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 WhiteMinds/disk-space-analyzer-skill --skill disk-space-analyzergit clone --depth 1 https://github.com/WhiteMinds/disk-space-analyzer-skillWrote 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/whiteminds/disk-space-analyzer-skill/disk-space-analyzer)<a href="https://agentmods.dev/skills/whiteminds/disk-space-analyzer-skill/disk-space-analyzer"><img src="https://agentmods.dev/badge/skills/whiteminds/disk-space-analyzer-skill/disk-space-analyzer.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 | $0.00076 | $0.00348 |
| Opus 5 | $0.00038 | $0.00174 |
| Sonnet 5 | $0.00015 | $0.00070 |
| Haiku 4.5 | $0.00008 | $0.00035 |
Grade A, and why
disk-space-analyzer 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 6d 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
Disk Space Analyzer
Analyze disk space usage and identify files that can be safely cleaned. Data source and scripts differ by OS — do not reuse Windows scripts on macOS or vice versa.
First: determine the current operating system, then follow the workflow for that system only.
System check
Before any workflow steps, determine the OS:
- Windows:
sys.platform == "win32"or user is on Windows. - macOS:
sys.platform == "darwin"or user is on Mac.
You can run:
python3 -c "import sys; print(sys.platform)"
(win32 → Windows, darwin → macOS)
Next steps by system
- If Windows → Read and follow docs/windows.md for the full workflow (WizTree, scripts in
scripts/windows/, analysis commands). - If macOS → Read and follow docs/macos.md for the full workflow (different data source and scripts; no WizTree).
Do not mix: Windows workflow uses scripts/windows/ (WizTree + CSV analysis). macOS workflow uses its own data source and scripts as described in docs/macos.md.
What ships with it
9 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.
- commands/disk-space-analyzer.md 472 B
- docs/macos.md 10.0 KB
- docs/windows.md 8.4 KB
- scripts/macos/analyze_disk.py 19 KB runs code
- scripts/macos/list_volumes.py 2.7 KB runs code
- scripts/macos/scan_disk.py 7.6 KB runs code
- scripts/windows/analyze_disk.py 22 KB runs code
- scripts/windows/find_wiztree.py 4.4 KB runs code
- scripts/windows/run_wiztree.py 4.8 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.
- 6d ago First seen · 31 lines · 76 tokens per session scan A 420402f7400d
disk-space-analyzer is a skill published in the GitHub repository WhiteMinds/disk-space-analyzer-skill (7 stars, last pushed 7mo ago), licensed MIT. It adds 76 tokens to every session and 348 once invoked, about $0.0004 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 skills, from other repositories
mix-compression
Reduce mix output noise (5-15% token savings) by installing rtk filters that compress mix test/credo/dialyzer/compile output before it reaches Claude. Use when long mix output floods context.
phx-mix-compression
Reduce mix output noise (5-15% token savings) by installing rtk filters that compress mix test/credo/dialyzer/compile output before it reaches Claude. Use when long mix output floods context.
quick
Implement small Phoenix changes without planning — add validations, update routes, fix components, create migrations. Use for single-file edits under 50 lines.
phx-freeze
Apply an advisory edit scope in this session. Use for read-only or directory-scoped work; no enforcement hook is installed.
freeze
Scope or freeze which files Claude can edit during debugging, a refactor, or review. Use when edits should stay in specific dirs, or for a read-only investigate lock. Backed by a sentinel + PreToolUse hook.
permissions
Recommend safe Bash permissions for Elixir mix commands in settings.json. Use when permission prompts slow workflow, "fix permissions", "reduce prompts", "auto-allow mix".