databox-data-sources
Use when the user wants to create, manage, or inspect Databox data sources — including timezone, sync frequency, permissions, and purging.
Skill by databox
Install
Works with Claude Code, Claude apps, Codex, Cursor, Gemini CLI, GitHub Copilot, VS Code, OpenCode, Goose, Windsurf. Read the repository before you give any tool access to your data.
npx agentmarket install skill/databox-databox-data-sources
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About
Use cases: data
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What this skill can do and what it asks for, from its SKILL.md. Checked Oct 25, 2026.
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Network hosts it talks to 1
codeload.github.com· found in install command
Files it touches
~/.claude/skills/databox-data-sources
What's inside
- Skill name
databox-data-sources- Description
- Use when the user wants to create, manage, or inspect Databox data sources — including timezone, sync frequency, permissions, and purging. Triggers on mentions of data source creation, deletion, configuration, or management in Databox.
- License
- MIT
- Instructions
- 74 lines in SKILL.md · view on GitHub
Files (1)
- SKILL.md
SKILL.md (first lines)
# Databox Data Source Management
Full data source lifecycle — list, create, configure, and delete — via the `databox` CLI.
## Prerequisites
Must be authenticated. If not, use the `databox-auth` skill first.
## Required Role
The API applies the Databox app's role rules, checked in the organization or account that owns the data source:
- Reads (`list`, `get`, `permissions`, `datasets`, `sync-frequency-options`): anyone with access.
- `create`, `update`, `set-sync-frequency`: Admin, User or Editor. A Viewer can only read.
- `delete`, `purge`, `set-timezone` (with or without `--purge-data`), `set-permissions`, and `dataset create` on this data source: an admin, or the user who created the data source.
A refusal is `forbidden` (exit 1) and nothing is changed. Do not retry it: tell the user which role the command needs, so an admin or the creator can run it.
## Quick Reference
| Task | Command |
|------|---------|
| List data sources | `databox data-source list` |
| Search data sources | `databox data-source list --search "analytics"` |
| Get data source details | `databox data-source get ID` |
| Create data source | `databox data-source create --name "Name"` |
| Create with key | `databox data-source create --name "Name" --integration-key Datadoo` |
| Update name | `databox data-source update ID --name "New Name"` |
| Set timezone | `databox data-source set-timezone ID --timezone "US/Eastern"` |
| Set timezone for its datasets too | `databox data-source set-timezone ID --timezone "US/Eastern" --apply-to-datasets` |
| View sync frequency options | `databox data-source sync-frequency-options ID` |
| Set sync frequency | `databox data-source set-sync-frequency ID --interval 60` |
| View permissions | `databox data-source permissions ID` |
| Set permissions | `databox data-source set-permissions ID --access-level everyone` |
| Restrict to some users | `databox data-source set-permissions ID --access-level selectedUsers --access-list 31 --access-list 42` |
| List linked datasets | `databox data-source datasets ID` |
| Purge all data | `databox data-source purge ID --force` |
| Delete data source | `databox data-source delete ID --force` |
## Common Workflow: Set Up a New Data Source
```bash
# 1. Create a data source
databox data-source create --name "My API Data" --timezone "UTC" --json
# Returns: {"id": 42, ...}
# 2. Create a dataset under it
databox dataset create --name "Daily Metrics" --data-source-id 42
# 3. Push data
databox dataset ingest 67890 --file data.json
```
## Sync Frequency
`--interval` is in minutes: `1`, `15`, `60`, `240`, `360`, `480` or `1440`. Run `data-source sync-frequency-options ID` first to see which intervals the data source can use and which your plan includes. `set-sync-frequency` and `set-timezone` print a confirmation; with `--json` they print the updated data source.
## Permissions
`--access-level` is `everyone`, `selectedUsers` or `private`. `--access-list USER_ID` (repeatable) is only accepted with `selectedUsers`, and each ID must be a user of the organization or already on the list; any other is rejected with `invalid_input` naming it, and nothing changes. Admins and the organization owner always keep access.
## Destructive Operations
These commands prompt for confirmation at a terminal. Off a terminal (scripts, agents) they read the answer from stdin instead, and when nothing is piped they exit 2 without doing anything. Agents should always pass `--force`:
- `data-source delete` — removes the data source entirely
- `data-source purge` — removes all data but keeps the data source
## Notes
- All commands support `--json` for machine-readable output
- Data source IDs are numeric (e.g., `42`). Find one with `databox data-source list`; in the Databox app it is the number in the Data Manager page URL (`/data-manager/connected/42/datasets/view`). A data source ID is not a dataset ID: list its datasets with `databox data-source datasets 42`.
- The `--integration-key` flag on create sets the integration key for third-party integrations (e.g., Datadoo)From databox/databox-cli, MIT.
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Signals
- Stars
- 0
- Forks
- 1
- Open issues
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- Last commit (this folder)
- Sep 28, 2026 (1 month ago)
From GitHub (fetched Oct 24, 2026).
Details
- License
- MIT
- Repository
- github.com/databox/databox-cli
- First seen
- Oct 24, 2026
- Last checked
- Oct 24, 2026
- Source
- GitHubgithub-graphql
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Cite this page
databox-data-sources skill. Agent Mart. https://agentmart.dev/skills/databox-databox-data-sources (last updated 2026-10-24)