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Get Started Free →Optional validation gates for Hermes-plugin and advisory workflows. Includes cache validation, methods plan checks, line-count gates, security scanning, plugin export checks, and skill reachability checks. None run in the default pipeline; invoked explicitly when needed.
.claude/skills/docxology-template-gates/SKILL.md| Test case | Without → With | Effect | Δ tokens | Δ turns |
|---|---|---|---|---|
| case-02 | ✗→✓ | ▲ Improved | 92% | 0% |
| case-04 | ✗→✓ | ▲ Improved | -81% | 0% |
| case-05 | ✗→✓ | ▲ Improved | -68% | 0% |
| case-06 | ✗→✓ | ▲ Improved | -51% | 0% |
| case-07 | ✗→✓ | ▲ Improved | -83% | 0% |
Optional validation gate scripts.
bashuv run python scripts/gates/security_scan.py uv run python scripts/gates/module_line_count_check.py uv run python scripts/gates/methods_plan_check.py [--project <name>] uv run python scripts/gates/gate_cache.py uv run python scripts/gates/plugin_export_check.py uv run python scripts/gates/skill_reachability_check.py
scripts/gates/AGENTS.md — detailed gate documentationinfrastructure/validation/ — validation infrastructure| Case | Status | Duration (ms) | Turns | Tokens | Tool calls | ||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Without | With | Δ | Without | With | Δ | Without | With | Δ | Without | With | Δ | ||
case-02 | fail→pass | 14,547 | 17,398 | +20% | 1 | 1 | 0% | 870 | 1,671 | +92% | 0 | 0 | — |
case-01 | fail→fail | 5,023 | 3,625 | -28% | 1 | 1 | 0% | 803 | 325 | -60% | 0 | 0 | — |
case-03 | fail→fail | 3,608 | 4,425 | +23% | 1 | 1 | 0% | 341 | 356 | +4% | 0 | 0 | — |
case-04 | fail→pass | 14,363 | 3,530 | -75% | 1 | 1 | 0% | 2,664 | 509 | -81% | 0 | 0 | — |
case-05 | fail→pass | 10,450 | 1,829 | -82% | 1 | 1 | 0% | 1,554 | 497 | -68% | 0 | 0 | — |
case-06 | fail→pass | 4,580 | 1,415 | -69% | 1 | 1 | 0% | 774 | 380 | -51% | 0 | 0 | — |
case-07 | fail→pass | 12,764 | 1,463 | -89% | 1 | 1 | 0% | 2,289 | 399 | -83% | 0 | 0 | — |
case-08 | fail→pass | 10,206 | 2,400 | -76% | 1 | 1 | 0% | 1,612 | 360 | -78% | 0 | 0 | — |
case-09 | fail→pass | 22,173 | 1,585 | -93% | 1 | 1 | 0% | 1,996 | 424 | -79% | 0 | 0 | — |
case-10 | fail→pass | 8,987 | 1,930 | -79% | 1 | 1 | 0% | 1,470 | 504 | -66% | 0 | 0 | — |
case-11 | fail→pass | 4,685 | 1,604 | -66% | 1 | 1 | 0% | 879 | 376 | -57% | 0 | 0 | — |
case-12 | fail→pass | 7,219 | 1,842 | -74% | 1 | 1 | 0% | 1,316 | 420 | -68% | 0 | 0 | — |
case-13 | fail→pass | 8,939 | 3,283 | -63% | 1 | 1 | 0% | 1,778 | 663 | -63% | 0 | 0 | — |
case-14 | fail→pass | 9,860 | 1,559 | -84% | 1 | 1 | 0% | 1,866 | 380 | -80% | 0 | 0 | — |
case-15 | pass→pass | 8,907 | 1,558 | -83% | 1 | 1 | 0% | 1,292 | 313 | -76% | 0 | 0 | — |
case-16 | fail→pass | 8,336 | 1,475 | -82% | 1 | 1 | 0% | 1,484 | 372 | -75% | 0 | 0 | — |
case-17 | pass→pass | 9,115 | 2,483 | -73% | 1 | 1 | 0% | 1,671 | 622 | -63% | 0 | 0 | — |
case-18 | fail→pass | 8,046 | 2,430 | -70% | 1 | 1 | 0% | 1,491 | 340 | -77% | 0 | 0 | — |
case-19 | fail→pass | 8,937 | 1,521 | -83% | 1 | 1 | 0% | 1,689 | 420 | -75% | 0 | 0 | — |
case-20 | pass→pass | 4,804 | 2,866 | -40% | 1 | 1 | 0% | 905 | 654 | -28% | 0 | 0 | — |
case-21 | pass→pass | 6,150 | 3,093 | -50% | 1 | 1 | 0% | 1,189 | 746 | -37% | 0 | 0 | — |
case-22 | pass→pass | 12,244 | 9,264 | -24% | 1 | 1 | 0% | 2,288 | 2,044 | -11% | 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, and 20 counted toward the lift figure. The other 2 produced results that are not comparable between the two arms, so they are excluded from the headline rather than averaged into it. The headline lift of +68 percentage points is the difference between those two pass rates over the 20 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.