Getting it into your agent
One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.
npx agentmods add agents/muhiminosim/code-refactoring-skill/cursorgit clone --depth 1 https://github.com/MuhiminOsim/code-refactoring-skillWhat 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 | $0.00000 | $0.00307 |
| Opus 5 | $0.00000 | $0.00153 |
| Sonnet 5 | $0.00000 | $0.00061 |
| Haiku 4.5 | $0.00000 | $0.00031 |
Grade A, and why
cursor scanned grade A with 1 finding 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 yesterday.
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.
Makes network callslowCapability
Not a fault in itself. Listed so you know the mod talks to something, and to what.
curl -o .cursor/rules/refactor.mdc \ What it actually says
Setup: Cursor
Two options — project-scoped rules or global rules.
Option A: Project Rules (recommended)
Create .cursor/rules/refactor.mdc in your project root:
mkdir -p .cursor/rules
curl -o .cursor/rules/refactor.mdc \
https://raw.githubusercontent.com/MuhiminOsim/code-refactoring-skill/main/PROMPT.md
Cursor automatically loads .cursor/rules/*.mdc for every conversation in that project.
Option B: Global Rules
- Open Cursor → Settings → General → Rules for AI
- Paste the contents of
PROMPT.mdinto the rules field - The skill is now active for all projects
Usage
Trigger with any natural phrase:
- "Refactor this function"
- "This is too long, clean it up"
- "Extract the discount logic"
- "Replace these callbacks with async/await"
Cursor will run the 5-phase process: read → diagnose → plan → execute (with tests) → summarize.
With Reference Files
For the full knowledge base (Cursor supports @file references):
# Clone into your project or a shared location
git clone https://github.com/MuhiminOsim/code-refactoring-skill .cursor/refactor-skill
Then in conversation: @.cursor/refactor-skill/references/catalog-composing.md to pull in specific catalog sections.
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.
- yesterday First seen · 43 lines · 0 tokens per session scan A e58c23f4dbfd
cursor is an agent published in the GitHub repository MuhiminOsim/code-refactoring-skill (5 stars, last pushed 3mo ago), licensed MIT. It costs nothing until one of its globs matches a file; then it loads 307 tokens. A static security scan graded it A with 1 finding (makes network calls). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-31.
Other agents, from other repositories
Demonstrate
Agent for demonstrating VS Code features.
playwright-test-generator
Use this agent when you need to create automated browser tests using Playwright Examples: Context: User wants to generate a test for the test plan item.
.NET-Notebook-Migration-Agent
Expert .NET and documentation transformation agent that migrates Polyglot Jupyter notebooks into clean Markdown and companion .NET sample code.
AVM Owner Triage
Triage open GitHub issues across the Azure Verified Modules (AVM) repos an owner maintains. Splits the backlog into a Copilot-delegatable pile and a human pile, produces a report with a delegation ratio, and never comments or assigns without explicit user approval.
Ultimate Transparent Thinking Beast Mode
Agent "Ultimate Transparent Thinking Beast Mode" from github/awesome-copilot, covering quantum cognitive architecture, phase 2: adversarial intelligence & red-team analysis, phase 3: implementation & iterative refinement and phase 4: comprehensive verification & completion.
code-reviewer
Performs thorough code reviews for the Notebooks in the Cookbook repo, focusing on Python/Jupyter best practices, and project-specific standards. Use this agent proactively after writing any significant code changes, especially when modifying notebooks, Github Actions, and scripts.