SKILLEMALL.ai
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AD crypto-skill

Cryptocurrency and precious metals market data analysis, supporting K-line, funding rate, open interest, long/short ratio, liquidation data, option data, fear and greed index for digital assets including Bitcoin, Ethereum, BNB, ZEC, SOL, and Gold. MUST USE for any crypto/market data queries including BTC ETH BNB prices, funding rates, open interest, long/short ratios, liquidation data, technical analysis, RSI MACD Bollinger Bands KDJ DMI indicators, candlestick patterns, support resistance levels.

ClawHub Agent Skills author: burceasn v1.0.1 MIT-0 12 files body ≈ 2 569 tokens Open the sourceclawhub.ai↗ analyzed 3 d ago

As a process D 48/100 · Unfinished process — weak spots: result and completion, when it triggers, inputs and preconditions

AnalyzerInfrastructuretype and topics are labelled automatically from the skill text
Runs in: OpenClaw Claude / Claude Code ChatGPT / Codex Gemini CLI Cursor GitHub Copilot / VS Code Qwen Code Kimi Code CLI Z.ai (GLM) DeepSeek (Deep Code) Mistral Vibe LangChain (deepagents) Goose OpenCode
JSON
Technical rating
A
96/100
safety, quality, tests
Safety 60%
100
Quality 40%
91
Run on models
none yet
Process rating
D
48/100
Unfinished process
Result and completion w 14
0
Inputs and preconditions w 11
0
Progress reporting w 2
0
the three weakest of ten parameters · all ten

How to improve

    For the model run — optional
    • 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: 11. 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 48/100

    • 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
    • 20When it triggers. No condition that starts the skill
    • 40Consistency. Frontmatter name (crypto-skill) differs from the folder (crypto-watch-skill)
    • 60Tools and files. Uses tools (web, python) that frontmatter does not declare
    • 65Failures and branches. 3 branches
    • 100Steps. 39 steps
    • 100Execution cost. Instruction body is 2569 tokens
    • 100Running it twice. No mutating operations
    • medium 15 test cases, all positive: not one "should refuse" or "should ask first"
    • low No test case covers injection arriving through data

    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)
    • +3Output format is not stated: the model decides each time
    • +1No license
    • +2Single-language instructions
    • +3Description length 502: enough signal without eating the budget
    • +4Structure: 25 headings
    • +3Step-by-step instructions: 39 items
    • +4Has examples (15 code blocks)
    • +4Reference files are cited in the instructions (2 of 2)
    • +3All 3 scripts are documented

    Quality base 70; lint remarks subtract, signals add up to 100. Result: 91.

    External checks

    ClawHub: clean
    This is a coherent crypto market-data analysis skill with external API calls and trading-style guidance, but no evidence of credential theft, trade execution, exfiltration, or destructive behavior.
    LLM: benign (high) · VirusTotal: · 29 May 2026