AF crypto-market-data-aisa
Query real-time and historical cryptocurrency market data via CoinGecko through AIsa — simple prices, coin details, historical charts, OHLC candles, token prices by contract address, market-cap rankings, exchange data and tickers, categories, trending searches, and crypto news. Use when you need crypto market research, price tracking, token lookup, portfolio analysis, or market-cap screening. Use when: the user needs market data, stock analysis, dividend research, or read-only financial data workflows.
As a process F 47/100 · Will not run — References files that are not bundled: ../LICENSE
How to improve
- The text references files that are not there: add them or drop the references.
- 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 · 5
✓ No critical or high findings
Medium and low: 5
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low Secrets in code
secret-high-entropy-tokenscripts/coingecko_client.py:380High-entropy token-like string (may be an id, hash or a credential) (quoted — discussed, not commanded)%(prog)s simple token-price --platform ethereum --addresses 0xA0…B48 --vs usd
quoted -
low Secrets in code
secret-high-entropy-tokenSKILL.md:83High-entropy token-like string (may be an id, hash or a credential) (quoted — discussed, not commanded)"Find the CoinGecko price for USDC at 0xA0…B48 on Ethereum"
quoted -
low Secrets in code
secret-high-entropy-tokenSKILL.md:125High-entropy token-like string (may be an id, hash or a credential)--addresses 0xA0…B48 \
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low Secrets in code
secret-high-entropy-tokenSKILL.md:165High-entropy token-like string (may be an id, hash or a credential)--address 0xA0…B48
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low Secrets in code
secret-high-entropy-tokenSKILL.md:169High-entropy token-like string (may be an id, hash or a credential)--address 0xA0…B48 \
Files scanned: 4. Evidence is masked. Grey chips explain why severity was lowered.
Against the Agent Skills spec
- warning
missing-refreference to a missing file: ../LICENSE - note
frontmatter-keyunknown frontmatter key "homepage" - note
frontmatter-keyunknown frontmatter key "source" - note
frontmatter-keyunknown frontmatter key "primaryEnv" - note
frontmatter-keyunknown frontmatter key "requires"
Process rating: all ten parameters 47/100
- 0Tools and files. 1 referenced file(s) missing: ../LICENSE
- 0Result and completion. Does not say what the result is
- 0Failures and branches. Linear process with no failure handling
- 0Progress reporting. Says nothing while it works
- 50When it triggers. No condition that starts the skill
- 70Inputs and preconditions. Inputs and preconditions are listed
- 100Steps. 38 steps
- 100Consistency. Name and required fields are in place
- 100Execution cost. Instruction body is 2302 tokens
- 100Running it twice. No mutating operations
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
- +3Output format is not stated: the model decides each time
- +2Single-language instructions
- +4Description says when NOT to use the skill
- +3Description length 507: enough signal without eating the budget
- +4Structure: 22 headings
- +3Step-by-step instructions: 38 items
- +4Has examples (14 code blocks)
- +3All 1 scripts are documented
- +1License stated
Quality base 70; lint remarks subtract, signals add up to 100. Result: 83.