SKILLEMALL.ai

AC ditto-workflow

Creates, configures, and deploys on-chain automation workflows using the Ditto Network SDK. Use when the user asks to "create a workflow", "automate on-chain", "schedule transactions", "deploy a workflow", "set up recurring transfers", "swap tokens on a schedule", "automate DeFi", "create a cron job on-chain", "trigger on event", or mentions "Ditto Network". Handles workflow building, IPFS upload, on-chain registration, simulation, and cancellation. Do NOT use for general smart contract development unrelated to Ditto workflows.

LeoYeAI/openclaw-master-skills Agent Skills author: LeoYeAI MIT 2 files body ≈ 4 257 tokens Open the sourcegithub.com analyzed 3 d ago

Creates, configures, and deploys on-chain automation workflows using the Ditto Network SDK.

As a process C 61/100 · Has gaps — weak spots: result and completion, inputs and preconditions, consistency

ProcedureInfrastructuretype and topics are labelled automatically from the skill text
JSON
Technical rating
A
96/100
safety, quality, tests
Safety 60%
98
Quality 40%
94
Run on models
none yet
Process rating
C
61/100
Has gaps
Result and completion w 14
0
Inputs and preconditions w 11
0
Consistency w 8
40
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 SKILL.md:151
      High-entropy token-like string (may be an id, hash or a credential) (quoted — discussed, not commanded)
      const ecdsaValidator = await signerToEcdsaValidator(publicClient, { signer: owner, entryPoint: { address: '0x00…032', version: '0.7' } });
      quoted
    • low Secrets in code secret-high-entropy-token SKILL.md:152
      High-entropy token-like string (may be an id, hash or a credential) (quoted — discussed, not commanded)
      const kernelAccount = await createKernelAccount(publicClient, { plugins: { sudo: ecdsaValidator }, entryPoint: { address: '0x00…032', version: '0.7' } });
      quoted

    Files scanned: 2. Evidence is masked. Grey chips explain why severity was lowered.

    Against the Agent Skills spec

    • note edit-residue the text marks something as outdated (lines 179): check that old rules are not kept next to new ones — the full check reads the text for contradictions

    Process rating: all ten parameters 61/100

    • 0Result and completion. Does not say what the result is
    • 0Inputs and preconditions. Does not say what the process needs to start
    • 40Consistency. Frontmatter name (ditto-workflow) differs from the folder (workflow-automation-evm-wallets)
    • 60Tools and files. Uses tools (node) that frontmatter does not declare
    • 70Execution cost. Instruction body is 4257 tokens
    • 100Steps. 28 steps
    • 100When it triggers. States when to use and when not to
    • 100Failures and branches. 1 branches, has a failure section
    • 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 14 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

    • +3Output format is not stated: the model decides each time
    • +2Single-language instructions
    • +5Description quotes 10 example trigger phrases
    • +4Description says when NOT to use the skill
    • +3Description length 533: enough signal without eating the budget
    • +4Structure: 35 headings
    • +3Step-by-step instructions: 28 items
    • +4Has examples (18 code blocks)
    • +1License stated

    Quality base 70; lint remarks subtract, signals add up to 100. Result: 94.