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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.

ClawHub Agent Skills author: vladislavshad v1.0.1 MIT-0 2 files body ≈ 6 860 tokens Open the sourceclawhub.ai↗ analyzed 3 d ago

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
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
91/100
safety, quality, tests
Safety 60%
96
Quality 40%
84
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

  1. The SKILL.md body is over 5,000 tokens: move reference detail into references/ and load it when needed.
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 SKILL.md:98
    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:99
    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
  • low Secrets in code secret-high-entropy-token SKILL.md:498
    High-entropy token-like string (may be an id, hash or a credential) (detector / deny-list definition)
    target: '0x69…306', // Chainlink ETH/USD on Sepolia
    detector
  • low Secrets in code secret-high-entropy-token SKILL.md:509
    High-entropy token-like string (may be an id, hash or a credential) (detector / deny-list definition)
    target: '0x69…306',
    detector

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

Against the Agent Skills spec

  • warning body-long SKILL.md body ≈ 6860 tokens (recommended < 5000); move details to references/

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 6860 tokens
  • 100Steps. 37 steps
  • 100When it triggers. States when to use and when not to
  • 100Failures and branches. 5 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 13 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: 40 headings
  • +3Step-by-step instructions: 37 items
  • +4Has examples (19 code blocks)
  • +1License stated

Quality base 70; lint remarks subtract, signals add up to 100. Result: 84.

External checks

ClawHub: suspicious
This looks like a legitimate Ditto workflow helper, but it handles raw wallet private keys and production crypto automation with too little safety framing.
LLM: suspicious (high) · VirusTotal: · 29 May 2026