Dropbox AI Plugins is a repository of integration files for using Dropbox with Claude, OpenAI Codex, and Cursor through MCP host components, which let coding agents access defined external tools. It is for configuring those agents and managing their Dropbox OAuth authentication scopes. The catalogue entries are the agent-specific plugin artifacts and shared material stored in the repository.
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 dropbox/dropbox-ai-plugins --skill upload-to-dropboxgit clone --depth 1 https://github.com/dropbox/dropbox-ai-pluginsWrote 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/dropbox/dropbox-ai-plugins/upload-to-dropbox)<a href="https://agentmods.dev/skills/dropbox/dropbox-ai-plugins/upload-to-dropbox"><img src="https://agentmods.dev/badge/skills/dropbox/dropbox-ai-plugins/upload-to-dropbox/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/dropbox/dropbox-ai-plugins/upload-to-dropbox"><img src="https://agentmods.dev/badge/skills/dropbox/dropbox-ai-plugins/upload-to-dropbox.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 | $0.00050 | $0.00778 |
| Opus 5 | $0.00025 | $0.00389 |
| Sonnet 5 | $0.00010 | $0.00156 |
| Haiku 4.5 | $0.00005 | $0.00078 |
Grade A, and why
upload-to-dropbox 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 today.
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 — 85 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Upload to Dropbox
Use this skill to save generated content or upload files to Dropbox.
Tools
upload_filecreate_folderlist_foldersearchget_file_metadata
Workflow
- Identify what content needs to be saved or uploaded to Dropbox.
- Determine the target destination folder path.
- If the destination is ambiguous or not specified, ask the user to confirm the target location.
- Use
searchorlist_folderto verify the destination folder exists and is accessible. - If the destination folder does not exist, ask the user whether to create it before proceeding.
- Use
create_folderonly after explicit confirmation when a new folder is needed. - Determine the target filename. If not specified, suggest a descriptive filename with appropriate extension based on content type.
- Check if a file with the same name already exists at the destination using
get_file_metadata. - If a file exists, ask the user whether to overwrite, create a new version, or use a different filename.
- Before calling
upload_file, confirm the exact destination path, filename, and content summary with the user. - After successful upload, report the file path and offer to create a shared link if appropriate.
Confirmation Required
Before creating a file, confirm:
- Exact destination folder path
- Target filename and extension
- Content type and summary of what will be saved
- Handling of naming conflicts if a file already exists
- Whether the destination folder should be created if it does not exist
Before creating a destination folder, confirm:
- Exact folder path
- Whether parent folders already exist
- That the folder is not a team root or the user's personal root without a child folder
Output
After a successful upload, return:
- Full file path in Dropbox
- Filename and file size when available
- Confirmation that the file was created or updated
- Whether any folders were created as part of the operation
- Offer to create a shared link or perform additional actions
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.
- today First seen · 85 lines · 50 tokens per session scan A 30218697f4a7
upload-to-dropbox is a skill published in the GitHub repository dropbox/dropbox-ai-plugins (4 stars, last pushed today), licensed Apache-2.0. It adds 50 tokens to every session and 778 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 2026-09-12.
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