clean-up-dropbox-content

clean-up-dropbox-content is a skill for Claude Code from dropbox/dropbox-ai-plugins. It costs 47 tokens per session (617 once invoked), scanned A, original, Apache-2.0.

A careful workflow for cleaning files in Dropbox. It identifies obsolete, duplicate, temporary, or unwanted content and requires review before deleting anything.

In plain words
What is it for?
Use it to review and remove selected Dropbox files or folders, check metadata and shared links, preserve copies when requested, and monitor copy or deletion jobs.
Why use it?
It reduces the risk of deleting the wrong files or affecting shared content. It also records what was copied, deleted, skipped, or left pending.

Skill for Claude Code

Written for Claude Code: disable-model-invocation in frontmatter.

Part of the claude plugin — 6 skills, 1 MCP server shipped together

Install

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.

agentmods
npx agentmods add skills/dropbox/dropbox-ai-plugins/clean-up-dropbox-content
Any agent
npx skills add dropbox/dropbox-ai-plugins --skill clean-up-dropbox-content
Clone the repo
git clone --depth 1 https://github.com/dropbox/dropbox-ai-plugins

Made for: Claude Code.

Or install claude, the plugin that ships this one along with the rest of its 6 skills, 1 MCP server.

Wrote 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.

agentmods badge for clean-up-dropbox-content

README.md
[![agentmods](https://agentmods.dev/badge/skills/dropbox/dropbox-ai-plugins/clean-up-dropbox-content.svg)](https://agentmods.dev/skills/dropbox/dropbox-ai-plugins/clean-up-dropbox-content)
Your own site
<a href="https://agentmods.dev/skills/dropbox/dropbox-ai-plugins/clean-up-dropbox-content"><img src="https://agentmods.dev/badge/skills/dropbox/dropbox-ai-plugins/clean-up-dropbox-content.svg" alt="Measured on agentmods" height="20"></a>
Per session 47 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 617 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. Scan, not verified.
Origin original No closer match found in the catalogue.
Token cost

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.

ModelPer sessionOnce invoked
Fable 5.1 $0.00047 $0.00617
Opus 5 $0.00023 $0.00309
Sonnet 5 $0.00009 $0.00123
Haiku 4.5 $0.00005 $0.00062

Measured 6d ago against content hash 43f8defb8d90, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-05, from the pricing page.

Security

Grade A, and why

clean-up-dropbox-content 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.

claude/skills/clean-up-dropbox-content/SKILL.md · 79 lines

How it starts

The opening of the file, as written. The whole thing — 79 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Clean Up Dropbox Content

Use this skill for careful deletion workflows in Dropbox.

Tools

  • search
  • list_folder
  • get_file_metadata
  • list_shared_links
  • copy
  • delete
  • check_job_status

Workflow

  1. Confirm the cleanup goal and scope.
  2. Use search or list_folder to identify candidate content.
  3. Use get_file_metadata to verify each deletion candidate.
  4. Use list_shared_links when deleting shared content could affect others.
  5. If the user may need rollback context, explain that the current Dropbox MCP tools do not expose revision listing or restore operations.
  6. If the user wants to preserve a copy first, confirm the exact destination, call copy, and use check_job_status for any asynchronous copy job until it completes successfully.
  7. After any requested copy has completed successfully, present a deletion review list and ask for explicit confirmation.
  8. Call delete only for the exact confirmed items.
  9. Use check_job_status for any asynchronous copy or deletion job until it completes or must be reported as pending.
  10. Report every copied, deleted, skipped, pending, or failed item.

Confirmation Required

Before deleting anything, confirm:

  • Exact paths or stable identifiers
  • Whether each item is a file or folder
  • Whether the item appears shared
  • Why it is safe to delete
  • Exact copy destination, if the user wants to preserve a copy first

Output

Before deletion, present:

  • Candidate path
  • Type
  • Modified time when available
  • Sharing status when relevant
  • Copy destination when preserving a copy first
  • Reason it appears safe to delete

After deletion, present:

  • Copied items when relevant
  • Deleted items
  • Pending items and job status when relevant
  • Failed items and reason
  • Items skipped because they were ambiguous or risky

Safety

Never delete based only on a broad pattern like "old files" or "duplicates" without listing exact targets. Never delete a parent folder when the user confirmed only child files. If confidence is not high, stop and ask the user to choose.

Read the full file on GitHub · 79 lines

Changes

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.

  1. 6d ago First seen · 79 lines · 47 tokens per session scan A 43f8defb8d90

Subscribe to this mod's changes

clean-up-dropbox-content is a skill published in the GitHub repository dropbox/dropbox-ai-plugins (4 stars, last pushed 10d ago), licensed Apache-2.0. It adds 47 tokens to every session and 617 once invoked, about $0.0002 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.