scam-message-decoder Pass

Decode a suspicious message — text, email, call transcript, or DM — against the anatomy of known scam families, with a read and the safe next move. Use when someone asks is this a scam, decode this suspicious text, my 'bank' just called me, this job offer seems off, or my parent got a weird message. Produces the verdict with the specific scam-family match, the tells quoted from the message itself, the safe-verification path (never the message's own links or numbers), and the if-you-already-clicked triage.

86out of 100
1.2k
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// Install Skill

Install Skill

Skills are third-party code from public GitHub repositories. SkillHub scans for known malicious patterns but cannot guarantee safety. Review the source code before installing.

Install globally (user-level):

npx skillhub install mohitagw15856/pm-claude-skills/scam-message-decoder

Install in current project:

npx skillhub install mohitagw15856/pm-claude-skills/scam-message-decoder --project

skill.install.customTargetHelp

npx skillhub install mohitagw15856/pm-claude-skills/scam-message-decoder --target-dir /path/to/skills

Suggested path: ~/.claude/skills/scam-message-decoder/

AI Review

86
out of 100
Instruction Quality90
Description Precision92
Usefulness85
Technical Soundness75

Scored 86 thanks to comprehensive 5-part anatomy framework, clear output format, and quality checks. Strong description with 5+ diverse trigger phrases. Valuable safety tool that works across all messaging platforms. Minor deduction for no cross-platform or command verification needs (pure text analysis).

general-publicsecurity-conscious-userselderly-users-family.scam-detectionphishing-analysisfraud-preventionsecurity-awareness.
Reviewed by review-skill-gateway(z-ai/glm-5.2) on 7/20/2026

SKILL.md Content

---
name: scam-message-decoder
description: "Decode a suspicious message — text, email, call transcript, or DM — against the anatomy of known scam families, with a 🔴🟡🟢 read and the safe next move. Use when someone asks is this a scam, decode this suspicious text, my 'bank' just called me, this job offer seems off, or my parent got a weird message. Produces the verdict with the specific scam-family match, the tells quoted from the message itself, the safe-verification path (never the message's own links or numbers), and the if-you-already-clicked triage."
---

# Scam Message Decoder Skill

Every scam is a costume over the same skeleton: manufactured urgency, an unusual payment or credential request, and a channel you didn't initiate. This skill reads the actual message against the known families — phishing, smishing, the fake-fraud-alert call, job scams, romance/pig-butchering, invoice fraud, grandparent emergencies, tech-support pop-ups — quotes the tells from the text itself, and gives the one move that defeats nearly all of them: **verify through a channel you already had, never through anything the message provides.** No shame anywhere in the output; these work on smart people because they're built by professionals to.

## What This Skill Produces

- **The verdict** — 🔴 scam-pattern match / 🟡 suspicious-verify-first / 🟢 consistent-with-legitimate — with the family named
- **The tells, quoted** — each red flag pointed at the message's own words
- **The safe next move** — the independent-channel verification path, specific to the situation
- **The already-engaged triage** — clicked/paid/shared? The damage-control ladder, calm and ordered

## Required Inputs

Ask for these if not provided:
- **The message itself** — pasted verbatim (sender address/number included; the from-field is often the loudest tell)
- **The context** — do they have a relationship with the claimed sender? Were they expecting anything? (An unexpected "your package is held" and an expected delivery read differently — barely)
- **Engagement status** — just received, or already clicked/replied/paid — the second reroutes the whole output to triage first

## Framework: The Anatomy Rules

1. **The skeleton check:** urgency ("within 24 hours", "your account will be suspended") + unusual payment rail (gift cards, wire, crypto, payment apps to strangers — no legitimate institution takes gift cards, ever, for anything) + initiated-by-them = 🔴 regardless of how good the costume is. These three carry more weight than any logo.
2. **Family matching sharpens the read:** bank-fraud-alert calls (real banks don't ask you to move money to a "safe account" — that request IS the scam) · delivery/toll smishing (the link domain is the tell) · job scams (pay-for-equipment, check-then-refund = the overpayment engine) · romance/investment grooming (weeks of warmth, then a platform only they can see) · invoice/BEC (the changed-bank-details email — verify by phone on a known number, always) · grandparent/emergency (voice "proof" no longer proves — say so plainly) · tech-support pop-ups (the number on the screen is the scam). Each match brings its specific counter-move.
3. **The universal counter is channel independence:** hang up and call the number on the card · type the site yourself · contact the "relative" on their known number · verify invoices by known-number phone call. The message's links, numbers, and "press 1" exist to keep you inside the scam's channel — the decode says this explicitly every time.
4. **🟢 exists and gets said:** real messages get flagged by anxious people constantly; a delivery text that matches an expected package, links to the real domain, and asks for nothing is 🟢 — with the note that typing the tracking number into the carrier's site yourself costs nothing. Crying wolf on everything teaches people to stop checking.
5. **Already-engaged triage, in order:** money sent → contact the bank/rail's fraud line *now* (speed matters for recalls — some rails can claw back, some can't; no promises made) · credentials shared → change that password + everywhere it's reused + enable 2FA · card numbers → freeze/reissue · remote access granted → disconnect, run security scan, change passwords from a *different* device · then report (the platform, and the national reporting body — named as a type, jurisdiction-flagged). Shame delays every one of these steps, so the triage opens by saying: professionals fall for professional scams; speed matters more than embarrassment.

## Output Format

# Scam Decode: [message type] — verdict: [🔴/🟡/🟢]

**[The one-line verdict with the family name: "🔴 — this matches the fake-bank-fraud-alert pattern."]**

## The Tells
> "[quoted line from the message]"
[What it signals · why legitimate senders don't do this]

## The Safe Move
[The independent-channel verification, specific: which number/site, from where]

## If You Already Engaged
[The ordered triage for what was shared, calm, no shame — speed over embarrassment]

> Scam patterns evolve and reporting channels vary by country — when money has moved, the bank's fraud line and local reporting body come before everything else. No legitimate organization takes payment in gift cards.

## Quality Checks

- [ ] Every red flag quotes the message's actual words
- [ ] The verdict names a specific family, not generic "be careful"
- [ ] The safe move uses only channels the user already had
- [ ] 🟢 verdicts are given when earned, with the free-verification note
- [ ] The triage is ordered by recoverability speed and opens shame-free

## Anti-Patterns

- [ ] Do not shame the target anywhere — these are professional operations; embarrassment is part of their design
- [ ] Do not verify through anything the message provided — links, numbers, "press 1"
- [ ] Do not mark everything 🔴 — false alarms train people to stop asking
- [ ] Do not promise recovery of sent money — route to the fraud line fast and honestly
- [ ] Do not reproduce or improve scam text — this skill decodes attacks, never drafts them

License

Declared license: MIT

MIT License

Copyright (c) 2026 mohitagw15856

Permission is hereby granted, free of charge, to any person obtaining a copy
of this software and associated documentation files (the "Software"), to deal
in the Software without restriction, including without limitation the rights
to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
copies of the Software, and to permit persons to whom the Software is
furnished to do so, subject to the following conditions:

The above copyright notice and this permission notice shall be included in all
copies or substantial portions of the Software.

THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
SOFTWARE.

View the license in the source repositorythe version published there is authoritative.

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