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code-review

Comprehensive code review covering security, correctness, bash compatibility, test coverage, and code quality. Use for PRs, commits, or any code changes.

72

Quality

Does it follow best practices?

Impact

No eval scenarios have been run

SecuritybySnyk

Advisory

Suggest reviewing before use

SKILL.md
Quality
Evals
Security

Quality

Content

77%

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

A thorough, highly actionable code-review skill with a clear workflow and validation loops, though it is verbose and monolithic rather than progressively disclosed across reference files.

Suggestions

Move the Pentest Checklist, Finding Severity badge table, and PR Review Submission gh-api payloads into reference files under references/ and link to them from the main body to improve progressive disclosure and reduce inline length.

Tighten verbose sections — e.g. the post-review emoji reaction sub-steps and the per-finding field list — to their essential instructions to improve token efficiency.

Consider collapsing the long Review Dimensions bullet lists into a compact table or a referenced checklist so the main workflow stays scannable.

DimensionReasoningScore

Conciseness

The body is mostly efficient and assumes Claude's competence (it names TOCTOU, mutexes, etc. without explaining them), but at ~360 lines it is lengthy and sections like the pentest table and PR-reaction payloads could be tightened.

2 / 3

Actionability

Provides fully executable commands (gh api, docker run, git diff), copy-paste review payload templates, badge markdown, and concrete pentest test vectors — copy-paste ready guidance throughout.

3 / 3

Workflow Clarity

A clearly numbered workflow (scope → read → review dimensions) with explicit validation checkpoints (bash comparison, divergence classification, coverage summary) and a feedback loop for invalid comment line positions.

3 / 3

Progressive Disclosure

Well-organized into clear sections, but it is a single monolithic file with no bundle references; content such as the pentest checklist, PR-submission payloads, and badge definitions are inline and could be split into reference files.

2 / 3

Total

10

/

12

Passed

Description

100%

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 concise, third-person, and clearly communicates both the skill's capabilities and its trigger conditions. It hits all four rubric dimensions at the top anchor without padding.

DimensionReasoningScore

Specificity

Names five concrete review dimensions — 'security, correctness, bash compatibility, test coverage, and code quality' — matching the anchor for listing multiple specific concrete actions.

3 / 3

Completeness

Explicitly answers what ('Comprehensive code review covering...') and when ('Use for PRs, commits, or any code changes'), satisfying the explicit-trigger requirement.

3 / 3

Trigger Term Quality

'PRs, commits, or any code changes' are natural terms a user would say when requesting a review, giving good coverage of common phrasings.

3 / 3

Distinctiveness Conflict Risk

Targets a clear code-review niche with distinct triggers (PRs/commits/code changes), making unintended triggering of unrelated skills unlikely.

3 / 3

Total

12

/

12

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
DataDog/rshell
Reviewed

Table of Contents

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