trtllm-codebase-exploration
trtllm-codebase-exploration is a Codebase mapping & onboarding skill for AI agents, published by NVIDIA in the TensorRT-LLM repository on GitHub. Skillspace rates trtllm-codebase-exploration D (66/100) and it passed the safety scan; the rating is based on static analysis only.
Systematic approach to exploring the TensorRT-LLM codebase before implementing new features or optimizations. Teaches how to discover existing infrastructure, trace code paths, and avoid reimplementing what already exists. Derived from real mistakes where ~250 lines of code were written and deleted because existing forward methods weren't discovered upfront. Use when starting any new feature, optimization, or code modification in TRT-LLM.
- Grade
- D
- Quality
- 66 / 100
- Safety
- Passed
- GitHub stars
- 14,127
Unproven: rated by static analysis only, not yet compared head-to-head.
This rating describes the version of the repository we crawled; it may have changed since, so go by its current files.
Our review
- Architecture
- 84 / 100
- Maturity
- Basic: a single SKILL.md
- Security scan
- No issues found
- License
- Not declared. Check the repository before reusing it.
- Adoption
- Adopted by 2 other repositories, in 0 collections
- Scope
- Repo-internal: written for the repository it lives in. Explores the TensorRT-LLM codebase's own modules and code paths
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
- Sibling files (scripts, references) not fetched; security scan covers SKILL.md only
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