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 nimadorostkar/Claude-Skills-collection --skill portfolio-reviewgit clone --depth 1 https://github.com/nimadorostkar/Claude-Skills-collectionWrote 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/nimadorostkar/claude-skills-collection/portfolio-review)<a href="https://agentmods.dev/skills/nimadorostkar/claude-skills-collection/portfolio-review"><img src="https://agentmods.dev/badge/skills/nimadorostkar/claude-skills-collection/portfolio-review/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/nimadorostkar/claude-skills-collection/portfolio-review"><img src="https://agentmods.dev/badge/skills/nimadorostkar/claude-skills-collection/portfolio-review.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector pass
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 | $0.00035 | $0.01530 |
| Opus 5 | $0.00017 | $0.00765 |
| Sonnet 5 | $0.00007 | $0.00306 |
| Haiku 4.5 | $0.00003 | $0.00153 |
Grade A, and why
portfolio-review 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 9d 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.
How it starts
The opening of the file, as written. The whole thing — 141 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Portfolio Review
Purpose
Determine what a portfolio is actually betting on, which is frequently not what its owner thinks. A portfolio of twenty names can be a single concentrated bet, and the position list will not tell you that.
When to Use
- Periodic review of holdings and exposure.
- After a drawdown, to understand what actually drove it.
- Before adding a position, to see what it does to the whole.
- Assessing whether diversification is real or nominal.
Capabilities
- Concentration analysis: position, sector, factor.
- Correlation and effective number of positions.
- Factor exposure: size, value, momentum, quality, volatility.
- Hidden-bet identification.
- Attribution: what actually drove the return.
Inputs
- Holdings, weights, and cost basis.
- Return history for correlation and factor analysis.
- The stated investment thesis, so the portfolio can be checked against it.
Outputs
- What the portfolio is actually exposed to.
- Divergences between the intended and the actual bet.
- Concentration risks that are not visible in the position list.
Workflow
- Compute the effective number of positions — Twenty names with a 0.85 average correlation is not twenty bets. The effective number tells you how many independent bets you actually hold, and it is usually far lower than the count.
- Aggregate by sector and by factor — Sector exposure is visible. Factor exposure — a portfolio that is entirely long-duration growth, whatever the sector labels say — usually is not.
- Find the hidden bet — Ten names in different sectors that all depend on the same input (interest rates, the price of oil, one customer) is one bet. This is what a correlation matrix reveals and a position list conceals.
- Attribute the return — What actually drove performance? If the portfolio is up 12% and 11 points came from one position, the strategy has not been validated; one position has.
- Compare with the thesis — Does the portfolio express the intended view? A portfolio built on a "value" thesis whose factor exposure is momentum has drifted.
- Stress it — What does this portfolio do in a 20% market decline, a 200bp rate move, or a sector rotation?
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.
- 9d ago First seen · 141 lines · 35 tokens per session scan A a9d6c7f9ec61
portfolio-review is a skill published in the GitHub repository nimadorostkar/Claude-Skills-collection (26 stars, last pushed 25d ago), licensed MIT. It adds 35 tokens to every session and 1,530 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 2026-09-03.
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