Agents should invoke this skill for code reviews, linting/formatting setup, maintainability checks, complexity concerns, warning cleanup, coding standards, or quality gates in Rust, TypeScript, Python, shell, and mixed repos.
SkillScore96Maintained
Automatic
◆Coding pack
Last verified 8/19/2026
What it changes
Passed 23 of 24 test cases with the skill, and 19 of 24 without it.
Without skill79%
With skill96%
Checks it passed that the model alone missed
States the data flow complexity threshold limit as 25
Includes a top-level section header starting with '## Code Review:'
Includes a section header starting with '### Positive Observations'
and 3 more in the full report
4 fixed19 passed either way1 still failing0 broke
Pass-rate lift
+17 pp
Tokens
+78%
Agent turns
0%
Response time
-37%
Model gemini-3.6-flashMeasured 8/19/2026v123 of 24 cases passed with skill
Tokens, turns and time describe resource use, not a dollar price.
See it in action
One of 4 test cases the skill fixed. Same model, same prompt, with and without the skill.
1 of 4
Prompt
We are creating a script that outputs code review reports in Markdown. What exact set of column header titles should be used for the Findings table?
What was checked, without and with the skill
Checked
Without skill
With skill
Includes the findings table columns Severity, File, Line(s), Finding, and Suggestion
Missed
Passed
case-24 · gemini-3.6-flash · 8/19/2026 · answers are capped and redacted
What's inside
The instructions your model reads when the skill loads.
SKILL.md233 linessingle file
Code Quality
Structured code review and quality enforcement across common tech stacks. Checklists, linting strategies, and metrics to keep codebases healthy.
Quick Start
Run a Code Quality Check
Run static analysis: Linters, type checkers, formatters
Review against checklist: Language-specific items below
Check complexity metrics: Cyclomatic < 25, data flow < 25
Report findings: Structured output with severity and recommendations
Linting Configurations
Rust — Clippy Config
Standard clippy configuration (in Cargo.toml or .clippy.toml):