BD crypto-analytics
Multi-chain blockchain analytics for wallet balances, transaction history, and address validation. Supports 60+ EVM chains via Etherscan V2, plus Bitcoin and Solana. Use to check wallet balances, view transactions, get transaction details, validate addresses, or list supported chains.
As a process D 43/100 · Unfinished process — weak spots: result and completion, when it triggers, inputs and preconditions
How to improve
- 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 · 15
✓ No critical or high findings
Medium and low: 15
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low Secrets in code
secret-high-entropy-tokenreferences/api_index.md:157High-entropy token-like string (may be an id, hash or a credential)python3 scripts/crypto_api.py balance 0x74…b45 ethereum
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low Secrets in code
secret-high-entropy-tokenreferences/api_index.md:166High-entropy token-like string (may be an id, hash or a credential)python3 scripts/crypto_analytics.py validate 0x74…b45
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low Secrets in code
secret-high-entropy-tokenreferences/chains.md:52High-entropy token-like string (may be an id, hash or a credential)Example: 0x74…b45
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low Secrets in code
secret-high-entropy-tokenreferences/chains.md:64High-entropy token-like string (may be an id, hash or a credential) (quoted — discussed, not commanded)- **Example:** `7xKX…AsU`
quoted -
low Secrets in code
secret-high-entropy-tokenreferences/chains.md:102High-entropy token-like string (may be an id, hash or a credential)crypto-analytics balance 0x74…b45 ethereum
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low Secrets in code
secret-high-entropy-tokenreferences/chains.md:108High-entropy token-like string (may be an id, hash or a credential)crypto-analytics balance 1A1z…fNa bitcoin
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low Secrets in code
secret-high-entropy-tokenreferences/chains.md:111High-entropy token-like string (may be an id, hash or a credential)crypto-analytics validate 0x74…b45
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low Secrets in code
secret-high-entropy-tokenscripts/crypto_analytics.py:198High-entropy token-like string (may be an id, hash or a credential) (quoted — discussed, not commanded)print(" crypto-analytics balance 0x74…b45 ethereum")quoted -
low Secrets in code
secret-high-entropy-tokenscripts/crypto_analytics.py:200High-entropy token-like string (may be an id, hash or a credential) (quoted — discussed, not commanded)print(" crypto-analytics token 0x... 0xA0…B48 ethereum")quoted -
low Secrets in code
secret-high-entropy-tokenscripts/crypto_api.py:529High-entropy token-like string (may be an id, hash or a credential) (quoted — discussed, not commanded){'programId': 'Toke…5DA'},quoted -
low Secrets in code
secret-high-entropy-tokenSKILL.md:65High-entropy token-like string (may be an id, hash or a credential)crypto-analytics balance 0x74…b45 ethereum
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low Secrets in code
secret-high-entropy-tokenSKILL.md:90High-entropy token-like string (may be an id, hash or a credential)crypto-analytics transactions 0x74…b45 bsc 50
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low Secrets in code
secret-high-entropy-tokenSKILL.md:190High-entropy token-like string (may be an id, hash or a credential)crypto-analytics token 0xYo…ess 0xA0…B48 ethereum
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low Secrets in code
secret-high-entropy-tokenSKILL.md:254High-entropy token-like string (may be an id, hash or a credential)crypto-analytics spl-tokens 7xKX…AsU
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low Secrets in code
secret-high-entropy-tokenSKILL.md:260High-entropy token-like string (may be an id, hash or a credential) (quoted — discussed, not commanded)"owner": "7xKX…AsU",
quoted
Files scanned: 10. Evidence is masked. Grey chips explain why severity was lowered.
Against the Agent Skills spec
- note
frontmatter-keyunknown frontmatter key "slug" - note
frontmatter-keyunknown frontmatter key "homepage" - note
frontmatter-keyunknown frontmatter key "repository" - note
frontmatter-keyunknown frontmatter key "changelog"
Process rating: all ten parameters 43/100
- 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
- 30Running it twice. 1 mutating operations with no state check
- 60Tools and files. Uses tools (python) that frontmatter does not declare
- 100Steps. 53 steps
- 100Consistency. Name and required fields are in place
- 100Execution cost. Instruction body is 2397 tokens
- medium Safety rules and hard prohibitions inside a skill: they belong in the system prompt, here they protect nothing
- low The response is described with custom markup (4 tags): a typed call is more reliable
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)
- -33 of 4 scripts are never mentioned in SKILL.md
- +1No license
- +2Single-language instructions
- +3Description length 285: enough signal without eating the budget
- +4Structure: 22 headings
- +3Step-by-step instructions: 53 items
- +3Output format is stated explicitly
- +4Has examples (19 code blocks)
- +4Reference files are cited in the instructions (2 of 3)
Quality base 70; lint remarks subtract, signals add up to 100. Result: 85.