DriftGuard analyzes a repository for dependency and API upgrade impact, identifies affected code, applies targeted migration changes, and validates the result with tests. It returns a structured migration result with changed files, diff, migration report, test results, and PR-ready summary. Runs with Claude Agent in Capafy and supports terminal/CI workflows.
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.
I've spent years in fitting bays reading Trackman data — this Skill works the way a $200/hour fitting reads: paste your Trackman, GCQuad, Mevo+, R10, or sim numbers and get the one dominant diagnosis, an honest technique-vs-equipment verdict, exact spec directions when equipment is truly the problem, and a practice prescription with a measurable checkpoint. It will tell you NOT to buy a new driver when the data says strike training, which is exactly why you can trust it when it says the opposite
InvoiceGuard cross-checks every invoice against its purchase order (and receiving report, if you have one) and flags every pricing, quantity, or term discrepancy before you pay — no accounting software integration required.
Decide whether to buy, wait, or skip before you spend — with regret-risk scoring, future-self checks, and a 7-day purchase test.
Fix SRT subtitle timing with precise offset, FPS conversion, and two-anchor drift correction. Deterministic, local, and fail-safe — no AI guessing.
Your agent reads user-pasted text, web pages, retrieved docs, or tool output — and you can't tell which sentence an attacker wrote. A one-line "ignore malicious instructions" never held. This delivers a layered injection-defense design: threat model, attack-surface map, input/privilege/output defenses, canary tokens and a classifier, an adversarial red-team set with before/after, and residual risk plus an incident runbook.