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code-reviewer

Elite code review expert specializing in modern AI-powered code

53

1.12x
Quality

30%

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

23%Weight 40%Scale 1-5

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

The body is a padded catalog of capabilities, tools, and traits with no executable guidance or concrete review procedures. Its only reference is a broken path, and its workflow lacks validation checkpoints.

Suggestions

Replace the capability/tool enumerations with a concrete review procedure: actual commands or code for running analysis (e.g. `semgrep scan`, specific lint invocations) and a worked review example.

Fix or remove the broken `resources/implementation-playbook.md` reference; if detail is needed, create the file under `references/` and link it with clear signaling.

Add validation checkpoints to the Response Approach (e.g. "re-run analysis after fixes; confirm findings resolved before approving") to turn the sequence into a real workflow.

DimensionReasoningScore

Conciseness

The body is ~170 lines of bullet lists enumerating tools and concepts Claude already knows (SonarQube, CodeQL, OWASP Top 10, SOLID, N+1), which is noticeably verbose padding rather than novel guidance.

2 / 5

Actionability

There is no executable code, no concrete commands, and no specific steps — the body only describes capabilities ("Integration with modern AI review tools", "OWASP Top 10 vulnerability detection") rather than instructing how to perform a review.

1 / 5

Workflow Clarity

The Response Approach lists a 10-step sequence, but the steps are abstract ("Apply automated tools", "Conduct manual review") with no explicit validation checkpoints or feedback loops.

3 / 5

Progressive Disclosure

Section headers provide minimal structure, but capability and knowledge-base lists that belong in separate reference files are inlined, and the lone reference points to a non-existent `resources/implementation-playbook.md` (no references/scripts/assets/resources directories exist).

2 / 5

Total

8

/

20

Passed

Description

36%Weight 40%Scale 1-5

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

The description is a buzzword-laden role statement that names the code-review domain but provides no concrete actions or explicit trigger guidance. It reads as marketing copy rather than a precise skill trigger.

Suggestions

Replace abstract role language with concrete actions, e.g. "Reviews diffs and pull requests for bugs, security flaws, and performance issues."

Add an explicit "Use when..." clause naming natural triggers such as "Use when reviewing a pull request, diff, or code change for quality, security, or performance."

Drop filler terms like "Elite" and "modern AI-powered" that add no discriminative value.

DimensionReasoningScore

Specificity

The description names the domain ("code review") but offers no concrete actions — "Elite code review expert specializing in modern AI-powered code" is a role label built on abstract, buzzword-heavy language rather than verbs like review, audit, or analyze.

2 / 5

Completeness

It gives only a vague "what" (an expert specializing in code review) and entirely omits any "Use when..." trigger guidance, matching the anchor for a vague what with no when.

2 / 5

Trigger Term Quality

"code review" is a natural phrase users would say, but coverage stops there; common variations like "PR review", "pull request", or "diff review" are missing alongside the filler terms "Elite" and "modern AI-powered".

3 / 5

Distinctiveness Conflict Risk

"code review" carves out a recognizable niche, but the generic "AI-powered code" framing leaves overlap risk with general coding and AI-assistant skills.

3 / 5

Total

10

/

20

Passed

Validation

93%

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

Validation15 / 16 Passed

Validation for skill structure

CriteriaDescriptionResult

frontmatter_unknown_keys

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

Warning

Total

15

/

16

Passed

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

Table of Contents

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