maintainability-review
Run an unusually strict maintainability review for structural simplification, abstraction quality, file growth, branching, types, boundaries, and codebase…
Skill by paulorsv01
Chalk Labs
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Install
Works with Claude Code, Claude apps, Codex, Cursor, Gemini CLI, GitHub Copilot, VS Code, OpenCode, Goose, Windsurf. Read the repository before you give any tool access to your data.
npx agentmarket install skill/paulorsv01-maintainability-review
Asks which of your tools to add it to (Claude Code, Codex, Cursor, VS Code, Windsurf, Gemini CLI, Claude Desktop) and shows the change first. See https://agentmart.dev/cli.
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About
Use cases: marketing
Reviews
Write a reviewNo reviews yet. Installed it? Reviews come from verified installers only. How reviews work
Permissions
What this skill can do and what it asks for, from its SKILL.md. Checked Oct 25, 2026.
- Tools
- No tools found
- Secrets
- None asked for
- Install scripts
- None found
Network hosts it talks to 1
codeload.github.com· found in install command
Files it touches
~/.claude/skills/maintainability-review
What's inside
- Skill name
maintainability-review- Description
- Run an unusually strict maintainability review for structural simplification, abstraction quality, file growth, branching, types, boundaries, and codebase health.
- License
- MIT
- Instructions
- 21 lines in SKILL.md · view on GitHub
Files (3)
- SKILL.md
- openai.yaml · agents/
- code-quality-review.md · references/
SKILL.md (first lines)
# Thermo-Nuclear Code Quality Review Review only the added or modified code and its demonstrated structural effects. Remain read-only unless the user separately asks for fixes. Read the [canonical code-quality rubric](references/code-quality-review.md) in full before reviewing. Apply its code-judo, file-size, branching, boundary, type, canonical-layer, atomicity, and approval-bar rules. ## Workflow 1. Resolve the intended change and the smallest correct diff. 2. Read surrounding modules only as needed to judge ownership, reuse, and structural effects. 3. Search for an implementation shape that deletes concepts, branches, wrappers, or state. 4. Test every candidate finding against intended behavior and repository conventions. 5. Return a small set of high-conviction findings instead of cosmetic volume. ## Output Order findings by structural regression, missed simplification, branching growth, boundary or type problems, file growth, then smaller maintainability concerns. Each finding names `file:line`, the concrete maintenance cost, and the cleaner structural direction. If the implementation meets the rubric, approve it directly and name the strongest checks performed.
From paulorsv01/agents, MIT.
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Signals
- Stars
- 0
- Forks
- 0
- Open issues
- 0
- Last commit (this folder)
- Sep 24, 2026 (1 month ago)
From GitHub (fetched Oct 24, 2026).
Details
- License
- MIT
- Repository
- github.com/paulorsv01/agents
- First seen
- Oct 24, 2026
- Last checked
- Oct 24, 2026
- Source
- GitHubgithub-graphql
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Read a Figma design offline from a .fig export — layer tree, copy, component properties, layout, colors, design-token names, and original vector or raster…
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deep-review
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Run independent correctness and maintainability audits, then synthesize one evidence-backed verdict.
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Define domain terminology or record architectural decisions when the user requests domain modeling or decision documentation.
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Investigate bugs with uncertain causes, intermittent failures, or performance regressions using reproducible evidence.
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Design or review command-line interfaces for reliable agent use.
SkillBFreshness: BClaude Code +9 - 0.521score
clean-code
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Remove AI-generated code slop from the current diff while preserving behavior.
SkillBFreshness: BClaude Code +9
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Cite this page
maintainability-review skill. Agent Mart. https://agentmart.dev/skills/paulorsv01-maintainability-review (last updated 2026-10-24)