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。
Evaluate US stocks under an Alpaca trend and relative-strength framework, and prioritize defined-risk net-credit income spreads: Bull Put/Bear Call first, Iron Condor second.
$ npx skills add starriv/worth-buy-stocks --skill worth-buy-stocks -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install starriv/worth-buy-stocks worth-buy-stocks --agent claude-codeProject scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).
Claude Code skills documentation · loads skills from .claude/skills/
Install the "worth-buy-stocks" agent skill from https://github.com/starriv/worth-buy-stocks/tree/main into .claude/skills/worth-buy-stocks/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "worth-buy-stocks", 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.
$ npx skills add starriv/worth-buy-stocks --skill worth-buy-stocks -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install starriv/worth-buy-stocks worth-buy-stocks --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "worth-buy-stocks" agent skill from https://github.com/starriv/worth-buy-stocks/tree/main into .agents/skills/worth-buy-stocks/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "worth-buy-stocks", 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 starriv/worth-buy-stocks --skill worth-buy-stocks -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install starriv/worth-buy-stocks worth-buy-stocks --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
Cursor skills documentation · loads skills from .cursor/skills/, .agents/skills/, .claude/skills/, .codex/skills/
Install the "worth-buy-stocks" agent skill from https://github.com/starriv/worth-buy-stocks/tree/main into .cursor/skills/worth-buy-stocks/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "worth-buy-stocks", 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.
$ npx skills add starriv/worth-buy-stocks --skill worth-buy-stocks -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install starriv/worth-buy-stocks worth-buy-stocks --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
Gemini CLI skills documentation · loads skills from .gemini/skills/, .agents/skills/
Install the "worth-buy-stocks" agent skill from https://github.com/starriv/worth-buy-stocks/tree/main into .gemini/skills/worth-buy-stocks/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "worth-buy-stocks", 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 starriv/worth-buy-stocks worth-buy-stocksInstalls 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 starriv/worth-buy-stocks --skill worth-buy-stocks -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
GitHub Copilot skills documentation · loads skills from .github/skills/, .claude/skills/, .agents/skills/
Install the "worth-buy-stocks" agent skill from https://github.com/starriv/worth-buy-stocks/tree/main into .github/skills/worth-buy-stocks/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "worth-buy-stocks", 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 starriv/worth-buy-stocks --skill worth-buy-stocks -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install starriv/worth-buy-stocks worth-buy-stocks --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
OpenCode skills documentation · loads skills from .opencode/skills/, .claude/skills/, .agents/skills/
Install the "worth-buy-stocks" agent skill from https://github.com/starriv/worth-buy-stocks/tree/main into .opencode/skills/worth-buy-stocks/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "worth-buy-stocks", 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.
worth-buy-stocksEvaluate US stocks under an Alpaca trend and relative-strength framework, and prioritize defined-risk net-credit income spreads: Bull Put/Bear Call first, Iron Condor second.
Worth Buy Stocks is an agent skill from starriv/worth-buy-stocks. Evaluate US stocks under an Alpaca trend and relative-strength framework, and prioritize defined-risk net-credit income spreads: Bull Put/Bear Call first, Iron Condor second. Debit calendars and high-Gamma Iron Butterflies are explicit-only alternatives. Option scans use underlying price/volume, Bollinger setups and event windows without option-market data; explicit contract analysis uses supplied quotes. Uses caching and backtests. Use for 值得买吗, 股票评分, buy/hold/sell/watchlist, 期权卖方, 卖权利金, BOLL 价差期权, Bull Put…
Its SKILL.md is about 4.5k tokens, which your agent loads only when the skill is triggered. The skill folder holds 152 other files, including scripts and reference files (for example `README.md`, `agents/openai.yaml` and `references/agent-contracts.md`).
It sits in Business, Finance & HR, covering Stock and market analysis, Trading and backtesting and Contract review. It works with Anthropic API.
9 steps, taken from the first numbered list in SKILL.md.
Read from SKILL.md and the folder at commit 757e3e6. It shows what the files ask for, not the result of running them.
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.
Ships 6 files in scripts/ (Python, from the files we listed), which the agent can run.
Shell commands in SKILL.md call:
python3makeFrom the folder's file list and the shell code blocks in SKILL.md.
No URLs in SKILL.md.
From URLs in SKILL.md, links to its own repository left out.
Names these keys or tokens, usually read from environment variables:
ANTHROPIC_API_KEYFINNHUB_API_KEYTELEGRAM_BOT_TOKENFrom names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.
Worth Buy Stocks loads about 4.5k tokens when it runs, and up to ~18k if it reads all its reference files. Until then it costs about 169 tokens; SKILL.md has 1,085 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.
The automated check noted patterns worth knowing about, such as sudo or a known installer.
凭证从本地 `.env` 读取 `TELEGRAM_BOT_TOKEN` / `TELEGRAM_CHAT_ID`(查找顺序:`WORTH_BUY_STOCKS_ENV_FILE` 指定路径 → skill 根目录 `.env` → `~/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.
Without a licence we can't republish the file, so here is its outline and opening line. It has 1,085 words (~4,511 tokens).
SKILL.md and 148 other files (scripts, references) in the repository root of starriv/worth-buy-stocks.
Open the folder on GitHubat commit 757e3e6
Worth Buy Stocks 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 |
|---|---|---|---|---|---|---|
| Worth Buy Stocks this skillstarriv/worth-buy-stocks | 175 | — | ~4.5k | Automated safety check: Notes | None | |
| Tushare Datazillionare/zillionare | 322 | 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 | 878 | — | ~5.9k | Automated safety check: Pass | MIT | |
| Regimejackson-video-resources/markov-hedge-fund-method | 484 | — | ~1.6k | Automated safety check: Pass | Custom licence | |
| Agentic Trading DeskOft3r/agentic-trading-desk | 306 | — | ~5.1k | Automated safety check: Pass | MIT |
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。
atilaahmettaner/tradingview-mcp
AI Trading Intelligence — live prices, 30+ technical indicators, backtesting (6 strategies), walk-forward overfitting detection, trade logs, equity curves, licensed news sentiment (Marketaux), and…
komako-workshop/digital-oracle
Answer prediction questions using market trading data, not opinions.
jackson-video-resources/markov-hedge-fund-method
Detect the market regime (Bull / Bear / Sideways) for ANY asset and turn it into a tradeable signal or a risk filter.
Oft3r/agentic-trading-desk
Personal trading desk for short-term technical analysis on stocks/ETFs via Robinhood MCP.
bitget-wallet-ai-lab/bitget-wallet-skill
Interact with Bitget Wallet API for crypto market data, token info, swap quotes, RWA (real-world asset) stock trading, and security audits.
Works with
Categories
Evaluate US stocks under an Alpaca trend and relative-strength framework, and prioritize defined-risk net-credit income spreads: Bull Put/Bear Call first, Iron Condor second. Worth Buy Stocks is an agent skill from starriv/worth-buy-stocks. Evaluate US stocks under an Alpaca trend and relative-strength framework, and prioritize defined-risk net-credit income spreads: Bull Put/Bear Call first, Iron Condor second.
Worth Buy Stocks fits situations like: buy/hold/sell/watchlist; iron Butterfly/铁蝶; alpaca 行情/持仓/期权链.
Run `npx skills add starriv/worth-buy-stocks --skill worth-buy-stocks -a claude-code`. Or copy the skill folder (the starriv/worth-buy-stocks repository) into .claude/skills/worth-buy-stocks in your project. Claude Code loads it when a task matches its description.
Run `npx skills add starriv/worth-buy-stocks --skill worth-buy-stocks -a codex`. Or copy the skill folder (the starriv/worth-buy-stocks repository) into .agents/skills/worth-buy-stocks in your project. Codex loads it when a task matches its description.
Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add starriv/worth-buy-stocks --skill worth-buy-stocks -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/worth-buy-stocks, .gemini/skills/worth-buy-stocks, .github/skills/worth-buy-stocks and .opencode/skills/worth-buy-stocks in your project.
Going by SKILL.md and its folder, Worth Buy Stocks needs Python for the scripts in its folder, the command-line tools its instructions call (python3 and make) and credentials named ANTHROPIC_API_KEY, FINNHUB_API_KEY and TELEGRAM_BOT_TOKEN. Our summary lists: Python 3; A credential in ANTHROPIC_API_KEY.
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.
Our automated static check of SKILL.md found notes only (mentions a .env file), nothing it rates as a warning. 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.
No licence was found for Worth Buy Stocks or its repository. Without one, default copyright applies: ask the author before reusing or redistributing it.
About 4.5k tokens (SKILL.md is roughly 18k 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 14k tokens, read only when the agent opens those files.
Skills that share tags, products or a category with Worth Buy Stocks: Tushare Data (zillionare/zillionare, 322 stars), Tradingview MCP (atilaahmettaner/tradingview-mcp, 5k stars), Digital Oracle (komako-workshop/digital-oracle, 878 stars) and Regime (jackson-video-resources/markov-hedge-fund-method, 484 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
starriv (a GitHub user) maintains it in starriv/worth-buy-stocks, which has 175 GitHub stars. The repository was last updated on October 2, 2026.
Source: starriv/worth-buy-stocks on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.