deslop
Clean AI-Generated Code Changes
AI-generated patches often add noisy comments, redundant checks, unsafe type casts, and inconsistent import placement. This skill reviews the branch diff and removes those patterns while preserving legitimate changes.
Install with my Agent
Copy this request to your Agent. It includes the canonical Skill page and manifest.
Review the Skillstore skill "deslop" from https://skillstore.io/skills/davila7-deslop.md and its manifest at https://skillstore.io/api/skills/davila7-deslop/manifest. Verify the artifact. You may proceed after verification, subject to the environment's own policy.Your Agent should still show its plan and request any confirmation required by the security policy.
Agent-readable resources
Use these links when an AI agent, crawler, or script needs clean context instead of reading the full page.
Test it
Using "deslop". Review my TypeScript branch for AI-generated cleanup noise.
Expected outcome:
Removed redundant explanatory comments and unnecessary type casts. Kept input validation because it protects an external boundary.
Using "deslop". Clean the Python changes and align them with nearby files.
Expected outcome:
Moved inline imports to the established import section and removed comments that repeated the code. Preserved the functional changes.
Using "deslop". Prepare this mixed-language branch for code review.
Expected outcome:
- Removed inconsistent comments from changed files.
- Normalized Python import placement.
- Preserved deliberate error handling and summarized the cleanup.
Security Audit
SafeBoth static findings are false positives caused by Markdown inline code. SKILL.md line 14 names a TypeScript type, while line 20 shows a fixed, read-only git diff command without user-controlled interpolation. No prompt injection or malicious intent was found.
Risk Factors
⚙️ External commands (2)
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APA citation
davila7. (2026). deslop security audit report (audit version 9) [Author version unspecified]. Skillstore. https://skillstore.io/skills/davila7-deslop/audits/9BibTeX citation
@techreport{davila7-davila7-deslop-2026,
author = {davila7},
title = {deslop security audit report (audit version 9)},
institution = {Skillstore},
year = {2026},
number = {9},
url = {https://skillstore.io/skills/davila7-deslop/audits/9},
note = {Author version unspecified}
}CITATION.cff
cff-version: 1.2.0
message: "If you use this Skill, cite its author and this versioned security audit report."
title: "deslop security audit report (audit version 9)"
version: "unspecified"
type: report
authors:
- name: "davila7"
date-released: "2026-07-23"
url: "https://skillstore.io/skills/davila7-deslop/audits/9"
identifiers:
- type: other
value: "skillstore:davila7-deslop:audit:9"
description: "Skillstore immutable audit report identifier"
Compare variants
3 installable variantsEach author remains a separate installable skill. The recommended variant is ranked by Skillstore evidence.
Why this variant is first
getsentry-deslop
2026-08-21
davila7-deslop
2026-08-21
skyzer-deslop
2026-08-21
Skillstore Score
Why this score Evidence Confidence: HighWhat You Can Build
Clean a Generated Feature Branch
Review recent AI-assisted changes and remove comments, checks, or casts that do not match the surrounding project.
Normalize Python Imports
Find inline imports introduced by a patch and move them beside existing top-level imports.
Prepare Changes for Review
Reduce distracting cleanup noise before a pull request receives human review.
Try These Prompts
Review my current branch against main. Remove obvious extra comments and style inconsistencies. Preserve intended behavior and summarize the edits.
Inspect the branch diff for unsafe any casts and redundant defensive checks. Follow nearby patterns and keep validation at external boundaries.
Compare every changed file with its surrounding code. Normalize comments, checks, and Python import placement without changing the feature behavior.
Audit the complete diff against main for AI-generated noise. Explain uncertain candidates, edit only well-supported cases, and preserve security-sensitive validation.
Best Practices
- Review the resulting diff before committing the cleanup.
- Run the repository test suite after edits to confirm behavior remains unchanged.
- Identify intentional guards, comments, or style exceptions before starting.
Avoid
- Do not remove checks solely because they look verbose.
- Do not assume every recent comment was generated by AI.
- Do not use an incorrect comparison base for the branch.
Frequently Asked Questions
What does the skill compare?
Does the skill modify changed files?
Does the defined process run tests?
Will it remove every defensive check?
Can it clean Python changes?
How should I review the result?
Developer Details
Author
davila7License
MIT
Skillstore revision
r2
Version notice
The author did not declare a version.
Repository
https://github.com/davila7/claude-code-templates/tree/main/cli-tool/components/skills/sentry/deslopRef
c43861a65bb95efcae259cd161c9d6f4dc7eec6f
Maintenance freshness
7/24/2026
Usage
8 downloads · 265 views
File structure
📄 SKILL.md