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BC ERC-8004 Register

Register AI agents on-chain, update metadata, validate registrations, and auto-fix broken profiles via the ERC-8004 Identity Registry. Supports Base, Ethereum, Polygon, Monad, BNB.

modbender/skill-library-mcp Agent Skills author: modbender MIT 3 files body ≈ 975 tokens Open the sourcegithub.com↗ analyzed 2 d ago

Register AI agents on-chain, update metadata, validate registrations, and auto-fix broken profiles via the ERC-8004 Identity Registry.

As a process C 55/100 · Has gaps — weak spots: result and completion, inputs and preconditions, failures and branches

AnalyzerAI 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
84/100
safety, quality, tests
Safety 60%
94
Quality 40%
70
Run on models
none yet
Process rating
C
55/100
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. Say in the description WHEN to use the skill ("use when…", example requests): that is the agent's main cue.
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 · 6

✓ No critical or high findings

Medium and low: 6
  • low Risky intent intent-wallet-secrets README.md:12
    Handles crypto-wallet secrets (seed / mnemonic / private key) — a classic stealer target (quoted — discussed, not commanded)
    export ERC8…NIC="your twelve word mnemonic phrase here"
    quoted
  • low Secrets in code secret-high-entropy-token README.md:59
    High-entropy token-like string (may be an id, hash or a credential) (quoted — discussed, not commanded)
    Identity Registry: `0x80…432`
    quoted
  • low Secrets in code secret-high-entropy-token scripts/register.py:28
    High-entropy token-like string (may be an id, hash or a credential) (quoted — discussed, not commanded)
    REGISTRY_ADDRESS = "0x80…432"
    quoted
  • low Risky intent intent-wallet-secrets scripts/register.py:911
    Handles crypto-wallet secrets (seed / mnemonic / private key) — a classic stealer target (quoted — discussed, not commanded)
    ERC8…NIC      - BIP39 mnemonic phrase for wallet
    quoted
  • low Risky intent intent-wallet-secrets SKILL.md:134
    Handles crypto-wallet secrets (seed / mnemonic / private key) — a classic stealer target (quoted — discussed, not commanded)
    export ERC8…NIC="your twelve word mnemonic phrase here"
    quoted
  • low Secrets in code secret-high-entropy-token SKILL.md:141
    High-entropy token-like string (may be an id, hash or a credential) (quoted — discussed, not commanded)
    Identity Registry: `0x80…432` (same on all chains)
    quoted

Files scanned: 3. Evidence is masked. Grey chips explain why severity was lowered.

Against the Agent Skills spec

  • warning name-format name should be kebab-case (lowercase letters, digits, hyphens)
  • warning description-no-when description does not say WHEN to use the skill (no "use when")

Process rating: all ten parameters 55/100

  • 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
  • 40Consistency. Frontmatter name (ERC-8004 Register) differs from the folder (erc8004-register)
  • 70When it triggers. States when to use, but not when not to
  • 100Tools and files. No external tools needed
  • 100Steps. 22 steps
  • 100Execution cost. Instruction body is 975 tokens
  • 100Running it twice. Mutating operations check current state

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 180: enough signal without eating the budget
  • +4Structure: 18 headings
  • +3Step-by-step instructions: 22 items
  • +4Has examples (11 code blocks)
  • +3All 1 scripts are documented

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