Real Skill packageSource verifiedClawHub registry

phishing-spotter

Use when you receive a suspicious email, SMS, or voice-mail attempt and want to know if it's phishing BEFORE clicking — parses raw message text or .eml files, extracts URLs and analyzes them character-by-character (homograph IDN tricks, subdomain brand spoofing, URL shorteners, punycode, credential-path patterns like /login/verify), checks 25+ social-engineering pressure patterns (urgency, fear, authority, curiosity, authority), scores the message 0-100, and explains each signal in plain language so you learn to s…

Identity and source

Publisher attributionvoronindenis5registry owner unverified by skillvetai
Functional categorySoftware Developmentautomatically inferred · 57% rule confidence
Package forminstruction with code7 recorded files
Canonical sourceClawHub registryclawhub:voronindenis5:phishing-spotter
Open canonical source ↗

Platform declarations

These states come from the source or distribution context. None of the entries below are SkillVetAI compatibility test results.

OpenClawnative officialProvenance: registry distribution

Independent structural checks

These checks parse the fixed package against dated platform rules. They do not execute the Skill or verify task behavior.

Claude Codepasses structure
Checker 0.1.0 · agent-skills-2026-08-13+claude-code-docs-2026-08-13 · 9/20/2026.claude/skills/phishing-spotter

Runtime, accounts, dependencies, permissions, network behavior and task quality remain untested.

OpenAI Codexpasses structure
Checker 0.1.0 · agent-skills-2026-08-13+codex-docs-2026-08-13 · 9/20/2026.agents/skills/phishing-spotter

Runtime, accounts, dependencies, permissions, network behavior and task quality remain untested.

OpenClawpasses structure
Checker 0.1.0 · agent-skills-2026-08-13+openclaw-docs-2026-08-13 · 9/20/2026skills/phishing-spotter

Runtime, accounts, dependencies, permissions, network behavior and task quality remain untested.

Installation and inspection

This command is recorded from the source ecosystem and resolves the registry's latest release. The fixed release shown on this page should be inspected before adoption.

clawhub install @voronindenis5/phishing-spotter
clawhub inspect @voronindenis5/phishing-spotter --version 1.0.0

Security evidence

SkillVetAI static result: no findings detected

This automated, non-executing scan is bound to this release hash. It is not a safety certification and may contain false positives or false negatives.

Status
completed
Coverage
full text content
Files
7 / 7 inspected as text
Checked
9/20/2026, 4:09:55 PM
Scanner
0.1.3
Policy
1.0.3
3 inferred permission indicators
  • network access — automatically inferred
  • filesystem read — automatically inferred
  • filesystem write — automatically inferred
3 dependency and API indicators
  • api: bit.ly
  • api: clawhub.ai
  • api: paypal.com.verify-account.io
External clawhub result: clean

This is registry-supplied evidence for the recorded release, not an independent SkillVetAI scan. Check the canonical source for the full report, scanner versions, scope, and current moderation state.

Evidence checked
9/20/2026, 3:34:08 PM
Release binding
Matches this record
  • vt: clean
  • skillspector: suspicious
  • llm: clean

Recorded files

The catalog stores hashes and an inventory summary for change detection. It does not republish the package contents.

Package content hashsha256:10e4a744b663fb23506d1cab36bdfe3343499b38c5ab7160e380bb365fbc2026
Show up to 7 recorded paths
  • LICENSE
  • README.md
  • references/sample-phish.txt
  • references/signal-reference.md
  • scripts/phishing_spotter.py
  • skill-card.md
  • SKILL.md

Source changelog

Initial release of Phishing Spotter — a message analyzer and phishing-awareness trainer: - Analyzes suspicious emails, SMS, or voice-mail attempts before you click. - Extracts and forensically examines URLs for phishing tricks (homograph, brand spoofing, credential bait, shorteners, punycode, and more). - Checks messages against 25+ social engineering patterns (urgency, fear, authority, etc.). - Scores risk 0–100 and explains each detected signal in clear language. - Designed for offline use, no external calls, and pure-text analysis for safety and education.