AC perp-basis-scanner
Scans the spot-vs-perpetual futures basis (contango/backwardation) across Binance, Bybit, OKX, and Deribit for any symbol they list, using free public REST market-data endpoints with no API key required. Useful for crypto trading, basis trade, cash-and-carry arbitrage, funding rate arbitrage, perpetual futures, options and derivatives research, whale-style institutional strategies, and passive income via delta-neutral spot-perp spreads. Reports live spot price, perp mark price, basis percentage, a rough annualized basis estimate, and the current 8-hour funding rate side by side across exchanges so you can spot the widest, most tradeable dislocations. Supports one-shot scans and a repeating watch mode for monitoring basis drift over time. Built for python developers, ai agent operators, and defi/crypto researchers who want a quick cross-exchange basis check before sizing a cash-and-carry or funding-rate-arbitrage position.
Scans the spot-vs-perpetual futures basis (contango/backwardation) across Binance, Bybit, OKX, and Deribit for any symbol they list, using free public REST…
As a process C 53/100 · Has gaps — 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 · 0
✓ No critical or high findings
Files scanned: 4. Evidence is masked. Grey chips explain why severity was lowered.
Against the Agent Skills spec
✓ No remarks against the Agent Skills spec
Process rating: all ten parameters 53/100
- 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
- 100Tools and files. No external tools needed
- 100Steps. 11 steps
- 100Consistency. Name and required fields are in place
- 100Execution cost. Instruction body is 545 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
- +4Description does not say when NOT to use the skill (false activations)
- +3Description length 935: 120–800 characters recommended
- +3Output format is not stated: the model decides each time
- +1No license
- +2Single-language instructions
- +4Structure: 5 headings
- +3Step-by-step instructions: 11 items
- +4Has examples (1 code blocks)
- +3All 1 scripts are documented
Quality base 70; lint remarks subtract, signals add up to 100. Result: 84.