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 skills add krmcbride/claude-plugins --skill code-cleanupgit clone --depth 1 https://github.com/krmcbride/claude-pluginsWrote 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/krmcbride/claude-plugins/code-cleanup)<a href="https://agentmods.dev/skills/krmcbride/claude-plugins/code-cleanup"><img src="https://agentmods.dev/badge/skills/krmcbride/claude-plugins/code-cleanup/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/krmcbride/claude-plugins/code-cleanup"><img src="https://agentmods.dev/badge/skills/krmcbride/claude-plugins/code-cleanup.svg" alt="Reviewed on agentmods" width="80" height="20"></a>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 | $0.00049 | $0.00235 |
| Opus 5.5 | $0.00020 | $0.00094 |
| Sonnet 5.5 | $0.00010 | $0.00047 |
| Haiku 4.5 | $0.00005 | $0.00023 |
Grade A, and why
code-cleanup 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.
What it actually says
Delegate to Code Janitor
When you encounter repetitive, mechanical code tasks, launch the code-janitor agent instead of doing the work yourself to preserve context.
Delegate When:
- Fixing multiple linting errors across files
- Renaming variables/functions consistently across codebase
- Updating import statements in multiple files
- Fixing formatting or style violations throughout project
- Resolving IDE diagnostics in batch
- Bulk refactoring that doesn't require design decisions
Keep in Main When:
- Task requires architectural decisions
- Single file with 1-2 changes
- User explicitly wants you to do it
How:
Use Task tool with subagent_type: "essentials:code-janitor" providing task description and scope.
The code-janitor agent uses TodoWrite to track work, iterates until complete, and verifies with linters.
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 · 30 lines · 49 tokens per session scan A 9cb7fa4e4fbc
code-cleanup is a skill published in the GitHub repository krmcbride/claude-plugins (3 stars, last pushed 9mo ago), licensed MIT. It adds 49 tokens to every session and 235 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
debug-optimize-lcp
Guides debugging and optimizing Largest Contentful Paint (LCP) using Chrome DevTools MCP tools. Use this skill whenever the user asks about LCP performance, slow page loads, Core Web Vitals optimization, or wants to understand why their page's main content takes too long to appear. Also use when the user mentions…
systematic-debugging
Use when debugging a failing test, build error, or runtime issue that isn't immediately obvious. Guides a 4-phase root cause analysis instead of random fix attempts.
log-error-digest
Analyze log files to troubleshoot errors, identify peak error periods, and produce error clustering, frequency statistics, and time distribution reports. Supports JSON, syslog, and Nginx formats with automatic detection. Use when a user uploads a .log file and asks to analyze errors, find patterns, debug issues, or…
deck-retro
Run a fully local agent-deck retrospective over the user's own transcripts, Recall index and logs. Use when a user wants to find recurring failures or take their own finding from investigation through synthetic reproduction, a user-filed issue, a test-first fix and contributor PR handoff. Also use for weekly usage…
incident-response-incident-response
Coordinate production incident triage, mitigation, investigation, recovery, and follow-up. Use when responding to outages or other incidents that require structured operational coordination.
cwv-optimizer
Diagnose and fix Core Web Vitals issues on AEM Edge Delivery Services pages. Goes deeper than generic CWV advice by understanding EDS-specific performance patterns including the 100KB LCP budget, E-L-D loading phases, block rendering behavior, and third-party script impact. Produces specific fixes for LCP, CLS, and…