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 iFurySt/aifi --skill portfolio-exposure-reviewgit clone --depth 1 https://github.com/iFurySt/aifiWrote 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/ifuryst/aifi/portfolio-exposure-review)<a href="https://agentmods.dev/skills/ifuryst/aifi/portfolio-exposure-review"><img src="https://agentmods.dev/badge/skills/ifuryst/aifi/portfolio-exposure-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/ifuryst/aifi/portfolio-exposure-review"><img src="https://agentmods.dev/badge/skills/ifuryst/aifi/portfolio-exposure-review.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 | $0.00071 | $0.00537 |
| Opus 5 | $0.00036 | $0.00269 |
| Sonnet 5 | $0.00014 | $0.00107 |
| Haiku 4.5 | $0.00007 | $0.00054 |
Grade A, and why
portfolio-exposure-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 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.
How it starts
The opening of the file, as written. The whole thing — 62 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Portfolio Exposure Review
Use this skill after single-name evidence and thesis work when the question is about portfolio fit. It does not execute trades or prescribe an order; it frames position-level risks, constraints, and watch items for the user.
Inputs
- target thesis, valuation scenario, market signals, and risk diligence where available
- current or proposed position size if the user provides it
- portfolio holdings, sector weights, factor exposures, cash, liquidity needs, or risk limits when available
- benchmark, mandate, time horizon, and tax or restriction context when relevant
Workflow
- Load the target archive and any supplied portfolio context.
- Identify whether the task is about a new idea, existing holding, watchlist candidate, trim/add decision, or portfolio-level risk review.
- Map exposures by issuer, sector, industry, geography, currency, factor, customer/supplier dependency, and catalyst overlap.
- Review position sizing context: concentration, liquidity, drawdown contribution, conviction, valuation range, risk severity, and time horizon.
- Identify correlated risks and duplicate bets across holdings or watchlist names.
- Produce user-controlled options such as watch, research more, add to watchlist, size smaller, rebalance candidate, or revisit after catalyst.
- Save the review under
research/targets/<target>/artifacts/portfolio-reviews/or a portfolio archive when one exists.
Read references/portfolio-review-framework.md before writing the review.
Output
Return:
- portfolio context used and missing context
- exposure map and concentration notes
- sizing considerations, not an autonomous trade instruction
- liquidity, correlation, drawdown, and catalyst-overlap risks
- fit with thesis, valuation, and risk evidence
- user-controlled options and watch triggers
- archive files created or updated
Quality Gate
Before finishing:
- state whether actual portfolio holdings were available or assumed absent
- do not recommend or execute trades
- distinguish target-specific risk from portfolio-level exposure
- label stale or missing prices, weights, liquidity, and benchmark data
- avoid precise sizing math without complete portfolio inputs
- preserve user control over any allocation decision
What ships with it
2 files 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.
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 · 62 lines · 71 tokens per session scan A a2b4c42076ee
portfolio-exposure-review is a skill published in the GitHub repository iFurySt/aifi (22 stars, last pushed 1mo ago), licensed MIT. It adds 71 tokens to every session and 537 once invoked, about $0.0004 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.
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