SKILLEMALL.ai
GitHub ↗ RU Sign in

BC binance-coach

AI-powered crypto trading behavior coach for Binance users. Analyzes live portfolio health, detects emotional trading patterns (FOMO, panic selling, overtrading), provides smart DCA recommendations based on RSI + Fear & Greed index, and delivers personalized AI coaching via Claude. Use when a user asks to: analyze their crypto portfolio, get DCA advice, check market conditions (RSI, Fear & Greed, SMA200), review trading behavior/FOMO/panic sells, get AI coaching on their holdings, set price/RSI alerts, learn about crypto concepts (RSI, DCA, SMA200), start a Telegram trading coach bot, ask anything about their Binance portfolio, get latest Binance news or announcements, check new coin listings, check launchpools or HODLer airdrops, or start/stop a real-time announcement watcher.

Not recommendedcritical or high security findings
ClawHub Agent Skills author: UnrealBNB v2.1.2 MIT-0 34 files · 3 scripts body ≈ 1 125 tokens Open the sourceclawhub.ai↗ analyzed 3 d ago

As a process C 56/100 · Has gaps — weak spots: result and completion, when it triggers, inputs and preconditions

AnalyzerTelegramInfrastructureAI and agentstype 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
B
79/100
safety, quality, tests
Safety 60%
77
Quality 40%
83
Run on models
none yet
Process rating
C
56/100
Has gaps
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

What is at stake

The skill contains fragments that, in the wrong hands, cost money or data. Below: what the installer risks and what the author should do.

Concealment
If you install

The skill tells the agent to hide things from you: not to show errors, not to mention actions, to report differently from what was done. You lose the ability to see what the agent really did.

For the author

Transparency beats a smooth answer. If the goal is to hide technical noise, ask the agent to "summarise briefly", not to "not mention".

How to improve

  1. Address the high-severity findings: each costs 18 safety points. If one is a false positive, add the rule id to guard.allow in spec.yaml.
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 · 6

  • high Concealment en-hide-from-user references/agent-guide.md:19
    Instruction to hide actions from the user
    BinanceCoach sends daily portfolio analysis via two OpenClaw crons — morning (09:00) and evening (21:00). These must be created with `agentTurn` payload + `isolated` session + `announce` delivery to a
Medium and low: 5
  • low Dangerous commands cmd-background-process scripts/bc.sh:280
    Starts a background / autostarted process (string literal in code, not executed)
    nohup bash "${BASH_SOURCE[0]}" watch "$INTERVAL" >> "$LOG_FILE" 2>&1 &
    code literal
  • low Exfiltration exfil-webhook-url scripts/daily_analysis.py:146
    Webhook / callback URL commonly used for exfiltration (verify the destination) (the skill's own vendor host; quoted — discussed, not commanded)
    f"https://api.telegram.org/bot{tg_token}/sendMessage",
    vendor-hostquoted
  • low Exfiltration exfil-webhook-url scripts/daily-analysis.sh:24
    Webhook / callback URL commonly used for exfiltration (verify the destination) (placeholder value)
    curl -s -X POST "https://api.telegram.org/bot${TG_TOKEN}/sendMessage" \
    placeholder
  • low Exfiltration net-credential-use scripts/daily-analysis.sh:24
    Credential used in a network call (verify the destination is the intended service) (the skill's own vendor host)
    curl -s -X POST "https://api.telegram.org/bot${TG_TOKEN}/sendMessage" \
    vendor-host
  • low Exfiltration exfil-webhook-url src/modules/news.py:263
    Webhook / callback URL commonly used for exfiltration (verify the destination) (the skill's own vendor host; quoted — discussed, not commanded)
    f"https://api.telegram.org/bot{token}/sendMessage",
    vendor-hostquoted

Files scanned: 34. Evidence is masked. Grey chips explain why severity was lowered.

Against the Agent Skills spec

  • note frontmatter-key unknown frontmatter key "homepage"

Process rating: all ten parameters 56/100

  • 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
  • 30Running it twice. 7 mutating operations with no state check
  • 55Failures and branches. 1 branches
  • 100Tools and files. No external tools needed
  • 100Steps. 23 steps
  • 100Consistency. Name and required fields are in place
  • 100Execution cost. Instruction body is 1125 tokens

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
  • -219 emoji in the instructions: noise for the model
  • -34 of 4 scripts are never mentioned in SKILL.md
  • +2Single-language instructions
  • +3Description length 788: enough signal without eating the budget
  • +4Structure: 9 headings
  • +3Step-by-step instructions: 23 items
  • +4Has examples (1 code blocks)
  • +4Reference files are cited in the instructions (1 of 3)
  • +1License stated

Quality base 70; lint remarks subtract, signals add up to 100. Result: 83.

External checks

ClawHub: suspicious
Binance Coach is mostly a real portfolio-coaching skill, but it handles sensitive financial data and adds optional persistent/external data flows that deserve manual review before installation.
LLM: suspicious (high) · VirusTotal: · 29 May 2026