SKILLEMALL.ai
GitHub ↗ RU Sign in

AB binance-futures-strategy-analysis

Analyze Binance USDT-margined perpetual futures symbols with public futures market data only and return a structured market analysis report with a clear BUY, SELL, or HOLD recommendation without placing orders. Use when the user asks for buy/sell analysis, trade strategy, long/short judgment, setup review, support and resistance analysis, or detailed futures market commentary for symbols like BTC, ETH, SOL on Binance futures, explicitly wants contract data instead of spot data, or wants decisions generated under the repo's system-prompt trading rules.

ClawHub Agent Skills author: wqyblue3316 v1.0.0 MIT-0 6 files body ≈ 1 593 tokens Open the sourceclawhub.ai↗ analyzed 4 d ago

As a process B 66/100 · Nearly there — weak spots: inputs and preconditions, consistency, progress reporting

AnalyzerAI and agentsInfrastructureData and analyticstype 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%
90
Run on models
none yet
Process rating
B
66/100
Nearly there
Inputs and preconditions w 11
0
Progress reporting w 2
0
Consistency w 8
40
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 · 0

    ✓ No critical or high findings

    Files scanned: 6. 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 66/100

    • 0Inputs and preconditions. Does not say what the process needs to start
    • 0Progress reporting. Says nothing while it works
    • 40Consistency. Frontmatter name (binance-futures-strategy-analysis) differs from the folder (binance-futures-alpha-radar)
    • 60Tools and files. Uses tools (bash, web, python) that frontmatter does not declare
    • 60Result and completion. Output format stated, no completion criterion
    • 70Failures and branches. 4 branches
    • 100Steps. 102 steps
    • 100When it triggers. States when to use and when not to
    • 100Execution cost. Instruction body is 1593 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)
    • +4No input/output examples
    • +1No license
    • +2Single-language instructions
    • +3Description length 557: enough signal without eating the budget
    • +4Structure: 10 headings
    • +3Step-by-step instructions: 102 items
    • +3Output format is stated explicitly
    • +4Reference files are cited in the instructions (2 of 2)
    • +3All 1 scripts are documented

    Quality base 70; lint remarks subtract, signals add up to 100. Result: 90.

    External checks

    ClawHub: clean
    This skill fetches public Binance futures market data and produces analysis-only trading recommendations, with no evidence of private account access, order placement, persistence, or hidden data collection.
    LLM: benign (high) · VirusTotal: · 29 May 2026