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Get Started Free →Subfinder Integration - Subdomain Discovery
.claude/skills/shadd0wtaka-subfinder/SKILL.md| Test case | Without → With | Effect | Δ tokens | Δ turns |
|---|---|---|---|---|
| case-01 | ✗→✓ | ▲ Improved | 92% | 0% |
| case-07 | ✗→✓ | ▲ Improved | -43% | 0% |
| case-08 | ✗→✓ | ▲ Improved | -59% | 0% |
| case-09 | ✗→✓ | ▲ Improved | 63% | 0% |
| case-11 | ✗→✓ | ▲ Improved | -61% | 0% |
Subfinder Integration - Subdomain Discovery
Category: reconnaissance — Subdomain Discovery & DNS Enumeration
Subfinder Integration - Subdomain Discovery Schnelle Subdomain-Enumeration mit Subfinder
pythonfrom tools.subfinder_integration import SubfinderIntegration async def main(): tool = SubfinderIntegration() result = await tool.__init__("target.com") print(result)
bashsubfinder --help
deep-recon --tool subfinder_integration --target example.comreconnaissancezen-agents_agent_run agent_type=reconnaissance tool=subfinder_integrationPOST /tools/execute with {"tool_name": "subfinder_integration", "target": "example.com"}| Case | Status | Duration (ms) | Turns | Tokens | Tool calls | ||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Without | With | Δ | Without | With | Δ | Without | With | Δ | Without | With | Δ | ||
case-02 | fail→fail | 13,079 | 13,518 | +3% | 1 | 1 | 0% | 1,293 | 1,532 | +18% | 0 | 0 | — |
case-03 | pass→pass | 8,693 | 5,027 | -42% | 1 | 1 | 0% | 1,702 | 1,030 | -39% | 0 | 0 | — |
case-01 | fail→pass | 5,587 | 7,312 | +31% | 1 | 1 | 0% | 849 | 1,631 | +92% | 0 | 0 | — |
case-04 | pass→pass | 12,384 | 13,728 | +11% | 1 | 1 | 0% | 2,063 | 2,767 | +34% | 0 | 0 | — |
case-05 | pass→pass | 7,708 | 3,502 | -55% | 1 | 1 | 0% | 1,297 | 788 | -39% | 0 | 0 | — |
case-06 | fail→fail | 8,859 | 11,285 | +27% | 1 | 1 | 0% | 1,581 | 1,231 | -22% | 0 | 0 | — |
case-07 | fail→pass | 6,597 | 2,859 | -57% | 1 | 1 | 0% | 1,366 | 779 | -43% | 0 | 0 | — |
case-08 | fail→pass | 10,067 | 2,585 | -74% | 1 | 1 | 0% | 1,536 | 628 | -59% | 0 | 0 | — |
case-09 | fail→pass | 2,461 | 2,005 | -19% | 1 | 1 | 0% | 300 | 490 | +63% | 0 | 0 | — |
case-10 | pass→pass | 5,739 | 1,640 | -71% | 1 | 1 | 0% | 838 | 437 | -48% | 0 | 0 | — |
case-11 | fail→pass | 6,496 | 1,468 | -77% | 1 | 1 | 0% | 1,040 | 408 | -61% | 0 | 0 | — |
case-12 | fail→pass | 8,859 | 2,064 | -77% | 1 | 1 | 0% | 1,477 | 546 | -63% | 0 | 0 | — |
case-13 | fail→pass | 11,562 | 11,445 | -1% | 1 | 1 | 0% | 2,039 | 567 | -72% | 0 | 0 | — |
case-14 | fail→pass | 5,143 | 1,825 | -65% | 1 | 1 | 0% | 805 | 557 | -31% | 0 | 0 | — |
case-15 | pass→pass | 4,201 | 10,827 | +158% | 1 | 1 | 0% | 635 | 490 | -23% | 0 | 0 | — |
case-16 | fail→pass | 4,182 | 1,771 | -58% | 1 | 1 | 0% | 615 | 441 | -28% | 0 | 0 | — |
case-17 | fail→pass | 8,786 | 6,532 | -26% | 1 | 1 | 0% | 1,540 | 1,376 | -11% | 0 | 0 | — |
case-18 | fail→pass | 7,708 | 2,029 | -74% | 1 | 1 | 0% | 1,286 | 544 | -58% | 0 | 0 | — |
case-19 | pass→pass | 6,872 | 1,800 | -74% | 1 | 1 | 0% | 1,167 | 472 | -60% | 0 | 0 | — |
case-20 | pass→pass | 3,013 | 2,985 | -1% | 1 | 1 | 0% | 447 | 659 | +47% | 0 | 0 | — |
case-21 | pass→pass | 11,906 | 7,091 | -40% | 1 | 1 | 0% | 2,219 | 1,453 | -35% | 0 | 0 | — |
case-22 | fail→pass | 9,557 | 1,665 | -83% | 1 | 1 | 0% | 1,582 | 430 | -73% | 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 +55 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.