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BC web3-dapp-builder

Industry-standard Web3 DApp architecture skill (2026). Covers the full modern stack: Account Abstraction (ERC-4337/EIP-7702), embedded wallets (Privy/Dynamic), Permit2 gasless approvals, on-chain indexing (Ponder/Envio/The Graph), Foundry + Vitest testing, multicall batching, RPC health failover, encrypted vault key management, event-driven SSE architecture, BullMQ strategy orchestration. Supports EVM (Viem/Wagmi) + Solana + multi-chain.

ClawHub Agent Skills author: StanPoldark v1.0.2 MIT-0 2 files body ≈ 7 325 tokens Open the sourceclawhub.ai↗ analyzed 2 d ago

As a process C 50/100 · Has gaps — weak spots: result and completion, inputs and preconditions, failures and branches

ReferenceInfrastructuretype 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
B
86/100
safety, quality, tests
Safety 60%
96
Quality 40%
71
Run on models
none yet
Process rating
C
50/100
Has gaps
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

  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:241
    High-entropy token-like string (may be an id, hash or a credential) (quoted — discussed, not commanded)
    const perm…ess = '0x00…BA3'
    quoted
  • low Secrets in code secret-high-entropy-token SKILL.md:356
    High-entropy token-like string (may be an id, hash or a credential) (quoted — discussed, not commanded)
    bsc:  '0xbb…95c',
    quoted
  • low Secrets in code secret-high-entropy-token SKILL.md:357
    High-entropy token-like string (may be an id, hash or a credential) (quoted — discussed, not commanded)
    eth:  '0xC0…Cc2',
    quoted
  • low Exfiltration read-dotenv SKILL.md:751
    Reads a .env file
    2. Copy .env.example → .env, fill in real values (see §XVIII for each variable)

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

Against the Agent Skills spec

  • warning body-long SKILL.md body ≈ 7325 tokens (recommended < 5000); move details to references/

Process rating: all ten parameters 50/100

  • 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
  • 30Running it twice. 7 mutating operations with no state check
  • 40Consistency. Frontmatter name (web3-dapp-builder) differs from the folder (web3-dapp-development-skill)
  • 50When it triggers. No condition that starts the skill
  • 70Execution cost. Instruction body is 7325 tokens
  • 100Tools and files. No external tools needed
  • 100Steps. 11 steps
  • 100Progress reporting. Reports progress
  • medium Safety rules and hard prohibitions inside a skill: they belong in the system prompt, here they protect nothing
  • low 21 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

  • +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
  • -2localhost URLs: will not work for another user
  • -227 emoji in the instructions: noise for the model
  • +2Single-language instructions
  • +3Description length 441: enough signal without eating the budget
  • +4Structure: 66 headings
  • +3Step-by-step instructions: 11 items
  • +4Has examples (43 code blocks)
  • +1License stated

Quality base 70; lint remarks subtract, signals add up to 100. Result: 71.

External checks

ClawHub: clean
This is a Web3 architecture guidance skill with sensitive topics, but its behavior is disclosed, purpose-aligned, and not executable on install.
LLM: benign (high) · VirusTotal: · 29 May 2026