Stock API
zhangxiangliang/stock-api
Fetch real-time stock quotes, K-line (candlestick) history, and search symbols for China A-shares, Hong Kong, and US markets.
Router skill for LLMQuant credit workflows. An agent skill from LLMQuant/skills.
$ npx skills add LLMQuant/skills --skill llmquant-credit -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install LLMQuant/skills llmquant-credit --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/LLMQuant/skills.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/llmquant-credit .claude/skills/llmquant-credit && 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 "llmquant-credit" agent skill from https://github.com/LLMQuant/skills/tree/master/skills/llmquant-credit into .claude/skills/llmquant-credit/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "llmquant-credit", 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/LLMQuant/skills/tree/master/skills/llmquant-creditType 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 LLMQuant/skills --skill llmquant-credit -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install LLMQuant/skills llmquant-credit --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/LLMQuant/skills.git skills-src && mkdir -p .agents/skills && cp -r skills-src/skills/llmquant-credit .agents/skills/llmquant-credit && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "llmquant-credit" agent skill from https://github.com/LLMQuant/skills/tree/master/skills/llmquant-credit into .agents/skills/llmquant-credit/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "llmquant-credit", 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 LLMQuant/skills --skill llmquant-credit -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install LLMQuant/skills llmquant-credit --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/LLMQuant/skills.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/skills/llmquant-credit .cursor/skills/llmquant-credit && 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 "llmquant-credit" agent skill from https://github.com/LLMQuant/skills/tree/master/skills/llmquant-credit into .cursor/skills/llmquant-credit/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "llmquant-credit", 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/LLMQuant/skills.git --path skills/llmquant-credit--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 LLMQuant/skills --skill llmquant-credit -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install LLMQuant/skills llmquant-credit --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/LLMQuant/skills.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/skills/llmquant-credit .gemini/skills/llmquant-credit && 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 "llmquant-credit" agent skill from https://github.com/LLMQuant/skills/tree/master/skills/llmquant-credit into .gemini/skills/llmquant-credit/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "llmquant-credit", 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 LLMQuant/skills llmquant-creditInstalls 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 LLMQuant/skills --skill llmquant-credit -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/LLMQuant/skills.git skills-src && mkdir -p .github/skills && cp -r skills-src/skills/llmquant-credit .github/skills/llmquant-credit && 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 "llmquant-credit" agent skill from https://github.com/LLMQuant/skills/tree/master/skills/llmquant-credit into .github/skills/llmquant-credit/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "llmquant-credit", 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 LLMQuant/skills --skill llmquant-credit -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install LLMQuant/skills llmquant-credit --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/LLMQuant/skills.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/skills/llmquant-credit .opencode/skills/llmquant-credit && 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 "llmquant-credit" agent skill from https://github.com/LLMQuant/skills/tree/master/skills/llmquant-credit into .opencode/skills/llmquant-credit/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "llmquant-credit", 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.
llmquant-creditRouter skill for LLMQuant credit workflows. An agent skill from LLMQuant/skills.
Llmquant Credit is an agent skill from LLMQuant/skills. Router skill for LLMQuant credit workflows. Use when the user needs issuer credit review, spread regime analysis, high-yield stress monitoring, default risk, debt maturity, or covenant context.
Its SKILL.md is about 550 tokens, which your agent loads only when the skill is triggered. The skill folder holds 8 other files, including scripts and assets (for example `workflows/credit-spread-regime.md`, `workflows/high-yield-stress-monitor.md` and `workflows/issuer-credit-risk-review.md`).
It sits in Business, Finance & HR, covering Stock and market analysis. The repository describes itself as: Reusable Skills for LLMQuant Agent, Claude Code, Claude.ai, Cursor, Hermes Agent, OpenClaw and Codex, grounded in LLMQuant Data. The licence is MIT.
5 steps, taken from the first numbered list in SKILL.md.
Read from SKILL.md and the folder at commit 1918237. 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 1 file in scripts/, which the agent can run.
From 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 no API keys, tokens, secrets or passwords.
From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.
Llmquant Credit loads about 548 tokens when it runs. Until then it costs about 52 tokens; SKILL.md has 220 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 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.
The full file from LLMQuant/skills at commit 1918237, republished under its MIT licence (© LLMQuant). 220 words, ~548 tokens.
.claude/skills/llmquant-credit/SKILL.md (or your agent's skills folder). This skill also uses 5 other files; get the full folder from GitHub.This category routes credit research workflows for issuer risk, spread regimes, and high-yield stress.
| User intent | Workflow |
|---|---|
| Review an issuer's balance-sheet, cash-flow, maturity, and covenant credit risk. | workflows/issuer-credit-risk-review.md |
| Diagnose credit-spread regime, risk appetite, and sector pressure. | workflows/credit-spread-regime.md |
| Monitor high-yield stress, refinancing risk, fallen angels, and default pressure. | workflows/high-yield-stress-monitor.md |
Prefer LLMQuant Data when available. The workflows may need these data capabilities:
Fallback:
© LLMQuant, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file
SKILL.md and 5 other files (scripts, assets) in skills/llmquant-credit of LLMQuant/skills.
Open the folder on GitHubat commit 1918237
Llmquant Credit 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 |
|---|---|---|---|---|---|---|
| Llmquant Credit this skillLLMQuant/skills | 229 | — | ~548 | Automated safety check: Pass | MIT | |
| Stock APIzhangxiangliang/stock-api | 2k | — | ~507 | Automated safety check: Pass | MIT | |
| Tushare Datazillionare/zillionare | 319 | 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 | 870 | — | ~5.9k | Automated safety check: Pass | MIT | |
| Longbridge Researchhelsome/folio | 269 | 3 repos | ~2.1k | Automated safety check: Pass | MIT |
zhangxiangliang/stock-api
Fetch real-time stock quotes, K-line (candlestick) history, and search symbols for China A-shares, Hong Kong, and US markets.
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.
helsome/folio
Institution ratings, consensus price targets, EPS/revenue forecasts, finance calendar, shareholder data, fund holders, insider trades (SEC Form 4), short interest, industry rankings, peer group…
helsome/folio
Earnings analysis — pre- and post-earnings. An agent skill from helsome/folio.
LLMQuant/skills
Router skill for LLMQuant Data primitive workflows. An agent skill from LLMQuant/skills.
LLMQuant/skills
Router skill for LLMQuant equities workflows. An agent skill from LLMQuant/skills.
LLMQuant/skills
Router skill for LLMQuant equity derivatives workflows. An agent skill from LLMQuant/skills.
LLMQuant/skills
Router skill for LLMQuant investor-lens workflows. An agent skill from LLMQuant/skills.
LLMQuant/skills
Router skill for LLMQuant macro workflows. An agent skill from LLMQuant/skills.
LLMQuant/skills
Router skill for LLMQuant market-intelligence workflows. An agent skill from LLMQuant/skills.
Categories
Router skill for LLMQuant credit workflows. An agent skill from LLMQuant/skills. Llmquant Credit is an agent skill from LLMQuant/skills. Router skill for LLMQuant credit workflows.
Llmquant Credit fits situations like: the user needs issuer credit review; spread regime analysis; high-yield stress monitoring; covenant context.
Run `npx skills add LLMQuant/skills --skill llmquant-credit -a claude-code`. Or copy the skill folder (skills/llmquant-credit in LLMQuant/skills) into .claude/skills/llmquant-credit in your project. Claude Code loads it when a task matches its description.
Run `npx skills add LLMQuant/skills --skill llmquant-credit -a codex`. Or copy the skill folder (skills/llmquant-credit in LLMQuant/skills) into .agents/skills/llmquant-credit 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 LLMQuant/skills --skill llmquant-credit -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/llmquant-credit, .gemini/skills/llmquant-credit, .github/skills/llmquant-credit and .opencode/skills/llmquant-credit in your project.
SKILL.md names no scripts, command-line tools or credentials: Llmquant Credit is instructions for the agent only.
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 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.
Llmquant Credit is published under the MIT licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.
About 548 tokens (SKILL.md is roughly 2.2k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.
Skills that share tags, products or a category with Llmquant Credit: Stock API (zhangxiangliang/stock-api, 2k stars), Tushare Data (zillionare/zillionare, 319 stars), Tradingview MCP (atilaahmettaner/tradingview-mcp, 5k stars) and Digital Oracle (komako-workshop/digital-oracle, 870 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
LLMQuant (a GitHub organization) maintains it in LLMQuant/skills, which has 229 GitHub stars. The repository holds 18 skills in this directory. The repository was last updated on May 30, 2026.
Source: LLMQuant/skills on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.