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BD 8004-skill

Register and manage ERC-8004 Identity NFTs on Monad. Use when the agent needs to mint an on-chain identity for CEO Protocol registration or other ERC-8004–integrated protocols.

modbender/skill-library-mcp Agent Skills author: modbender MIT 11 files body ≈ 2 865 tokens Open the sourcegithub.com↗ analyzed 2 d ago

Register and manage ERC-8004 Identity NFTs on Monad.

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

ProcedureAI and agentstype 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
88/100
safety, quality, tests
Safety 60%
93
Quality 40%
81
Run on models
none yet
Process rating
D
46/100
Unfinished process
Result and completion w 14
0
Failures and branches w 10
0
Progress reporting w 2
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 · 7

    ✓ No critical or high findings

    Medium and low: 7
    • low Secrets in code secret-high-entropy-token scripts/common.mjs:14
      High-entropy token-like string (may be an id, hash or a credential) (quoted — discussed, not commanded)
      export const MAINNET_IDENTITY = "0x80…432";
      quoted
    • low Secrets in code secret-high-entropy-token scripts/common.mjs:15
      High-entropy token-like string (may be an id, hash or a credential) (quoted — discussed, not commanded)
      export const TESTNET_IDENTITY = "0x80…D9e";
      quoted
    • low Secrets in code secret-high-entropy-token SKILL.md:16
      High-entropy token-like string (may be an id, hash or a credential) (documentation table row)
      | ERC-8004 Identity | `0x80…432` |
      table
    • low Secrets in code secret-high-entropy-token SKILL.md:181
      High-entropy token-like string (may be an id, hash or a credential) (documentation table row)
      | **Address** | `viem-local-signer address` (signer wallet) | `0xB4…5c4` |
      table
    • low Secrets in code secret-high-entropy-token SKILL.md:196
      High-entropy token-like string (may be an id, hash or a credential) (quoted — discussed, not commanded)
      - **Address**: `0xB4…5c4`
      quoted
    • low Secrets in code secret-high-entropy-token SKILL.md:299
      High-entropy token-like string (may be an id, hash or a credential) (quoted — discussed, not commanded)
      const ERC8…ITY = "0x80…432";
      quoted
    • low Secrets in code secret-high-entropy-token SKILL.md:319
      High-entropy token-like string (may be an id, hash or a credential) (placeholder value)
      // viem-local-signer send-contract --to 0x80…432 --data <hex> --value-wei 0 --wait
      placeholder

    Files scanned: 11. 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
    • 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
    • 30Running it twice. 7 mutating operations with no state check
    • 40Consistency. Frontmatter name (8004-skill) differs from the folder (8004-skill-monad)
    • 60Tools and files. Uses tools (bash, web) that frontmatter does not declare
    • 70Inputs and preconditions. Inputs and preconditions are listed
    • 100Steps. 31 steps
    • 100Execution cost. Instruction body is 2865 tokens
    • low 11 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
    • -31 of 7 scripts are never mentioned in SKILL.md
    • +1No license
    • +2Single-language instructions
    • +3Description length 176: enough signal without eating the budget
    • +4Structure: 20 headings
    • +3Step-by-step instructions: 31 items
    • +4Has examples (8 code blocks)

    Quality base 70; lint remarks subtract, signals add up to 100. Result: 81.