github analyzed 0445030 unconfirmed MCP

mukul975/Anthropic-Cybersecurity-Skills

github

754 structured cybersecurity skills for AI agents · Mapped to 5 frameworks: MITRE ATT&CK, NIST CSF 2.0, MITRE ATLAS, D3FEND & NIST AI RMF · agentskills.io standard · Works with Claude Code, GitHub Copilot, Codex CLI, Cursor, Gemini CLI & 20+ platforms · 26 security domains · Apache 2.0

maintainer
mukul975
license
Apache-2.0
first seen
2026-05-22
last seen
2026-06-04
releases · 30d
0
short id
risk 68/100 · heuristic grade
D high
  • capability exposureinferred+35
  • recent driftinferred+12
  • tool safetyinferred+24
  • trust mitigatorsmixed−3

inferredmixed

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.

graded 8m ago · see ecosystem CVEs →

risk trajectory 1 movements
  • A · 0D · 68
capability exposure grade factor +35
Inferred surface — each links to servers holding it:
vulnerabilities 0 CVEs

No known CVEs for this server.

tool safety 2 findings · grade factor +24
  1. highdangerous code

    committed secret: AWS access key id · dynamic exec: eval()/exec() · suspicious bundled script in 36 file(s)

  2. highhidden prompt content

    11 file(s) with hidden prompt content: mukul975-Anthropic-Cybersecurity-Skills-0445030/skills/analyzing-email-headers-for-phishing-investigation/SKILL.md (skill-exfil), mukul975-A…

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

analyzed commit 0445030 · analyzer v18 · 10h ago

skills & prompt files 195

danger signals44

other grade factors evidence elsewhere
embed badge readme-ready
live risk-grade badge preview [![MCP Observatory risk grade](https://mcpobservatory.com/servers/github:mukul975/Anthropic-Cybersecurity-Skills/badge.svg)](https://mcpobservatory.com/servers/github:mukul975/Anthropic-Cybersecurity-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 mukul975.