SKILLEMALL.ai
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BB aicoin

Use this skill when the user asks to buy, sell, or trade crypto on exchanges like Binance, OKX, Bybit, Bitget, Gate, HTX, KuCoin, MEXC, or Coinbase — spot or futures, place orders, check balance, set leverage, view positions, or cancel orders. Also use when the user asks for crypto market data: real-time prices, K-lines, funding rates, open interest, liquidation data, whale tracking, AI analysis, order flow, news, Twitter/X crypto tweets, Hyperliquid on-chain data, or Freqtrade bot control. Also use when the user asks to set up automated trading, deploy Freqtrade, backtest strategies, or control a trading bot. Scripts auto-load .env — just run them directly. If a script fails due to missing credentials, guide the user through the Setup Checklist in SKILL.md.

modbender/skill-library-mcp Agent Skills author: modbender MIT 18 files body ≈ 7 595 tokens Open the sourcegithub.com↗ analyzed 2 d ago

Use this skill when the user asks to buy, sell, or trade crypto on exchanges like Binance, OKX, Bybit, Bitget, Gate, HTX, KuCoin, MEXC, or Coinbase — spot or…

As a process B 71/100 · Nearly there — weak spots: result and completion

ProcedureInfrastructuretype 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
86/100
safety, quality, tests
Safety 60%
93
Quality 40%
75
Run on models
none yet
Process rating
B
71/100
Nearly there
Result and completion w 14
0
Tools and files w 18
60
Inputs and preconditions w 11
70
the three weakest of ten parameters · all ten

What is at stake

Medium-severity findings: the skill is probably honest, but read what alarmed the scanner.

Exfiltration medium severity

Below is the worst case for this category. The finding here is medium: the guard saw a sign, not a proof.

If you install

The instructions or scripts send data out: environment variables, keys, file contents, chat history. You may never notice, because the agent performs the upload as "part of the task".

For the author

If the upload is not needed for the task, remove it: catalogs flag such skills and delist them. If it is needed, name the destination explicitly, say what leaves the machine, and give the user a switch.

How to improve

  1. The SKILL.md body is over 5,000 tokens: move reference detail into references/ and load it when needed.
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 · 3

✓ No critical or high findings

Medium and low: 3
  • medium Exfiltration net-redirectable-api-key lib/aicoin-api.mjs:41
    Helper sends the API key to a host configured by an environment variable — the key can be redirected to another server
    API key + configurable base URL from environment
  • low Secrets in code secret-high-entropy-token lib/defaults.json:3
    High-entropy token-like string (may be an id, hash or a credential) (quoted — discussed, not commanded)
    "accessKeyId": "ronJ…E22",
    quoted
  • low Secrets in code secret-high-entropy-token lib/defaults.json:4
    High-entropy token-like string (may be an id, hash or a credential) (quoted — discussed, not commanded)
    "accessSecret": "CWHZ…TwU"
    quoted

Files scanned: 18. Evidence is masked. Grey chips explain why severity was lowered.

Against the Agent Skills spec

  • warning body-long SKILL.md body ≈ 7595 tokens (recommended < 5000); move details to references/

Process rating: all ten parameters 71/100

  • 0Result and completion. Does not say what the result is
  • 60Tools and files. Uses tools (bash, web, git, python, node) that frontmatter does not declare
  • 70Inputs and preconditions. Inputs and preconditions are listed
  • 70Execution cost. Instruction body is 7595 tokens
  • 85Steps. 65 steps, 2 vague phrases
  • 100When it triggers. States when to use and when not to
  • 100Failures and branches. 1 branches, has a failure section
  • 100Consistency. Name and required fields are in place
  • 100Running it twice. Mutating operations check current state
  • 100Progress reporting. Reports progress
  • medium Safety rules and hard prohibitions inside a skill: they belong in the system prompt, here they protect nothing
  • low The response is described with custom markup (3 tags): a typed call is more reliable

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
  • -2localhost URLs: will not work for another user
  • +1No license
  • +2Single-language instructions
  • +3Description length 768: enough signal without eating the budget
  • +4Structure: 53 headings
  • +3Step-by-step instructions: 65 items
  • +4Has examples (16 code blocks)
  • +3All 13 scripts are documented

Quality base 70; lint remarks subtract, signals add up to 100. Result: 75.