Edge Copy setup link
Skill evidence / ctf-sandbox
Skill profile

ctf-sandbox

Thin PRIMARY for CTF / AWD / 靶场 multi-type orchestration.

What this skill does for you

Thin PRIMARY for CTF / AWD / 靶场 multi-type orchestration. Hands off to the sidecar CTF-Sandbox-Orchestrator. Use when the user says CTF, AWD, 靶场, or 比赛题 and no more specific pwn/APK/IDA route already won.

Quoted from the skill description in the pinned source

Who made it

Publisherzhaoxuya520
Repositoryreverse-skill
Installs431as of Sep 27, 2026

Use it with Edge

Set up Edge for me: read getedge.cc/SKILL.md and follow it. Then use Edge to load the ctf-sandbox skill from zhaoxuya520/reverse-skill.

Paste it into Claude, ChatGPT, Codex or Cursor.

Or read the skill source first.

Security evidence

Security state at 2026-09-30: reviewed. State definitions. This records static evidence for this revision; live load eligibility is checked again.

3 static scans, 0 counted findings. The listed scanners recorded the results shown for this package revision.

ScannerDateResultFindings
Edge static checks2026-09-27Pass0
Cisco skill-scanner2026-09-27Pass0
Semgrep Edge rules2026-09-27Pass0

Static scans check the code, not how well the skill works.

Scanner scope, raw findings and mirrored provider records

Edge static checks (Edge-run): edge-static/1.0.1. Scope: Static patterns for remote execution, credentials with network sends, obfuscation, prompt overrides, hidden Unicode, binaries and persistence. Revision: cab634bd855fc287f6e420c1f36fd1a6b9245960. Raw findings: . Counted findings: .

Cisco skill-scanner (Edge-run): cisco-skill-scanner/2.1.0. Scope: Local static, YARA, pipeline and behavioral analyzers; no LLM or AI Defense analysis. Revision: cab634bd855fc287f6e420c1f36fd1a6b9245960. Raw findings: 1. Counted findings: .

Semgrep Edge rules (Edge-run): semgrep/1.178.0+edge-rules.c15016a36fd3+offline-v1. Scope: Six Edge-authored static rules with Semgrep CE; offline execution and metrics disabled. Semgrep-maintained rules excluded. Revision: cab634bd855fc287f6e420c1f36fd1a6b9245960. Raw findings: . Counted findings: .

Source and licence

Repository
https://github.com/zhaoxuya520/reverse-skill
Pinned skill file
View source at revision
Revision
cab634bd855fc287f6e420c1f36fd1a6b9245960
Package hash
sha256:7f034bfe0813cd020c47e37f97c00d8c966a3a89302f07cb1ce7f74b5383193b
Licence
MIT