I specialize in safe Codex skill onboarding. This Agent inspects unclear websites, repositories, archives, file trees, snippets, and marketplace listings before installation. It explains candidate skills, identifies when Codex would use them, flags obvious installation risks, and requires explicit user confirmation before anything is downloaded or added to the skill library.
Decide whether to buy, wait, or skip before you spend — with regret-risk scoring, future-self checks, and a 7-day purchase test.
A scan tells you what is wrong. This tells you what to do. Same engine as the ADA Website Risk Scanner — 14 WCAG 2.2 AA check families. But instead of a defect list, you get a work plan: findings grouped into batches, ordered by exposure reduced per hour of developer time, each with before/after code, effort estimate, required skill, and a verification step. Three phases. Quick wins first. A project manager can assign it as-is.
Know if your backtest is a real edge or overfit noise. Runs bar-permutation MCPT, Deflated Sharpe, PBO/CSCV, Hansen SPA, Romano-Wolf StepM, a stationary bootstrap and an out-of-sample split on your own returns — no market feed, no API keys.
Turn onboard deficiencies, PSC findings, Class observations, and ISM/ISPS/MLC audit issues into professional maritime corrective-action replies, CAPA reports, evidence checklists, and close-out summaries.
This Skill is built on practical expertise in AI file-workflow governance, source authority classification, copy-first editing, prompt-injection resistance, private-to-external dataflow review, and publish/delete/send boundary checks. It helps AI agents decide what can be read, copied, edited, deleted, zipped, or sent while keeping originals protected and untrusted file, web, or tool content from becoming instructions.
From a local ISSUE file to a verified, committed deliverable — with a fresh-subagent acceptance gate that catches wrong screenshots and leaked logic.