io.github.dingdawg/dingdawg-data-agent
NPM · DINGDAWG-DATA-AGENT · SCANNED AUG 3
AI data agent — schema analysis, query optimization, PII detection, pipelines.
Available components
How this component scores in each security and reliability category. Every signal is checked automatically from public evidence about the published package, including repeated runs of it in an isolated sandbox, and we only credit what we can confirm. How we score →
Supply Chain Security86
- No malware found by supply-chain analysis.Pass
- Only part of the dependency tree could be resolved (94 of 98), so this covers what we could see, not the whole tree.Partial
- No install/post-install scripts declared.Pass
- Only part of the dependency tree could be resolved (94 of 98), so this covers what we could see, not the whole tree. View diagnostics → Partial
Provenance & Transparency45
- Source repository is publicly reachable at the declared URL. View diagnostics → Pass
- Provenance check failed: no build-provenance attestation is published. See how to fix → View diagnostics → Fail
- Clear OSI-approved license (MIT).Pass
- Actively maintained (last published 26 days ago).Pass
- Disclosure check failed: no security disclosure policy was found in the source repository. See how to fix → Fail
Schema Quality & AI Usability57
- AI-judged instruction clarity (fair).Partial
- Tool/resource definitions use about 329 tokens (~65/item across 5 items; 5 tools + 0 resources), lean.Pass
- Usage-examples check failed: none of the tools include examples. See how to fix → Fail
Stability & Change Management0
- Stability not yet verified: not enough scan history yet (needs a 30-day window).Unverified
Tool Coverage100
- 100% of tools have a non-trivial description (not blank, and not just the tool's name).Pass
- 100% of tool parameters carry a description.Pass
Capabilities100
- Implements a supported MCP spec version (2025-11-25); the latest is 2026-07-28.Pass
Unverified: 1 category
A category scored 0 because we could not verify it: a data source with nothing on this package, evidence we could not reach, or a check we could not run. We only credit what we can confirm.
Add this component to your MCP client. Where a client-specific snippet is available, pick your client below and copy it straight into your config; otherwise use the connection detail shown.
npm · dingdawg-data-agent
claude mcp add dingdawg-dingdawg-data-agent -- npx -y dingdawg-data-agent
codex mcp add dingdawg-dingdawg-data-agent -- npx -y dingdawg-data-agent
{
"$schema": "https://opencode.ai/config.json",
"mcp": {
"dingdawg-dingdawg-data-agent": {
"type": "local",
"command": [
"npx",
"-y",
"dingdawg-data-agent"
],
"enabled": true
}
}
} openclaw mcp add dingdawg-dingdawg-data-agent --command npx --arg -y --arg dingdawg-data-agent
mcp_servers:
dingdawg-dingdawg-data-agent:
command: "npx"
args: ["-y", "dingdawg-data-agent"] {
"mcpServers": {
"dingdawg-dingdawg-data-agent": {
"command": "npx",
"args": [
"-y",
"dingdawg-data-agent"
]
}
}
} Every change we have recorded for this component, newest first. Security-relevant changes are always shown. ▲ marks a change for the better, ▼ a change for the worse; unmarked changes are neutral.
- 2 Aug 26 +35
- Provenance: unverified → fail ▼ security
- Known CVEs: unverified → partial ▲ security
- Install scripts: unverified → pass ▲ security
- Malware scan: unverified → pass ▲ security
- Stability: Stability not yet verified: we do not have a sandbox capture of the MCP schema this version of the package serves yet. security
- Capabilities: pass → unverified ▼ functional
- Tool coverage: 100 → unverified ▼ functional
- Maintenance: unverified → pass ▲ functional
- Schema quality: unverified → fair ▲ functional
- License: unverified → pass ▲ functional
- Dependency health: unverified → partial ▲ functional
- Licence: MIT functional
- 1 Aug 26 +5
- Stability: Stability not yet verified: not enough scan history yet (needs a 30-day window). security
- MCP protocol: unverified → pass ▲ functional
- 31 Jul 26 −25
- We updated how we score, so this day's move reflects our rubric, not a change to the server See what changed → functional
- 30 Jul 26 +22
- Tool coverage: unverified → 100 ▲ functional
- 28 Jul 26 −22
- Tool coverage: 100 → unverified ▼ functional
- First check of Schema quality: unverified functional
- 27 Jul 26 46
First indexed and scored.
Diagnostic detail from the automated scan of this channel: what the scanner observed at each step, so you can see exactly where a check passed or failed. It is informational only and never changes the trust score.
Captured 3 Aug 2026 · Analysed npm/[email protected]
Provenance none
Ecosystem: npm · Outcome: none
Dependencies 94 packages
94 packages in the resolved dependency tree · 94 deprecated · 29 stale.
The dependency tree was only partially resolved, so these counts may be incomplete.
The tools this component advertises to a client, with an estimated token cost for each. Expand a tool to see its parameters and schema. The per-tool counts are indicative and are not scored directly; the schema's total context footprint is one signal in Schema Quality & AI Usability.
analyze_data ~71
Free AI data schema analysis. Returns quality score, PII detection, and recommendations. Deep LLM-powered analysis with API key.
| Name | Type | Req | Description |
|---|---|---|---|
| database | string | — | Database type (postgres, mysql, sqlite, mongodb, etc.) |
| schema | string | yes | Dataset schema, DDL, or description of your data |
No output schema declared.
No examples provided.
data_quality ~51
AI data quality checks with anomaly detection and fix recommendations. Requires DINGDAWG_API_KEY.
| Name | Type | Req | Description |
|---|---|---|---|
| dataset | string | yes | Dataset description or sample data |
| rules | string | — | Custom quality rules to check |
No output schema declared.
No examples provided.
pipeline_design ~68
AI-powered data pipeline architecture design. Stages, tool recommendations, scheduling, error handling. Requires DINGDAWG_API_KEY.
| Name | Type | Req | Description |
|---|---|---|---|
| destination | string | yes | Data destination / warehouse |
| requirements | string | — | Volume, latency, transformation requirements |
| source | string | yes | Data source description |
No output schema declared.
No examples provided.
privacy_scan ~67
AI privacy scan for PII detection, GDPR/CCPA compliance, anonymization recommendations. Requires DINGDAWG_API_KEY.
| Name | Type | Req | Description |
|---|---|---|---|
| regulations | string | — | Regulations to check (GDPR, CCPA, HIPAA) |
| schema | string | yes | Database schema or data description to scan |
No output schema declared.
No examples provided.
query_builder ~72
Free AI SQL query guidance from natural language. Deep LLM-powered optimized SQL generation with API key.
| Name | Type | Req | Description |
|---|---|---|---|
| database | string | — | Database type (postgres, mysql, sqlite) |
| question | string | yes | Natural language question to convert to SQL |
| schema_context | string | — | Table/schema context for accurate query generation |
No output schema declared.
No examples provided.