npm JavaScript analyzed 2026.910.1 no deep scan

AceDataCloud/Skills

v2026.910.1
npm

Agent Skills for AceDataCloud AI services — music, image, video generation, LLM chat, web search. Compatible with Claude Code, GitHub Copilot, Gemini CLI, OpenAI Codex, and 30+ AI coding agents.

maintainer
AceDataCloud
licence
Apache-2.0
first seen
2026-06-06
last seen
2026-09-15
releases · 30d
35
short id
risk 7/100 · heuristic grade
A minimal inferred analyzer v33 (current)
  • capability exposure inferred + 4
  • supply-chain attested + 6
  • trust mitigators mixed − 3

attested inferred mixed

The A–E grade is our heuristic synthesis — a "review this" prompt, not a verdict. Each factor is tagged by what backs it: attested (a verifiable record), reported (a third party's claim), or inferred (our own heuristic, e.g. permissions). See methodology.

grade last moved 1w ago · see ecosystem CVEs →

risk trajectory 18 movements
  • A · 3 A · 7
  • A · 7 A · 3
  • A · 3 A · 7
  • A · 7 A · 3
  • A · 3 A · 7
  • A · 7 A · 3
  • B · 19 A · 7
  • B · 27 B · 19
  • B · 23 B · 27
  • B · 27 B · 23
  • B · 23 B · 27
  • B · 27 B · 23
  • B · 23 B · 27
  • B · 27 B · 23
  • B · 17 B · 27
  • D · 64 B · 17
  • C · 56 D · 64
  • A · 0 C · 56
capability exposure grade factor +4
Inferred surface — each links to servers holding it:
vulnerabilities 0 CVEs

No known CVEs for this server.

tool safety all quiet

No tool-safety findings — heuristic detectors run on the compute-risk cadence; a finding appears when a tool trips a rule.

skills & danger signals github-tarball
prompt-surface shipped agent-instruction files + hidden-content / dangerous-code findings — quoted from the analyzed source

analyzed v2026.910.1 · analyzer v33 · 2d ago

skills & prompt files 106

other grade factors evidence elsewhere
embed badge readme-ready
live risk-grade badge preview [![MCP Observatory risk grade](https://mcpobservatory.com/servers/github:AceDataCloud/Skills/badge.svg)](https://mcpobservatory.com/servers/github:AceDataCloud/Skills/security)

Heuristic, inferred signals — false positives (legitimately powerful tools, forks, language ports) are expected. Treat each as "review this", not a verdict. See the ecosystem-wide picture on the security hub, or the fleet security of AceDataCloud.