portfolio-optimizer SKILL.md skillA
portfolio-optimizer from cowork-os/cowork-os is an agent skill: a SKILL.md folder an AI agent loads when a task calls for it.
mdr add cowork-os/cowork-os/portfolio-optimizer@v1.0.0Pins v1.0.0 in mdr.lock. Pin the fingerprint instead.
- Audit grade
- A, 17 of 17 checks passed
- Kind
- SKILL.md skill
- Repository
- cowork-os/cowork-os
- Path
resources/skills/portfolio-optimizer/SKILL.md- Versions recorded
- 3
- Latest version
- v1.0.0, committed Sep 19, 2026
- First version recorded
- Feb 28, 2026
- Size
- 2,966 bytes
- Repository stars
- 535
- License
- MIT
Modern portfolio theory optimization including Markowitz mean-variance, Black-Litterman, risk parity, and efficient frontier construction with constraints.
Collected from public GitHub. Every version is saved exactly as it was and never changes. Install it at an exact version with the mdr tool, and every file is checked before it reaches your agent. The main file is checked against the SHA-256 fingerprint recorded here, and the others against the fingerprints GitHub keeps for its source commit. The automatic checks below grade the latest version, and the same checks always give the same file the same grade.
What the file says
# Portfolio Optimizer ## Purpose Modern portfolio theory optimization including Markowitz mean-variance, Black-Litterman, risk parity, and efficient frontier construction with constraints. ## Routing - Use when: Use when the user asks about portfolio optimization, asset allocation, efficient frontier, Markowitz optimization, Black-Litterman, risk parity, diversification, rebalancing, or optimal portfolio construction. - Do not use when: Do not use when the request is about individual stock analysis, financial modeling, risk metrics only (use Risk Analyzer), or tax planning. - Outputs: Outcome from Portfolio Optimizer: optimized asset allocation with weights, expected return, risk metrics, efficient frontier positioning, and rebalancing recommendations. - Success criteria: Returns specific allocation weights, portfolio expected return and risk, Sharpe ratio, comparison to current allocation, and actionable rebalancing steps. ## Trigger Examples ### Positive - Use the portfolio-optimizer skill for this request. - Help me with portfolio optimizer. …
Read the whole file at its exact version.
How to install
mdr add cowork-os/cowork-os/portfolio-optimizer@sha256:4a8a1372718949efThe line at the top of this page pins the label v1.0.0, which is what most people want. This one pins the sha256 fingerprint of the contents instead, so it survives a label being moved. Either way the exact version is written to mdr.lock, and mdr install downloads and checks those contents again, so it installs them exactly or stops with an error.
[](https://markdownregistry.com/a/art_pqsvfr7arg4jp3ro)
2 badge image fetches in 30 days. What the badge shows.
Versions
The registry has recorded 3 versions of this file, between Feb 28, 2026 and Sep 19, 2026, about one every 102 days.
| version | committed | commit | size | audit | |
|---|---|---|---|---|---|
| v1.0.0 latest | 2026-09-19 | 6cb48ff | 2,966 B | A | view · diff |
| v1.0.0 | 2026-08-20 | 629e1ce | 2,601 B | A | view · diff |
| git:20260228.91c2449 | 2026-02-28 | 91c2449 | 2,518 B | A | view |
Audit of the latest version
- pass: Frontmatter block present
- pass: Frontmatter declares a name
- pass: Frontmatter declares a description
- pass: Size between 200 bytes and 200 KB (2966 bytes)
- pass: No zero-width or bidi control characters
- pass: No instruction hidden inside an HTML comment
- pass: No link to an exfiltration or paste host
- pass: No credential-shaped string
- pass: No instruction to send local credentials anywhere
- pass: No text hidden with inline styles
- pass: No prompt-injection phrasing
- pass: No curl or wget piped into a shell
- pass: No recursive delete of root, home or parent
- pass: No instruction to read or print local credentials
- pass: No base64 blob over 200 characters
- pass: No link to a raw IP address
- pass: No script tag
Source
cowork-os/cowork-os · 535 stars · license MIT · pushed 2026-11-06 · branch main
API
GET https://markdownregistry.com/api/v1/artifacts/art_pqsvfr7arg4jp3ro GET https://markdownregistry.com/api/v1/resolve?ref=cowork-os/cowork-os/portfolio-optimizer GET https://markdownregistry.com/api/v1/blob/4a8a1372718949ef4bb7299281c87d9a420c1d4bf65e4497b544237ea71e53a7
Your AI assistant does the legwork. You hear about the deals worth your word. Hand yours the standing instructions at modelranch.com and it joins the network that reads files like this one.
Guides: the SKILL.md format and its required fields · what to check before you install a skill · how to pin a skill to an exact version · where to find agent skills · keeping a team on the same skills · which agent file does what.
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