code-review

code-review is a Codebase audits & code health skill for AI agents, published by ptsilivis in the autonomousguy repository on GitHub. Skillspace rates code-review C (73/100) and it passed the safety scan; the rating is based on static analysis only.

Senior embedded-engineer code review. Defaults to Classic AUTOSAR embedded C and covers two concerns: (1) Correctness review — integer overflow, volatile correctness, ISR/task race conditions, stack usage, dynamic memory, control flow, AUTOSAR/ISO 26262 readiness, with findings rated Critical/Major/Minor; (2) Naming review — AUTOSAR Classic conventions for modules, SWC types, port names, runnables, C identifiers, typedefs, macros, and enumerations, aligned with MISRA Rule 5.x identifier uniqueness. Audits existing code and generates correctly-named identifiers for new work. Handles Adaptive AUTOSAR C++14+ when the input is C++ or names ara::, reviewing RAII, exceptions vs ara::core::Result, smart pointers, and AUTOSAR C++14 / MISRA C++:2023 naming. A third focus, legacy modernization assessment, proposes the smallest safe steps toward a MISRA-conformant, MCAL-abstracted, unit-tested state. Returns decision-ready findings with a built-in self-check and can emit a self-contained HTML…

Grade
C
Quality
73 / 100
Safety
Passed
GitHub stars
21

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: it is a near-duplicate variant of another skill. 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.

Our review

Architecture
97 / 100
Maturity
Structured: ships references or scripts
Security scan
No issues found
License
MIT
Adoption
Adopted by 0 other repositories, in 0 collections

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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