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 commands/carolanelfbv/ios-development-agents/cleanupgit clone --depth 1 https://github.com/CarolaneLFBV/ios-development-agentsWrote 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/commands/carolanelfbv/ios-development-agents/cleanup)<a href="https://agentmods.dev/commands/carolanelfbv/ios-development-agents/cleanup"><img src="https://agentmods.dev/badge/commands/carolanelfbv/ios-development-agents/cleanup.svg" alt="Measured on agentmods" 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 | $0.00016 | $0.00498 |
| Opus 5 | $0.00008 | $0.00249 |
| Sonnet 5 | $0.00003 | $0.00100 |
| Haiku 4.5 | $0.00002 | $0.00050 |
Grade A, and why
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 3d 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
/ios:cleanup - iOS Code Cleanup
Clean up $ARGUMENTS: dead code detection, unused resources, deprecated APIs.
Delegation
Spawn the swift-specialist (dead code, unused language constructs) and, for structural cleanup, the architecture-specialist via the Task tool. Consolidate their reports before applying with --fix.
Arguments
| Flag | Values | Default | Description |
|---|---|---|---|
--type |
dead-code|imports|resources|deprecated|all | all | Cleanup type |
--fix |
- | - | Automatically remove detected issues |
--report |
- | - | Generate detailed cleanup report |
--dry-run |
- | - | Show what would be cleaned |
--aggressive |
- | - | Include low-confidence detections |
Detection Types
| Type | Detects | Risk |
|---|---|---|
dead-code |
Unused methods, vars, types | Medium |
imports |
Unused import statements | Safe |
resources |
Unused assets, strings | Medium |
deprecated |
Deprecated API usage | Medium |
Safety Levels
- Safe: Formatting, naming, comments, unused imports
- Medium: Private unused methods, orphaned internal types
- High: Public API removal, resource deletion
Examples
# Full project cleanup scan
/ios:cleanup . --report
# Fix unused imports only
/ios:cleanup Sources/ --type imports --fix
# Dead code detection with dry run
/ios:cleanup . --type dead-code --dry-run
# Resource cleanup
/ios:cleanup . --type resources --report
Output
# Cleanup Report: [Target]
## Summary: Dead code | Unused imports | Resources | Deprecated
## Dead Code: File | Line | Type | Confidence
## Unused Imports: File | Import | Reason
## Actions Taken / Recommended
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.
- 3d ago First seen · 65 lines · 16 tokens per session scan A 41ae5b9e8d4c
cleanup is a command published in the GitHub repository CarolaneLFBV/ios-development-agents (7 stars, last pushed 1mo ago), licensed MIT. It adds 16 tokens to every session and 498 once invoked, about $0.0001 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.
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