mpk-faithful-gate

mpk-faithful-gate is an MLOps & model serving skill for AI agents, published by mirage-project in the mirage repository on GitHub. Skillspace rates mpk-faithful-gate F (45/100) and the safety scan rated it risky; the rating is based on static analysis only.

Risky. This skill has patterns associated with unsafe behaviour. Read the source carefully before running it.

Build or run a FAITHFUL in-MPK per-task latency gate (slowCTA at the production grid + cos) for a DeepSeek-V3 MPK decode kernel or shape. Use this WHENEVER you need to measure, gate, or head-to-head-optimize an MPK kernel's per-task latency (dense FP8 GEMM, routed group-GEMM W13/W2, MLA decode, router/topk, AllReduce, etc.), stand up a faithful gate for a NEW kernel/shape, or dispatch a KDA/Ferret kernel agent against a faithful measure — and ESPECIALLY before trusting any per-task µs number in a DSv3 decode perf campaign. The faithful in-MPK slowCTA is the trusted measure; a standalone green-ctx bench MIS-RANKS and a whole-megakernel e2e number hides per-task cost — do not use either as the gate. Covers the slowCTA definition, the _faithful_helper reuse, the decode (M=1) input geometry, the GPU-broker + exclusive remote box, the gate watchdog, and the candidate-overlay bridge to faithful_eval.py.

Grade

F

Quality

45 / 100

Safety

Risky

GitHub stars

2,490

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

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

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