Skylight MCP Server
@eaglebyte/skylight-mcp
npm
v1.1.7
Source verified
Published by theeaglebyte — publish provenance cryptographically ties this package to that repository. That is proof of origin, not an official vendor package.
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 − 0 = 100. 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:
✓ No adoption-risk deductions — minimal blast radius, verified enough, and fully inspected.
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 40
Each tool and what it can reach — statically extracted from the published source.
add_recipe_to_grocery_listno sensitive capabilitycreate_calendar_eventno sensitive capabilitycreate_choreno sensitive capabilitycreate_listno sensitive capabilitycreate_list_itemno sensitive capabilitycreate_meal_sittingno sensitive capabilitycreate_recipeno sensitive capabilitycreate_rewardno sensitive capabilitycreate_taskno sensitive capabilitydelete_calendar_eventno sensitive capability
Show 30 more tools ↓
delete_choreno sensitive capabilitydelete_listno sensitive capabilitydelete_list_itemno sensitive capabilitydelete_recipeno sensitive capabilitydelete_rewardno sensitive capabilityget_albumsno sensitive capabilityget_avatarsno sensitive capabilityget_calendar_eventsno sensitive capabilityget_choresno sensitive capabilityget_colorsno sensitive capabilityget_devicesno sensitive capabilityget_family_membersno sensitive capabilityget_frame_infono sensitive capabilityget_list_itemsno sensitive capabilityget_listsno sensitive capabilityget_meal_categoriesno sensitive capabilityget_meal_sittingsno sensitive capabilityget_recipeno sensitive capabilityget_recipesno sensitive capabilityget_reward_pointsno sensitive capabilityget_rewardsno sensitive capabilityget_source_calendarsno sensitive capabilityredeem_rewardno sensitive capabilityunredeem_rewardno sensitive capabilityupdate_calendar_eventno sensitive capabilityupdate_choreno sensitive capabilityupdate_listno sensitive capabilityupdate_list_itemno sensitive capabilityupdate_recipeno sensitive capabilityupdate_rewardno sensitive capability
What this scan could not see
- Tools were statically extracted from the published source (40 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 |
|---|---|---|---|---|
v1.1.7 latest |
A 100/100 | 0 | 1.9.0 | 2026-07-24 |
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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