tss-batch-prefetch

tss-batch-prefetch is an iOS development skill for AI agents, published by doronz88 in the pymobiledevice3 repository on GitHub. Skillspace rates tss-batch-prefetch C (74/100) and it passed the safety scan; the rating is based on static analysis only.

Maintain the batched TSS-prefetch list of peripheral updaters (`PREFETCHABLE_UPDATERS` in `pymobiledevice3/restore/tss.py`). Use when onboarding a new device model, debugging a TSS rejection of the combined POST, or extending the prefetch to cover additional chips (e.g. Cryptex1, Timer, TCON, future Apple peripherals). Walks through enumerating candidates from `PreflightInfo.DeviceInfo`, adding entries safely, and validating with a non-destructive dry-run before a live restore.

Grade

C

Quality

74 / 100

Safety

Passed

GitHub stars

2,558

Unproven: rated by static analysis only, not yet compared head-to-head.

Not launch-quality. It is graded C with a clean safety verdict, but our quality filters exclude it: a model that read it found it written only for the repository it lives in. So it is not in our launch-quality set, the skills our MCP server searches and recommends. How launch-quality is decided

Our two independent classifiers differ on this skill's category, so treat the placement as provisional.

This rating describes the version of the repository we crawled; it may have changed since, so go by its current files.

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