etf-listing-analysis

etf-listing-analysis is a skill for Claude Code, Codex from byteseek/Mira. It costs 34 tokens per session (2,821 once invoked), scanned A, original, Apache-2.0.

An analysis skill for new, pending, or expanding exchange-traded funds (ETFs), which are funds traded on stock exchanges and built around defined investment exposures.

In plain words
What is it for?
Studying an ETF’s issuer, launch, holdings, weighting method, management style, and exposure to industries, countries, themes, factors, commodities, currencies, bonds, or individual stocks.
Why use it?
It helps distinguish a new ETF as a useful market signal, trading tool, access change, or marketing exercise rather than treating every launch as a buying signal.

Skill for Claude CodeCodex

Written for no agent in particular: nothing here depends on one.

Good fit Studying an ETF’s issuer, launch, holdings, weighting method, management style, and exposure to industries, countries, themes, factors, commodities, currencies, bonds, or individual stocks.

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Install with agentmods
npx agentmods add skills/byteseek/mira/etf-listing-analysis
Install

Getting it into your agent

One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.

Any agent
npx skills add byteseek/Mira --skill etf-listing-analysis
Clone the repo
git clone --depth 1 https://github.com/byteseek/Mira

Made for: Claude Code, Codex.

Wrote this? Show the measurements

A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.

agentmods badge for etf-listing-analysis

README.md
[![agentmods](https://agentmods.dev/badge/skills/byteseek/mira/etf-listing-analysis/github.svg)](https://agentmods.dev/skills/byteseek/mira/etf-listing-analysis)
Your own site
<a href="https://agentmods.dev/skills/byteseek/mira/etf-listing-analysis"><img src="https://agentmods.dev/badge/skills/byteseek/mira/etf-listing-analysis/github.svg" alt="Measured on agentmods" height="20"></a>

Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.

agentmods 80×15 button for etf-listing-analysis

Your own site · 80×15
<a href="https://agentmods.dev/skills/byteseek/mira/etf-listing-analysis"><img src="https://agentmods.dev/badge/skills/byteseek/mira/etf-listing-analysis.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 34 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 2,821 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe. Third-party audits
  • NVIDIA SkillSpector pass 7 Sept 2026
How audits are shown
Origin original No closer match found in the catalogue.
Token cost

What it costs to keep this loaded

Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.

ModelPer sessionOnce invoked
Fable 5.1 $0.00034 $0.02821
Opus 5 $0.00017 $0.01411
Sonnet 5 $0.00007 $0.00564
Haiku 4.5 $0.00003 $0.00282

Measured 11d ago against content hash 1fd4a6d24df5, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-11, from the pricing page.

Security

Grade A, and why

etf-listing-analysis scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 11d ago.

A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.

Nothing flagged

None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.

skills/etf-listing-analysis/SKILL.md · 254 lines

How it starts

The opening of the file, as written. The whole thing — 254 lines — stays where its author put it; the contents beside it link to each section on GitHub.

ETF Listing Analysis Skill

这个 skill 用于分析新上市 ETF、即将上市 ETF、ETF 申请文件和 ETF 产品线扩张。

它不把 ETF 新上市直接等同于买入信号,也不要求新 ETF 在首轮分析中已经完成资金验证。新上市本身首先是一个 product signal:发行人为什么现在愿意把某类暴露做成产品,想卖给谁,底层持仓和权重机制会把这个信号传导到哪里。

核心目标是回答:

新 ETF 上市到底代表真实配置方向、交易工具需求、资产可达性变化、用户偏好,还是主题营销和周期尾声包装?

Use When

  • 用户要求分析一个新上市 ETF 或即将上市 ETF
  • 用户想从 ETF 新发看市场偏好、配置方向、主题热度或成分股机会
  • 研究对象是 ETF 申请、上市公告、招募说明书、指数方法论或主动 ETF 组合
  • 需要判断某个主题是否开始进入机构可配置产品货架
  • 需要把 ETF 暴露传导到股票、行业、国家、债券、商品或加密资产

Avoid When

  • ETF 只是已有宽基产品的低费率复制,且没有新的配置含义
  • 上市主要是基金转换、税务结构调整或发行人内部产品整理
  • 底层资产极度不透明,无法确认持仓、指数规则或管理方式
  • 研究问题本质是单家公司财报、基本面或事件,ETF 只是背景噪音

Required Inputs

  • etf_name
  • ticker
  • market
  • issuer
  • listing_date
  • product_type 例如 passive index、active ETF、rules-based active、leveraged/inverse、covered call、buffer、single-stock、commodity、crypto、bond、thematic equity
  • management_mode 例如 passive index、active discretionary、rules-based active、quantitative active、synthetic/derivative based
  • weighting_mode 例如 market-cap weighted、equal-weighted、modified market-cap、liquidity-weighted、factor-weighted、theme-revenue-weighted、active discretionary
  • underlying_exposure 例如国家、行业、主题、因子、期限、商品、币种或单股
  • holdings_status confirmedpartialunavailable/inferred
  • research_cutoff_date
  • thesis_horizon

建议补充:

  • fee、index_provider、index_methodology、holdings、weighting_rules、rebalance_frequency
  • top holdings、top10_weight、single_name_cap、sector/country caps、theme revenue purity
  • peer ETF set、category products、issuer product history、distribution channel
  • seed capital、AUM、volume、bid-ask spread、creation/redemption unit
  • authorized participants、market makers、options listing status
  • underlying holdings liquidity、float、short interest、ownership and crowding

Framework

首轮分析必须分成四个核心判断和一个后续跟踪层:

  1. issuer intent
  2. structure and access
  3. exposure and constituent map
  4. mode and weighting mechanics
  5. post-listing tracking

post-listing tracking 是后续验证层,不是新 ETF 首轮结论的前置条件。

1. Issuer Intent

先判断发行人为什么现在推这个产品。允许多标签,但必须给主判断:

  • hype-capture 追热点、抢主题名字、承接媒体和散户热度。
  • long-term-allocation 建立长期配置货架,服务模型组合、顾问、机构或长期主题配置。
  • user-preference 响应客户、RIA、交易员、机构或零售用户已经存在的表达需求。
  • strategic-direction 代表发行人产品线或平台方向,例如主动 ETF 化、加密资产、能源转型、期权收益。
  • access-innovation 把难直接买、难托管、难税务处理或难跨境配置的资产包装成普通账户可交易产品。
  • theme-purity 试图比现有 ETF 更纯粹地表达某个主题、产业链或因子。
  • fee-lineup-competition 补全产品线、降低费率、替代竞品或防止客户流失。

Read the full file on GitHub · 254 lines

Files

What ships with it

1 file beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.

Changes

What this file has done since we first saw it

Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.

  1. 11d ago First seen · 254 lines · 34 tokens per session scan A 1fd4a6d24df5

Subscribe to this mod's changes

etf-listing-analysis is a skill published in the GitHub repository byteseek/Mira (268 stars, last pushed 3d ago), licensed Apache-2.0. It adds 34 tokens to every session and 2,821 once invoked, about $0.0002 per session on Opus 5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.