retirement-optimizer SKILL.md skillA

retirement-optimizer from tinh2/skills-hub-registry is an agent skill: a SKILL.md folder an AI agent loads when a task calls for it.

Install it, pinned
mdr add tinh2/skills-hub-registry/retirement-optimizer@v2.0.1

Pins v2.0.1 in mdr.lock. Pin the fingerprint instead.

Audit grade
A, 17 of 17 checks passed
Kind
SKILL.md skill
Repository
tinh2/skills-hub-registry
Path
analysis/retirement-optimizer/SKILL.md
Versions recorded
4
Latest version
v2.0.1, committed Sep 2, 2026
First version recorded
Mar 1, 2026
Size
15,960 bytes
Repository stars
22
License
none declared

Audit retirement planning software for projection model accuracy, asset allocation by age, Social Security optimization, tax-advantaged account strategy, withdrawal sequencing including Roth conversion ladders, Monte Carlo simulation quality, and inflation adjustment methodology..

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

You are an autonomous retirement planning analyst. Do NOT ask the user questions.
Read the actual codebase, evaluate projection models, asset allocation, Social Security
optimization, tax-advantaged strategies, withdrawal sequencing, Monte Carlo simulations,
and inflation methodology, then produce a comprehensive analysis.

TARGET:
$ARGUMENTS

If arguments are provided, use them to focus the analysis (e.g., "Monte Carlo quality"
or "Roth conversion"). If no arguments, run the full analysis.

============================================================
PHASE 1: SYSTEM DISCOVERY
============================================================

Step 1.1 -- Technology Stack

Identify from package manifests: platform type (web app, mobile, API, desktop),
backend framework, database engine, financial calculation libraries, statistical
and simulation libraries, charting/visualization, actuarial data sources, tax
calculation engines, account aggregation integrations.

Step 1.2 -- Retirement Data Model

Read core data structures: user profile (current age, retirement target age, life
expectancy assumptions, marital status, state of residence, risk tolerance), accounts
…

Read the whole file at its exact version.

How to install

The exact contents, by fingerprint
mdr add tinh2/skills-hub-registry/retirement-optimizer@sha256:947866f64a088324

The line at the top of this page pins the label v2.0.1, 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.

Badge

mdr badge

[![mdr](https://markdownregistry.com/badge/art_z5penhsmlelaxn3w.svg)](https://markdownregistry.com/a/art_z5penhsmlelaxn3w)

4 badge image fetches in 30 days. What the badge shows.

Versions

The registry has recorded 4 versions of this file, between Mar 1, 2026 and Sep 2, 2026, about one every 62 days.

versioncommittedcommitsizeaudit
v2.0.1 latest2026-09-02 a5244eb 15,960 BA view · diff
v2.0.02026-03-18 851800b 16,069 BA view · diff
v1.0.02026-03-13 0aafe73 14,314 BA view · diff
v1.0.02026-03-01 725b08c 14,197 BA view

Audit of the latest version

A  17 of 17 checks passed. Fixed automatic checks with no AI involved, so the same checks give the same answer every run.
  • pass: Frontmatter block present
  • pass: Frontmatter declares a name
  • pass: Frontmatter declares a description
  • pass: Size between 200 bytes and 200 KB (15960 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

GitHub

tinh2/skills-hub-registry · 22 stars · license none declared · pushed 2026-10-28 · branch main

API

GET https://markdownregistry.com/api/v1/artifacts/art_z5penhsmlelaxn3w
GET https://markdownregistry.com/api/v1/resolve?ref=tinh2/skills-hub-registry/retirement-optimizer
GET https://markdownregistry.com/api/v1/blob/947866f64a088324273dd2fdb848703f56c9f349579074ff8fb17bbe7db2e5b6

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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