AC binance-trade-hunter
Binance trading skill for coin analysis, pump detection, and one-click trading via Telegram. Use when the user wants to analyze crypto coins, check market trends, buy/sell on Binance, monitor price pumps, or manage trading services. Triggers on keywords like "分析潜力币", "分析 BTC", "买", "卖", "持仓", "余额", "异动监控", "定时推送", "analyze coins", "buy", "sell", "positions", "balance", "pump alert", "coin push".
As a process C 60/100 · Has gaps — weak spots: result and completion, 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 · 4
✓ No critical or high findings
Medium and low: 4
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low Exfiltration
exfil-webhook-urlsrc/coin_analyzer.py:33Webhook / 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{token}/sendMessage"vendor-hostquoted -
low Exfiltration
exfil-webhook-urlsrc/pump_alert.py:599Webhook / 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{token}/sendMessage"vendor-hostquoted -
low Exfiltration
exfil-webhook-urlsrc/skill_api.py:79Webhook / 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{token}/sendMessage"vendor-hostquoted -
low Exfiltration
exfil-webhook-urlsrc/tg_config.py:73Webhook / 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}/getUpdates"vendor-hostquoted
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 60/100
- 0Result and completion. Does not say what the result is
- 0Inputs and preconditions. Does not say what the process needs to start
- 60Tools and files. Uses tools (python) that frontmatter does not declare
- 60Failures and branches. 2 branches
- 70When it triggers. States when to use, but not when not to
- 100Steps. 15 steps
- 100Consistency. Name and required fields are in place
- 100Execution cost. Instruction body is 1150 tokens
- 100Running it twice. Mutating operations check current state
- 100Progress reporting. Reports progress
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
- +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
- +5Description quotes 6 example trigger phrases
- +3Description length 398: enough signal without eating the budget
- +4Structure: 7 headings
- +3Step-by-step instructions: 15 items
- +4Has examples (13 code blocks)
Quality base 70; lint remarks subtract, signals add up to 100. Result: 89.