Getting it into your agent
One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.
npx skills add xbotlive/btse-mcp --skill btse-account-setupgit clone --depth 1 https://github.com/xbotlive/btse-mcpWrote this? Show the measurements
A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.
[](https://agentmods.dev/skills/xbotlive/btse-mcp/btse-account-setup)<a href="https://agentmods.dev/skills/xbotlive/btse-mcp/btse-account-setup"><img src="https://agentmods.dev/badge/skills/xbotlive/btse-mcp/btse-account-setup/github.svg" alt="Measured on agentmods" height="20"></a>Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.
<a href="https://agentmods.dev/skills/xbotlive/btse-mcp/btse-account-setup"><img src="https://agentmods.dev/badge/skills/xbotlive/btse-mcp/btse-account-setup.svg" alt="Reviewed on agentmods" width="80" height="20"></a>What it costs to keep this loaded
Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5.1 | $0.00024 | $0.00943 |
| Opus 5 | $0.00012 | $0.00472 |
| Sonnet 5 | $0.00005 | $0.00189 |
| Haiku 4.5 | $0.00002 | $0.00094 |
Grade B, and why
btse-account-setup scanned grade B with 1 finding against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 9d ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Asks for rootmediumPrivilege escalation
A mod that escalates privileges can change anything on the machine, not only the project.
Credentials are stored encrypted at `~/.config/btse-mcp/accounts.enc` using a Fernet key at `~/.config/btse-mcp/key` (chmod 600 on Unix). How it starts
The opening of the file, as written. The whole thing — 132 lines — stays where its author put it; the contents beside it link to each section on GitHub.
BTSE Account Setup
Getting API Keys
Testnet (start here)
- Register at https://testnet.btse.io
- Go to Account → API tab → New API
- Save the API Key and Passphrase — the passphrase is your
api_secretand is shown only once - Set permissions: Read + Trading (add Transfer if needed)
Live
Same steps at https://btse.com
Configuring an Account
# Configure the default account
btse-mcp config
# Configure a named account (e.g. a separate testnet account)
btse-mcp config --account-id testnet
You will be prompted for:
- API Key — paste from BTSE
- API Secret — paste passphrase (input is hidden)
- Use testnet? — y for testnet, N for live
Credentials are stored encrypted at ~/.config/btse-mcp/accounts.enc using a Fernet key at ~/.config/btse-mcp/key (chmod 600 on Unix).
Verifying the Connection
# Test the default account
btse-mcp test
# Test a named account
btse-mcp test testnet
A successful test prints the current BTC-PERP last price and mark price.
Common failures:
| Error | Cause | Fix |
|---|---|---|
| Connection FAILED: HTTP 401 | Wrong API key or secret | Re-run btse-mcp config |
| Connection FAILED: HTTP 403 | Key missing Read permission | Add Read permission in BTSE API settings |
| Unexpected response | Wrong testnet setting | Check with btse-mcp list and reconfigure |
Listing and Managing Accounts
# List all configured accounts (shows testnet/live flag)
btse-mcp list
# Delete an account
btse-mcp delete testnet
Using Multiple Accounts
All tools accept an optional account_id parameter:
btse_get_price(symbol="BTC-PERP", account_id="testnet")
btse_account_overview(account_id="live-main")
Default is "default" when account_id is omitted.
Important: If you reconfigure an account with btse-mcp config, restart the MCP server (restart Claude Desktop / Cursor) for the new credentials to take effect. The server caches clients per account for the lifetime of the process.
What this file has done since we first saw it
Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.
- 9d ago First seen · 132 lines · 24 tokens per session scan B 4a1df386ee7d
btse-account-setup is a skill published in the GitHub repository xbotlive/btse-mcp (0 stars, last pushed 6mo ago), licensed MIT. It adds 24 tokens to every session and 943 once invoked, about $0.0001 per session on Opus 5. A static security scan graded it B with 1 finding (asks for root). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-31.
Other skills, from other repositories
sector-rotation
An analysis framework for comparing industries in the Chinese A-share stock market, using business conditions, price momentum, valuation, and money flows. It produces rankings and higher- or lower-allocation suggestions.
strategy-pivot-designer
Detect backtest iteration stagnation and generate structurally different strategy pivot proposals when parameter tuning reaches a local optimum.
twitter-reader
Read Twitter/X for financial research using opencli (read-only). Use this skill whenever the user wants to read their Twitter feed, search for financial tweets, view bookmarks, look up user profiles, or gather market sentiment from Twitter/X. Triggers include: "check my feed", "search Twitter for", "show my…
chenhao-limit-up
A framework for judging Chinese A-share stocks that have reached the daily price-rise limit, using market mood, sector leadership, and trading momentum.
trading-risk-gate
Unified pre-trade safety gate: Ruin check (Law #1), ergodicity audit, and win-rate dominance validation. Absorbs: ergodicity-check, law-of-ruin, win-rate-dominance.
vectorbt
High-performance vectorized backtesting with parameter optimization, portfolio simulation, and rich performance metrics.