Borrowing it
Nothing to install: this file belongs to Smart-AI-Memory/attune-ai. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.
curl -O https://raw.githubusercontent.com/Smart-AI-Memory/attune-ai/main/.agents/skills/refactor-plan/SKILL.mdgit clone --depth 1 https://github.com/Smart-AI-Memory/attune-aiWrote this? Show the measurements
A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.
[](https://agentmods.dev/skills/smart-ai-memory/attune-ai/refactor-plan)<a href="https://agentmods.dev/skills/smart-ai-memory/attune-ai/refactor-plan"><img src="https://agentmods.dev/badge/skills/smart-ai-memory/attune-ai/refactor-plan/github.svg" alt="Measured on agentmods" height="20"></a>Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.
<a href="https://agentmods.dev/skills/smart-ai-memory/attune-ai/refactor-plan"><img src="https://agentmods.dev/badge/skills/smart-ai-memory/attune-ai/refactor-plan.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector pass
What it costs to keep this loaded
Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5.1 | $0.00041 | $0.00604 |
| Opus 5.5 | $0.00016 | $0.00242 |
| Sonnet 5.5 | $0.00008 | $0.00121 |
| Haiku 4.5 | $0.00004 | $0.00060 |
Grade A, and why
refactor-plan scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 1mo ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Nothing flagged
None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.
How it starts
The opening of the file, as written. The whole thing — 91 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Refactor Planning
IMPORTANT: Start your response with a context preamble.
Call help_lookup(topic="refactor-plan", mode="preamble") and
display the returned preamble text as a blockquote. Then
tell the user they can say "tell me more" for a step-by-step
guide, or answer the scoping questions below to proceed.
If the MCP call fails, fall back to:
Refactor Plan — Analyzes code structure and produces a prioritized refactoring roadmap.
Scoping
Before running, ask:
- Target: "Which file or directory needs refactoring analysis?"
- Focus: "Full analysis or specific concern?"
- Full:
refactor_plan(all areas) - Simplify:
simplify_code(reduce complexity only)
- Full:
- Depth: "Quick scan or detailed roadmap?"
Execution
Based on scope:
- Full analysis:
refactor_plan(path="<target>") - Simplify only:
simplify_code(path="<target>")
Or via CLI:
attune workflow run refactor-plan --path <target>
MCP Tools
| Tool | What It Does |
|---|---|
refactor_plan |
Tech debt analysis and refactoring roadmap |
simplify_code |
Reduce complexity in specific files |
refactor_plan
Full refactoring analysis for a path.
refactor_plan(path="<target>")
simplify_code
Targeted complexity reduction for a single file or module. Flattens nested conditionals, inlines trivial helpers, removes dead code.
simplify_code(path="<target file>")
Analysis Areas
- Code Smells: Long methods, god classes, feature envy
- Duplication: Copy-paste detection, DRY violations
- Complexity: High cyclomatic complexity, deep nesting
- Coupling: Tight dependencies, circular imports
- Naming: Unclear or inconsistent naming
Output
Prefer the rich panel. If the tool response includes panel_html,
pass it to mcp__visualize__show_widget — the universal report panel
(title, score, findings/category sections; from
attune.workflows.report_panel). It shows an explicit "did not
complete" state on failure, never a false "clean". Fall back to the
markdown below when the widget surface is unavailable.
What this file has done since we first saw it
Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.
- 1mo ago First seen · 91 lines · 41 tokens per session scan A 793a28a0663e
refactor-plan is a skill published in the GitHub repository Smart-AI-Memory/attune-ai (10 stars, last pushed today), licensed Apache-2.0. It adds 41 tokens to every session and 604 once invoked, about $0.0002 per session on Opus 5.5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-31.
Other skills, from other repositories
tmux
Manage long-running shell sessions with tmux — start a detached session, run a long task, reattach later, capture output. Use when a task takes longer than a single tool call (build, test, log tail).
lynkr
Universal LLM gateway with intelligent routing, Graphify code intelligence, Distill compression, routing telemetry, Code Mode, and 12+ provider support. 60-80% cost reduction for Claude Code, Cursor, and Codex.
web-research
Use this skill for requests related to web research; it provides a structured approach to conducting comprehensive web research.
avalon-8-10p
Eight-to-ten-player Avalon rules for a permanent Agent host, with the user choosing to join the randomized player pool or spectate.
pptx
Instructions for reading, creating, and editing PowerPoint presentation files and templates, including .pptx, .potx, and older .ppt files. They cover text, tables, images, charts, layouts, and speaker notes.
docx
Instructions for safely reading, creating, and editing Microsoft Word documents and templates, including tables, images, comments, and tracked changes.