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Get Started Free →Web application security testing workflow for OWASP Top 10 vulnerabilities including injection, XSS, authentication flaws, and access control issues.
.claude/skills/davila7-web-security-testing/SKILL.md| Test case | Without → With | Effect | Δ tokens | Δ turns |
|---|---|---|---|---|
| case-04 | ✗→✓ | ▲ Improved | -7% | 0% |
| case-14 | ✗→✓ | ▲ Improved | -10% | 0% |
| case-15 | ✗→✓ | ▲ Improved | -43% | 0% |
| case-16 | ✗→✓ | ▲ Improved | 34% | 0% |
| case-22 | ✗→✓ | ▲ Improved | 16% | 0% |
Specialized workflow for testing web applications against OWASP Top 10 vulnerabilities including injection attacks, XSS, broken authentication, and access control issues.
Use this workflow when:
scanning-tools - Security scanningtop-web-vulnerabilities - OWASP knowledgeUse @scanning-tools to perform web application reconnaissancesql-injection-testing - SQL injectionsqlmap-database-pentesting - SQLMapUse @sql-injection-testing to test for SQL injectionUse @sqlmap-database-pentesting to automate SQL injection testingxss-html-injection - XSS testinghtml-injection-testing - HTML injectionUse @xss-html-injection to test for cross-site scriptingbroken-authentication - Authentication testingUse @broken-authentication to test authentication securityidor-testing - IDOR testingfile-path-traversal - Path traversalUse @idor-testing to test for insecure direct object referencesUse @file-path-traversal to test for path traversalapi-security-best-practices - Security headersUse @api-security-best-practices to audit security headersreporting-standards - Security reportingUse @reporting-standards to create security reportsecurity-audit - Security auditingapi-security-testing - API securitywordpress-security - WordPress security| Case | Status | Duration (ms) | Turns | Tokens | Tool calls | ||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Without | With | Δ | Without | With | Δ | Without | With | Δ | Without | With | Δ | ||
case-06 | fail→fail | 15,364 | 12,040 | -22% | 1 | 1 | 0% | 2,605 | 2,936 | +13% | 0 | 0 | — |
case-01 | fail→fail | 23,462 | 20,891 | -11% | 1 | 1 | 0% | 1,982 | 3,098 | +56% | 0 | 0 | — |
case-02 | fail→fail | 18,082 | 21,021 | +16% | 1 | 1 | 0% | 1,990 | 3,590 | +80% | 0 | 0 | — |
case-03 | fail→fail | 44,816 | 16,782 | -63% | 1 | 1 | 0% | 3,115 | 3,910 | +26% | 0 | 0 | — |
case-04 | fail→pass | 16,826 | 10,751 | -36% | 1 | 1 | 0% | 3,005 | 2,787 | -7% | 0 | 0 | — |
case-05 | fail→fail | 15,648 | 9,553 | -39% | 1 | 1 | 0% | 2,521 | 2,444 | -3% | 0 | 0 | — |
case-07 | fail→fail | 19,427 | 16,356 | -16% | 1 | 1 | 0% | 3,226 | 3,443 | +7% | 0 | 0 | — |
case-08 | fail→fail | 15,787 | 11,558 | -27% | 1 | 1 | 0% | 2,624 | 2,848 | +9% | 0 | 0 | — |
case-09 | fail→fail | 12,998 | 11,412 | -12% | 1 | 1 | 0% | 2,356 | 3,151 | +34% | 0 | 0 | — |
case-10 | fail→fail | 15,159 | 11,775 | -22% | 1 | 1 | 0% | 2,368 | 2,766 | +17% | 0 | 0 | — |
case-11 | pass→pass | 11,756 | 6,502 | -45% | 1 | 1 | 0% | 2,237 | 2,096 | -6% | 0 | 0 | — |
case-12 | pass→pass | 4,974 | 5,663 | +14% | 1 | 1 | 0% | 804 | 1,895 | +136% | 0 | 0 | — |
case-13 | pass→pass | 4,477 | 5,306 | +19% | 1 | 1 | 0% | 753 | 1,866 | +148% | 0 | 0 | — |
case-14 | fail→pass | 12,838 | 5,131 | -60% | 1 | 1 | 0% | 2,062 | 1,850 | -10% | 0 | 0 | — |
case-15 | fail→pass | 16,543 | 3,079 | -81% | 1 | 1 | 0% | 2,548 | 1,455 | -43% | 0 | 0 | — |
case-16 | fail→pass | 15,499 | 13,844 | -11% | 1 | 1 | 0% | 2,409 | 3,221 | +34% | 0 | 0 | — |
case-22 | fail→pass | 25,795 | 16,186 | -37% | 1 | 1 | 0% | 3,280 | 3,789 | +16% | 0 | 0 | — |
case-17 | fail→pass | 9,125 | 7,526 | -18% | 1 | 1 | 0% | 709 | 1,496 | +111% | 0 | 0 | — |
case-18 | fail→fail | 7,144 | 5,980 | -16% | 1 | 1 | 0% | 1,113 | 1,913 | +72% | 0 | 0 | — |
case-19 | fail→pass | 15,818 | 4,149 | -74% | 1 | 1 | 0% | 2,404 | 1,469 | -39% | 0 | 0 | — |
case-20 | fail→fail | 24,392 | 20,254 | -17% | 1 | 1 | 0% | 4,019 | 4,266 | +6% | 0 | 0 | — |
case-21 | fail→fail | 20,390 | 19,204 | -6% | 1 | 1 | 0% | 1,836 | 2,711 | +48% | 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 +32 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.