Claude Code Skills Marketplace is a collection and marketplace of skills, plugins, agents, and instructions that extend Claude Code with specialized development workflows. It is for developers who want to install existing workflows or create, validate, and package their own Claude Code skills.
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 skills/daymade/claude-code-skills/macos-cleanernpx skills add daymade/claude-code-skills --skill macos-cleanergit clone --depth 1 https://github.com/daymade/claude-code-skillsWrote 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/daymade/claude-code-skills/macos-cleaner)<a href="https://agentmods.dev/skills/daymade/claude-code-skills/macos-cleaner"><img src="https://agentmods.dev/badge/skills/daymade/claude-code-skills/macos-cleaner.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 5.1 | $0.00131 | $0.04107 |
| Opus 5 | $0.00066 | $0.02054 |
| Sonnet 5 | $0.00026 | $0.00821 |
| Haiku 4.5 | $0.00013 | $0.00411 |
Grade C, and why
macos-cleaner scanned grade C 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 2d 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.
Recursive force deletehighDestructive command
rm -rf with a variable or a broad path is one typo away from removing the wrong tree.
7. **Avoid broad destructive shell forms.** Do not recommend or execute broad `rm -rf` or glob deletion. For exact approved ordinary files, prefer Finder Trash. The bundled legacy helper permanently deletes and has only How it starts
The opening of the file, as written. The whole thing — 228 lines — stays where its author put it; the contents beside it link to each section on GitHub.
macOS Cleaner
Diagnose the actual source of disk pressure, reclaim only approved space, and prove that the cleanup did not damage user data or co-resident services.
Entry router
Choose the narrowest path that can answer the request:
| User signal | Route |
|---|---|
Apple Content Caching, AssetCacheManagerUtil, CacheUsed, ActualCacheUsed, iCloud cache, or “Caching needs more space” |
Read references/apple_content_caching.md completely before probing or proposing commands |
| Docker, OrbStack, images, containers, or volumes | Read references/docker_analysis.md; inspect every object and never use prune-family commands |
| Docker build cache | Measure with docker builder du; this skill reports it but does not delete it because Docker exposes category-wide prune controls rather than per-record intent |
Chrome, ChromeDriver, Playwright, Codex Computer Use, Edge, or Chromium has large *.code_sign_clone directories |
Read references/chromium_code_sign_clones.md completely; use the bundled analyzer to separate active, inactive, and unknown exact children and never equate du with physical release |
| A named cache, directory, application, or service is already the suspect | Inspect that target first and read the matching semantics in references/cleanup_targets.md; do not start a home-directory or whole-disk scan |
| The source is genuinely unknown | Use the general analysis workflow below; Mole is optional, not the universal first step |
User-provided scope exclusions override every generic scan suggestion. Do not inspect personal directories, credentials, databases, application state, or unrelated services when the user excludes them.
Safety and authorization contract
- Separate observation from mutation. Complete a read-only diagnosis first. Do not delete, stop a service, edit settings, install or upgrade tools, or run a cleanup preview that may mutate state during that phase.
- Confirm the exact target. On a remote Mac, record the current host identity before any other work. Never infer the machine from an IP, old PID, directory name, or prior report.
- Plan before asking. Before any state change, list every command, what it changes, expected physical space reclaimed, impact, recoverability, and postconditions. Then stop if the user requested a plan-only phase.
- Require explicit approval. If the user supplies an exact confirmation phrase, require that phrase. Otherwise ask for unmistakable approval of the listed commands and targets. Approval for one plan does not authorize a fallback or a wider cleanup.
- Use precise supported controls. Prefer an application's supported cache-management command or an exact object ID. If no supported control exists, an exact application-owned cache directory may be removed only after verifying its owner, confirming the application is stopped or the directory is otherwise inactive, explaining rebuild/redownload impact, and receiving approval. Never target a broad cache root or active application state.
- Never use Docker prune-family commands. This includes image, container, volume, system, builder, and buildx prune. Category-wide deletion cannot express per-object user intent.
- Avoid broad destructive shell forms. Do not recommend or execute broad
rm -rfor glob deletion. For exact approved ordinary files, prefer Finder Trash. The bundled legacy helper permanently deletes and has only the limited guards documented below; never treat it as equivalent to Trash. - Preserve valuable state. Never target user documents, credentials, SSH material, active databases, application configuration, or running-service state merely to increase the reported savings. Read
references/safety_rules.mdbefore any file deletion. - Execution follows the user's authorization. If the user asks only for analysis or wants to run commands personally, hand off the commands. If the user asks the agent to fix the machine and explicitly confirms the scoped plan, execute the exact approved commands and verify them. Unattended recurring deletion logic needs separate approval before it is written or enabled.
- Fail fast. An unexpected non-zero command, a mismatched postcondition, an unexpected target, or a changed dependency stops the cleanup. Interpret documented probe statuses such as
lsofexit 1 with empty output before deciding they are failures. Report the partial state; do not improvise a fallback.
What ships with it
18 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.
- .security-scan-passed 187 B
- references/apple_content_caching.md 12 KB
- references/chromium_code_sign_clones.md 13 KB
- references/cleanup_targets.md 21 KB
- references/docker_analysis.md 15 KB
- references/mole_integration.md 18 KB
- references/report_templates.md 6.8 KB
- references/safety_rules.md 15 KB
- scripts/analyze_caches.py 6.8 KB runs code
- scripts/analyze_code_sign_clones.py 16 KB runs code
- scripts/analyze_dev_env.py 9.7 KB runs code
- scripts/analyze_large_files.py 7.2 KB runs code
- scripts/cleanup_report.py 8.5 KB runs code
- scripts/find_app_remnants.py 9.4 KB runs code
- scripts/safe_delete.py 11 KB runs code
- tests/test_analyze_code_sign_clones.py 11 KB runs code
- tests/test_cleanup_report.py 5.1 KB runs code
- tests/test_safe_delete.py 4.2 KB runs code
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.
- 2d ago Changed · +11 lines · +7 tokens per session ab35282f939a
- 6d ago First seen · 217 lines · 124 tokens per session scan C 2dd06264a3b3
macos-cleaner is a skill published in the GitHub repository daymade/claude-code-skills (1,377 stars, last pushed yesterday), licensed MIT. It adds 131 tokens to every session and 4,107 once invoked, about $0.0007 per session on Opus 5. A static security scan graded it C with 1 finding (recursive force delete). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.
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