perf-parameter-impact
perf-parameter-impact is an Exploratory analysis & notebooks skill for AI agents, published by tenstorrent in the tt-metal repository on GitHub. Skillspace rates perf-parameter-impact D (66/100) and it passed the safety scan; the rating is based on static analysis only.
Analyze LLK performance-report CSV files and create evidence-backed parameter-impact reports in a Cursor Canvas. Use when asked how formats, fidelity, dimensions, accumulation, indexing, loop factors, or other parameters affect TILE_LOOP or another marker in a .post.csv report.
- Grade
- D
- Quality
- 66 / 100
- Safety
- Passed
- GitHub stars
- 1,670
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
- 96 / 100
- Maturity
- Basic: a single SKILL.md
- Security scan
- No issues found
- License
- Not declared. Check the repository before reusing it.
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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