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deslop

Remove AI-generated code slop and clean up code style

64

Quality

Does it follow best practices?

Impact

No eval scenarios have been run

SecuritybySnyk

Passed

No known issues

SKILL.md
Quality
Evals
Security

Quality

Content

100%

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

The content is an exemplary lean, well-organized instruction skill: concise, concrete, and unambiguously actionable with appropriate guardrails. It fully earns the top score across all content dimensions.

DimensionReasoningScore

Conciseness

The body is lean bullet-list guidance with no concept explanation or padding — 'Keep behavior unchanged unless fixing a clear bug' and the focused pattern bullets assume Claude's competence, so every token earns its place per the top anchor.

3 / 3

Actionability

As an instruction-only skill it provides concrete, specific guidance naming exact patterns ('Casts to `any`', 'Defensive checks or try/catch blocks', 'simplified with early returns'); per the scoring notes, absence of code is not penalized when the guidance is actionable and specific.

3 / 3

Workflow Clarity

This is a simple single-task skill whose single action ('Check the diff against main and remove AI-generated slop') is unambiguous, and the guardrails act as behavior-preserving checkpoints, so workflow clarity scores 3 per the simple-skills note.

3 / 3

Progressive Disclosure

The body is under 50 lines, needs no external references, and is well organized into 'Focus Areas' and 'Guardrails' sections, meeting the bar for a 3 on progressive disclosure for short skills with clear organization.

3 / 3

Total

12

/

12

Passed

Description

50%

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 and names concrete actions, but it omits an explicit 'Use when...' trigger and uses terms that overlap with broader code-cleanup skills. Adding trigger phrasing and more specific capability language would raise it.

Suggestions

Add an explicit 'Use when...' clause naming the situations that should invoke the skill (e.g., 'Use when reviewing a branch diff for AI-generated slop before merging').

Replace the generic 'clean up code style' with more specific concrete actions to lift specificity, such as 'remove redundant comments, unnecessary defensive checks, and `any` casts'.

Include natural user phrasing variations like 'refactor', 'remove boilerplate', or 'clean up AI code' to improve trigger-term coverage.

DimensionReasoningScore

Specificity

The phrase 'Remove AI-generated code slop and clean up code style' names two concrete actions but they remain somewhat generic rather than listing multiple specific operations, matching the anchor that names domain and some actions but is not comprehensive.

2 / 3

Completeness

The description states what the skill does but lacks any 'Use when...' clause or equivalent explicit trigger guidance, so per the judging guidelines completeness is capped at 2 for having the 'what' but only an implied 'when'.

2 / 3

Trigger Term Quality

'AI-generated code slop' and 'code style' are reasonably natural terms, but common variations a user would actually say (e.g., 'refactor', 'remove boilerplate', 'clean up code') are missing, fitting the 'some relevant keywords but missing common variations' anchor.

2 / 3

Distinctiveness Conflict Risk

'Remove AI-generated code slop' is a distinct niche, but 'clean up code style' overlaps with general refactoring and linting skills, matching the anchor for something specific that could still overlap with similar skills.

2 / 3

Total

8

/

12

Passed

Validation

100%

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

Validation16 / 16 Passed

Validation for skill structure

No warnings or errors.

Repository
cursor/plugins
Reviewed

Table of Contents

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