SKILLEMALL.ai

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.

ClawHub Agent Skills author: Naoufal Andichi v1.0.0 31 files body ≈ 2 229 tokens Open the sourceclawhub.ai analyzed 2 d ago

As a process A 85/100 · Runs to the end — weak spots: running it twice

AnalyzerDiscordTelegramInfrastructuretype and topics are labelled automatically from the skill text
JSON
Technical rating
A
93/100
safety, quality, tests
Safety 60%
99
Quality 40%
84
Run on models
none yet
Process rating
A
85/100
Runs to the end
Running it twice w 4
30
Result and completion w 14
60
When it triggers w 12
70
the three weakest of ten parameters · all ten

How to improve

    For the model run — optional
    • 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 Exfiltration exfil-webhook-url scripts/notifier.py:197
      Webhook / 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.

    External checks

    ClawHub: suspicious
    This is a disclosed crypto trading skill, but it can make or cancel live financial orders through broad agent-triggered commands without an enforceable confirmation gate in the runtime code.
    LLM: suspicious (medium) · VirusTotal: benign · 28 May 2026