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code-review-excellence

Master effective code review practices to provide constructive feedback, catch bugs early, and foster knowledge sharing while maintaining team morale. Use when reviewing pull requests, establishing review standards, or mentoring developers.

65

1.28x
Quality

51%

Does it follow best practices?

Impact

86%

1.28x

Average score across 3 eval scenarios

SecuritybySnyk

Passed

No known issues

Optimize this skill with Tessl

npx tessl skill review --optimize ./tests/ext_conformance/artifacts/agents-wshobson/developer-essentials/skills/code-review-excellence/SKILL.md
SKILL.md
Quality
Evals
Security

Evaluation results

82%

17%

Code Review: User Authentication API Endpoint

Review format and severity labeling

Criteria
Without context
With context

Template: Summary section

100%

100%

Template: Strengths section

100%

100%

Template: Required Changes section

100%

100%

Template: Suggestions section

100%

100%

Template: Verdict section

62%

100%

Blocking label used

60%

100%

Nit/suggestion labels used

50%

100%

Praise label used

50%

100%

Question approach

0%

0%

Collaborative language

20%

40%

Identifies SQL injection

100%

100%

Identifies weak hashing

100%

100%

86%

8%

Code Review: React User Dashboard Components

TypeScript-specific bug detection

Criteria
Without context
With context

Flags 'any' in Props

100%

100%

Flags 'any' in api-client

100%

100%

Flags unhandled async errors

100%

100%

Clear verdict

75%

100%

Flags prop mutation

100%

100%

Does NOT flag formatting/style

100%

100%

Question approach

0%

0%

Collaborative language

10%

80%

Flags test mutation issue

100%

100%

Includes positive feedback

100%

100%

91%

23%

Code Review: Notification Service and Cart Logic

Python-specific bug detection

Criteria
Without context
With context

Flags mutable default: metadata

100%

100%

Flags mutable default: channels

100%

100%

Flags mutable default: preferences

100%

100%

Flags mutable class attributes

100%

100%

Flags broad exception catch

100%

100%

Flags implementation-testing in tests

80%

100%

Does NOT flag formatting/style

100%

100%

Question approach

0%

50%

Collaborative language

20%

70%

Includes positive feedback

0%

100%

Repository
Dicklesworthstone/pi_agent_rust
Evaluated
Agent
Claude Code
Model
Claude Sonnet 4.6

Table of Contents

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