Longbridge Market Data
helsome/folio
Real-time quotes, K-line charts, order book, trade ticks, intraday capital flow, market sentiment temperature, trading session schedule, security lists, exchange rates, and IPO calendar for…
Cross-context shared trading discipline — output language, independent verification, scenarios not points, noise filtering, intent-attribution guardrails, and execution discipline (trend alignment…
Install Trading Discipline
$ npx skills add kansoku-trade/kansoku --skill trading-discipline -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install kansoku-trade/kansoku trading-discipline --agent claude-codeProject scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).
$ git clone --depth 1 https://github.com/kansoku-trade/kansoku.git skills-src && mkdir -p .claude/skills && cp -r skills-src/.claude/skills/trading-discipline .claude/skills/trading-discipline && rm -rf skills-srcUse ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.
Claude Code skills documentation · loads skills from .claude/skills/
Install the "trading-discipline" agent skill from https://github.com/kansoku-trade/kansoku/tree/main/.claude/skills/trading-discipline into .claude/skills/trading-discipline/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "trading-discipline", then confirm the skill loads.Claude Code copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$skill-installer install https://github.com/kansoku-trade/kansoku/tree/main/.claude/skills/trading-disciplineType this inside Codex. $skill-installer <name> installs a curated skill from openai/skills. The installer writes to $CODEX_HOME/skills (default ~/.codex/skills). Restart Codex if the skill does not show up.
$ npx skills add kansoku-trade/kansoku --skill trading-discipline -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install kansoku-trade/kansoku trading-discipline --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/kansoku-trade/kansoku.git skills-src && mkdir -p .agents/skills && cp -r skills-src/.claude/skills/trading-discipline .agents/skills/trading-discipline && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "trading-discipline" agent skill from https://github.com/kansoku-trade/kansoku/tree/main/.claude/skills/trading-discipline into .agents/skills/trading-discipline/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "trading-discipline", then confirm the skill loads.Codex copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add kansoku-trade/kansoku --skill trading-discipline -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install kansoku-trade/kansoku trading-discipline --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/kansoku-trade/kansoku.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/.claude/skills/trading-discipline .cursor/skills/trading-discipline && rm -rf skills-srcUse ~/.cursor/skills/ instead of .cursor/skills for a personal install.
Cursor skills documentation · loads skills from .cursor/skills/, .agents/skills/, .claude/skills/, .codex/skills/
Install the "trading-discipline" agent skill from https://github.com/kansoku-trade/kansoku/tree/main/.claude/skills/trading-discipline into .cursor/skills/trading-discipline/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "trading-discipline", then confirm the skill loads.Cursor copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gemini skills install https://github.com/kansoku-trade/kansoku.git --path .claude/skills/trading-discipline--scope user (default) or --scope workspace; --path is the subfolder of the repo that holds the skill; --consent skips the security confirmation prompt.
$ npx skills add kansoku-trade/kansoku --skill trading-discipline -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install kansoku-trade/kansoku trading-discipline --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/kansoku-trade/kansoku.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/.claude/skills/trading-discipline .gemini/skills/trading-discipline && rm -rf skills-srcUse ~/.gemini/skills/ instead of .gemini/skills for a personal install, then run /skills reload.
Gemini CLI skills documentation · loads skills from .gemini/skills/, .agents/skills/
Install the "trading-discipline" agent skill from https://github.com/kansoku-trade/kansoku/tree/main/.claude/skills/trading-discipline into .gemini/skills/trading-discipline/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "trading-discipline", then confirm the skill loads.Gemini CLI copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gh skill install kansoku-trade/kansoku trading-disciplineInstalls for Copilot at project scope by default; add --scope user for a personal install. Preview a skill first with gh skill preview. Needs GitHub CLI 2.90.0 or later (public preview).
$ npx skills add kansoku-trade/kansoku --skill trading-discipline -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/kansoku-trade/kansoku.git skills-src && mkdir -p .github/skills && cp -r skills-src/.claude/skills/trading-discipline .github/skills/trading-discipline && rm -rf skills-srcUse ~/.copilot/skills/ instead of .github/skills for a personal install. Commit .github/skills so cloud agent and code review can use it.
GitHub Copilot skills documentation · loads skills from .github/skills/, .claude/skills/, .agents/skills/
Install the "trading-discipline" agent skill from https://github.com/kansoku-trade/kansoku/tree/main/.claude/skills/trading-discipline into .github/skills/trading-discipline/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "trading-discipline", then confirm the skill loads.GitHub Copilot copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add kansoku-trade/kansoku --skill trading-discipline -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install kansoku-trade/kansoku trading-discipline --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/kansoku-trade/kansoku.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/.claude/skills/trading-discipline .opencode/skills/trading-discipline && rm -rf skills-srcUse ~/.config/opencode/skills/ instead of .opencode/skills for a personal install.
OpenCode skills documentation · loads skills from .opencode/skills/, .claude/skills/, .agents/skills/
Install the "trading-discipline" agent skill from https://github.com/kansoku-trade/kansoku/tree/main/.claude/skills/trading-discipline into .opencode/skills/trading-discipline/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "trading-discipline", then confirm the skill loads.OpenCode copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
Facts
- Skill name
trading-discipline- GitHub stars
- 328
- Token cost
- ~2.7k tokens
- SKILL.md length
- 1,394 words
- Files
- 5 (incl. references)
- Skills in repo
- 13
- Repo updated
- First seen
- Licence
- Custom licence
At a glance
Cross-context shared trading discipline — output language, independent verification, scenarios not points, noise filtering, intent-attribution guardrails, and execution discipline (trend alignment…
- Works in 6 steps: Restate the specific claim precisely. → Check the data most likely to refute it… → When the claim concerns current price… → …
- Tasks that involve Trading and backtesting
- SKILL.md covers A. Output (applies to every…, C. Judgment Discipline…, F. Execution Discipline… and Related
- Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md
What it does
Trading Discipline is an agent skill from kansoku-trade/kansoku. 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).
Its SKILL.md is about 2.7k tokens, which your agent loads only when the skill is triggered. The skill folder holds 7 other files, including reference files (for example `references/app/journal.md`, `references/app/market-analysis.md` and `references/app/us-market-data.md`).
It sits in Business, Finance & HR, covering Trading and backtesting. It works with Longbridge. The repository describes itself as: AI Stock Partner on Your Mac – Local Market Information, Multi-timeframe K-line, AI Intraday Comments and Follow-up Analysis.
When your agent uses it
- Tasks that involve Trading and backtesting
Example prompts
- “/trading-discipline”
Workflow steps
6 steps, taken from the first numbered list in SKILL.md.
- Restate the specific claim precisely.
- Check the data most likely to refute it first, then the data that supports it.
- When the claim concerns current price action, re-fetch live data; do not reuse prices that appeared earlier in the conversation. In…
- Return one of four verdicts: supported / partial / contradicted / insufficient.
- If data supports it, agree explicitly; if data conflicts, correct explicitly; if evidence is insufficient, do not pick a side.
- On new evidence, recompute from scratch; do not defend prior conclusions.
What it can do on your machine
Read from SKILL.md and the folder at commit 8fa9a03. It shows what the files ask for, not the result of running them.
Tool permissions
Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.
From allowed-tools in the SKILL.md frontmatter.
Runs code
No scripts in the folder and no shell commands in SKILL.md.
From the folder's file list and the shell code blocks in SKILL.md.
Network
No URLs in SKILL.md.
From URLs in SKILL.md, links to its own repository left out.
Credentials
Names no API keys, tokens, secrets or passwords.
From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.
Context cost
Trading Discipline loads about 2.7k tokens when it runs, and up to ~5.2k if it reads all its reference files. Until then it costs about 119 tokens; SKILL.md has 1,394 words of instructions outside code blocks.
Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.
Safety
Auto-check passed
The automated check found no risky patterns in SKILL.md.
Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); files beside SKILL.md are not scanned.
SKILL.md
Its licence (Custom licence) doesn't allow us to republish the file, so here is its outline and opening line. It has 1,394 words (~2,659 tokens).
“TD-LANG-01 — Reply in modern vernacular Chinese (中文白话). No classical Chinese, no 文言. Applies to conversational replies, logs, stock notes, specs, READMEs. Rule text (this file) is in English so it survives across bench/app contexts; user-visible OUTPUT is what the…”
- name
- trading-discipline
Files
SKILL.md and 4 other files (references) in .claude/skills/trading-discipline of kansoku-trade/kansoku.
- SKILL.md
- references/app/journal.md
- references/app/market-analysis.md
- references/app/us-market-data.md
- references/bench/episode-execution.md
Open the folder on GitHubat commit 8fa9a03
Compare with similar skills
Trading Discipline next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.
| Skill | Stars | Used in | Tokens | Auto-check | Licence | Repo updated |
|---|---|---|---|---|---|---|
| Trading Discipline this skillkansoku-trade/kansoku | 328 | — | ~2.7k | Automated safety check: Pass | Custom licence | |
| Longbridge Market Datahelsome/folio | 271 | 1 repos | ~1.6k | Automated safety check: Pass | MIT | |
| Longbridge Technicalhelsome/folio | 271 | 1 repos | ~1.5k | Automated safety check: Pass | MIT | |
| Longbridge Quantsickn33/agentic-awesome-skills | 47k | 1 repos | ~1.5k | Automated safety check: Pass | MIT | |
| Longbridge Market Datasickn33/agentic-awesome-skills | 47k | 1 repos | ~1.7k | Automated safety check: Pass | MIT | |
| Vibe-Trading Finance ToolkitHKUDS/Vibe-Trading | 35k | — | ~6.5k | Automated safety check: Pass | MIT |
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面向中文自然语言的 Tushare 数据研究技能。用于把“看看这只股票最近怎么样”“帮我查财报趋势”“最近哪个板块最强”“北向资金在买什么”“给我导出一份行情数据”这类请求，转成可执行的数据获取、清洗、对比、筛选、导出与简要分析流程。适用于 A 股、指数、ETF/基金、财务、估值、资金流、公告新闻、板块概念与宏观数据等研究场景。
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Related
Works with
Categories
Questions about Trading Discipline
What does Trading Discipline do?
Cross-context shared trading discipline — output language, independent verification, scenarios not points, noise filtering, intent-attribution guardrails, and execution discipline (trend alignment…. Trading Discipline is an agent skill from kansoku-trade/kansoku. 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).
When should I use Trading Discipline?
Trading Discipline fits situations like: tasks that involve Trading and backtesting.
How do I install Trading Discipline in Claude Code?
Run `npx skills add kansoku-trade/kansoku --skill trading-discipline -a claude-code`. Or copy the skill folder (.claude/skills/trading-discipline in kansoku-trade/kansoku) into .claude/skills/trading-discipline in your project. Claude Code loads it when a task matches its description.
How do I install Trading Discipline in Codex?
Run `npx skills add kansoku-trade/kansoku --skill trading-discipline -a codex`. Or copy the skill folder (.claude/skills/trading-discipline in kansoku-trade/kansoku) into .agents/skills/trading-discipline in your project. Codex loads it when a task matches its description.
Can I use Trading Discipline in Cursor, Gemini CLI or GitHub Copilot?
Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add kansoku-trade/kansoku --skill trading-discipline -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/trading-discipline, .gemini/skills/trading-discipline, .github/skills/trading-discipline and .opencode/skills/trading-discipline in your project.
What does Trading Discipline need to run?
SKILL.md names no scripts, command-line tools or credentials: Trading Discipline is instructions for the agent only.
Does Trading Discipline access the network?
SKILL.md contains no URLs. Any network use would come from the scripts or tools the agent runs. This is read from the text; nothing was executed.
Is Trading Discipline safe to install?
Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. Review the folder before installing.
What licence does Trading Discipline use?
Trading Discipline has a licence file (the repository's licence) that doesn't match a standard licence. Read it on GitHub before reusing the skill.
How many tokens does Trading Discipline use?
About 2.7k tokens (SKILL.md is roughly 11k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full. Its references folder adds about 2.6k tokens, read only when the agent opens those files.
What are the alternatives to Trading Discipline?
Skills that share tags, products or a category with Trading Discipline: Longbridge Market Data (helsome/folio, 271 stars), Longbridge Technical (helsome/folio, 271 stars), Longbridge Quant (sickn33/agentic-awesome-skills, 47k stars) and Longbridge Market Data (sickn33/agentic-awesome-skills, 47k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
Who maintains Trading Discipline?
kansoku-trade (a GitHub organization) maintains it in kansoku-trade/kansoku, which has 328 GitHub stars. The repository holds 13 skills in this directory. The repository was last updated on September 26, 2026.
Source: kansoku-trade/kansoku on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.