Dart Query — independently scanned and version-tracked by SaferSkills.
SaferSkills independently audited Dart Query (Agent Skill) and scored it 100/100 (green). The audit ran 55 deterministic rules across Security, Supply Chain, Maintenance, Transparency, and Community; it found 0 high-severity and 0 lower-severity findings. The full rule-by-rule trace and per-finding evidence are below. Free, methodology-open.
Findings & checks · 0 flagged
Every scanned point with the score it earned and what moved between them.
First recorded scan — no prior version to compare against.
The primary manifest — the file an agent reads to learn what this artifact does.
MCP server for Dart AI task management, optimized for batch operations and minimal context usage.
Instead of looping through tasks one-by-one (filling your context window with intermediate JSON), dart-query uses DartQL selectors and server-side batch operations to update hundreds of tasks in a single call. A 50-task update that would normally consume ~30K tokens takes ~200 tokens with zero context rot.
Visit https://app.dartai.com/?settings=account and copy your token (starts with dsa_).
npx (recommended)
{
"mcpServers": {
"dart-query": {
"command": "npx",
"args": ["-y", "@standardbeagle/dart-query"],
"env": {
"DART_TOKEN": "dsa_your_token_here"
}
}
}
}SLOP-MCP (v0.10.0+)
slop register dart-query \
--command npx \
--args "-y" "@standardbeagle/dart-query" \
--env DART_TOKEN=dsa_your_token_here \
--scope userinfo({ level: "overview" })// Preview first
batch_update_tasks({
selector: "dartboard = 'Engineering' AND priority = 'high'",
updates: { status: "Doing" },
dry_run: true
})
// Execute
batch_update_tasks({
selector: "dartboard = 'Engineering' AND priority = 'high'",
updates: { status: "Doing" },
dry_run: false
})| Group | Tools | Purpose |
|---|---|---|
| Discovery | info, get_config | Explore capabilities, workspace config |
| Task CRUD | create_task, get_task, update_task, delete_task, add_task_comment | Single task operations |
| Query | list_tasks, search_tasks | Find tasks with filters or full-text search |
| Batch | batch_update_tasks, batch_delete_tasks, get_batch_status | Bulk operations with DartQL selectors |
| Import | import_tasks_csv | Bulk create from CSV with validation |
| Docs | list_docs, create_doc, get_doc, update_doc, delete_doc | Document management |
See [TOOLS.md](./TOOLS.md) for full parameter references, DartQL syntax, and CSV import format.
SQL-92 WHERE clause syntax for targeting tasks in batch operations:
dartboard = 'Engineering' AND priority = 'high' AND tags CONTAINS 'bug'
due_at < '2026-01-18' AND status <> 'Done'
title LIKE 'Task%' -- starts with
title LIKE '%auth%' -- contains substringOperators: =, !=, <>, >, >=, <, <=, LIKE, IN, NOT IN, BETWEEN, IS NULL, IS NOT NULL, CONTAINS Aliases: INCLUDES/HAS → CONTAINS · <> → != LIKE wildcards: % = any characters, _ = single character (case-insensitive)
All Dart AI operations are production (no sandbox). dart-query provides:
confirm: true) required for batch deletesMIT
~30 seconds. Free. No account. Every finding cites a rule and a line of evidence.