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.
Discover listed, pending, filed, or newly announced ETFs and create a structured candidate watchlist for ETF listing analysis.
Install Etf Listing Discovery
$ npx skills add byteseek/Mira --skill etf-listing-discovery -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install byteseek/Mira etf-listing-discovery --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/byteseek/Mira.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/etf-listing-discovery .claude/skills/etf-listing-discovery && 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 "etf-listing-discovery" agent skill from https://github.com/byteseek/Mira/tree/main/skills/etf-listing-discovery into .claude/skills/etf-listing-discovery/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "etf-listing-discovery", 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/byteseek/Mira/tree/main/skills/etf-listing-discoveryType 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 byteseek/Mira --skill etf-listing-discovery -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install byteseek/Mira etf-listing-discovery --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/byteseek/Mira.git skills-src && mkdir -p .agents/skills && cp -r skills-src/skills/etf-listing-discovery .agents/skills/etf-listing-discovery && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "etf-listing-discovery" agent skill from https://github.com/byteseek/Mira/tree/main/skills/etf-listing-discovery into .agents/skills/etf-listing-discovery/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "etf-listing-discovery", 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 byteseek/Mira --skill etf-listing-discovery -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install byteseek/Mira etf-listing-discovery --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/byteseek/Mira.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/skills/etf-listing-discovery .cursor/skills/etf-listing-discovery && 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 "etf-listing-discovery" agent skill from https://github.com/byteseek/Mira/tree/main/skills/etf-listing-discovery into .cursor/skills/etf-listing-discovery/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "etf-listing-discovery", 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/byteseek/Mira.git --path skills/etf-listing-discovery--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 byteseek/Mira --skill etf-listing-discovery -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install byteseek/Mira etf-listing-discovery --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/byteseek/Mira.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/skills/etf-listing-discovery .gemini/skills/etf-listing-discovery && 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 "etf-listing-discovery" agent skill from https://github.com/byteseek/Mira/tree/main/skills/etf-listing-discovery into .gemini/skills/etf-listing-discovery/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "etf-listing-discovery", 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 byteseek/Mira etf-listing-discoveryInstalls 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 byteseek/Mira --skill etf-listing-discovery -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/byteseek/Mira.git skills-src && mkdir -p .github/skills && cp -r skills-src/skills/etf-listing-discovery .github/skills/etf-listing-discovery && 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 "etf-listing-discovery" agent skill from https://github.com/byteseek/Mira/tree/main/skills/etf-listing-discovery into .github/skills/etf-listing-discovery/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "etf-listing-discovery", 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 byteseek/Mira --skill etf-listing-discovery -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install byteseek/Mira etf-listing-discovery --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/byteseek/Mira.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/skills/etf-listing-discovery .opencode/skills/etf-listing-discovery && 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 "etf-listing-discovery" agent skill from https://github.com/byteseek/Mira/tree/main/skills/etf-listing-discovery into .opencode/skills/etf-listing-discovery/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "etf-listing-discovery", 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
etf-listing-discovery- GitHub stars
- 275
- Token cost
- ~887 tokens
- SKILL.md length
- 303 words
- Files
- 1
- Skills in repo
- 10
- Repo updated
- First seen
- Licence
- Apache-2.0
At a glance
Discover listed, pending, filed, or newly announced ETFs and create a structured candidate watchlist for ETF listing analysis.
- Works in 6 steps: Define Search Scope → Search Source Buckets → Normalize Candidate Records → …
- Tasks that involve Stock and market analysis
- SKILL.md covers Use When, Required Inputs, Source Priority and Discovery Workflow, plus 4 more sections
- Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md
What it does
Etf Listing Discovery is an agent skill from byteseek/Mira. Discover listed, pending, filed, or newly announced ETFs and create a structured candidate watchlist for ETF listing analysis.
Its SKILL.md is about 890 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 Stock and market analysis. The repository describes itself as: Agent-native investment research workspace for evidence-tracked, refreshable investment theses across equities, earnings, macro, and portfolio review. The licence is Apache-2.0.
When your agent uses it
- Tasks that involve Stock and market analysis
Example prompts
- “/etf-listing-discovery”
Workflow steps
6 steps, taken from the step headings in SKILL.md.
What it can do on your machine
Read from SKILL.md and the folder at commit adddce7. 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
Etf Listing Discovery loads about 887 tokens when it runs. Until then it costs about 37 tokens; SKILL.md has 303 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 byteseek/Mira at commit adddce7, republished under its Apache-2.0 licence (© byteseek). 303 words, ~887 tokens.
Download SKILL.mdSave it as
.claude/skills/etf-listing-discovery/SKILL.md (or your agent's skills folder).- name
- etf-listing-discovery
- description
- Discover listed, pending, filed, or newly announced ETFs and create a structured candidate watchlist for ETF listing analysis.
ETF Listing Discovery Skill
这个 skill 用于查找新上市、即将上市、已提交申请或刚被媒体/发行人宣布的 ETF/ETP。
它是 etf-listing-analysis 的前置发现层：
ETF listing discovery -> new-etf-watchlist -> ETF listing analysis它不负责深度判断 ETF 是否值得买入，只负责把候选产品找出来、去重、补齐关键字段、排序，并决定哪些进入 etf-listing-analysis。
Use When
- 用户要求查找最近新上市 ETF
- 用户要求监控新 ETF、ETF 申请、ETF launch、ETF issuer 新产品
- 用户想从 ETF 新发中发现市场偏好、配置方向、主题热度或结构变化
- 用户给出一个主题，要求找相关新 ETF 或申请中的 ETF
etf-listing-analysis缺少输入，需要先发现候选产品
Required Inputs
- market_scope 例如 US、global、HK、CN、EU
- discovery_window 例如 last 7 days、last 30 days、YTD、since date
- discovery_mode 例如 listed、upcoming、filed、announced、all
- theme_filter 可选，例如 crypto、AI、covered call、single-stock、duration、China、commodity
- output_limit 默认先保留前 20 个候选
- research_cutoff_date
Source Priority
优先级从高到低：
exchange notices交易所新上市/新发行通知，确认 ticker、上市日期、交易所。issuer launch pages发行人产品页、新闻稿、招募说明书，确认策略、费用、持仓、指数。regulatory filingsSEC/监管文件，确认申请、修订、规则和基金注册信息。ETF industry mediaETF.com、ETF Trends、VettaFi、Bloomberg/Reuters 等，用于发现线索和语境。market dataAUM、成交、价差、首日交易数据，用于初步排序，不替代上市确认。
Discovery Workflow
1. Define Search Scope
先明确：
- 市场：US / global / local market
- 时间窗口：上市日、公告日、申请日，不能混用
- 状态：已上市、即将上市、已申请、传闻/媒体报道
- 产品范围：ETF only，还是包含 ETN、ETC、ETP、closed-end fund
2. Search Source Buckets
至少覆盖三类来源：
- 交易所或监管来源
- 发行人或指数提供商来源
- ETF 行业媒体或市场数据来源
如果只找到媒体文章，必须标记为 needs_primary_confirmation。
3. Normalize Candidate Records
每个候选至少补齐：
- ticker
- ETF name
- issuer
- exchange
- listing_status
- listing_date 或 filing_date
- product_type
- underlying_exposure
- source_id
- source_url
- source_publish_date 或 last_checked_date
- why_worth_analyzing
4. Deduplicate
去重规则：
- 同 ticker 同 exchange 视为同一产品
- 同一 ETF 的媒体报道、交易所通知、发行人页面合并成一个候选
- share class、dual listing、fund conversion 不能误判为全新产品，必须标记
5. Score Priority
每个候选给出 priority_score，建议 0 到 5：
5: 新主题/新资产可达性/多发行人集中推出/上市后快速放量4: 有清晰结构创新、机构配置含义或高热度主题3: 普通但值得观察的新 ETF2: 低费率复制、存量产品变体或主题纯度存疑1: 信息不足、可能只是产品噪音0: 重复、转换、清盘替代或不属于 ETF/ETP 范围
6. Route Next Action
每个候选必须落到一个动作：
analyze_now进入etf-listing-analysis。watch_t1等 5、20、60 个交易日数据。needs_primary_confirmation先找交易所、发行人或监管来源。ignore_duplicate重复或只是 share class / dual listing。ignore_noise暂不跟踪。
Output Package
默认输出 etf-listing-discovery-package：
new-etf-watchlist.csvdiscovery-log.mdevidence-log.csv
new-etf-watchlist.csv 是传给 etf-listing-analysis 的入口。
Search Query Patterns
英文查询：
new ETF launches this weeksite:cboe.com/us/equities/notices/new_listings ETF first trade datesite:nyse.com ETF lists new fundsite:sec.gov N-1A ETF prospectus{issuer} launches ETF{theme} ETF launch{theme} ETF filed SEC
中文查询：
新上市 ETFETF 新发 上市{主题} ETF 上市{发行人} 推出 ETFETF 申请 文件
Quality Bar
- 不允许把媒体标题直接写成 confirmed listing
- 不允许把 filed、approved、announced、listed 混成一个状态
- 不允许只列 ticker，不补 issuer、exchange、listing date/source
- 不允许把 dual listing、share class conversion、mutual fund conversion 默认当新 ETF
- 不允许把 ETF 新发数量本身当趋势结论，必须交给
etf-listing-analysis做 T0/T1 判断
Handoff To ETF Listing Analysis
满足任一条件时进入 etf-listing-analysis：
- priority_score >= 4
- 同一主题 30 天内出现多个 issuer launch/filed
- 产品提供了新的资产可达性、收益结构、杠杆/反向工具或监管突破
- 上市后 AUM、成交或期权活动明显放量
- 成分股流动性较低，可能存在资金传导
© byteseek, Apache-2.0. 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/etf-listing-discovery of byteseek/Mira.
Open the folder on GitHubat commit adddce7
Compare with similar skills
Etf Listing Discovery 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 |
|---|---|---|---|---|---|---|
| Etf Listing Discovery this skillbyteseek/Mira | 275 | — | ~887 | Automated safety check: Pass | Apache-2.0 | |
| Stock APIzhangxiangliang/stock-api | 2k | — | ~507 | Automated safety check: Pass | MIT | |
| 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 | |
| Longbridge Researchhelsome/folio | 271 | 3 repos | ~2.1k | Automated safety check: Pass | MIT |
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Related
Categories
Questions about Etf Listing Discovery
What does Etf Listing Discovery do?
Discover listed, pending, filed, or newly announced ETFs and create a structured candidate watchlist for ETF listing analysis. Etf Listing Discovery is an agent skill from byteseek/Mira. Discover listed, pending, filed, or newly announced ETFs and create a structured candidate watchlist for ETF listing analysis.
When should I use Etf Listing Discovery?
Etf Listing Discovery fits situations like: tasks that involve Stock and market analysis.
How do I install Etf Listing Discovery in Claude Code?
Run `npx skills add byteseek/Mira --skill etf-listing-discovery -a claude-code`. Or copy the skill folder (skills/etf-listing-discovery in byteseek/Mira) into .claude/skills/etf-listing-discovery in your project. Claude Code loads it when a task matches its description.
How do I install Etf Listing Discovery in Codex?
Run `npx skills add byteseek/Mira --skill etf-listing-discovery -a codex`. Or copy the skill folder (skills/etf-listing-discovery in byteseek/Mira) into .agents/skills/etf-listing-discovery in your project. Codex loads it when a task matches its description.
Can I use Etf Listing Discovery 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 byteseek/Mira --skill etf-listing-discovery -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/etf-listing-discovery, .gemini/skills/etf-listing-discovery, .github/skills/etf-listing-discovery and .opencode/skills/etf-listing-discovery in your project.
What does Etf Listing Discovery need to run?
SKILL.md names no scripts, command-line tools or credentials: Etf Listing Discovery is instructions for the agent only.
Does Etf Listing Discovery 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 Etf Listing Discovery 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 Etf Listing Discovery use?
Etf Listing Discovery is published under the Apache-2.0 licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.
How many tokens does Etf Listing Discovery use?
About 887 tokens (SKILL.md is roughly 3.5k 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 Etf Listing Discovery?
Skills that share tags, products or a category with Etf Listing Discovery: Stock API (zhangxiangliang/stock-api, 2k stars), Tushare Data (zillionare/zillionare, 322 stars), Tradingview MCP (atilaahmettaner/tradingview-mcp, 5k stars) and Digital Oracle (komako-workshop/digital-oracle, 878 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
Who maintains Etf Listing Discovery?
byteseek (a GitHub organization) maintains it in byteseek/Mira, which has 275 GitHub stars. The repository holds 10 skills in this directory. The repository was last updated on September 8, 2026.
Source: byteseek/Mira on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.