threat-intelligence

Use for authorized OSINT and cyber threat intelligence.

What this skill does for you

Use for authorized OSINT and cyber threat intelligence that enriches IOCs, campaigns, impersonation, scams, or threat actors from public sources. Includes bounded X/Twitter search through Xquik, source preservation, corroboration, and evidence handoff.

Quoted from the skill description in the pinned source

Who made it

Publisherzhaoxuya520

Repositoryreverse-skill

Installs389as 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 threat-intelligence 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.

Scanner	Date	Result
Edge static checks	2026-09-27	Pass
Cisco skill-scanner	2026-09-27	Pass
Semgrep Edge rules	2026-09-27	Pass

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: sha256:5f3b1650ecb3b333e10ac9db1e89579166608f96464efee44c5c0b316e301d3c
Licence: MIT