Agent skill

trading-discipline

Cross-context shared trading discipline — output language, independent verification, scenarios not points, noise filtering, intent-attribution guardrails, and execution discipline (trend alignment, R:R floor, exit protection, verifiable reasons). Injected into both the app-side judgment agents (analyst / deepDive / chat) and the bench episode runner. Context-specific chapters live under references/ and are loaded on demand by the caller (app or bench).

kansoku-tradegithub.com/kansoku-tradeGitHub ↗
claude-codeNOASSERTION
Install
npx skills add kansoku-trade/kansoku --skill trading-discipline --agent claude-code

Same command for any agent — swap --agent for codex, cursor, copilot.

Facts
Files in the skill folder: 5
SKILL.md size: 10 KB
Bundled scripts: none
Path: .claude/skills/trading-discipline/SKILL.md
Open the folder on GitHub →
Where it comes from
Stars: 272
Language: TypeScript

Weekly change comes from our own snapshots, not the repository page — it measures attention, not adoption.

From the SKILL.md

# Trading Discipline (Shared Core) > **This SKILL.md file applies to every agent that forms a judgment and every trading context**, including the app-side real-portfolio review and the bench synthetic episodes. > > Any additional chapters listed at the end of this prompt (composed in from the `references/` directory according to the runtime) are just as binding as this core file. Follow them the same way you follow the rules below. > > Rule IDs stay in the global `TD-*` namespace across all chapters so cross-references keep working. Chapter inventory (which chapters actually appear depends on your runtime): > > - `references/us-market-data.md` — app runtime. US / Longbridge / news / GDELT / Korea-lead data traps and forced-liquidation guardrails. > - `references/market-analysis.md` — app runtime. Post-mortem discipline, mindset, leveraged-ETF mechanics. > - `references/journal.md` — app runtime. Write-rules for the `journal/` and `stocks/` directories. > - `references/episode-execution.md` — bench runtime. Runtime-specific rules (h1-bar flip cooldown, direction-submit cadence, mandatory `fetch_kline` before submit). > > **Domain skills reference rule IDs only; they do not copy rule

What's inside
Steps it walks through
  1. A. Output (applies to every produced artifact)
  2. C. Judgment Discipline (applies to any agent that concludes)
  3. F. Execution Discipline (applies to any trade decision — bench or live)
  4. Related
Ships with 4 files
  • references/episode-execution.md
  • references/journal.md
  • references/market-analysis.md
  • references/us-market-data.md
More from kansoku
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About this skill
What does the trading-discipline skill do?

Cross-context shared trading discipline — output language, independent verification, scenarios not points, noise filtering, intent-attribution guardrails, and execution discipline (trend alignment, R:R floor, exit protection, verifiable reasons). Injected into both the app-side judgment agents (analyst / deepDive / chat) and the bench episode runner. Context-specific chapters live under references/ and are loaded on demand by the caller (app or bench).

How do I install it?

Run `npx skills add kansoku-trade/kansoku --skill trading-discipline --agent claude-code` — it drops the skill into your project so the agent can pick it up. Swap the --agent value for codex, cursor or copilot if you use one of those.

Where does this skill come from?

From kansoku-trade/kansoku, a repository with 272 stars. We read it straight from the repository tree rather than a submitted listing, so what you see here is what is actually published.

Is a popular skill a good skill?

Not necessarily. Stars measure attention, not adoption — a repository can trend for a week and be abandoned. That is why we show the weekly change from our own snapshots next to the total, instead of a single flattering number.

Keep going