perf-optimization-audit

perf-optimization-audit is an MLOps & model serving skill for AI agents, published by tenstorrent in the tt-metal repository on GitHub. Skillspace rates perf-optimization-audit C (74/100) and it passed the safety scan; the rating is based on static analysis only.

Audit Tensix/SFPU LLK compute kernels for PERFORMANCE — unfilled latency shadows/bubbles and redundant NOPs, redundant Dst/LReg store-load traffic, loop-invariant work, predication that should be branchless arithmetic (min/max/abs/setsgn), un-fused mul+add, ignored APPROXIMATION_MODE, and unroll/register-pressure mistakes. Use after touching any ckernel_sfpu_*.h, hand-written TTI_SFP*/TTI_* sequence, or the compute inner loop. This is a PERF audit (wasted cycles), NOT a correctness/race audit — pair it with instruction-latency-audit.

Grade

C

Quality

74 / 100

Safety

Passed

GitHub stars

1,583

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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