Tushare Data
zillionare/zillionare
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。
Explains profit and loss composition and attribution for paper accounts using engine-calculated breakdowns
Install Pnl Explain
$ npx skills add YicunAI/Pnlclaw-community --skill pnl-explain -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install YicunAI/Pnlclaw-community pnl-explain --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/YicunAI/Pnlclaw-community.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/pnl-explain .claude/skills/pnl-explain && 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 "pnl-explain" agent skill from https://github.com/YicunAI/Pnlclaw-community/tree/main/skills/pnl-explain into .claude/skills/pnl-explain/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "pnl-explain", 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/YicunAI/Pnlclaw-community/tree/main/skills/pnl-explainType 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 YicunAI/Pnlclaw-community --skill pnl-explain -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install YicunAI/Pnlclaw-community pnl-explain --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/YicunAI/Pnlclaw-community.git skills-src && mkdir -p .agents/skills && cp -r skills-src/skills/pnl-explain .agents/skills/pnl-explain && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "pnl-explain" agent skill from https://github.com/YicunAI/Pnlclaw-community/tree/main/skills/pnl-explain into .agents/skills/pnl-explain/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "pnl-explain", 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 YicunAI/Pnlclaw-community --skill pnl-explain -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install YicunAI/Pnlclaw-community pnl-explain --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/YicunAI/Pnlclaw-community.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/skills/pnl-explain .cursor/skills/pnl-explain && 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 "pnl-explain" agent skill from https://github.com/YicunAI/Pnlclaw-community/tree/main/skills/pnl-explain into .cursor/skills/pnl-explain/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "pnl-explain", 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/YicunAI/Pnlclaw-community.git --path skills/pnl-explain--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 YicunAI/Pnlclaw-community --skill pnl-explain -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install YicunAI/Pnlclaw-community pnl-explain --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/YicunAI/Pnlclaw-community.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/skills/pnl-explain .gemini/skills/pnl-explain && 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 "pnl-explain" agent skill from https://github.com/YicunAI/Pnlclaw-community/tree/main/skills/pnl-explain into .gemini/skills/pnl-explain/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "pnl-explain", 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 YicunAI/Pnlclaw-community pnl-explainInstalls 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 YicunAI/Pnlclaw-community --skill pnl-explain -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/YicunAI/Pnlclaw-community.git skills-src && mkdir -p .github/skills && cp -r skills-src/skills/pnl-explain .github/skills/pnl-explain && 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 "pnl-explain" agent skill from https://github.com/YicunAI/Pnlclaw-community/tree/main/skills/pnl-explain into .github/skills/pnl-explain/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "pnl-explain", 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 YicunAI/Pnlclaw-community --skill pnl-explain -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install YicunAI/Pnlclaw-community pnl-explain --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/YicunAI/Pnlclaw-community.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/skills/pnl-explain .opencode/skills/pnl-explain && 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 "pnl-explain" agent skill from https://github.com/YicunAI/Pnlclaw-community/tree/main/skills/pnl-explain into .opencode/skills/pnl-explain/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "pnl-explain", 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
pnl-explain- GitHub stars
- 197
- Token cost
- ~339 tokens
- SKILL.md length
- 143 words
- Files
- 1
- Skills in repo
- 8
- Repo updated
- First seen
- Licence
- AGPL-3.0
At a glance
Explains profit and loss composition and attribution for paper accounts using engine-calculated breakdowns
- Works in 4 steps: Obtain the paper account_id (and… → Call paper_pnl for aggregate and… → Call explain_pnl for realized vs… → …
- Tasks that involve Trading and backtesting
- SKILL.md covers Description, Triggers, Steps and Tools Used, plus 2 more sections
- Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md
What it does
Pnl Explain is an agent skill from YicunAI/Pnlclaw-community. Explains profit and loss composition and attribution for paper accounts using engine-calculated breakdowns
Its SKILL.md is about 340 tokens, which your agent loads only when the skill is triggered. It is a single SKILL.md file with no bundled scripts.
It sits in Business, Finance & HR, covering Trading and backtesting. The repository describes itself as: PnLClaw — local-first crypto and prediction market quant engine. The licence is AGPL-3.0.
When your agent uses it
- Tasks that involve Trading and backtesting
Example prompts
- “Use the pnl-explain skill to explain profit and loss composition and attribution for paper accounts using engine-calculated breakdowns”
- “/pnl-explain”
Workflow steps
4 steps, taken from the first numbered list in SKILL.md.
- Obtain the paper account_id (and optional symbol filter).
- Call paper_pnl for aggregate and per-symbol PnL figures where available.
- Call explain_pnl for realized vs unrealized decomposition and narrative detail.
- Tie changes to positions, fees, and marks—clearly labeling estimates when prices are stale.
What it can do on your machine
Read from SKILL.md and the folder at commit 933014f. 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
Pnl Explain loads about 339 tokens when it runs. Until then it costs about 30 tokens; SKILL.md has 143 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
The full file from YicunAI/Pnlclaw-community at commit 933014f, republished under its AGPL-3.0 licence (© YicunAI). 143 words, ~339 tokens.
Download SKILL.mdSave it as
.claude/skills/pnl-explain/SKILL.md (or your agent's skills folder).- name
- pnl-explain
- description
- Explains profit and loss composition and attribution for paper accounts using engine-calculated breakdowns
- version
- 0.1.0
- tags
- pnl, explanation, paper-trading
- user_invocable
- true
- model_invocable
- true
- requires_tools
- explain_pnl, paper_pnl
PnL Explanation
Description
Explains profit and loss composition and attribution for paper accounts using engine-calculated breakdowns.
Triggers
- "Why is my PnL down this week?"
- "Break down my paper account PnL"
Steps
- Obtain the paper
account_id(and optional symbol filter). - Call
paper_pnlfor aggregate and per-symbol PnL figures where available. - Call
explain_pnlfor realized vs unrealized decomposition and narrative detail. - Tie changes to positions, fees, and marks—clearly labeling estimates when prices are stale.
Tools Used
explain_pnl: Decompose realized and unrealized PnL with per-position context.paper_pnl: Query paper account-level PnL summaries for quick numeric grounding.
Example Interaction
User: Explain my PnL on account paper-123.
Agent: I will call paper_pnl for the headline numbers, then explain_pnl with account_id paper-123 to break down realized vs unrealized drivers.
Notes
- Attribution is based on simulated/paper state; live trading may differ due to fills and fees.
© YicunAI, AGPL-3.0. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file
Files
Just SKILL.md in skills/pnl-explain of YicunAI/Pnlclaw-community.
Open the folder on GitHubat commit 933014f
Compare with similar skills
Pnl Explain 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 |
|---|---|---|---|---|---|---|
| Pnl Explain this skillYicunAI/Pnlclaw-community | 197 | — | ~339 | Automated safety check: Pass | AGPL-3.0 | |
| Tushare Datazillionare/zillionare | 321 | 2 repos | ~2.3k | Automated safety check: Pass | None | |
| Tradingview MCPatilaahmettaner/tradingview-mcp | 5k | — | ~1.3k | Automated safety check: Pass | MIT | |
| Digital Oraclekomako-workshop/digital-oracle | 875 | — | ~5.9k | Automated safety check: Pass | MIT | |
| Polyclawchainstacklabs/polyclaw | 359 | 1 repos | ~2k | Automated safety check: Pass | Apache-2.0 | |
| Markdownfacioquo/stock-indicators-dotnet | 1.2k | — | ~812 | Automated safety check: Pass | Apache-2.0 |
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Categories
Questions about Pnl Explain
What does Pnl Explain do?
Explains profit and loss composition and attribution for paper accounts using engine-calculated breakdowns. Pnl Explain is an agent skill from YicunAI/Pnlclaw-community.
When should I use Pnl Explain?
Pnl Explain fits situations like: tasks that involve Trading and backtesting.
How do I install Pnl Explain in Claude Code?
Run `npx skills add YicunAI/Pnlclaw-community --skill pnl-explain -a claude-code`. Or copy the skill folder (skills/pnl-explain in YicunAI/Pnlclaw-community) into .claude/skills/pnl-explain in your project. Claude Code loads it when a task matches its description.
How do I install Pnl Explain in Codex?
Run `npx skills add YicunAI/Pnlclaw-community --skill pnl-explain -a codex`. Or copy the skill folder (skills/pnl-explain in YicunAI/Pnlclaw-community) into .agents/skills/pnl-explain in your project. Codex loads it when a task matches its description.
Can I use Pnl Explain 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 YicunAI/Pnlclaw-community --skill pnl-explain -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/pnl-explain, .gemini/skills/pnl-explain, .github/skills/pnl-explain and .opencode/skills/pnl-explain in your project.
What does Pnl Explain need to run?
SKILL.md names no scripts, command-line tools or credentials: Pnl Explain is instructions for the agent only.
Does Pnl Explain 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 Pnl Explain 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 Pnl Explain use?
Pnl Explain is published under the AGPL-3.0 licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.
How many tokens does Pnl Explain use?
About 339 tokens (SKILL.md is roughly 1.4k 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 Pnl Explain?
Skills that share tags, products or a category with Pnl Explain: Tushare Data (zillionare/zillionare, 321 stars), Tradingview MCP (atilaahmettaner/tradingview-mcp, 5k stars), Digital Oracle (komako-workshop/digital-oracle, 875 stars) and Polyclaw (chainstacklabs/polyclaw, 359 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
Who maintains Pnl Explain?
YicunAI (a GitHub user) maintains it in YicunAI/Pnlclaw-community, which has 197 GitHub stars. The repository holds 8 skills in this directory. The repository was last updated on April 8, 2026.
Source: YicunAI/Pnlclaw-community on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.