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Get Started Free →Protect aging parents from the scams that target them — the conversation that doesn't condescend, the family code word, the top patterns aimed at seniors, and the guardrails that help without taking over. Use when asked how do I talk to my parents about scams, my mom almost sent money to someone, set up scam protection for my dad, or what scams target the elderly. Produces the briefing conversation script (dignity-first), the household defenses, the pattern one-pager to leave behind, and the if-
.claude/skills/mohitagw15856-elder-scam-briefing/SKILL.md| Test case | Without → With | Effect | Δ tokens | Δ turns |
|---|---|---|---|---|
| case-01 | ✗→✓ | ▲ Improved | 55% | 0% |
| case-03 | ✗→✓ | ▲ Improved | 20% | 0% |
| case-12 | ✗→✓ | ▲ Improved | 121% | 0% |
| case-16 | ✗→✓ | ▲ Improved | 106% | 0% |
| case-20 | ✓→✗ | ▼ Worse | 88% | 0% |
Scammers target seniors with the most personal attacks in the catalog — the grandchild in fake trouble, the "Medicare representative," the romance that asks for nothing for months — and the standard family response ("Mom, never answer the phone") fails because it trades safety for dignity, so it gets quietly ignored. This skill builds the version that works: a conversation between adults ("these are professional operations targeting everyone — here's what they're running this year"), one family code word, a few structural guardrails that don't require surveillance, and a no-blame protocol for the day something slips through — because shame is the scammer's best retention tool.
Ask for these if not provided:
The recruiting open, verbatim · the code-word agreement + the voice-cloning sentence · the advice-asking posture throughout]
The 6 patterns in large plain type, each: the setup → the tell → the counter-line]
Call screening · the pause rule at their threshold · alerts configured together · trusted-contact option (flag: mechanisms vary by bank/jurisdiction)]
The no-blame script, verbatim · the speed ladder: fraud line → passwords → report · the agency-restoring reporting frame]
> Scam patterns evolve and protective mechanisms (trusted contacts, alert options) vary by institution and jurisdiction — refresh the one-pager yearly and verify the mechanisms with their bank. Protection that costs dignity gets ignored; everything here is designed to be accepted.
| Case | Status | Duration (ms) | Turns | Tokens | Tool calls | ||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Without | With | Δ | Without | With | Δ | Without | With | Δ | Without | With | Δ | ||
case-06 | pass→pass | 9,107 | 11,446 | +26% | 1 | 1 | 0% | 1,999 | 3,301 | +65% | 0 | 0 | — |
case-01 | fail→pass | 18,744 | 22,830 | +22% | 1 | 1 | 0% | 3,339 | 5,176 | +55% | 0 | 0 | — |
case-02 | fail→fail | 19,590 | 18,772 | -4% | 1 | 1 | 0% | 3,439 | 4,587 | +33% | 0 | 0 | — |
case-03 | fail→pass | 23,252 | 21,803 | -6% | 1 | 1 | 0% | 4,082 | 4,910 | +20% | 0 | 0 | — |
case-04 | pass→pass | 11,994 | 11,096 | -7% | 1 | 1 | 0% | 2,022 | 3,272 | +62% | 0 | 0 | — |
case-05 | pass→pass | 12,205 | 18,173 | +49% | 1 | 1 | 0% | 2,308 | 4,664 | +102% | 0 | 0 | — |
case-07 | pass→pass | 7,067 | 7,481 | +6% | 1 | 1 | 0% | 1,351 | 2,585 | +91% | 0 | 0 | — |
case-08 | pass→pass | 3,870 | 4,028 | +4% | 1 | 1 | 0% | 719 | 2,097 | +192% | 0 | 0 | — |
case-09 | pass→pass | 9,113 | 6,158 | -32% | 1 | 1 | 0% | 1,694 | 2,387 | +41% | 0 | 0 | — |
case-10 | fail→fail | 11,470 | 12,313 | +7% | 1 | 1 | 0% | 1,933 | 3,293 | +70% | 0 | 0 | — |
case-11 | pass→pass | 7,959 | 12,297 | +55% | 1 | 1 | 0% | 1,129 | 3,243 | +187% | 0 | 0 | — |
case-12 | fail→pass | 8,026 | 8,996 | +12% | 1 | 1 | 0% | 1,292 | 2,856 | +121% | 0 | 0 | — |
case-13 | pass→pass | 10,856 | 12,868 | +19% | 1 | 1 | 0% | 1,763 | 3,381 | +92% | 0 | 0 | — |
case-14 | pass→pass | 10,713 | 11,316 | +6% | 1 | 1 | 0% | 1,934 | 3,396 | +76% | 0 | 0 | — |
case-15 | pass→pass | 6,428 | 4,582 | -29% | 1 | 1 | 0% | 1,225 | 2,144 | +75% | 0 | 0 | — |
case-16 | fail→pass | 12,050 | 18,520 | +54% | 1 | 1 | 0% | 2,166 | 4,467 | +106% | 0 | 0 | — |
case-17 | pass→pass | 7,350 | 5,902 | -20% | 1 | 1 | 0% | 1,417 | 2,445 | +73% | 0 | 0 | — |
case-18 | pass→pass | 13,285 | 8,109 | -39% | 1 | 1 | 0% | 2,293 | 3,018 | +32% | 0 | 0 | — |
case-19 | pass→pass | 12,715 | 13,025 | +2% | 1 | 1 | 0% | 2,205 | 3,282 | +49% | 0 | 0 | — |
case-20 | pass→fail | 10,377 | 12,730 | +23% | 1 | 1 | 0% | 1,907 | 3,585 | +88% | 0 | 0 | — |
case-21 | pass→pass | 20,444 | 18,665 | -9% | 1 | 1 | 0% | 4,036 | 5,264 | +30% | 0 | 0 | — |
case-22 | pass→pass | 18,928 | 13,750 | -27% | 1 | 1 | 0% | 3,479 | 3,751 | +8% | 0 | 0 | — |
DecimalAI ran this skill against gemini-3.6-flash twice over the same eval suite — once with the skill loaded and once without — and compared the two runs case by case. 22 cases were attempted. The headline lift of +14 percentage points is the difference between those two pass rates over the 22 comparable cases. 1 case got worse with the skill loaded, and it is included in that figure.
Without the skill loaded, the model failed this case. With it loaded, the same prompt on the same model passed. This is one improved case from the latest verified run; every case, including any that regressed, is in the table above.
Other measured skills in the registry, with their headline benchmark lift.