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-sectorgit 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-sector)<a href="https://agentmods.dev/skills/daringanitch/claude-stock-analyst/etf-sector"><img src="https://agentmods.dev/badge/skills/daringanitch/claude-stock-analyst/etf-sector/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-sector"><img src="https://agentmods.dev/badge/skills/daringanitch/claude-stock-analyst/etf-sector.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 | $0.00044 | $0.00494 |
| Opus 5 | $0.00022 | $0.00247 |
| Sonnet 5 | $0.00009 | $0.00099 |
| Haiku 4.5 | $0.00004 | $0.00049 |
Grade A, and why
etf-sector 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.
What it actually says
The user wants to express a view on a sector or theme via an ETF. Don't just list options — give a clear ranked recommendation.
1. DEFINE THE EXPOSURE What does owning this sector/theme actually mean?
- What's the macro thesis driving interest in it?
- What kind of companies should an ETF in this space hold?
- What would a bad ETF in this space hold instead?
2. THE MAIN OPTIONS List the 3–5 most relevant ETFs for this sector/theme:
| ETF | Issuer | AUM | Expense Ratio | # Holdings | Index |
|---|---|---|---|---|---|
3. METHODOLOGY DIFFERENCES This is the most important section — ETFs covering the "same" sector can be dramatically different:
- Market-cap weighted vs equal weight vs revenue weighted?
- Broad sector vs narrow sub-theme?
- US-only vs global?
- Pure-play vs mixed exposure?
- What is the largest holding and does it dominate?
4. WHAT YOU'RE ACTUALLY BETTING ON For each ETF, one sentence: if you own this, what has to be true for it to outperform?
5. RANKED RECOMMENDATION
#1 [TICKER] — Best overall for most investors Why: cost, liquidity, clean exposure to the thesis
#2 [TICKER] — Best for [specific use case] Why: higher conviction / purer play / different factor tilt
#3 [TICKER] — Only if [condition] Why: niche use case, higher cost justified by specificity
6. WHAT TO AVOID AND WHY Name any ETFs in this space that look relevant but have hidden problems: excessive concentration, high fees, poor liquidity, methodology that drifts from the stated theme.
7. THE HONEST CAVEAT Is this sector ETF actually the right instrument for the thesis, or would a basket of individual stocks give cleaner exposure? When does the sector ETF work against you (e.g. owning XLE for oil but getting dragged by refiner holdings that move differently)?
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.
- 11d ago First seen · 48 lines · 44 tokens per session scan A f7549e5c2840
etf-sector is a skill published in the GitHub repository daringanitch/claude-stock-analyst (9 stars, last pushed 1mo ago), licensed MIT. It adds 44 tokens to every session and 494 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 2026-08-31.
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