AA crypto-trader
Automated cryptocurrency trading skill for OpenClaw. Supports 8 trading strategies (Grid Trading, DCA, Trend Following, Scalping, Arbitrage, Swing Trading, Copy Trading, Portfolio Rebalancing), multi-exchange connectivity (Binance, Bybit, Kraken, Coinbase), AI-driven sentiment analysis, comprehensive risk management, backtesting, paper trading, and real-time monitoring with Telegram/Discord/Email alerts. Use when the user asks about crypto trading, portfolio management, market analysis, starting/stopping strategies, checking balances, or running backtests.
As a process A 85/100 · Runs to the end — weak spots: running it twice
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 · 1
✓ No critical or high findings
Medium and low: 1
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low Exfiltration
exfil-webhook-urlscripts/notifier.py:197Webhook / callback URL commonly used for exfiltration (verify the destination) (the skill's own vendor host; quoted — discussed, not commanded)url = f"https://api.telegram.org/bot{bot_token}/sendMessage"vendor-hostquoted
Files scanned: 27. 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 85/100
- 30Running it twice. 1 mutating operations with no state check
- 60Result and completion. Output format stated, no completion criterion
- 70When it triggers. States when to use, but not when not to
- 70Inputs and preconditions. Inputs and preconditions are listed
- 100Tools and files. No external tools needed
- 100Steps. 47 steps
- 100Failures and branches. 3 branches, has a failure section
- 100Consistency. Name and required fields are in place
- 100Execution cost. Instruction body is 2229 tokens
- 100Progress reporting. Reports progress
- medium Safety rules and hard prohibitions inside a skill: they belong in the system prompt, here they protect nothing
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)
- -39 of 10 scripts are never mentioned in SKILL.md
- +1No license
- +2Single-language instructions
- +3Description length 562: enough signal without eating the budget
- +4Structure: 26 headings
- +3Step-by-step instructions: 47 items
- +3Output format is stated explicitly
- +4Has examples (12 code blocks)
Quality base 70; lint remarks subtract, signals add up to 100. Result: 84.