DB agent-market
(no description)
As a process B 66/100 · Nearly there — weak spots: result and completion, when it triggers, running it twice
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
- Add a description to the frontmatter: without it the skill never triggers.
- 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:32Handles crypto-wallet secrets (seed / mnemonic / private key) — a classic stealer targetRisk: The skill requires a wallet private key to be configured for write actions.
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medium Risky intent
intent-wallet-secretsskill-card.md:56Handles crypto-wallet secrets (seed / mnemonic / private key) — a classic stealer target**Other Properties Related to Output:** [Read tools query Base Sepolia market state; write tools may submit wallet-signed transactions when a wallet private key is configured.]
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medium Risky intent
intent-wallet-secretsSKILL.md:30Handles crypto-wallet secrets (seed / mnemonic / private key) — a classic stealer target- `WALLET_PRIVATE_KEY`: Your wallet private key
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low Secrets in code
secret-high-entropy-tokenindex.ts:19High-entropy token-like string (may be an id, hash or a credential) (quoted — discussed, not commanded)const FACTORY_ADDRESS = process.env.AGENT_MARKET_FACTORY_ADDRESS || '0xDd…598';
quoted -
low Secrets in code
secret-high-entropy-tokenindex.ts:20High-entropy token-like string (may be an id, hash or a credential) (quoted — discussed, not commanded)const USDC_ADDRESS = process.env.USDC_ADDRESS || '0x03…F7e'; // Base Sepolia USDC
quoted -
low Secrets in code
secret-high-entropy-tokenSKILL.md:11High-entropy token-like string (may be an id, hash or a credential) (documentation table row)| MarketFactory | `0xDd…598` |
table -
low Secrets in code
secret-high-entropy-tokenSKILL.md:12High-entropy token-like string (may be an id, hash or a credential) (documentation table row)| USDC | `0x03…F7e` |
table -
low Secrets in code
secret-high-entropy-tokenSKILL.md:27High-entropy token-like string (may be an id, hash or a credential) (quoted — discussed, not commanded)- `AGENT_MARKET_FACTORY_ADDRESS`: The deployed MarketFactory contract address (default: `0xDd…598`)
quoted -
low Secrets in code
secret-high-entropy-tokenSKILL.md:28High-entropy token-like string (may be an id, hash or a credential) (quoted — discussed, not commanded)- `USDC_ADDRESS`: USDC token address on the network (default: `0x03…F7e`)
quoted
Files scanned: 8. Evidence is masked. Grey chips explain why severity was lowered.
Against the Agent Skills spec
- error
frontmatterSKILL.md: no YAML frontmatter block found - error
name-missingSKILL.md: frontmatter has no `name` - error
description-missingSKILL.md: no `description` — the skill can never trigger
Process rating: all ten parameters 66/100
- 0Result and completion. Does not say what the result is
- 0When it triggers. No condition that starts the skill
- 0Progress reporting. Says nothing while it works
- 30Running it twice. 8 mutating operations with no state check
- 70Inputs and preconditions. Inputs and preconditions are listed
- 100Tools and files. No external tools needed
- 100Steps. 42 steps
- 100Failures and branches. 7 branches, has a failure section
- 100Consistency. Name and required fields are in place
- 100Execution cost. Instruction body is 2314 tokens
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)
- +3Description length 0: 120–800 characters recommended
- +3Output format is not stated: the model decides each time
- +1No license
- +2Single-language instructions
- +4Structure: 35 headings
- +3Step-by-step instructions: 42 items
- +4Has examples (2 code blocks)
Quality base 70; lint remarks subtract, signals add up to 100. Result: 0.