Borrowing it
Nothing to install: this file belongs to banshee-data/velocity.report. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.
curl -O https://raw.githubusercontent.com/banshee-data/velocity.report/main/.claude/skills/free-space/SKILL.mdgit clone --depth 1 https://github.com/banshee-data/velocity.reportWrote 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/banshee-data/velocity.report/free-space)<a href="https://agentmods.dev/skills/banshee-data/velocity.report/free-space"><img src="https://agentmods.dev/badge/skills/banshee-data/velocity.report/free-space/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/banshee-data/velocity.report/free-space"><img src="https://agentmods.dev/badge/skills/banshee-data/velocity.report/free-space.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 | $0.00042 | $0.01109 |
| Opus 5.5 | $0.00017 | $0.00444 |
| Sonnet 5.5 | $0.00008 | $0.00222 |
| Haiku 4.5 | $0.00004 | $0.00111 |
Grade C, and why
free-space 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 19d 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.
result, and let the user run the real thing. Do not run `rm -rf` yourself. How it starts
The opening of the file, as written. The whole thing — 100 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Skill: free-space
Survey the internal disk and the lidar volume, then propose a short, reviewable list of
moves to the NAS (arrow.local). The scan never changes anything. Copies come second, and
deleting originals is always the user's step.
Usage
/free-space
/free-space --min-mb 500
Procedure
1. Scan
scripts/free-space-scan.sh # threshold 1000 MB
scripts/free-space-scan.sh --min-mb 500 # pass the skill's --min-mb through unchanged
It reports free space, NAS mount state, large items under the home folder, ~/Library,
~/code, the lidar volume, idle git worktrees (scripts/worktree-sweep.sh, dry run) and
files over 1 GiB. Each candidate carries a class, a suggested destination and whether a
verified NAS copy is already on record.
The record check is a name match against validate_*.txt, so it can be wrong both ways: a
similarly named folder can match a different tree, and a tree copied under another name shows
"no PASS record". Treat it as a lead and confirm against the manifests before proposing deletion.
If a NAS share is missing, the scan prints the remount command. Do not start copies until all three shares are mounted.
2. Sort candidates into four groups
| Group | What | Action |
|---|---|---|
| Regenerable | build caches, DerivedData, node_modules, .gocache, logs |
Propose deletion (the user runs it) |
| Worktrees | idle agent worktrees | scripts/worktree-sweep.sh dry run, then the user runs it with --apply |
| NAS-bound | captures -> banshee-captures, results -> banshee-results, media -> media |
Copy, verify, then hand over a guarded delete |
| Review | anything else | Ask; never guess |
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.
- 19d ago First seen · 100 lines · 42 tokens per session scan C 220d061e4284
free-space is a skill published in the GitHub repository banshee-data/velocity.report (11 stars, last pushed today), licensed Apache-2.0. It adds 42 tokens to every session and 1,109 once invoked, about $0.0002 per session on Opus 5.5. 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 2026-10-18.
free-space compared with skills from other repositories
| Mod | Type | Stars | Last push | Licence | Scan | Tokens | Works with |
|---|---|---|---|---|---|---|---|
| free-spacebanshee-data/velocity.report | Skill | 11 | today | Apache-2.0 | C | 42 | Claude Code |
| orbit-notionnexu-io/open-design | Skill | 106k | yesterday | Apache-2.0 | A | 117 | Claude Code, Codex |
| agentmailpaperclipai/paperclip | Skill | 111k | yesterday | MIT | A | 30 | Claude Code, Codex |
| Cortexdanielmiessler/LifeOS | Skill | 20k | yesterday | MIT | A | 184 | Claude Code |
| rowboat-spacesrowboatlabs/rowboat | Skill | 18k | yesterday | Apache-2.0 | A | 60 | Claude Code, Codex |
| feishuHmbown/CodeWhale | Skill | 41k | 5d ago | MIT | A | 33 | Claude Code, Codex |
| mochi-remindkirodotdev/KiroCrew | Skill | 4.8k | yesterday | Apache-2.0 | A | 20 | Claude Code, Codex |