io.github.dingdawg/dingdawg-compliance
NPM · DINGDAWG-COMPLIANCE · SCANNED AUG 3
EU AI Act + Colorado AI Act compliance scoring. 87/100 in 60 seconds. Free local scan.
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 & Transparency32
- 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
- License check failed: the license (BUSL-1.1) isn't a recognized OSI-approved license. See how to fix → Fail
- Actively maintained (last published 18 days ago).Pass
- Disclosure check failed: no security disclosure policy was found in the source repository. See how to fix → Fail
Schema Quality & AI Usability66
- AI-judged instruction clarity (good).Pass
- Tool/resource definitions use about 258 tokens (~64/item across 4 items; 4 tools + 0 resources), lean.Pass
- Usage-examples check failed: none of the tools include examples. See how to fix → Fail
Stability & Change Management27
- Stability observed for 8 of 30 days with no destabilising changes; credit accrues until the full window elapses.Partial
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
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-compliance
claude mcp add dingdawg-dingdawg-compliance -- npx -y dingdawg-compliance
codex mcp add dingdawg-dingdawg-compliance -- npx -y dingdawg-compliance
{
"$schema": "https://opencode.ai/config.json",
"mcp": {
"dingdawg-dingdawg-compliance": {
"type": "local",
"command": [
"npx",
"-y",
"dingdawg-compliance"
],
"enabled": true
}
}
} openclaw mcp add dingdawg-dingdawg-compliance --command npx --arg -y --arg dingdawg-compliance
mcp_servers:
dingdawg-dingdawg-compliance:
command: "npx"
args: ["-y", "dingdawg-compliance"] {
"mcpServers": {
"dingdawg-dingdawg-compliance": {
"command": "npx",
"args": [
"-y",
"dingdawg-compliance"
]
}
}
} 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 +43
- Provenance: unverified → fail ▼ security
- Known CVEs: unverified → partial ▲ security
- Install scripts: unverified → pass ▲ security
- Malware scan: unverified → pass ▲ security
- License: unverified → fail ▼ functional
- Security disclosure: fail → unverified ▼ functional
- Tool coverage: 100 → unverified ▼ functional
- Schema quality: unverified → good ▲ functional
- Stability: unverified → 0.23 ▲ functional
- MCP protocol: unverified → pass ▲ functional
- Maintenance: unverified → pass ▲ functional
- Dependency health: unverified → partial ▲ functional
- Licence: BUSL-1.1 functional
- 1 Aug 26 −7
- We updated how we score, so this day's move reflects our rubric, not a change to the server See what changed → functional
- 31 Jul 26 −18
- Malware scan: pass → unverified ▼ security
- 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.
check_status ~37
Check the status of a compliance report. Requires DINGDAWG_API_KEY.
| Name | Type | Req | Description |
|---|---|---|---|
| report_id | string | yes | Report ID from generate_report |
No output schema declared.
No examples provided.
generate_report ~111
Generate a full AI compliance report via DingDawg API. Requires DINGDAWG_API_KEY. LLM-powered analysis with legal citations, remediation steps, and certification docs. Tiers: starter=$199, standard=$499, pro=$999, enterprise=$1499.
| Name | Type | Req | Description |
|---|---|---|---|
| ai_system_description | string | yes | AI system description for assessment |
| company_name | string | yes | Company name for the report |
| string | yes | Email to receive the report | |
| tier | string | yes | Report tier |
No output schema declared.
No examples provided.
list_frameworks ~19
List available compliance frameworks and what each tier covers.
Input schema present but exposes no named parameters.
No output schema declared.
No examples provided.
quick_check ~91
Free AI compliance quick check. Scores your system against EU AI Act and Colorado ADMT Law (SB26-189). Returns top findings locally. Deep LLM-powered remediation available with API key.
| Name | Type | Req | Description |
|---|---|---|---|
| ai_system_description | string | yes | Describe your AI system: what it does, what data it uses, who it affects |
| industry | string | — | Your industry (healthcare, finance, education, etc.) |
No output schema declared.
No examples provided.