zero-day-discovery

zero-day-discovery is a Penetration testing & red team skill for AI agents, published by Ed1s0nZ in the CyberStrikeAI repository on GitHub. Skillspace rates zero-day-discovery D (55/100) and it passed the safety scan; the rating is based on static analysis only.

0day自主发现引擎:变体分析/补丁间隙/差分/Fuzzing/污点推理/N-day武器化/猎人思维。Use when public vulns not found and need to discover 0day or weaponize N-day.

Grade
D
Quality
55 / 100
Safety
Passed
GitHub stars
6,578

Unproven: rated by static analysis only, not yet compared head-to-head.

This rating describes the version of the repository we crawled; it may have changed since, so go by its current files.

View source on GitHubEd1s0nZ/CyberStrikeAI

Our review

Architecture
84 / 100
Maturity
Basic: a single SKILL.md
Security scan
Low-risk patterns
License
Not declared. Check the repository before reusing it.

What the scanner flagged

  • mentions secrets in text

Not checked yet

  • Category is a classifier prediction; no model has read this skill yet
  • Not judged on the rubric yet (not a contender in its category)
  • No blind task eval yet
  • Scope (portable / vendor / repo-internal) not assessed; only the top of each category is read for scope
  • Sibling files (scripts, references) not fetched; security scan covers SKILL.md only

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