playbook

playbook is a skill for Claude Code from dvgamerr-app/gokub-mcp. It costs 97 tokens per session (2,106 once invoked), scanned A, original, MIT.

A trading playbook for long-only swing trades on Bitkub, a Thai cryptocurrency exchange, using Thai-baht pairs. It defines a sequence for screening coins, checking the market trend, evaluating signals, sizing positions, validating trades, placing orders, managing them, and logging results.

In plain words
What is it for?
Finding and evaluating Bitkub trades, calculating position size from a stop level, rejecting trades that fail the validation or reward-to-risk rules, placing and managing orders, protecting open positions, and reviewing performance.
Why use it?
It imposes consistent checks and risk limits before a trade is placed. It also accounts for Bitkub not having a built-in stop-loss or one-cancels-the-other order, so positions need client-side protection.

Skill for Claude Code

Written for Claude Code: shipped in a Claude Code plugin.

Part of the bitkub-trade plugin — 3 skills shipped together

Good fit Finding and evaluating Bitkub trades, calculating position size from a stop level, rejecting trades that fail the validation or reward-to-risk rules, placing and managing orders, protecting open positions, and reviewing performance.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/dvgamerr-app/gokub-mcp/playbook
Install

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.

Any agent
npx skills add dvgamerr-app/gokub-mcp --skill playbook
Clone the repo
git clone --depth 1 https://github.com/dvgamerr-app/gokub-mcp

Made for: Claude Code.

Or install bitkub-trade, the plugin that ships this one along with the rest of its 3 skills.

Wrote 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.

agentmods badge for playbook

README.md
[![agentmods](https://agentmods.dev/badge/skills/dvgamerr-app/gokub-mcp/playbook/github.svg)](https://agentmods.dev/skills/dvgamerr-app/gokub-mcp/playbook)
Your own site
<a href="https://agentmods.dev/skills/dvgamerr-app/gokub-mcp/playbook"><img src="https://agentmods.dev/badge/skills/dvgamerr-app/gokub-mcp/playbook/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.

agentmods 80×15 button for playbook

Your own site · 80×15
<a href="https://agentmods.dev/skills/dvgamerr-app/gokub-mcp/playbook"><img src="https://agentmods.dev/badge/skills/dvgamerr-app/gokub-mcp/playbook.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 97 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 2,106 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe.
Origin original No closer match found in the catalogue.
Token cost

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.

ModelPer sessionOnce invoked
Fable 5.1 $0.00097 $0.02106
Opus 5 $0.00048 $0.01053
Sonnet 5 $0.00019 $0.00421
Haiku 4.5 $0.00010 $0.00211

Measured 11d ago against content hash 865366e96263, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-11, from the pricing page.

Security

Grade A, and why

playbook scanned grade A with 0 findings 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 11d 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.

Nothing flagged

None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.

plugins/bitkub-trade/skills/playbook/SKILL.md · 132 lines

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.

Bitkub Trade Playbook

Long-only swing trading on Bitkub THB pairs via the gokub-mcp tools. The tools are the hands; this is the brain. Follow the flow, respect the guardrails, never skip the validation gate.

Execution discipline (never violate)

  • Run the full flow autonomously. Never pause mid-flow to ask whether to continue. Screen → regime → signal → size → validate → decide — all in one pass.
  • Report results, not options. End with a decision table (pass/fail per coin, with entry/stop/TP for any that pass) and the reason. Never end with "ถ้าต้องการจะรันต่อ…" or any conditional offer.
  • No raw data dumps. Never return raw candle arrays or large result blobs to the user. Summarize each intermediate step in ≤ 1 line.

Hard guardrails (never violate)

  • Risk ≤ 2% of equity per trade. Size from the stop, not from a fixed amount.
  • Long only, uptrend only. No shorting, no counter-trend entries.
  • No entry unless validate_trade_setup returns can_trade=true. This is the gate.
  • Take-profit ≥ 2R. If R:R < 2, skip the trade.
  • Bitkub has NO native stop/OCO. Protect positions with client_side_stop_worker (poll it on a loop until triggered=true). Never assume a resting stop exists.
  • Never lower a trailing stop. Move it up only.
  • No averaging down on a short-term plan.

Key mechanic: indicators need candles

The analysis tools (check_market_regime, calculate_atr, calculate_rsi, detect_breakout_signal, detect_pullback_signal, calculate_ema, calculate_roc) take arrays (prices or OHLCV candles), not a symbol. So always:

  1. get_historical_candles(symbols=[symbol], format="close") — returns result.prices[] directly.
  2. Pass result.prices into price-based tools (EMA, RSI, ROC, regime) or use result.candles (default format) for OHLCV tools (ATR, breakout, pullback, exit signals).

Use the big timeframe (1D / 240) for regime + relative strength, the entry timeframe (60 / 15) for ATR + entry signals.

Read the full file on GitHub · 132 lines

Changes

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.

  1. 11d ago First seen · 132 lines · 97 tokens per session scan A 865366e96263

Subscribe to this mod's changes

playbook is a skill published in the GitHub repository dvgamerr-app/gokub-mcp (2 stars, last pushed 24d ago), licensed MIT. It adds 97 tokens to every session and 2,106 once invoked, about $0.0005 per session on Opus 5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-31.