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deslop

Remove AI-generated code slop from the current branch. Use after writing code to clean up unnecessary comments, defensive checks, and inconsistent style.

Install with Tessl CLI

npx tessl i github:brianlovin/claude-config --skill deslop
What are skills?

Overall
score

75%

Does it follow best practices?

Validation for skill structure

SKILL.md
Review
Evals

Discovery

75%

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 effectively communicates its purpose and includes an explicit 'Use when' clause, making it complete. However, it could benefit from more specific concrete actions and additional natural trigger terms that users might actually say when they need this functionality.

Suggestions

Add more natural trigger terms users might say, such as 'clean up code', 'refactor AI code', 'remove boilerplate', or 'fix generated code'

List more specific concrete actions like 'removes TODO comments, simplifies error handling, standardizes naming conventions' to improve specificity

DimensionReasoningScore

Specificity

Names the domain ('AI-generated code slop') and some actions ('clean up unnecessary comments, defensive checks, and inconsistent style'), but doesn't list comprehensive concrete actions like specific refactoring operations or file types handled.

2 / 3

Completeness

Clearly answers both what ('Remove AI-generated code slop... clean up unnecessary comments, defensive checks, and inconsistent style') and when ('Use after writing code') with an explicit trigger clause.

3 / 3

Trigger Term Quality

Includes some relevant terms like 'code slop', 'unnecessary comments', 'defensive checks', but misses common variations users might say like 'clean up code', 'remove boilerplate', 'fix AI code', 'refactor', or 'code cleanup'.

2 / 3

Distinctiveness Conflict Risk

Has a clear niche focused specifically on AI-generated code cleanup with distinct triggers ('code slop', 'AI-generated'); unlikely to conflict with general code formatting or linting skills.

3 / 3

Total

10

/

12

Passed

Implementation

72%

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

This is a concise, well-scoped skill that clearly defines what constitutes 'AI slop' to remove. However, it would benefit from concrete examples showing before/after code patterns and explicit workflow steps including how to check the diff and validate changes don't break the codebase.

Suggestions

Add 1-2 concrete before/after code examples showing what 'extra comments' or 'abnormal defensive checks' look like versus acceptable code

Include the specific git command to check diff against main (e.g., `git diff main...HEAD`)

Add a validation step: suggest running tests or type-checking after removing code to ensure functionality is preserved

DimensionReasoningScore

Conciseness

The skill is lean and efficient, listing only what Claude needs to know without explaining basic concepts. Every line serves a purpose with no padding or unnecessary context.

3 / 3

Actionability

Provides clear criteria for what to remove (comments, defensive checks, casts, style inconsistencies) but lacks concrete examples of before/after code or specific commands for checking the diff against main.

2 / 3

Workflow Clarity

The workflow is implicit (check diff → identify slop → remove → report) but not explicitly sequenced. Missing validation steps - no guidance on verifying changes don't break functionality before committing.

2 / 3

Progressive Disclosure

For a simple, single-purpose skill under 50 lines, the content is appropriately self-contained with clear organization. No need for external references given the scope.

3 / 3

Total

10

/

12

Passed

Validation

62%

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

Validation10 / 16 Passed

Validation for skill structure

CriteriaDescriptionResult

description_trigger_hint

Description may be missing an explicit 'when to use' trigger hint (e.g., 'Use when...')

Warning

metadata_version

'metadata' field is not a dictionary

Warning

license_field

'license' field is missing

Warning

body_examples

No examples detected (no code fences and no 'Example' wording)

Warning

body_output_format

No obvious output/return/format terms detected; consider specifying expected outputs

Warning

body_steps

No step-by-step structure detected (no ordered list); consider adding a simple workflow

Warning

Total

10

/

16

Passed

Reviewed

Table of Contents

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