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.
npx skills add daringanitch/claude-stock-analyst --skill etf-screengit clone --depth 1 https://github.com/daringanitch/claude-stock-analystWrote 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.
[](https://agentmods.dev/skills/daringanitch/claude-stock-analyst/etf-screen)<a href="https://agentmods.dev/skills/daringanitch/claude-stock-analyst/etf-screen"><img src="https://agentmods.dev/badge/skills/daringanitch/claude-stock-analyst/etf-screen/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.
<a href="https://agentmods.dev/skills/daringanitch/claude-stock-analyst/etf-screen"><img src="https://agentmods.dev/badge/skills/daringanitch/claude-stock-analyst/etf-screen.svg" alt="Reviewed on agentmods" width="80" height="20"></a>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.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5.1 | $0.00039 | $0.00371 |
| Opus 5.5 | $0.00016 | $0.00148 |
| Sonnet 5.5 | $0.00008 | $0.00074 |
| Haiku 4.5 | $0.00004 | $0.00037 |
Grade A, and why
etf-screen 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 2mo 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.
What it actually says
Run a structured 1-page ETF screen covering:
1. WHAT IT IS
- Full name, index tracked, index provider, fund issuer
- Strategy in 1 sentence: what does owning this ETF mean you're betting on?
- Inception date, AUM, average daily volume, expense ratio
2. WHAT YOU ACTUALLY OWN
- Top 10 holdings with % weight
- Sector breakdown (% of portfolio)
- Geographic breakdown if relevant
- Number of holdings total — how concentrated vs diversified is it really?
3. CONCENTRATION RISK
- Top 5 holdings as % of total portfolio
- If top 10 > 50%: flag as concentrated, not diversified
- Any single-stock dominance (>10% in one name) — name it explicitly
4. FACTOR TILT
- What factors does this ETF load on? (growth, value, momentum, quality, size, yield)
- What kind of market environment does it outperform / underperform?
- Beta vs S&P 500 (high/low/negative)
5. COST & EFFICIENCY
- Expense ratio vs cheapest alternative covering same exposure
- Tracking error vs benchmark (if available)
- Tax efficiency: does it distribute capital gains? (relevant for taxable accounts)
6. THE HONEST 1-LINE VERDICT One sentence: what is this ETF actually good for, and who should own it?
Flag any data older than 2 quarters. Note if the ETF is thinly traded (avg daily volume <$10M) — liquidity matters at exit.
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.
- 2mo ago First seen · 38 lines · 39 tokens per session scan A c7ef637b7bbc
etf-screen is a skill published in the GitHub repository daringanitch/claude-stock-analyst (9 stars, last pushed 3mo ago), licensed MIT. It adds 39 tokens to every session and 371 once invoked, about $0.0002 per session on Opus 5.5. 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 2026-08-31.
etf-screen compared with skills from other repositories
| Mod | Type | Stars | Last push | Licence | Scan | Tokens | Works with |
|---|---|---|---|---|---|---|---|
| etf-screendaringanitch/claude-stock-analyst | Skill | 9 | 3mo ago | MIT | A | 39 | Claude Code, Codex |
| equity-researchrollingSirius/equity-research-skill | Skill | 472 | 2mo ago | MIT | A | 452 | Claude Code, Codex |
| serenity-chokepoint-investingleospark/serenity-chokepoint-investing-skills | Skill | 11 | 5mo ago | MIT | A | 57 | Claude Code, Codex |
| grayscale-crypto-sectorsquestflowai/investorskills | Skill | 1.9k | 2mo ago | MIT | A | 56 | Claude Code, Codex |
| ansem-cryptoquestflowai/investorskills | Skill | 1.9k | 2mo ago | MIT | A | 41 | Claude Code, Codex |
| buffettquestflowai/investorskills | Skill | 1.9k | 2mo ago | MIT | A | 32 | Claude Code, Codex |
| darvas-boxquestflowai/investorskills | Skill | 1.9k | 2mo ago | MIT | A | 31 | Claude Code, Codex |