AF ave-cloud
Query on-chain crypto data via the AVE Cloud API (https://cloud.ave.ai/). Use this skill whenever the user wants to: - Search for tokens by name, symbol, or contract address - Get token prices, market cap, TVL, volume, or price change data - View kline/candlestick (OHLCV) chart data for a token or trading pair - Check top 100 token holders and their distribution - Browse recent swap transactions for a trading pair - View trending or ranked tokens by chain or topic (hot, meme, gainer, loser, AI, DePIN, etc.) - Run a contract security/risk detection report (honeypot, tax, ownership) - List supported chains or main tokens on a chain - Stream real-time swap/liquidity events for a trading pair (pro plan) - Monitor live kline/candlestick updates for a pair in real time (pro plan) - Subscribe to live price change notifications for one or more tokens (pro plan) - Run an interactive WebSocket REPL to manage subscriptions live (pro plan) Trigger on /ave-cloud or any query involving on-chain token data, DEX analytics,
As a process F 44/100 · Will not run — References files that are not bundled: scripts/ave_client.py
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 · 1
✓ No critical or high findings
Medium and low: 1
-
low Secrets in code
secret-high-entropy-tokenSKILL.md:225High-entropy token-like string (may be an id, hash or a credential)> subscribe price 0xC0…eth
Files scanned: 7. Evidence is masked. Grey chips explain why severity was lowered.
Against the Agent Skills spec
- warning
missing-refreference to a missing file: scripts/ave_client.py
Process rating: all ten parameters 44/100
- 0Tools and files. 1 referenced file(s) missing: scripts/ave_client.py
- 0Result and completion. Does not say what the result is
- 0Inputs and preconditions. Does not say what the process needs to start
- 0Progress reporting. Says nothing while it works
- 30Running it twice. 1 mutating operations with no state check
- 55Failures and branches. 1 branches
- 70When it triggers. States when to use, but not when not to
- 100Steps. 11 steps
- 100Consistency. Name and required fields are in place
- 100Execution cost. Instruction body is 1934 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 1022: 120–800 characters recommended
- +3Output format is not stated: the model decides each time
- -32 of 2 scripts are never mentioned in SKILL.md
- +1No license
- +2Single-language instructions
- +4Structure: 23 headings
- +3Step-by-step instructions: 11 items
- +4Has examples (22 code blocks)
- +4Reference files are cited in the instructions (1 of 1)
Quality base 70; lint remarks subtract, signals add up to 100. Result: 76.