--- name: scam-message-decoder description: "Decode a suspicious message โ€” text, email, call transcript, or DM โ€” against the anatomy of known scam families, with a ๐Ÿ”ด๐ŸŸก๐ŸŸข 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 โ€” phishing, smishing, the fake-fraud-alert call, job scams, romance/pig-butchering, invoice fraud, grandparent emergencies, tech-support pop-ups โ€” 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** โ€” ๐Ÿ”ด scam-pattern match / ๐ŸŸก suspicious-verify-first / ๐ŸŸข consistent-with-legitimate โ€” with the family named - **The tells, quoted** โ€” each red flag pointed at the message's own words - **The safe next move** โ€” the independent-channel verification path, specific to the situation - **The already-engaged triage** โ€” clicked/paid/shared? The damage-control ladder, calm and ordered ## Required Inputs Ask for these if not provided: - **The message itself** โ€” pasted verbatim (sender address/number included; the from-field is often the loudest tell) - **The context** โ€” 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 โ€” barely) - **Engagement status** โ€” just received, or already clicked/replied/paid โ€” 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 โ€” no legitimate institution takes gift cards, ever, for anything) + initiated-by-them = ๐Ÿ”ด 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" โ€” that request IS the scam) ยท delivery/toll smishing (the link domain is the tell) ยท job scams (pay-for-equipment, check-then-refund = the overpayment engine) ยท romance/investment grooming (weeks of warmth, then a platform only they can see) ยท invoice/BEC (the changed-bank-details email โ€” verify by phone on a known number, always) ยท grandparent/emergency (voice "proof" no longer proves โ€” say so plainly) ยท 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 ยท type the site yourself ยท contact the "relative" on their known number ยท verify invoices by known-number phone call. The message's links, numbers, and "press 1" exist to keep you inside the scam's channel โ€” the decode says this explicitly every time. 4. **๐ŸŸข 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 ๐ŸŸข โ€” 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 โ†’ contact the bank/rail's fraud line *now* (speed matters for recalls โ€” some rails can claw back, some can't; no promises made) ยท credentials shared โ†’ change that password + everywhere it's reused + enable 2FA ยท card numbers โ†’ freeze/reissue ยท remote access granted โ†’ disconnect, run security scan, change passwords from a *different* device ยท then report (the platform, and the national reporting body โ€” 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] โ€” verdict: [๐Ÿ”ด/๐ŸŸก/๐ŸŸข] **[The one-line verdict with the family name: "๐Ÿ”ด โ€” this matches the fake-bank-fraud-alert pattern."]** ## The Tells > "[quoted line from the message]" [What it signals ยท 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 โ€” speed over embarrassment] > Scam patterns evolve and reporting channels vary by country โ€” 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 - [ ] ๐ŸŸข 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 โ€” these are professional operations; embarrassment is part of their design - [ ] Do not verify through anything the message provided โ€” links, numbers, "press 1" - [ ] Do not mark everything ๐Ÿ”ด โ€” false alarms train people to stop asking - [ ] Do not promise recovery of sent money โ€” route to the fraud line fast and honestly - [ ] Do not reproduce or improve scam text โ€” this skill decodes attacks, never drafts them