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Get Started Free →Generate siem rule generator operations. Auto-activating skill for Security Advanced. Triggers on: siem rule generator, siem rule generator Part of the Security Advanced skill category. Use when working with siem rule generator functionality. Trigger with phrases like "siem rule generator", "siem generator", "siem".
.claude/skills/dicklesworthstone-siem-rule-generator/SKILL.md| Test case | Without → With | Effect | Δ tokens | Δ turns |
|---|---|---|---|---|
| case-13 | ✗→✓ | ▲ Improved | 22% | 0% |
| case-01 | ✓→✓ | ＝ Same ✓ | 37% | 0% |
| case-02 | ✓→✓ | ＝ Same ✓ | 40% | 0% |
| case-03 | ✓→✓ | ＝ Same ✓ | 24% | 0% |
| case-04 | ✓→✓ | ＝ Same ✓ | 17% | 0% |
This skill provides automated assistance for siem rule generator tasks within the Security Advanced domain.
This skill activates automatically when you:
Example: Basic Usage Request: "Help me with siem rule generator" Result: Provides step-by-step guidance and generates appropriate configurations
| Error | Cause | Solution | |-------|-------|----------| | Configuration invalid | Missing required fields | Check documentation for required parameters | | Tool not found | Dependency not installed | Install required tools per prerequisites | | Permission denied | Insufficient access | Verify credentials and permissions |
Part of the Security Advanced skill category. Tags: pentesting, compliance, soc2, gdpr, threat-modeling
| Case | Status | Duration (ms) | Turns | Tokens | Tool calls | ||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Without | With | Δ | Without | With | Δ | Without | With | Δ | Without | With | Δ | ||
case-01 | pass→pass | 10,364 | 20,008 | +93% | 1 | 1 | 0% | 1,894 | 2,603 | +37% | 0 | 0 | — |
case-02 | pass→pass | 9,997 | 12,185 | +22% | 1 | 1 | 0% | 1,771 | 2,481 | +40% | 0 | 0 | — |
case-03 | pass→pass | 8,371 | 9,562 | +14% | 1 | 1 | 0% | 1,457 | 1,805 | +24% | 0 | 0 | — |
case-04 | pass→pass | 9,049 | 6,878 | -24% | 1 | 1 | 0% | 1,478 | 1,724 | +17% | 0 | 0 | — |
case-05 | pass→pass | 3,779 | 3,906 | +3% | 1 | 1 | 0% | 643 | 1,039 | +62% | 0 | 0 | — |
case-06 | pass→pass | 10,126 | 10,712 | +6% | 1 | 1 | 0% | 1,557 | 2,195 | +41% | 0 | 0 | — |
case-07 | pass→pass | 13,057 | 10,895 | -17% | 1 | 1 | 0% | 1,549 | 1,901 | +23% | 0 | 0 | — |
case-08 | pass→pass | 7,846 | 9,950 | +27% | 1 | 1 | 0% | 1,340 | 2,330 | +74% | 0 | 0 | — |
case-09 | pass→pass | 9,479 | 20,361 | +115% | 1 | 1 | 0% | 1,416 | 2,504 | +77% | 0 | 0 | — |
case-10 | pass→pass | 11,399 | 17,465 | +53% | 1 | 1 | 0% | 1,883 | 2,972 | +58% | 0 | 0 | — |
case-11 | pass→pass | 17,594 | 14,131 | -20% | 1 | 1 | 0% | 2,550 | 2,957 | +16% | 0 | 0 | — |
case-12 | pass→pass | 10,196 | 9,922 | -3% | 1 | 1 | 0% | 1,482 | 2,003 | +35% | 0 | 0 | — |
case-13 | fail→pass | 12,138 | 14,657 | +21% | 1 | 1 | 0% | 2,220 | 2,702 | +22% | 0 | 0 | — |
case-14 | pass→pass | 15,907 | 24,771 | +56% | 1 | 1 | 0% | 3,115 | 3,095 | -1% | 0 | 0 | — |
case-15 | pass→pass | 15,273 | 12,519 | -18% | 1 | 1 | 0% | 1,828 | 2,412 | +32% | 0 | 0 | — |
case-16 | pass→pass | 9,515 | 11,103 | +17% | 1 | 1 | 0% | 1,776 | 2,286 | +29% | 0 | 0 | — |
case-17 | pass→pass | 4,571 | 5,040 | +10% | 1 | 1 | 0% | 499 | 1,083 | +117% | 0 | 0 | — |
case-18 | pass→pass | 11,424 | 17,622 | +54% | 1 | 1 | 0% | 2,108 | 3,090 | +47% | 0 | 0 | — |
case-19 | pass→pass | 15,458 | 17,060 | +10% | 1 | 1 | 0% | 2,361 | 3,473 | +47% | 0 | 0 | — |
case-20 | pass→pass | 24,483 | 23,896 | -2% | 1 | 1 | 0% | 3,577 | 3,693 | +3% | 0 | 0 | — |
case-21 | pass→pass | 20,615 | 25,994 | +26% | 1 | 1 | 0% | 3,185 | 3,442 | +8% | 0 | 0 | — |
case-22 | pass→pass | 17,971 | 24,355 | +36% | 1 | 1 | 0% | 3,366 | 4,507 | +34% | 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 +5 percentage points is the difference between those two pass rates over the 22 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.