Agent skill

Fin Etf Premium

by criptogus in criptogus/agent-evolve-network

Analyze ETF premium/discount to NAV — single-ETF snapshots, multi-ETF ranking, premium screening, deep dives, and gamma-driven premium surge decomposition.

MITAuto-check passedBusiness, Finance & HR

Install Fin Etf Premium

skills CLI
$ npx skills add criptogus/agent-evolve-network --skill fin-etf-premium -a claude-code

Project install by default; add -g for ~/.claude/skills/.

GitHub CLI
$ gh skill install criptogus/agent-evolve-network fin-etf-premium --agent claude-code

Project scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).

Manual copy
$ git clone --depth 1 https://github.com/criptogus/agent-evolve-network.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/fin-etf-premium .claude/skills/fin-etf-premium && rm -rf skills-src

Use ~/.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/

Facts

Skill name
fin-etf-premium
GitHub stars
288
Token cost
~900 tokens
SKILL.md length
348 words
Files
1
Skills in repo
107
Repo updated
First seen
Licence
MIT

At a glance

Analyze ETF premium/discount to NAV — single-ETF snapshots, multi-ETF ranking, premium screening, deep dives, and gamma-driven premium surge decomposition.

  • The user asks for etf premium/discount analysis work
  • SKILL.md covers Instructions, Always, Never and Examples, plus 1 more section
  • Calls npx
  • Tasks that involve Stock and market analysis

What it does

Fin Etf Premium is an agent skill from criptogus/agent-evolve-network. Analyze ETF premium/discount to NAV — single-ETF snapshots, multi-ETF ranking, premium screening, deep dives, and gamma-driven premium surge decomposition. Use when the user asks for etf premium/discount analysis work, or mentions fin, etf, premium.

Its SKILL.md is about 900 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 licence is MIT.

When your agent uses it

  • The user asks for etf premium/discount analysis work
  • Tasks that involve Stock and market analysis

Example prompts

  • “/fin-etf-premium”

Requirements

  • Node.js

What it can do on your machine

Read from SKILL.md and the folder at commit d19b920. 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

    Shell commands in SKILL.md call:

    • npx

    From the folder's file list and the shell code blocks in SKILL.md.

  • Network

    Links to these hosts (documentation or services it may open):

    • superagentskill.com

    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

Fin Etf Premium loads about 900 tokens when it runs. Until then it costs about 66 tokens; SKILL.md has 348 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~66
When it runs · the whole SKILL.md, loaded when a task matches
~900

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 criptogus/agent-evolve-network at commit d19b920, republished under its MIT licence (© criptogus). 348 words, ~900 tokens.

Download SKILL.mdSave it as .claude/skills/fin-etf-premium/SKILL.md (or your agent's skills folder).
name
fin-etf-premium
description
Analyze ETF premium/discount to NAV — single-ETF snapshots, multi-ETF ranking, premium screening, deep dives, and gamma-driven premium surge decomposition. Use when the user asks for etf premium/discount analysis work, or mentions fin, etf, premium.
version
0.1.0
license
MIT
homepage
https://superagentskill.com/marketplace/fin-etf-premium
source
Super Agent Skill (SAK)

ETF Premium/Discount Analysis

Use this skill when a user wants to understand an ETF trading away from its net asset value: a single-ETF premium/discount snapshot versus peers, a ranked multi-ETF comparison, a premium screener across a universe, a deep dive explaining the cause, or a premium-surge decomposition (separating NAV-driven moves from excess premium, including dealer gamma exposure / GEX analysis).

It fetches market data, computes premium/discount and peer context, and explains the "why" rather than just the number. Research/educational only, not financial advice; it does not recommend trades.

Instructions

You are an ETF premium/discount analyst. Step 1 - Ensure dependencies are available (e.g. yfinance, numpy, pandas). Step 2 - Route to the correct sub-skill: (A) Single ETF Snapshot with peer comparison by category; (B) Multi-ETF Comparison ranked by premium/discount; (C) Premium Screener over a defined universe; (D) Premium Deep Dive explaining the cause; (E) Premium Surge Decomposition (gamma-squeeze analysis). Defaults: compare against category peers. For (A) compute premium/discount = (price - NAV)/NAV, fetch peer group, and interpret. For (E) decompose today's move into NAV-driven vs excess premium, compute dealer gamma exposure (GEX) from the options chain, compare structural buying pressure to actual volume, and assess the premium convergence timeline. Step 3 - Respond: always include the premium/discount value, peer context, and an explanation of the cause; always caveat. Use clean formatting and ranked tables where relevant. Research/educational only, not financial advice; do not recommend trades.

Always

  • Fetch live data and compute premium/discount rather than answering from memory.
  • Explain the cause of the premium/discount, not just the number.
  • State that output is research/educational, not financial advice.

Never

  • Recommend buying or selling an ETF based on its premium.
  • Present a surge as a guaranteed gamma squeeze without the GEX/volume evidence.

Examples

Single snapshot

Input:

Is ARKK trading at a premium or discount to NAV?

Expected output:

Computes (price - NAV)/NAV, compares against category peers, and interprets the level (typical,
elevated, or stretched), with a caveat. Research-only, not advice.
Surge decomposition

Input:

Why did this leveraged ETF's premium spike today?

Expected output:

Decomposes the move into NAV-driven vs excess premium, computes dealer GEX from the options chain,
compares structural buying to volume, and gives a convergence-timeline read. Not a recommendation.

Trust & telemetry

This skill is graded on the Super Agent Skill network: format, substance and adversarial (prompt-injection) testing produce a public Trust Score.

Reinstall or update with npx skills update, or pull the live graded version with npx super-agent install fin-etf-premium.

© criptogus, MIT. 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/fin-etf-premium of criptogus/agent-evolve-network.

Open the folder on GitHubat commit d19b920

Compare with similar skills

Fin Etf Premium 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.

Fin Etf Premium compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Fin Etf Premium this skillcriptogus/agent-evolve-network288—~900Automated safety check: PassMIT
Stock APIzhangxiangliang/stock-api2k—~507Automated safety check: PassMIT
Tushare Datazillionare/zillionare3182 repos~2.3kAutomated safety check: PassNone
Tradingview MCPatilaahmettaner/tradingview-mcp4.9k—~1.3kAutomated safety check: PassMIT
Digital Oraclekomako-workshop/digital-oracle867—~5.9kAutomated safety check: PassMIT
Longbridge Researchhelsome/folio2693 repos~2.1kAutomated safety check: PassMIT

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Questions about Fin Etf Premium

What does Fin Etf Premium do?

Analyze ETF premium/discount to NAV — single-ETF snapshots, multi-ETF ranking, premium screening, deep dives, and gamma-driven premium surge decomposition. Fin Etf Premium is an agent skill from criptogus/agent-evolve-network. Analyze ETF premium/discount to NAV — single-ETF snapshots, multi-ETF ranking, premium screening, deep dives, and gamma-driven premium surge decomposition.

When should I use Fin Etf Premium?

Fin Etf Premium fits situations like: the user asks for etf premium/discount analysis work; tasks that involve Stock and market analysis.

How do I install Fin Etf Premium in Claude Code?

Run `npx skills add criptogus/agent-evolve-network --skill fin-etf-premium -a claude-code`. Or copy the skill folder (skills/fin-etf-premium in criptogus/agent-evolve-network) into .claude/skills/fin-etf-premium in your project. Claude Code loads it when a task matches its description.

How do I install Fin Etf Premium in Codex?

Run `npx skills add criptogus/agent-evolve-network --skill fin-etf-premium -a codex`. Or copy the skill folder (skills/fin-etf-premium in criptogus/agent-evolve-network) into .agents/skills/fin-etf-premium in your project. Codex loads it when a task matches its description.

Can I use Fin Etf Premium 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 criptogus/agent-evolve-network --skill fin-etf-premium -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/fin-etf-premium, .gemini/skills/fin-etf-premium, .github/skills/fin-etf-premium and .opencode/skills/fin-etf-premium in your project.

What does Fin Etf Premium need to run?

Going by SKILL.md and its folder, Fin Etf Premium needs the command-line tools its instructions call (npx). Our summary lists: Node.js.

Does Fin Etf Premium access the network?

SKILL.md names 1 domain. As links in the text: superagentskill.com. This is read from the text; nothing was executed.

Is Fin Etf Premium 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 Fin Etf Premium use?

Fin Etf Premium is published under the MIT licence (declared in SKILL.md). It allows redistribution, so the full SKILL.md is shown on this page.

How many tokens does Fin Etf Premium use?

About 900 tokens (SKILL.md is roughly 3.6k 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 Fin Etf Premium?

Skills that share tags, products or a category with Fin Etf Premium: Stock API (zhangxiangliang/stock-api, 2k stars), Tushare Data (zillionare/zillionare, 318 stars), Tradingview MCP (atilaahmettaner/tradingview-mcp, 4.9k stars) and Digital Oracle (komako-workshop/digital-oracle, 867 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Fin Etf Premium?

criptogus (a GitHub user) maintains it in criptogus/agent-evolve-network, which has 288 GitHub stars. The repository holds 107 skills in this directory. The repository was last updated on September 9, 2026.

Source: criptogus/agent-evolve-network on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.