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Get Started Free →API security testing workflow for REST and GraphQL APIs covering authentication, authorization, rate limiting, input validation, and security best practices.
.claude/skills/sickn33-api-security-testing/SKILL.md| Test case | Without → With | Effect | Δ tokens | Δ turns |
|---|---|---|---|---|
| case-04 | ✗→✓ | ▲ Improved | -5% | 0% |
| case-11 | ✗→✓ | ▲ Improved | -40% | 0% |
| case-12 | ✗→✓ | ▲ Improved | -47% | 0% |
| case-18 | ✗→✓ | ▲ Improved | 10% | 0% |
| case-14 | ✓→✗ | ▼ Worse | -5% | 0% |
Specialized workflow for testing REST and GraphQL API security including authentication, authorization, rate limiting, input validation, and API-specific vulnerabilities.
Use this workflow when:
api-fuzzing-bug-bounty - API fuzzingscanning-tools - API scanningUse @api-fuzzing-bug-bounty to discover API endpointsbroken-authentication - Auth testingapi-security-best-practices - API authUse @broken-authentication to test API authenticationidor-testing - IDOR testingUse @idor-testing to test API authorizationapi-fuzzing-bug-bounty - API fuzzingsql-injection-testing - Injection testingUse @api-fuzzing-bug-bounty to fuzz API parametersapi-security-best-practices - Rate limitingUse @api-security-best-practices to test rate limitingapi-fuzzing-bug-bounty - GraphQL fuzzingUse @api-fuzzing-bug-bounty to test GraphQL securityapi-security-best-practices - Error handlingUse @api-security-best-practices to audit API error handlingsecurity-audit - Security auditingweb-security-testing - Web securityapi-development - API development| Case | Status | Duration (ms) | Turns | Tokens | Tool calls | ||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Without | With | Δ | Without | With | Δ | Without | With | Δ | Without | With | Δ | ||
case-15 | pass→pass | 10,519 | 7,711 | -27% | 1 | 1 | 0% | 1,622 | 2,027 | +25% | 0 | 0 | — |
case-09 | fail→fail | 21,901 | 22,591 | +3% | 1 | 1 | 0% | 3,574 | 4,207 | +18% | 0 | 0 | — |
case-01 | fail→fail | 24,082 | 14,715 | -39% | 1 | 1 | 0% | 2,399 | 2,318 | -3% | 0 | 0 | — |
case-02 | fail→fail | 20,821 | 9,078 | -56% | 1 | 1 | 0% | 3,468 | 1,928 | -44% | 0 | 0 | — |
case-03 | fail→fail | 19,643 | 13,118 | -33% | 1 | 1 | 0% | 2,407 | 2,266 | -6% | 0 | 0 | — |
case-04 | fail→pass | 20,077 | 14,073 | -30% | 1 | 1 | 0% | 3,307 | 3,158 | -5% | 0 | 0 | — |
case-05 | fail→fail | 19,732 | 11,242 | -43% | 1 | 1 | 0% | 3,088 | 2,776 | -10% | 0 | 0 | — |
case-06 | fail→fail | 22,177 | 22,774 | +3% | 1 | 1 | 0% | 3,661 | 4,652 | +27% | 0 | 0 | — |
case-07 | fail→fail | 24,400 | 17,904 | -27% | 1 | 1 | 0% | 3,850 | 3,018 | -22% | 0 | 0 | — |
case-08 | fail→fail | 22,876 | 14,466 | -37% | 1 | 1 | 0% | 3,485 | 3,258 | -7% | 0 | 0 | — |
case-10 | fail→fail | 19,149 | 19,483 | +2% | 1 | 1 | 0% | 3,037 | 4,194 | +38% | 0 | 0 | — |
case-11 | fail→pass | 10,666 | 1,773 | -83% | 1 | 1 | 0% | 1,905 | 1,144 | -40% | 0 | 0 | — |
case-12 | fail→pass | 14,599 | 1,906 | -87% | 1 | 1 | 0% | 2,253 | 1,187 | -47% | 0 | 0 | — |
case-13 | pass→pass | 15,226 | 8,769 | -42% | 1 | 1 | 0% | 2,503 | 2,297 | -8% | 0 | 0 | — |
case-14 | pass→fail | 19,026 | 12,698 | -33% | 1 | 1 | 0% | 3,101 | 2,940 | -5% | 0 | 0 | — |
case-16 | pass→pass | 18,380 | 4,523 | -75% | 1 | 1 | 0% | 2,937 | 1,520 | -48% | 0 | 0 | — |
case-17 | fail→fail | 16,556 | 13,697 | -17% | 1 | 1 | 0% | 2,836 | 3,244 | +14% | 0 | 0 | — |
case-18 | fail→pass | 13,910 | 10,523 | -24% | 1 | 1 | 0% | 2,439 | 2,675 | +10% | 0 | 0 | — |
case-19 | pass→pass | 19,184 | 12,140 | -37% | 1 | 1 | 0% | 3,397 | 3,011 | -11% | 0 | 0 | — |
case-20 | pass→pass | 19,136 | 16,884 | -12% | 1 | 1 | 0% | 3,684 | 4,021 | +9% | 0 | 0 | — |
case-21 | pass→pass | 21,679 | 20,622 | -5% | 1 | 1 | 0% | 4,265 | 4,265 | 0% | 0 | 0 | — |
case-22 | pass→pass | 15,651 | 19,601 | +25% | 1 | 1 | 0% | 2,977 | 4,678 | +57% | 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.