REPOGEO REPORT · LITE

peteromallet/desloppify

Default branch main · commit 3a7735d5 · scanned 5/27/2026, 1:27:34 PM

GitHub: 2,873 stars · 200 forks

AI VISIBILITY SCORE

40 /100

Critical

Category recall

0 / 2

Not recommended in any query

Rule findings

2 pass · 0 warn · 0 fail

Objective metadata checks

AI knows your name

3 / 3

Direct prompts that named your repo

HOW TO READ THIS REPORT

Action plan is what to do next — copy-pasteable changes prioritized by impact. Category visibility is the real GEO test: when a user asks an AI a brand-free question that should surface peteromallet/desloppify, does the AI actually recommend you — or your competitors? Objective checks verify the metadata signals AI engines weight first. Self-mention check detects whether AI even knows you exist by name.

Action plan — copy-paste fixes

3 prioritized changes generated by gemini-2.5-flash. Mark items done after you ship the fix.

OVERALL DIRECTION

hightopics#1

Expand repository topics to include code quality and AI development terms

Why:

CURRENT

agent-harness

COPY-PASTE FIX

agent-harness, code-quality, refactoring, static-analysis, code-smells, technical-debt, ai-coding, llm-tools, developer-tools, python

highreadme#2

Reposition the README's opening paragraph to explicitly state its domain and differentiate from unrelated tools

Why:

CURRENT

Desloppify gives your AI coding agent the tools to identify, understand, and systematically improve codebase quality. It combines mechanical detection (dead code, duplication, complexity) with subjective LLM review (naming, abstractions, module boundaries), then works through a prioritized fix loop. State persists across scans so it chips away over multiple sessions, and the scoring is designed to resist gaming.

COPY-PASTE FIX

Desloppify is a powerful agent harness designed to help AI coding agents identify, understand, and systematically improve codebase quality. Unlike tools for managing music or media, Desloppify focuses exclusively on code refactoring, static analysis, and eliminating technical debt. It combines mechanical detection (dead code, duplication, complexity) with subjective LLM review (naming, abstractions, module boundaries), then works through a prioritized fix loop. State persists across scans so it chips away over multiple sessions, and the scoring is designed to resist gaming.

mediumreadme#3

Add a clear statement about the project's license in the README

Why:

COPY-PASTE FIX

## License
Desloppify is distributed under a custom license. Please refer to the `LICENSE` file in the repository for complete details.

Category GEO backends resolved for this scan: google/gemini-2.5-flash, deepseek/deepseek-v4-flash

Category visibility — the real GEO test

Brand-free queries asked to google/gemini-2.5-flash. Did AI recommend you, or someone else?

Same questions for every model — switch tabs to compare answers and rankings.

Recall

0 / 2

0% of queries surface peteromallet/desloppify

Avg rank

—

Lower is better. #1 = top recommendation.

Share of voice

Of all named tools, what % are you?

Top rival

Snyk Code

Recommended in 2 of 2 queries

COMPETITOR LEADERBOARD

Snyk Code · recommended 2×
Codiga · recommended 2×
SonarQube · recommended 2×
GitHub Copilot · recommended 1×
OpenAI Codex / GPT-4 · recommended 1×

CATEGORY QUERY
How can an AI agent automatically refactor and improve code quality in a large project?
you: not recommended
AI recommended (in order):
1. Snyk Code
2. Codiga
3. SonarQube
4. GitHub Copilot
5. OpenAI Codex / GPT-4
6. Infer (facebook/infer)
7. PMD (pmd/pmd)
8. Checkstyle (checkstyle/checkstyle)
AI recommended 8 alternatives but never named peteromallet/desloppify. This is the gap to close.
Show full AI answer
CATEGORY QUERY
What tools help AI coding agents identify and systematically fix codebase quality issues?
you: not recommended
AI recommended (in order):
1. DeepSource
2. SonarQube
3. CodeClimate
4. Snyk Code
5. Pylint
6. ESLint
7. RuboCop
8. Codiga
AI recommended 8 alternatives but never named peteromallet/desloppify. This is the gap to close.
Show full AI answer

Objective checks

Rule-based audits of metadata signals AI engines weight most.

Metadata completeness
pass
README presence
pass

Self-mention check

Does AI even know your repo exists when asked about it directly?

Compared to common alternatives in this category, what is the core differentiator of peteromallet/desloppify?
pass
AI named peteromallet/desloppify explicitly
AI answers can be confidently wrong. Read for accuracy: does it match your actual tech stack, audience, and differentiator?
If a team adopts peteromallet/desloppify in production, what risks or prerequisites should they evaluate first?
pass
AI named peteromallet/desloppify explicitly
AI answers can be confidently wrong. Read for accuracy: does it match your actual tech stack, audience, and differentiator?
In one sentence, what problem does the repo peteromallet/desloppify solve, and who is the primary audience?
pass
AI named peteromallet/desloppify explicitly
AI answers can be confidently wrong. Read for accuracy: does it match your actual tech stack, audience, and differentiator?

Embed your GEO score

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MARKDOWN (README)

[![RepoGEO](https://repogeo.com/badge/peteromallet/desloppify.svg)](https://repogeo.com/en/r/peteromallet/desloppify)

HTML

<a href="https://repogeo.com/en/r/peteromallet/desloppify"><img src="https://repogeo.com/badge/peteromallet/desloppify.svg" alt="RepoGEO" /></a>

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peteromallet/desloppify — Lite scans stay free; this card itemizes Pro deep limits vs Lite.

Deep reports10 / month
Brand-free category queries5 vs 2 in Lite
Prioritized action items8 vs 3 in Lite