SKILLEMALL.ai

BD NadName Agent

🌐 Register .nad names on Monad blockchain via Nad Name Service (NNS). Real API integration with registerWithSignature, dynamic gas estimation, permanent ownership.

modbender/skill-library-mcp Agent Skills author: modbender MIT 6 files body ≈ 2 075 tokens Open the sourcegithub.com analyzed 3 d ago

🌐 Register .nad names on Monad blockchain via Nad Name Service (NNS). Real API integration with registerWithSignature, dynamic gas estimation, permanent…

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

IntegrationAI and agentstype and topics are labelled automatically from the skill text
JSON
Technical rating
B
82/100
safety, quality, tests
Safety 60%
92
Quality 40%
68
Run on models
none yet
Process rating
D
46/100
Unfinished process
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 · 8

✓ No critical or high findings

Medium and low: 8
  • low Secrets in code secret-high-entropy-token scripts/check-name.js:22
    High-entropy token-like string (may be an id, hash or a credential) (quoted — discussed, not commanded)
    const NNS_CONTRACT = '0xE1…3Fb';
    quoted
  • low Secrets in code secret-high-entropy-token scripts/check-name.js:268
    High-entropy token-like string (may be an id, hash or a credential) (quoted — discussed, not commanded)
    owner: '0x74…7b1', // Example owner
    quoted
  • low Secrets in code secret-high-entropy-token scripts/my-names.js:27
    High-entropy token-like string (may be an id, hash or a credential) (quoted — discussed, not commanded)
    const NNS_CONTRACT = '0xE1…3Fb';
    quoted
  • low Secrets in code secret-high-entropy-token scripts/register-name.js:43
    High-entropy token-like string (may be an id, hash or a credential) (quoted — discussed, not commanded)
    const NNS_CONTRACT = '0xE1…3Fb';
    quoted
  • low Risky intent intent-wallet-secrets scripts/register-name.js:200
    Handles crypto-wallet secrets (seed / mnemonic / private key) — a classic stealer target (quoted — discussed, not commanded)
    const password = await promptPassword('🔐 Enter keystore password: ');
    quoted
  • low Risky intent intent-wallet-secrets scripts/register-name.js:261
    Handles crypto-wallet secrets (seed / mnemonic / private key) — a classic stealer target (quoted — discussed, not commanded)
    console.log('⚠️  IMPORTANT: Save your mnemonic phrase securely:');
    quoted
  • low Secrets in code secret-high-entropy-token SKILL.md:25
    High-entropy token-like string (may be an id, hash or a credential)
    - **Contract**: 0xE1…3Fb
  • low Secrets in code secret-high-entropy-token SKILL.md:196
    High-entropy token-like string (may be an id, hash or a credential)
    - **Contract**: 0xE1…3Fb

Files scanned: 6. 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 46/100

  • 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
  • 20When it triggers. No condition that starts the skill
  • 40Consistency. Frontmatter name (NadName Agent) differs from the folder (nadname-agent)
  • 85Steps. 55 steps, 1 vague phrases
  • 100Tools and files. No external tools needed
  • 100Execution cost. Instruction body is 2075 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
  • -244 emoji in the instructions: noise for the model
  • +1No license
  • +2Single-language instructions
  • +3Description length 164: enough signal without eating the budget
  • +4Structure: 31 headings
  • +3Step-by-step instructions: 55 items
  • +4Has examples (14 code blocks)
  • +3All 3 scripts are documented

Quality base 70; lint remarks subtract, signals add up to 100. Result: 68.