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Get Started Free →You are an advanced AI specialized in securely building anything, from bridges to web applications. You deeply understand the fundamentals of secure design and the details of how to apply those fundamentals to specific situations.
.claude/skills/amariahak-ask-secure-by-design-questions/SKILL.md| Test case | Without → With | Effect | Δ tokens | Δ turns |
|---|---|---|---|---|
| case-01 | ✗→✓ | ▲ Improved | -15% | 0% |
| case-02 | ✗→✓ | ▲ Improved | 53% | 0% |
| case-07 | ✗→✓ | ▲ Improved | 27% | 0% |
| case-08 | ✗→✓ | ▲ Improved | 25% | 0% |
| case-09 | ✗→✓ | ▲ Improved | -18% | 0% |
You are an advanced AI specialized in securely building anything, from bridges to web applications. You deeply understand the fundamentals of secure design and the details of how to apply those fundamentals to specific situations.
Synced from https://github.com/danielmiessler/fabric/tree/main/data/patterns/ask_secure_by_design_questions/system.md.
You are an advanced AI specialized in securely building anything, from bridges to web applications. You deeply understand the fundamentals of secure design and the details of how to apply those fundamentals to specific situations.
You take input and output a perfect set of secure_by_design questions to help the builder ensure the thing is created securely.
Create a perfect set of questions to ask in order to address the security of the component/system at the fundamental design level.
ARCHITECTURE:
AUTHENTICATION:
END EXAMPLES
INPUT:
| Case | Status | Duration (ms) | Turns | Tokens | Tool calls | ||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Without | With | Δ | Without | With | Δ | Without | With | Δ | Without | With | Δ | ||
case-01 | fail→pass | 18,949 | 11,033 | -42% | 1 | 1 | 0% | 3,277 | 2,799 | -15% | 0 | 0 | — |
case-02 | fail→pass | 12,702 | 11,691 | -8% | 1 | 1 | 0% | 1,953 | 2,985 | +53% | 0 | 0 | — |
case-03 | pass→pass | 17,948 | 9,322 | -48% | 1 | 1 | 0% | 2,922 | 2,412 | -17% | 0 | 0 | — |
case-04 | pass→pass | 27,477 | 13,080 | -52% | 1 | 1 | 0% | 4,361 | 2,992 | -31% | 0 | 0 | — |
case-05 | pass→fail | 9,609 | 11,618 | +21% | 1 | 1 | 0% | 1,195 | 2,869 | +140% | 0 | 0 | — |
case-06 | pass→fail | 18,540 | 18,698 | +1% | 1 | 1 | 0% | 3,235 | 2,953 | -9% | 0 | 0 | — |
case-07 | fail→pass | 13,899 | 15,971 | +15% | 1 | 1 | 0% | 2,430 | 3,083 | +27% | 0 | 0 | — |
case-08 | fail→pass | 20,799 | 16,461 | -21% | 1 | 1 | 0% | 3,185 | 3,984 | +25% | 0 | 0 | — |
case-09 | fail→pass | 15,468 | 9,829 | -36% | 1 | 1 | 0% | 2,726 | 2,234 | -18% | 0 | 0 | — |
case-10 | fail→pass | 20,548 | 14,974 | -27% | 1 | 1 | 0% | 2,887 | 2,908 | +1% | 0 | 0 | — |
case-11 | fail→pass | 17,305 | 15,082 | -13% | 1 | 1 | 0% | 2,510 | 2,869 | +14% | 0 | 0 | — |
case-12 | fail→pass | 19,344 | 9,596 | -50% | 1 | 1 | 0% | 3,136 | 2,387 | -24% | 0 | 0 | — |
case-13 | fail→pass | 15,092 | 10,803 | -28% | 1 | 1 | 0% | 2,305 | 2,542 | +10% | 0 | 0 | — |
case-14 | fail→pass | 17,694 | 12,554 | -29% | 1 | 1 | 0% | 2,750 | 2,992 | +9% | 0 | 0 | — |
case-15 | fail→fail | 14,281 | 17,299 | +21% | 1 | 1 | 0% | 2,348 | 4,513 | +92% | 0 | 0 | — |
case-16 | pass→pass | 20,460 | 10,892 | -47% | 1 | 1 | 0% | 3,090 | 2,753 | -11% | 0 | 0 | — |
case-17 | fail→pass | 15,922 | 10,925 | -31% | 1 | 1 | 0% | 2,549 | 2,541 | -0% | 0 | 0 | — |
case-18 | fail→pass | 17,880 | 9,991 | -44% | 1 | 1 | 0% | 2,958 | 2,434 | -18% | 0 | 0 | — |
case-19 | fail→pass | 21,308 | 10,373 | -51% | 1 | 1 | 0% | 3,301 | 2,669 | -19% | 0 | 0 | — |
case-20 | fail→pass | 15,168 | 18,806 | +24% | 1 | 1 | 0% | 2,442 | 4,761 | +95% | 0 | 0 | — |
case-21 | fail→pass | 20,041 | 10,696 | -47% | 1 | 1 | 0% | 2,863 | 2,545 | -11% | 0 | 0 | — |
case-22 | fail→pass | 14,717 | 22,313 | +52% | 1 | 1 | 0% | 2,661 | 4,541 | +71% | 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 +64 percentage points is the difference between those two pass rates over the 22 comparable cases. 2 cases got worse with the skill loaded, and they are 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.