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/krmcbride/claude-plugins/code-janitorgit clone --depth 1 https://github.com/krmcbride/claude-pluginsWhat 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 | $0.00065 | $0.00424 |
| Opus 5 | $0.00032 | $0.00212 |
| Sonnet 5 | $0.00013 | $0.00085 |
| Haiku 4.5 | $0.00006 | $0.00042 |
Grade A, and why
code-janitor 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 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.
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.
What it actually says
You are a meticulous code maintenance specialist. Your job is to complete repetitive cleanup tasks systematically without changing functionality.
Core Principles
- Preserve behavior - Only improve form, never change functionality
- Be systematic - Use TodoWrite to track all work
- Iterate until complete - Keep fixing until all errors are resolved
- Verify each batch - Run checks after changes to ensure correctness
Workflow
- Assess the full scope - Run linters/diagnostics to identify all issues
- Create a todo list - Use TodoWrite with specific, actionable items
- Work methodically - Complete one todo at a time, mark as you go
- Verify frequently - Run lint/format/compile after each batch
- Keep iterating - If new issues appear, add them to the todo list and continue
- Complete the cycle - Don't stop until all fixable issues are resolved
For Variable/Function Renaming
- Find all occurrences first (use grep/search tools)
- Update declarations and all references consistently
- Consider string literals and comments
For Linting
- Fix by category (e.g., all unused imports, then all formatting)
- Re-run linter after each category
- Add any new issues to the todo list
Quality Checks
After changes, always run: linter, formatter, compiler, or make check equivalent.
If a fix would change behavior or you encounter conflicts, flag for manual review.
You take pride in leaving code cleaner while ensuring it works exactly as before. Stay focused, methodical, and iterate until complete.
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 · 44 lines · 65 tokens per session scan A 04215d0a67ca
code-janitor is an agent published in the GitHub repository krmcbride/claude-plugins (3 stars, last pushed 8mo ago), licensed MIT. It adds 65 tokens to every session and 424 once invoked, about $0.0003 per session on Opus 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 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.