io.github.robertnowell/konid
NPM · KONID-AI · SCANNED AUG 3
Three translation options per phrase, casual to formal, with register context and audio.
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 Security88
- No malware found by supply-chain analysis.Pass
- Only part of the dependency tree could be resolved (141 of 142), 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 (141 of 142), so this covers what we could see, not the whole tree. View diagnostics → Partial
Provenance & Transparency19
- Repository check failed: no source repository is declared. See how to fix → View diagnostics → Fail
- 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 112 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 (excellent).Pass
- Context-footprint check failed: tool/resource definitions use about 592 tokens (~197/item across 3 items; 3 tools + 0 resources), over budget; trim descriptions and params. See how to fix → Fail
- 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 · konid-ai
claude mcp add robertnowell-konid -- npx -y konid-ai
codex mcp add robertnowell-konid -- npx -y konid-ai
{
"$schema": "https://opencode.ai/config.json",
"mcp": {
"robertnowell-konid": {
"type": "local",
"command": [
"npx",
"-y",
"konid-ai"
],
"enabled": true
}
}
} openclaw mcp add robertnowell-konid --command npx --arg -y --arg konid-ai
mcp_servers:
robertnowell-konid:
command: "npx"
args: ["-y", "konid-ai"] {
"mcpServers": {
"robertnowell-konid": {
"command": "npx",
"args": [
"-y",
"konid-ai"
]
}
}
} 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 +49
- Provenance: unverified → fail ▼ security
- Install scripts: unverified → pass ▲ security
- Known CVEs: unverified → partial ▲ security
- Malware scan: unverified → pass ▲ security
- Security disclosure: unverified → fail ▼ functional
- Schema quality: unverified → excellent ▲ functional
- License: unverified → pass ▲ functional
- Dependency health: unverified → partial ▲ functional
- Maintenance: unverified → pass ▲ functional
- MCP protocol: unverified → pass ▲ functional
- Stability: unverified → 0.23 ▲ functional
- Licence: MIT functional
- 1 Aug 26 −6
- 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
- 29 Jul 26 +20
- Tool coverage: unverified → 100 ▲ functional
- 28 Jul 26 −20
- Tool coverage: 100 → unverified ▼ functional
- First check of Schema quality: unverified functional
- 27 Jul 26 38
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 141 packages
141 packages in the resolved dependency tree · 138 deprecated · 39 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.
coach ~130
Express an idea naturally in a target language. Returns 3 socially-calibrated options with romanization, literal meanings, tone notes, and cultural context. Each option is numbered for use with the speak tool.
| Name | Type | Req | Description |
|---|---|---|---|
| context | string | — | Social context: who you're talking to, the situation (e.g. 'texting a date', 'email to boss', 'casual with friends') |
| target_language | string | — | Target language (e.g. 'Mandarin Chinese', 'Japanese', 'Korean', 'Spanish') |
| text | string | yes | The idea you want to express (in English) |
No output schema declared.
No examples provided.
replay ~35
Replay the last spoken audio clip. Use when the user says 'again', 'replay', 'repeat', or 'play it again'.
Input schema present but exposes no named parameters.
No output schema declared.
No examples provided.
speak ~141
Speak text aloud using text-to-speech. Generates audio and plays it through speakers. Use after coach to hear how a phrase sounds.
| Name | Type | Req | Description |
|---|---|---|---|
| meaning | string | — | English meaning of the text (e.g. 'thanks', 'thank you'). Include this so the output is understandable without context. |
| slow | boolean | — | Speak at a slower pace for clearer pronunciation |
| text | string | yes | The text to speak (in the target language) |
| voice | string | — | edge-tts voice name (e.g. 'zh-CN-YunjianNeural', 'zh-CN-XiaoxiaoNeural'). Auto-detected from text if omitted. |
No output schema declared.
No examples provided.