io.github.dingdawg/dingdawg-support-agent
NPM · DINGDAWG-SUPPORT-AGENT · SCANNED AUG 3
AI support agent — ticket classification, response drafting, escalation routing.
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 Security87
- No malware found by supply-chain analysis.Pass
- Only part of the dependency tree could be resolved (95 of 99), 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 (95 of 99), 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 27 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 396 tokens (~79/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 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-support-agent
claude mcp add dingdawg-dingdawg-support-agent -- npx -y dingdawg-support-agent
codex mcp add dingdawg-dingdawg-support-agent -- npx -y dingdawg-support-agent
{
"$schema": "https://opencode.ai/config.json",
"mcp": {
"dingdawg-dingdawg-support-agent": {
"type": "local",
"command": [
"npx",
"-y",
"dingdawg-support-agent"
],
"enabled": true
}
}
} openclaw mcp add dingdawg-dingdawg-support-agent --command npx --arg -y --arg dingdawg-support-agent
mcp_servers:
dingdawg-dingdawg-support-agent:
command: "npx"
args: ["-y", "dingdawg-support-agent"] {
"mcpServers": {
"dingdawg-dingdawg-support-agent": {
"command": "npx",
"args": [
"-y",
"dingdawg-support-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 +46
- Provenance: unverified → fail ▼ security
- Install scripts: unverified → pass ▲ security
- Known CVEs: unverified → partial ▲ security
- Malware scan: unverified → pass ▲ security
- MCP protocol: unverified → pass ▲ functional
- Stability: unverified → 0.23 ▲ functional
- Schema quality: unverified → good ▲ functional
- License: unverified → pass ▲ functional
- Dependency health: unverified → partial ▲ functional
- Maintenance: unverified → pass ▲ functional
- Licence: MIT 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
- 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 95 packages
95 packages in the resolved dependency tree · 95 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.
classify_ticket ~84
Classify a support ticket by category, priority (P0-P4), and department. FREE: 50 classifications/day (keyword-based). LLM-powered classification with API key.
| Name | Type | Req | Description |
|---|---|---|---|
| body | string | yes | Ticket body/description |
| customer_tier | string | — | Customer tier (free, starter, pro, enterprise) |
| subject | string | yes | Ticket subject line |
No output schema declared.
No examples provided.
draft_response ~81
Draft an empathy-checked customer support response. FREE: 20 drafts/day (basic template). LLM-powered personalized responses with API key.
| Name | Type | Req | Description |
|---|---|---|---|
| context | string | — | Additional context (prior tickets, account info) |
| customer_message | string | yes | The customer's message to respond to |
| tone | string | — | Desired tone (empathetic, professional, casual) |
No output schema declared.
No examples provided.
escalation_decision ~106
Decide if a ticket should be escalated with reasoning and routing. FREE: 30 decisions/day (rule-based). LLM-powered intelligent routing with API key.
| Name | Type | Req | Description |
|---|---|---|---|
| current_priority | string | — | Current priority level |
| customer_tier | string | — | Customer tier (free, starter, pro, enterprise) |
| ticket_body | string | yes | Ticket description |
| ticket_subject | string | yes | Ticket subject |
| time_open_hours | number | — | Hours the ticket has been open |
No output schema declared.
No examples provided.
knowledge_search ~63
Search the local knowledge base for relevant articles. Stores KB at ~/.dingdawg/support/knowledge/. FREE: unlimited (local).
| Name | Type | Req | Description |
|---|---|---|---|
| add_article | string | — | Add a new article to the KB (title::body format) |
| query | string | yes | Search query |
No output schema declared.
No examples provided.
satisfaction_check ~62
Analyze a customer conversation for satisfaction signals and risk flags. FREE: 20 checks/day (keyword-based). LLM-powered sentiment analysis with API key.
| Name | Type | Req | Description |
|---|---|---|---|
| conversation | string | yes | The conversation text to analyze |
| customer_id | string | — | Customer ID for tracking |
No output schema declared.
No examples provided.