instruction-latency-audit
instruction-latency-audit is a Runtime diagnostics & profiling skill for AI agents, published by tenstorrent in the tt-metal repository on GitHub. Skillspace rates instruction-latency-audit D (64/100) and it passed the safety scan; the rating is based on static analysis only.
Audit hand-written Tensix/SFPU instruction sequences for missing pipeline-latency padding — where a dependent instruction consumes a multi-cycle-latency result before it is ready and a NOP (or independent-instruction spacing) is required. Use after touching any raw TTI_SFP*/TTI_* sequence, ckernel_sfpu_* kernels, or hand-assembled instruction streams. NOT a cross-thread race — an intra-thread micro-architectural hazard.
- Grade
- D
- Quality
- 64 / 100
- Safety
- Passed
- GitHub stars
- 1,583
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.
This rating describes the version of the repository we crawled; it may have changed since, so go by its current files.
Our review
- Architecture
- 100 / 100
- Maturity
- Basic: a single SKILL.md
- Security scan
- Low-risk patterns
- License
- Apache-2.0
- Adoption
- Adopted by 0 other repositories, in 0 collections
What the scanner flagged
- mentions secrets in text
Not checked yet
- Category is a classifier prediction; no model has read this skill yet
- Not judged on the rubric yet (not a contender in its category)
- No blind task eval yet
- Scope (portable / vendor / repo-internal) not assessed; only the top of each category is read for scope
- Sibling files (scripts, references) not fetched; security scan covers SKILL.md only
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