io.github.dingdawg/dingdawg-shield
NPM · DINGDAWG-SHIELD · SCANNED AUG 3
AI security scanning and trust scoring. Stack-specific threat models. 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 & 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 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 Usability71
- AI-judged instruction clarity (good).Pass
- Tool/resource definitions use about 340 tokens (~113/item across 3 items; 3 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-shield
claude mcp add dingdawg-dingdawg-shield -- npx -y dingdawg-shield
codex mcp add dingdawg-dingdawg-shield -- npx -y dingdawg-shield
{
"$schema": "https://opencode.ai/config.json",
"mcp": {
"dingdawg-dingdawg-shield": {
"type": "local",
"command": [
"npx",
"-y",
"dingdawg-shield"
],
"enabled": true
}
}
} openclaw mcp add dingdawg-dingdawg-shield --command npx --arg -y --arg dingdawg-shield
mcp_servers:
dingdawg-dingdawg-shield:
command: "npx"
args: ["-y", "dingdawg-shield"] {
"mcpServers": {
"dingdawg-dingdawg-shield": {
"command": "npx",
"args": [
"-y",
"dingdawg-shield"
]
}
}
} 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.
- 3 Aug 26 +4
- Stability: unverified → 0.27 ▲ functional
- 2 Aug 26 +38
- Provenance: unverified → fail ▼ security
- Install scripts: unverified → pass ▲ security
- Known CVEs: unverified → partial ▲ 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
- Schema quality: unverified → good ▲ functional
- Maintenance: unverified → pass ▲ functional
- Dependency health: unverified → partial ▲ functional
- License: unverified → pass ▲ functional
- Licence: MIT functional
- 1 Aug 26 +21
- Stability: Stability not yet verified: not enough scan history yet (needs a 30-day window). security
- MCP protocol: unverified → pass ▲ functional
- Tool coverage: unverified → 100 ▲ functional
- 31 Jul 26 −23
- 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 −18
- Malware scan: pass → unverified ▼ security
- 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.
governance_check ~92
Check if an AI system meets governance requirements. Evaluates transparency, accountability, fairness, safety, and privacy controls. Free — runs locally.
| Name | Type | Req | Description |
|---|---|---|---|
| deployment_context | string | — | Where this AI system is deployed |
| has_human_oversight | boolean | — | Whether human oversight exists for AI decisions |
| system_description | string | yes | Describe your AI system: purpose, data sources, decision scope, affected users |
No output schema declared.
No examples provided.
security_scan ~119
Scan a codebase for AI security vulnerabilities. Free tier: 1 local scan per day. Checks SQL injection, XSS, SSRF, path traversal, prompt injection, hardcoded secrets, insecure deserialization, missing auth, data leakage, and more.
| Name | Type | Req | Description |
|---|---|---|---|
| code_snippet | string | yes | Code or system description to scan for AI security vulnerabilities |
| language | string | — | Programming language (python, typescript, javascript, etc.) |
| scan_depth | string | — | Scan depth — quick (free), standard (API), deep (API) |
No output schema declared.
No examples provided.
trust_score ~129
Get a quantified trust score for an AI agent or system. $0.05 per check via API, or free local assessment. Returns a 0-100 score with breakdown across reliability, safety, transparency, fairness, and accountability.
| Name | Type | Req | Description |
|---|---|---|---|
| certifications | array | — | Existing certifications (SOC2, ISO 27001, etc.) |
| incident_history | string | — | Any known incidents, failures, or complaints |
| system_description | string | yes | What the system does, how it makes decisions, what data it uses |
| system_name | string | yes | Name of the AI system or agent to score |
No output schema declared.
No examples provided.