BD NadName Agent
🌐 Register .nad names on Monad blockchain via Nad Name Service (NNS). Real API integration with registerWithSignature, dynamic gas estimation, permanent ownership.
As a process D 49/100 · Unfinished process — weak spots: result and completion, when it triggers, inputs and preconditions
What is at stake
Medium-severity findings: the skill is probably honest, but read what alarmed the scanner.
Below is the worst case for this category. The finding here is medium: the guard saw a sign, not a proof.
The purpose itself is risky: wallets, browser password stores, offensive security. Even an honest implementation gives the agent access to things that cost money.
Explain in the description why the access is needed and how it is limited; add tests that show refusals on dangerous requests.
How to improve
- Say in the description WHEN to use the skill ("use when…", example requests): that is the agent's main cue.
- 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 · 9
✓ No critical or high findings
Medium and low: 9
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medium Risky intent
intent-wallet-secretsskill-card.md:54Handles crypto-wallet secrets (seed / mnemonic / private key) — a classic stealer target**Other Properties Related to Output:** [May require a low-value wallet private key or managed keystore, network access to NAD API and Monad RPC, and user review before transactions.]
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low Secrets in code
secret-high-entropy-tokenscripts/check-name.js:22High-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-tokenscripts/check-name.js:268High-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-tokenscripts/my-names.js:27High-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-tokenscripts/register-name.js:43High-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-secretsscripts/register-name.js:200Handles 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-secretsscripts/register-name.js:261Handles 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-tokenSKILL.md:25High-entropy token-like string (may be an id, hash or a credential)- **Contract**: 0xE1…3Fb
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low Secrets in code
secret-high-entropy-tokenSKILL.md:196High-entropy token-like string (may be an id, hash or a credential)- **Contract**: 0xE1…3Fb
Files scanned: 8. Evidence is masked. Grey chips explain why severity was lowered.
Against the Agent Skills spec
- warning
name-formatname should be kebab-case (lowercase letters, digits, hyphens) - warning
description-no-whendescription does not say WHEN to use the skill (no "use when")
Process rating: all ten parameters 49/100
- 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)
- 100Tools and files. No external tools needed
- 100Steps. 55 steps
- 100Execution cost. Instruction body is 2012 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.