-sdk

TypeScript SDK for interacting with the SushiSwap Aggregator and related primitives. This SDK is a typed wrapper over the SushiSwap API, providing ergonomic helpers for token amounts, prices, quotes, and swap transaction generation. USE THIS SKILL WHEN: - Building TypeScript or JavaScript applications - You want strongly typed token, amount, and fraction primitives - You need to request swap quotes or executable swap transactions via code - You want safer arithmetic, formatting, and comparisons without floating point errors - You prefer SDK-based integration over raw HTTP requests

modbender/skill-library-mcp Agent Skills author: modbender MIT 2 files body ≈ 767 tokens Open the sourcegithub.com↗ analyzed 2 d ago

TypeScript SDK for interacting with the SushiSwap Aggregator and related primitives.

As a process D 46/100 · Unfinished process — weak spots: result and completion, when it triggers, inputs and preconditions

IntegrationSoftware developmenttype and topics are labelled automatically from the skill text
Runs in: OpenClaw Claude / Claude Code ChatGPT / Codex Gemini CLI Cursor GitHub Copilot / VS Code Qwen Code Kimi Code CLI Z.ai (GLM) DeepSeek (Deep Code) Mistral Vibe LangChain (deepagents) Goose OpenCode
JSON
Technical rating
A
93/100
safety, quality, tests
Safety 60%
96
Quality 40%
88
Run on models
none yet
Process rating
D
46/100
Unfinished process
Result and completion w 14
0
Inputs and preconditions w 11
0
Failures and branches w 10
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 · 4

    ✓ No critical or high findings

    Medium and low: 4
    • low Secrets in code secret-high-entropy-token references/REFERENCE.md:24
      High-entropy token-like string (may be an id, hash or a credential) (quoted — discussed, not commanded)
      tokenIn: '0xEe…EeE',
      quoted
    • low Secrets in code secret-high-entropy-token references/REFERENCE.md:25
      High-entropy token-like string (may be an id, hash or a credential) (quoted — discussed, not commanded)
      tokenOut: '0x6B…fE2',
      quoted
    • low Secrets in code secret-high-entropy-token references/REFERENCE.md:53
      High-entropy token-like string (may be an id, hash or a credential) (quoted — discussed, not commanded)
      tokenIn: '0xEe…EeE',
      quoted
    • low Secrets in code secret-high-entropy-token references/REFERENCE.md:54
      High-entropy token-like string (may be an id, hash or a credential) (quoted — discussed, not commanded)
      tokenOut: '0x6B…fE2',
      quoted

    Files scanned: 2. 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 46/100

    • 0Result and completion. Does not say what the result is
    • 0Inputs and preconditions. Does not say what the process needs to start
    • 0Failures and branches. Linear process with no failure handling
    • 0Progress reporting. Says nothing while it works
    • 20When it triggers. No condition that starts the skill
    • 60Tools and files. Uses tools (web) that frontmatter does not declare
    • 100Steps. 16 steps
    • 100Consistency. Name and required fields are in place
    • 100Execution cost. Instruction body is 767 tokens
    • 100Running it twice. No mutating operations

    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 587: enough signal without eating the budget
    • +4Structure: 9 headings
    • +3Step-by-step instructions: 16 items
    • +4Has examples (5 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.