Trading Ledger
sickn33/agentic-awesome-skills
A trading journal that captures the decision, not just the fill: thesis, plan, and emotion at the moment of entry, written to the user's own Notion database; reviews grade decisions, not P&L.
制定每周交易计划：把本周复盘、统一台账持仓与资金、市场消息与公告、facts/ 与知识库、假设档案（hypothesistracking / 持仓 thesis / 宏观管道状态）合成一份下周计划，逐条过六道闸门并给出双向预案与失效条件。当用户要求「制定本周/下周交易计划」「周度作战计划」「把复盘＋持仓＋消息＋知识库合成计划」，或周末例行生成计划时调用。
Install Weekly Trading Plan
$ npx skills add zhu1090093659/dsh-trading --skill weekly-trading-plan -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install zhu1090093659/dsh-trading weekly-trading-plan --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/zhu1090093659/dsh-trading.git skills-src && mkdir -p .claude/skills && cp -r skills-src/.agents/skills/weekly-trading-plan .claude/skills/weekly-trading-plan && 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 "weekly-trading-plan" agent skill from https://github.com/zhu1090093659/dsh-trading/tree/main/.agents/skills/weekly-trading-plan into .claude/skills/weekly-trading-plan/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "weekly-trading-plan", 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/zhu1090093659/dsh-trading/tree/main/.agents/skills/weekly-trading-planType 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 zhu1090093659/dsh-trading --skill weekly-trading-plan -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install zhu1090093659/dsh-trading weekly-trading-plan --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/zhu1090093659/dsh-trading.git skills-src && mkdir -p .agents/skills && cp -r skills-src/.agents/skills/weekly-trading-plan .agents/skills/weekly-trading-plan && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "weekly-trading-plan" agent skill from https://github.com/zhu1090093659/dsh-trading/tree/main/.agents/skills/weekly-trading-plan into .agents/skills/weekly-trading-plan/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "weekly-trading-plan", 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 zhu1090093659/dsh-trading --skill weekly-trading-plan -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install zhu1090093659/dsh-trading weekly-trading-plan --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/zhu1090093659/dsh-trading.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/.agents/skills/weekly-trading-plan .cursor/skills/weekly-trading-plan && 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 "weekly-trading-plan" agent skill from https://github.com/zhu1090093659/dsh-trading/tree/main/.agents/skills/weekly-trading-plan into .cursor/skills/weekly-trading-plan/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "weekly-trading-plan", 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/zhu1090093659/dsh-trading.git --path .agents/skills/weekly-trading-plan--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 zhu1090093659/dsh-trading --skill weekly-trading-plan -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install zhu1090093659/dsh-trading weekly-trading-plan --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/zhu1090093659/dsh-trading.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/.agents/skills/weekly-trading-plan .gemini/skills/weekly-trading-plan && 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 "weekly-trading-plan" agent skill from https://github.com/zhu1090093659/dsh-trading/tree/main/.agents/skills/weekly-trading-plan into .gemini/skills/weekly-trading-plan/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "weekly-trading-plan", 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 zhu1090093659/dsh-trading weekly-trading-planInstalls 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 zhu1090093659/dsh-trading --skill weekly-trading-plan -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/zhu1090093659/dsh-trading.git skills-src && mkdir -p .github/skills && cp -r skills-src/.agents/skills/weekly-trading-plan .github/skills/weekly-trading-plan && 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 "weekly-trading-plan" agent skill from https://github.com/zhu1090093659/dsh-trading/tree/main/.agents/skills/weekly-trading-plan into .github/skills/weekly-trading-plan/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "weekly-trading-plan", 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 zhu1090093659/dsh-trading --skill weekly-trading-plan -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install zhu1090093659/dsh-trading weekly-trading-plan --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/zhu1090093659/dsh-trading.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/.agents/skills/weekly-trading-plan .opencode/skills/weekly-trading-plan && 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 "weekly-trading-plan" agent skill from https://github.com/zhu1090093659/dsh-trading/tree/main/.agents/skills/weekly-trading-plan into .opencode/skills/weekly-trading-plan/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "weekly-trading-plan", 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
weekly-trading-plan- GitHub stars
- 238
- Token cost
- ~2k tokens
- SKILL.md length
- 467 words
- Files
- 2 (incl. scripts)
- Skills in repo
- 11
- Repo updated
- First seen
- Licence
- Custom licence
At a glance
制定每周交易计划：把本周复盘、统一台账持仓与资金、市场消息与公告、facts/ 与知识库、假设档案（hypothesistracking / 持仓 thesis / 宏观管道状态）合成一份下周计划，逐条过六道闸门并给出双向预案与失效条件。当用户要求「制定本周/下周交易计划」「周度作战计划」「把复盘＋持仓＋消息＋知识库合成计划」，或周末例行生成计划时调用。
- Works in 8 steps: 何时用 / 何时不用 → 交易模式 × 交易策略 × KDAS（计划的骨架） → 输入事实源（先取证，再计划） → …
- Tasks that involve Trading and backtesting
- SKILL.md covers 1. 何时用 / 何时不用, 2. 交易模式 × 交易策略 × KDAS（计划的骨架）, 3. 输入事实源（先取证，再计划） and 4. 标准流程（S1–S7）, plus 4 more sections
- Runs Python scripts from its folder; calls python3
What it does
Weekly Trading Plan is an agent skill from zhu1090093659/dsh-trading. 制定每周交易计划：把本周复盘、统一台账持仓与资金、市场消息与公告、facts/ 与知识库、假设档案（hypothesistracking / 持仓 thesis / 宏观管道状态）合成一份下周计划，逐条过六道闸门并给出双向预案与失效条件。当用户要求「制定本周/下周交易计划」「周度作战计划」「把复盘＋持仓＋消息＋知识库合成计划」，或周末例行生成计划时调用。
Its SKILL.md is about 2k tokens, which your agent loads only when the skill is triggered. The skill folder holds 2 other files, including scripts (for example `scripts/kdas.py`).
It sits in Business, Finance & HR, covering Trading and backtesting and Essays and academic help. The repository describes itself as: Agent-native trading terminal built on DeepSeek Harness. Crypto, US, CN and HK in one three-column GUI, 19+ hot-swappable connectors, dry-run by default with human approval on…
When your agent uses it
- Tasks that involve Trading and backtesting
- Tasks that involve Essays and academic help
Example prompts
- “/weekly-trading-plan”
Requirements
- Python 3
Workflow steps
8 steps, taken from the step headings in SKILL.md.
- 何时用 / 何时不用
- 交易模式 × 交易策略 × KDAS（计划的骨架）
- 输入事实源（先取证，再计划）
- 标准流程（S1–S7）
- 输出契约
- 红线（与项目级规则一致）
- 复盘缺失时的降级路径
- 时效与修订
What it can do on your machine
Read from SKILL.md and the folder at commit daa5b45. 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
Ships 1 file in scripts/ (Python), which the agent can run.
Shell commands in SKILL.md call:
python3
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
Weekly Trading Plan loads about 2k tokens when it runs. Until then it costs about 50 tokens; SKILL.md has 467 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); the scripts in this folder 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 467 words (~2,035 tokens).
“把「消息面 + 台账持仓 + 知识库 + 本周复盘」合成一份下周可执行的双向预案，而不是行情预测。计划的价值在纪律：每条意向都写清为什么做、期待看到什么、什么事实出现就认错、错了第一步做什么。”
- name
- weekly-trading-plan
Files
SKILL.md and 1 other file (scripts) in .agents/skills/weekly-trading-plan of zhu1090093659/dsh-trading.
- SKILL.md
- scripts/kdas.py
Open the folder on GitHubat commit daa5b45
Compare with similar skills
Weekly Trading Plan 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 |
|---|---|---|---|---|---|---|
| Weekly Trading Plan this skillzhu1090093659/dsh-trading | 238 | — | ~2k | Automated safety check: Pass | Custom licence | |
| Trading Ledgersickn33/agentic-awesome-skills | 47k | 1 repos | ~2.2k | Automated safety check: Pass | MIT | |
| Prediction Market Strategyagiprolabs/claude-trading-skills | 410 | — | ~3.4k | Automated safety check: Pass | MIT | |
| Catalyst ConfirmationSuperior-Trade/superior-skills | 215 | — | ~667 | Automated safety check: Pass | MIT | |
| Academy Skillbinance/binance-skills-hub | 1.1k | — | ~3.5k | Automated safety check: Notes | None | |
| Equity Research Corebyteseek/Mira | 275 | — | ~1.9k | Automated safety check: Pass | Apache-2.0 |
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Questions about Weekly Trading Plan
What does Weekly Trading Plan do?
制定每周交易计划：把本周复盘、统一台账持仓与资金、市场消息与公告、facts/ 与知识库、假设档案（hypothesistracking / 持仓 thesis / 宏观管道状态）合成一份下周计划，逐条过六道闸门并给出双向预案与失效条件。当用户要求「制定本周/下周交易计划」「周度作战计划」「把复盘＋持仓＋消息＋知识库合成计划」，或周末例行生成计划时调用。. Weekly Trading Plan is an agent skill from zhu1090093659/dsh-trading.
When should I use Weekly Trading Plan?
Weekly Trading Plan fits situations like: tasks that involve Trading and backtesting; tasks that involve Essays and academic help.
How do I install Weekly Trading Plan in Claude Code?
Run `npx skills add zhu1090093659/dsh-trading --skill weekly-trading-plan -a claude-code`. Or copy the skill folder (.agents/skills/weekly-trading-plan in zhu1090093659/dsh-trading) into .claude/skills/weekly-trading-plan in your project. Claude Code loads it when a task matches its description.
How do I install Weekly Trading Plan in Codex?
Run `npx skills add zhu1090093659/dsh-trading --skill weekly-trading-plan -a codex`. Or copy the skill folder (.agents/skills/weekly-trading-plan in zhu1090093659/dsh-trading) into .agents/skills/weekly-trading-plan in your project. Codex loads it when a task matches its description.
Can I use Weekly Trading Plan 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 zhu1090093659/dsh-trading --skill weekly-trading-plan -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/weekly-trading-plan, .gemini/skills/weekly-trading-plan, .github/skills/weekly-trading-plan and .opencode/skills/weekly-trading-plan in your project.
What does Weekly Trading Plan need to run?
Going by SKILL.md and its folder, Weekly Trading Plan needs Python for the scripts in its folder and the command-line tools its instructions call (python3). Our summary lists: Python 3.
Does Weekly Trading Plan 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 Weekly Trading Plan 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. The check reads SKILL.md only: the scripts in the folder are not scanned, so read them before running anything.
What licence does Weekly Trading Plan use?
Weekly Trading Plan 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 Weekly Trading Plan use?
About 2k tokens (SKILL.md is roughly 8.1k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.
What are the alternatives to Weekly Trading Plan?
Skills that share tags, products or a category with Weekly Trading Plan: Trading Ledger (sickn33/agentic-awesome-skills, 47k stars), Prediction Market Strategy (agiprolabs/claude-trading-skills, 410 stars), Catalyst Confirmation (Superior-Trade/superior-skills, 215 stars) and Academy Skill (binance/binance-skills-hub, 1.1k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
Who maintains Weekly Trading Plan?
zhu1090093659 (a GitHub user) maintains it in zhu1090093659/dsh-trading, which has 238 GitHub stars. The repository holds 11 skills in this directory. The repository was last updated on October 11, 2026.
Source: zhu1090093659/dsh-trading on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.