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Get Started Free →Sign Windows executables with Authenticode using signtool, supporting EV and standard certificates
.claude/skills/a5c-ai-windows-authenticode-signer/SKILL.md| Test case | Without → With | Effect | Δ tokens | Δ turns |
|---|---|---|---|---|
| case-01 | ✗→✓ | ▲ Improved | -2% | 0% |
| case-14 | ✗→✓ | ▲ Improved | -64% | 0% |
| case-15 | ✗→✓ | ▲ Improved | -73% | 0% |
| case-02 | ✓→✓ | ＝ Same ✓ | -36% | 0% |
| case-03 | ✓→✓ | ＝ Same ✓ | 14% | 0% |
Sign Windows executables with Authenticode using signtool. This skill configures code signing for Windows applications with standard and EV certificates, timestamping, and CI/CD integration.
json{ "type": "object", "properties": { "executablePath": { "type": "string" }, "certificateSource": { "enum": ["file", "store", "azure-keyvault", "digicert"] }, "timestampServer": { "type": "string" }, "hashAlgorithm": { "enum": ["SHA256", "SHA1", "dual"] } }, "required": ["executablePath"] }
powershell# Sign with PFX file signtool sign /f certificate.pfx /p password /fd SHA256 /tr http://timestamp.digicert.com /td SHA256 MyApp.exe # Sign with certificate store signtool sign /n "My Company" /fd SHA256 /tr http://timestamp.digicert.com /td SHA256 MyApp.exe # Sign with Azure Key Vault AzureSignTool sign -kvu https://myvault.vault.azure.net -kvi $AZURE_CLIENT_ID -kvt $AZURE_TENANT_ID -kvs $AZURE_CLIENT_SECRET -kvc MyCertificate -tr http://timestamp.digicert.com -td sha256 MyApp.exe
powershellsigntool verify /pa /v MyApp.exe
msix-package-generatorcode-signing-setup process| Case | Status | Duration (ms) | Turns | Tokens | Tool calls | ||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Without | With | Δ | Without | With | Δ | Without | With | Δ | Without | With | Δ | ||
case-01 | fail→pass | 8,520 | 5,623 | -34% | 1 | 1 | 0% | 1,789 | 1,754 | -2% | 0 | 0 | — |
case-02 | pass→pass | 8,668 | 3,779 | -56% | 1 | 1 | 0% | 1,782 | 1,136 | -36% | 0 | 0 | — |
case-03 | pass→pass | 6,342 | 3,420 | -46% | 1 | 1 | 0% | 1,024 | 1,172 | +14% | 0 | 0 | — |
case-04 | pass→pass | 4,638 | 3,953 | -15% | 1 | 1 | 0% | 915 | 1,227 | +34% | 0 | 0 | — |
case-05 | pass→pass | 5,263 | 2,718 | -48% | 1 | 1 | 0% | 962 | 933 | -3% | 0 | 0 | — |
case-06 | pass→pass | 3,364 | 3,489 | +4% | 1 | 1 | 0% | 648 | 1,166 | +80% | 0 | 0 | — |
case-07 | pass→pass | 3,494 | 2,739 | -22% | 1 | 1 | 0% | 713 | 1,016 | +42% | 0 | 0 | — |
case-08 | pass→pass | 13,942 | 6,601 | -53% | 1 | 1 | 0% | 2,176 | 1,639 | -25% | 0 | 0 | — |
case-09 | pass→pass | 3,779 | 3,412 | -10% | 1 | 1 | 0% | 575 | 1,064 | +85% | 0 | 0 | — |
case-10 | pass→pass | 2,298 | 2,391 | +4% | 1 | 1 | 0% | 381 | 855 | +124% | 0 | 0 | — |
case-11 | pass→pass | 3,115 | 2,512 | -19% | 1 | 1 | 0% | 642 | 902 | +40% | 0 | 0 | — |
case-12 | pass→pass | 8,763 | 1,954 | -78% | 1 | 1 | 0% | 1,509 | 801 | -47% | 0 | 0 | — |
case-13 | pass→pass | 3,416 | 2,458 | -28% | 1 | 1 | 0% | 651 | 897 | +38% | 0 | 0 | — |
case-14 | fail→pass | 13,805 | 2,047 | -85% | 1 | 1 | 0% | 2,078 | 752 | -64% | 0 | 0 | — |
case-15 | fail→pass | 14,972 | 1,563 | -90% | 1 | 1 | 0% | 2,537 | 697 | -73% | 0 | 0 | — |
case-16 | pass→pass | 2,949 | 2,758 | -6% | 1 | 1 | 0% | 448 | 752 | +68% | 0 | 0 | — |
case-17 | pass→pass | 3,181 | 2,354 | -26% | 1 | 1 | 0% | 585 | 760 | +30% | 0 | 0 | — |
case-18 | pass→pass | 2,556 | 2,595 | +2% | 1 | 1 | 0% | 461 | 880 | +91% | 0 | 0 | — |
case-19 | pass→pass | 3,492 | 2,252 | -36% | 1 | 1 | 0% | 633 | 890 | +41% | 0 | 0 | — |
case-20 | pass→pass | 3,850 | 3,624 | -6% | 1 | 1 | 0% | 693 | 1,023 | +48% | 0 | 0 | — |
case-21 | pass→pass | 10,916 | 14,851 | +36% | 1 | 1 | 0% | 2,183 | 2,309 | +6% | 0 | 0 | — |
case-22 | pass→pass | 5,317 | 6,116 | +15% | 1 | 1 | 0% | 1,003 | 1,626 | +62% | 0 | 0 | — |
case-23 | pass→pass | 5,754 | 4,632 | -19% | 1 | 1 | 0% | 1,109 | 1,307 | +18% | 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. 23 cases were attempted. The headline lift of +13 percentage points is the difference between those two pass rates over the 23 comparable cases.
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.