Nlobby Cli MCP Server
nlobby-cli
npm
v1.6.0
Source verified
Published by minagishl — publish provenance cryptographically ties this package to that repository. That is proof of origin, not an official vendor package.
CLI and MCP server for N Lobby school portal
The grade answers one question — how safe is this server for you to adopt — so it is computed in two auditable stages. Nothing below is an opinion or an LLM's guess; every line is a real term the deterministic engine applied, and the same input always yields the same number.
1. Threat score — 100 − 0 = 100. What the published surface and source actually contain:
The deterministic scan raised no scored threat in the surface it inspected — the threat score stayed at 100. Capability observations and advisory notes are recorded but never lower it.
2. Client adoption risk — 100 − 3 = 97. Three small, subtract-only factors that reflect your risk in adopting it — a clean scan proves less on a powerful, unverified or barely-inspectable package, so the grade says so plainly:
| Points | Adoption-risk factor |
|---|---|
| −3 | capability blast radius (moderate) — client exposure if the model is manipulated |
Capability observations and info notes are shown under Findings but never scored.
Open any row's finding below for the file, line and evidence behind a deduction.
Findings 0
Tools 38
Each tool and what it can reach — statically extracted from the published source.
download_news_attachmentingests untrusted inputget_designated_schoolingests untrusted inputget_schoolingingests untrusted inputget_schooling_detailingests untrusted inputcheck_cookiesno sensitive capabilitycheck_exam_dayno sensitive capabilitydebug_connectionno sensitive capabilityfinish_exam_day_modeno sensitive capabilityget_account_infono sensitive capabilityget_calendar_eventsno sensitive capability
Show 28 more tools ↓
get_calendar_filtersno sensitive capabilityget_exam_otpno sensitive capabilityget_interest_weightsno sensitive capabilityget_learning_resourcesno sensitive capabilityget_navigation_menusno sensitive capabilityget_newsno sensitive capabilityget_news_detailno sensitive capabilityget_notificationsno sensitive capabilityget_required_coursesno sensitive capabilityget_scheduleno sensitive capabilityget_student_card_screenshotno sensitive capabilityget_unread_news_infono sensitive capabilityget_user_interestsno sensitive capabilityhealth_checkno sensitive capabilityinteractive_loginno sensitive capabilityLearning Resourcesno sensitive capabilitylogin_helpno sensitive capabilitymark_news_as_readno sensitive capabilityRequired Coursesno sensitive capabilitySchool Newsno sensitive capabilitySchool Scheduleno sensitive capabilityset_cookiesno sensitive capabilitytest_calendar_endpointsno sensitive capabilitytest_page_contentno sensitive capabilitytest_trpc_endpointno sensitive capabilityupdate_last_accessno sensitive capabilityUser Profileno sensitive capabilityverify_authenticationno sensitive capability
What this scan could not see
- Tools were statically extracted from the published source (38 recovered), not enumerated from a running server. Tool-poisoning, Unicode-smuggling, capability and toxic-flow analysis ran on this inferred surface, but a mis-parsed registration could be missed or mis-attributed, so tool-derived findings are capped below “confirmed”. To grade the real runtime surface, scan the running server: --command "npx -y <package>".
Versions 1
Scan history per published version. The engine is deterministic — the same version always yields the same score, so a changed score means the package itself changed.
| Version | Score | Findings | Engine | Scanned |
|---|---|---|---|---|
v1.6.0 latest |
A 97/100 | 0 | 1.13.0 | 2026-09-07 |
Embed this score
Show this server's live Trust Score in your README, docs or website. The badge is served straight from the registry and updates automatically after every rescan — no API key needed. It links back to this page, so anyone who sees the grade can also read the findings behind it instead of taking a number on faith.
Verify this score yourself
The score above is reproducible: the same package version always yields the same result. Run it locally or over the free API — no account, no LLM, fully deterministic.
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