Loading skill
Install any skill in seconds. Free to start, no credit card required.
Get Started Free →FFUF Integration - Stub for testing
.claude/skills/shadd0wtaka-ffuf/SKILL.md| Test case | Without → With | Effect | Δ tokens | Δ turns |
|---|---|---|---|---|
| case-11 | ✗→✓ | ▲ Improved | -48% | 0% |
| case-03 | ✗→✓ | ▲ Improved | 119% | 0% |
| case-10 | ✗→✓ | ▲ Improved | 128% | 0% |
| case-12 | ✗→✓ | ▲ Improved | 19% | 0% |
| case-13 | ✗→✓ | ▲ Improved | -46% | 0% |
FFUF Integration - Stub for testing
Category: scanning — Directory & Content Discovery
FFUF Integration - Stub for testing Full implementation needed for production
pythonfrom tools.ffuf_integration import FfufTool async def main(): tool = FfufTool() result = await tool.__init__("target.com") print(result)
pythonfrom tools.ffuf_integration import FfufFuzzer async def main(): tool = FfufFuzzer() result = await tool.__init__("target.com") print(result)
bashffuf --help
deep-recon --tool ffuf_integration --target example.comscanningzen-agents_agent_run agent_type=scanning tool=ffuf_integrationPOST /tools/execute with {"tool_name": "ffuf_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-01 | pass→fail | 5,442 | 11,607 | +113% | 1 | 1 | 0% | 772 | 2,319 | +200% | 0 | 0 | — |
case-11 | fail→pass | 6,320 | 2,322 | -63% | 1 | 1 | 0% | 1,217 | 634 | -48% | 0 | 0 | — |
case-02 | fail→fail | 7,316 | 10,841 | +48% | 1 | 1 | 0% | 501 | 1,136 | +127% | 0 | 0 | — |
case-03 | fail→pass | 8,989 | 14,201 | +58% | 1 | 1 | 0% | 1,283 | 2,813 | +119% | 0 | 0 | — |
case-04 | pass→pass | 7,468 | 4,443 | -41% | 1 | 1 | 0% | 1,294 | 1,062 | -18% | 0 | 0 | — |
case-05 | pass→fail | 25,607 | 13,070 | -49% | 1 | 1 | 0% | 2,452 | 1,777 | -28% | 0 | 0 | — |
case-06 | pass→pass | 15,971 | 10,122 | -37% | 1 | 1 | 0% | 2,559 | 1,860 | -27% | 0 | 0 | — |
case-07 | fail→fail | 13,070 | 13,654 | +4% | 1 | 1 | 0% | 1,371 | 1,316 | -4% | 0 | 0 | — |
case-08 | fail→fail | 7,856 | 10,806 | +38% | 1 | 1 | 0% | 882 | 1,110 | +26% | 0 | 0 | — |
case-09 | pass→pass | 5,587 | 2,149 | -62% | 1 | 1 | 0% | 827 | 624 | -25% | 0 | 0 | — |
case-10 | fail→pass | 10,472 | 13,874 | +32% | 1 | 1 | 0% | 704 | 1,606 | +128% | 0 | 0 | — |
case-12 | fail→pass | 3,203 | 2,584 | -19% | 1 | 1 | 0% | 544 | 650 | +19% | 0 | 0 | — |
case-13 | fail→pass | 14,585 | 11,885 | -19% | 1 | 1 | 0% | 1,026 | 555 | -46% | 0 | 0 | — |
case-14 | fail→pass | 14,720 | 3,628 | -75% | 1 | 1 | 0% | 2,547 | 604 | -76% | 0 | 0 | — |
case-15 | fail→pass | 7,411 | 1,746 | -76% | 1 | 1 | 0% | 1,311 | 521 | -60% | 0 | 0 | — |
case-16 | fail→pass | 10,174 | 4,111 | -60% | 1 | 1 | 0% | 1,735 | 511 | -71% | 0 | 0 | — |
case-17 | fail→pass | 8,692 | 10,364 | +19% | 1 | 1 | 0% | 1,603 | 608 | -62% | 0 | 0 | — |
case-18 | fail→pass | 9,188 | 5,071 | -45% | 1 | 1 | 0% | 1,623 | 1,172 | -28% | 0 | 0 | — |
case-19 | fail→pass | 11,375 | 1,175 | -90% | 1 | 1 | 0% | 1,705 | 423 | -75% | 0 | 0 | — |
case-20 | fail→pass | 4,900 | 15,610 | +219% | 1 | 1 | 0% | 854 | 533 | -38% | 0 | 0 | — |
case-21 | fail→pass | 8,255 | 11,868 | +44% | 1 | 1 | 0% | 1,350 | 482 | -64% | 0 | 0 | — |
case-22 | fail→pass | 6,527 | 1,878 | -71% | 1 | 1 | 0% | 1,068 | 567 | -47% | 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. 2 cases got worse with the skill loaded, and they are 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.