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 OneWave-AI/claude-skills --skill cowork-folder-organizergit clone --depth 1 https://github.com/OneWave-AI/claude-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/onewave-ai/claude-skills/cowork-folder-organizer)<a href="https://agentmods.dev/skills/onewave-ai/claude-skills/cowork-folder-organizer"><img src="https://agentmods.dev/badge/skills/onewave-ai/claude-skills/cowork-folder-organizer/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/onewave-ai/claude-skills/cowork-folder-organizer"><img src="https://agentmods.dev/badge/skills/onewave-ai/claude-skills/cowork-folder-organizer.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector warn
SkillSpector: 1 finding, up to medium
These are SkillSpector’s own severities. On a checked sample its high-severity flags on skills were ~96% false positives — a documented command, a public API, a “never do X” rule — so we show them as a caution to read, not a verdict. Why →
- medium Data Exfiltration · line 18 Code scans file system directories looking for sensitive files. This could be reconnaissance for credential theft.Fix: Remove unnecessary filesystem scanning. If file access is needed, use explicit, scoped paths. Avoid reading ~/.ssh, ~/.aws, or credential directories.
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 | $0.00058 | $0.00783 |
| Opus 5 | $0.00029 | $0.00392 |
| Sonnet 5 | $0.00012 | $0.00157 |
| Haiku 4.5 | $0.00006 | $0.00078 |
Grade A, and why
cowork-folder-organizer scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 12d ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Nothing flagged
None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.
How it starts
The opening of the file, as written. The whole thing — 44 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Cowork Folder Organizer
Turn a chaotic folder into an organized, navigable workspace the way Claude Cowork works through a directory: inventory everything first, propose before moving, then execute with a full undo trail. Never destroy information -- every move is logged and reversible.
Input
Take a directory path. If none is provided, ask for one. Confirm scope before touching anything: subdirectories included or not, and whether any paths are off-limits.
Workflow
- Inventory. Walk the directory. For every file record name, extension, size, modified date, and a one-line content summary (read headers/first lines for documents, metadata for media). Do not open files larger than 50MB; classify by name and type only.
- Classify. Group files into categories inferred from the actual contents -- not a generic template. Typical clusters: active project files, reference material, financial documents, contracts, media/assets, installers and archives, duplicates, junk (temp files,
~$locks, empty files). - Detect duplicates. Match by checksum first, then by near-identical names with version suffixes (
final,final2,v3,(1)). Identify the canonical copy (newest complete version) and mark the rest. - Propose. Present the target folder tree, the naming convention (default:
YYYY-MM-DD-descriptive-name.extfor dated documents,client-project-doctypefor client work), the duplicate resolution list, and the junk list. Wait for approval before moving anything. - Execute. Create the structure, move and rename files, quarantine duplicates and junk into
_review-before-deleting/-- never delete outright. Log every operation asold-path -> new-pathin_organizer-log.md. - Index. Write
INDEX.mdat the root: the new tree, what lives where, and a table of the 20 most recently active files so the owner can re-orient instantly.
Rules
- Propose first, move second. Never reorganize without showing the plan.
- Never delete. Quarantine to
_review-before-deleting/and let the human pull the trigger. - Preserve anything that looks like the only copy of original work (contracts, signed PDFs, raw footage) in place if its location seems intentional.
- Keep names human-readable. No hash suffixes, no ALL_CAPS, no spaces-to-underscores churn on files that are already well named.
- If the folder is a shared drive, flag files other people may have links to before renaming them.
- Report at the end: files processed, moved, renamed, duplicates found, space reclaimable.
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.
- 12d ago First seen · 44 lines · 58 tokens per session scan A fbb2e3220d62
cowork-folder-organizer is a skill published in the GitHub repository OneWave-AI/claude-skills (291 stars, last pushed 1mo ago), licensed MIT. It adds 58 tokens to every session and 783 once invoked, about $0.0003 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 2026-08-30.
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