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code-reviewer

Elite code review expert specializing in modern AI-powered code

36

1.12x
Quality

3%

Does it follow best practices?

Impact

96%

1.12x

Average score across 3 eval scenarios

SecuritybySnyk

Passed

No findings from the security scan

Fix and improve this skill with Tessl

tessl review fix ./plugins/AI-Agents-Safe-Coding-Skills/skills/code-reviewer/SKILL.md

The canonical home for this skill is code-reviewer in sickn33/agentic-awesome-skills

SKILL.md
Quality
Evals
Security

Quality

Content

7%Scale 1-3

Reviews the quality of instructions and guidance provided to agents. Good implementation is clear, handles edge cases, and produces reliable results.

This skill reads like a marketing brochure or persona description rather than actionable instructions. It exhaustively lists capabilities, tools, and topics Claude already knows without providing any concrete code examples, specific review checklists, or executable workflows. The content would need a fundamental restructuring to be useful as a skill file.

Suggestions

Replace the extensive capability/knowledge lists with a concise, actionable code review checklist organized by priority (security > correctness > performance > style) with specific things to check.

Add concrete code examples showing what good vs bad patterns look like for the most critical review areas (e.g., SQL injection, N+1 queries, missing error handling).

Define a clear workflow with validation checkpoints: e.g., 1) Run static analysis tools (specific commands), 2) Check security issues against a specific checklist, 3) Verify test coverage meets threshold, 4) Format feedback using a specific template.

Move the detailed tool lists and language-specific guidance into separate reference files and keep SKILL.md focused on the core review process and decision-making framework.

DimensionReasoningScore

Conciseness

Extremely verbose and padded with extensive lists of capabilities, tools, and concepts that Claude already knows. The bulk of the content is a taxonomy of code review topics rather than actionable instructions. Sections like 'Knowledge Base', 'Behavioral Traits', and exhaustive capability lists waste tokens describing what Claude inherently understands.

1 / 3

Actionability

No concrete code examples, commands, or executable guidance anywhere. The entire skill is abstract descriptions and bullet-point lists of topics. Instructions like 'Apply relevant best practices and validate outcomes' are vague. The 'Response Approach' is a generic 10-step list with no specifics on how to actually perform any step.

1 / 3

Workflow Clarity

The 10-step 'Response Approach' is a vague sequence with no validation checkpoints, no concrete commands, and no feedback loops. There's no guidance on what to do when issues are found, no severity classification criteria, and no verification steps. For a skill involving code review (which can have destructive implications via approvals), this is insufficient.

1 / 3

Progressive Disclosure

There is one reference to 'resources/implementation-playbook.md' for detailed examples, which shows some awareness of progressive disclosure. However, the main file itself is a monolithic wall of bullet points that could be dramatically restructured, and there's only one external reference for all the extensive topics covered.

2 / 3

Total

5

/

12

Passed

Description

0%Scale 1-3

Based on the skill's description, can an agent find and select it at the right time? Clear, specific descriptions lead to better discovery.

This description is essentially a tagline rather than a functional skill description. It relies on superlatives ('elite') and buzzwords ('AI-powered') without specifying concrete actions, trigger conditions, or a clear niche. It would be nearly impossible for Claude to reliably select this skill from a pool of coding-related skills.

Suggestions

Replace vague language with specific actions the skill performs, e.g., 'Reviews code for bugs, security vulnerabilities, performance issues, and style violations. Suggests refactors and improvements with explanations.'

Add an explicit 'Use when...' clause with natural trigger terms, e.g., 'Use when the user asks for a code review, PR feedback, pull request review, or wants code checked for issues.'

Remove marketing fluff like 'Elite' and 'AI-powered' which waste space and add no discriminative value for skill selection.

DimensionReasoningScore

Specificity

The description uses vague, buzzword-heavy language ('Elite code review expert') without listing any concrete actions. It does not specify what the skill actually does (e.g., review pull requests, suggest refactors, check for bugs).

1 / 3

Completeness

The description weakly addresses 'what' (code review) but provides no 'when' clause or explicit trigger guidance. There is no 'Use when...' or equivalent, and the 'what' itself is too vague to be useful.

1 / 3

Trigger Term Quality

'Code review' is a relevant keyword, but 'elite' and 'AI-powered' are marketing fluff rather than natural user trigger terms. Missing common variations like 'PR review', 'pull request', 'code feedback', 'review changes'.

1 / 3

Distinctiveness Conflict Risk

'Code review' is extremely broad and would conflict with many coding-related skills. 'Modern AI-powered code' is meaningless for disambiguation and adds no specificity to the skill's niche.

1 / 3

Total

4

/

12

Passed

Validation

90%

Checks the skill against the spec for correct structure and formatting. All validation checks must pass before discovery and implementation can be scored.

Validation10 / 11 Passed

Validation for skill structure

CriteriaDescriptionResult

frontmatter_unknown_keys

Unknown frontmatter key(s) found; consider removing or moving to metadata

Warning

Total

10

/

11

Passed

Repository
administrakt0r/AI-Agents-Safe-Coding-Skills
Reviewed

Table of Contents

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