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deepseek-usage

deepseek-usage

【数据与研究】Check DeepSeek API usage (balance, this month's spending, token breakdown by model, daily breakdown, and cache hit rate). Access the DeepSeek Open Platform through browser_use, automatically log in, and export monthly data. Users must configure their DeepSeek account in local environment variables. Triggered when the user says "check usage," "view to…

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技能说明

GitHub

name: deepseek-usage description: > Check DeepSeek API usage (balance, this month's spending, token breakdown by model, daily breakdown, and cache hit rate). Access the DeepSeek Open Platform through browser_use, automatically log in, and export monthly data. Users must configure their DeepSeek account in local environment variables. Triggered when the user says "check usage," "view token consumption," "check spending," "how much balance is left," or "how much was used today." version: 1.1.0 compatibility: Requires python3. DEEPSEEK_EMAIL and DEEPSEEK_PASSWORD env vars.

DeepSeek API Usage Query

⚠️ Security Notice This skill requires DeepSeek login credentials to work. Credentials are stored only in local environment variables. Minis does not upload them to any server. If you do not trust this method, delete this skill or do not set any credentials.

Prerequisite Configuration (first use only)

1. Set Environment Variables

Add the following two variables in Minis Settings → Environment Variables:

Variable NameDescriptionExample Value
DEEPSEEK_EMAILYour DeepSeek platform login email addressuser@example.com
DEEPSEEK_PASSWORDYour DeepSeek platform login passwordyour_password_here

🔗 Click here to open the environment variable settings

If your account uses a third-party login such as Google or WeChat, you cannot use this skill.

2. Verify the Configuration

[ -n "$DEEPSEEK_EMAIL" ] && [ -n "$DEEPSEEK_PASSWORD" ] && echo "Configured" || echo "Not configured"

Query Process (requires only 2 tool calls)

Step 1: Navigate and Ensure Login (1 tool call)

Action:
  - set_user_agent: desktop_chrome
  - navigate: https://platform.deepseek.com/usage
  - If not logged in, fill DEEPSEEK_EMAIL / DEEPSEEK_PASSWORD from environment variables and submit the login form
  - wait_for_dom_stable

Step 2: Run the complete JS script in one step (1 execute_js)

The following JS script completes all logic: get token → download ZIP → unzip → parse CSV → output.

Run the entire JS script as the argument to execute_js --script in a single execution.

(async () => {
  // === Get summary text ===
  // Extract with get_readable (done outside execute_js)

  // === Get Token ===
  const token = JSON.parse(localStorage.getItem('userToken')).value;
  if (!token) return JSON.stringify({ error: 'no_token' });

  // === Download zip ===
  const resp = await fetch('https://platform.deepseek.com/api/v0/usage/export?month=5&year=2026', {
    headers: { 'Authorization': 'Bearer ' + token }
  });
  const blob = await resp.blob();

  // === Load JSZip ===
  const script = document.createElement('script');
  script.src = 'https://cdnjs.cloudflare.com/ajax/libs/jszip/3.10.1/jszip.min.js';
  await new Promise(r => { script.onload = r; document.head.appendChild(script); });

  // === Unzip ===
  const zip = await JSZip.loadAsync(blob);
  const costText = await zip.file('cost-2026-5.csv').async('text');
  const amountText = await zip.file('amount-2026-5.csv').async('text');

  // === Parse cost (fees) ===
  // ⚠️ Header: user_id, utc_date, model, wallet_type, cost, currency
  const costLines = costText.trim().split('\n').slice(1);
  const modelCost = {};
  let totalCost = 0;
  for (const line of costLines) {
    const p = line.split(',');
    const model = p[2], cost = parseFloat(p[4]) || 0;
    modelCost[model] = (modelCost[model] || 0) + cost;
    totalCost += cost;
  }

  // === Parse amount (usage, filter by date as needed) ===
  // ⚠️ Header: user_id, utc_date, model, api_key_name, api_key(sensitive!), type, price, amount
  // ⚠️ Security warning: Column 5 is the plaintext api_key. Do not print entire lines! You must use index references.
  const allLines = amountText.trim().split('\n').slice(1);

  // Filtering rule: if the user asks about today's usage, filter to today; if the user asks about this month's usage, use the full month
  // Default is today. For today's usage, uncomment the following line:
  // const targetDate = 'current date in YYYY-MM-DD format';
  // const filteredLines = targetDate ? allLines.filter(l => l.split(',')[1] === targetDate) : allLines;
  const filteredLines = allLines; // Default: full month

  const models = {};
  for (const line of filteredLines) {
    const p = line.split(',');
    const model = p[2], type = p[5], amount = parseInt(p[7]) || 0;
    if (!models[model]) models[model] = { requests: 0, cache_hit: 0, cache_miss: 0, output: 0 };
    if (type === 'request_count') models[model].requests += amount;
    else if (type === 'input_cache_hit_tokens') models[model].cache_hit += amount;
    else if (type === 'input_cache_miss_tokens') models[model].cache_miss += amount;
    else if (type === 'output_tokens') models[model].output += amount;
  }

  // === Summary output ===
  let result = '';
  let gr = 0, go = 0, gh = 0, gm = 0;

  for (const [m, d] of Object.entries(models)) {
    const ti = d.cache_hit + d.cache_miss;
    const hr = ti > 0 ? (d.cache_hit / ti * 100).toFixed(1) : '0.0';
    const co = modelCost[m] || 0;
    result += `${m}|${d.requests}|${d.output}|${d.cache_hit}|${d.cache_miss}|${ti}|${hr}|${co.toFixed(2)}\n`;
    gr += d.requests; go += d.output; gh += d.cache_hit; gm += d.cache_miss;
  }

  const ti = gh + gm;
  const hr = ti > 0 ? (gh / ti * 100).toFixed(1) : '0.0';
  result += `TOTAL|${gr}|${go}|${gh}|${gm}|${ti}|${hr}|${totalCost.toFixed(2)}`;

  return result;
})();

⚠️ Note: execute_js returns text wrapped in JSON. The AI needs to parse data.text to get the actual result.

Step 3: Screenshot (1 tool call, optional)

screenshot: current page

Step 4: Report (memory_write is decided by the user)

Whether to write the results to the daily log is decided by the user. Write only when the user explicitly asks.

Output Format

Balance: ¥X.XX | Spent This Month: ¥X.XX

Usage Screenshot

ModelRequestsOutput TokensCache HitsCache MissesTotal Input TokensCache Hit RateCost
deepseek-v4-proXXXXXX%¥X.XX
deepseek-v4-flashXXXXXX%¥X.XX
TotalXXXXXX%¥X.XX

⚠️ Security Precautions (must be followed)

API Key Leakage Risk

Column 5 (index 4) of the amount CSV is the api_key field and contains the user's DeepSeek API Key in plaintext.

Requirements:

  • When parsing CSV, use column index references such as p[2], p[5], and p[7]; do not reference the entire line
  • Do not directly or indirectly display api_key content in any reply, log, or screenshot
  • If you need to inspect CSV content during debugging, print only the header (row 1), not the data rows

Credential Security

  • Email and password are stored in Minis local environment variables and are not uploaded
  • The localStorage token is valid only for the current browser session
  • We recommend changing your password regularly

Troubleshooting Notes

IssueCauseSolution
Export button click has no effectThe export button is a <div>, not a <button>Use querySelector to match the text "Export", then call .click()
browser_use fetch returns Missing Tokenfetch does not include page cookiesUse execute_js instead to run fetch in the page context
JSZip fails to loadThe import() method is not supportedUse document.createElement('script') to dynamically load the CDN
CSV parses to 0 recordsIncorrect field indexes were guessedFirst confirm the headers (8 columns for amount, 6 columns for cost), then reference by index
amount.csv contains plaintext API KeyColumn 5 is api_keyUse column indexes during parsing; do not print the entire row
minis-browser-use CLI loses state across callsEach call is a separate processPut all JS logic in a single execute_js execution; do not pass state across navigate and execute_js
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