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BC aicoin-market

Crypto market data from AiCoin Open API v3 — 200+ exchanges, real-time. Use this skill whenever the user asks about crypto prices, K-lines/charts, funding rates, open interest, long/short ratios, whale/big orders, liquidation maps, order book depth, crypto news, newsflash, Twitter/X crypto posts, trending coins, airdrops, drop radar / airdrop research, project analysis, exchange listings, crypto-related stocks, global stock indices, corporate treasury holdings (BTC/ETH), Grayscale holdings, fear & greed / indices, market signals, or AI coin picks. Triggers include: 'BTC price', 'check price', 'K线', '资金费率', '多空比', '持仓量', '鲸鱼单', '大单', '清算', 'liquidation map', '深度', 'crypto news', '快讯', '推特', 'Twitter', '热门币', 'trending', '空投', 'airdrop', '空投研报', '项目分析', '上了哪些交易所', 'ETF', '监管', '灰度', '国库', '上市公司持币', '加密概念股', '恐慌贪婪指数', '查行情', '看价格', '大饼多少钱'. ALWAYS run the script for real data — NEVER invent prices or market data, NEVER use web_search/web_fetch/browser for crypto data. For Hyperliquid whale/trader analytics use aicoin-hyperliquid; for exchange trading use aicoin-trading; for Freqtrade strategies use aicoin-freqtrade; for on-chain DEX swaps use aicoin-onchain.

ClawHub Agent Skills author: Proca v4.0.0 MIT-0 7 files body ≈ 1 245 tokens Open the sourceclawhub.ai↗ analyzed 3 d ago

As a process C 53/100 · Has gaps — weak spots: result and completion, inputs and preconditions, failures and branches

IntegrationData and analyticsInfrastructuretype 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
80/100
safety, quality, tests
Safety 60%
92
Quality 40%
63
Run on models
none yet
Process rating
C
53/100
Has gaps
Result and completion w 14
0
Inputs and preconditions w 11
0
Failures and branches w 10
0
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. Shorten the description to 1024 characters.
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 · 4

✓ No critical or high findings

Medium and low: 4
  • medium Exfiltration net-redirectable-api-key lib/client.mjs:34
    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
  • low Dangerous commands cmd-autorun-instruction SKILL.md:3
    Instructs the agent to auto-run a script on every session (quoted — discussed, not commanded)
    description: "Crypto market data from AiCoin Open API v3 — 200+ exchanges, real-time. Use this skill whenever the user asks about crypto prices, K-lines/charts, funding rates, open interest, long/shor
    quoted

Files scanned: 7. Evidence is masked. Grey chips explain why severity was lowered.

Against the Agent Skills spec

  • error description-long description is 1173 chars, limit 1024

Process rating: all ten parameters 53/100

  • 0Result and completion. Does not say what the result is
  • 0Inputs and preconditions. Does not say what the process needs to start
  • 0Failures and branches. Linear process with no failure handling
  • 0Progress reporting. Says nothing while it works
  • 30Running it twice. 3 mutating operations with no state check
  • 60Tools and files. Uses tools (web, node) that frontmatter does not declare
  • 100Steps. 10 steps
  • 100When it triggers. States when to use and when not to
  • 100Consistency. Name and required fields are in place
  • 100Execution cost. Instruction body is 1245 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
  • +3Description length 1173: 120–800 characters recommended
  • +3Output format is not stated: the model decides each time
  • +1No license
  • +2Single-language instructions
  • +4Description says when NOT to use the skill
  • +4Structure: 6 headings
  • +3Step-by-step instructions: 10 items
  • +4Has examples (4 code blocks)
  • +3All 1 scripts are documented

Quality base 70; lint remarks subtract, signals add up to 100. Result: 63.

External checks

ClawHub: suspicious
This appears to be a real AiCoin market-data skill, but it needs review because it broadly handles local credentials and exposes broader analytics than its routing text suggests.
LLM: suspicious (high) · 28 May 2026