Individual skill
evo-invoice-fraud-detector
Implements fraud detection pipeline with fuzzy vendor matching via rapidfuzz, priority-ordered fraud checks, and JSON report generation.
tasks-evolved/invoice-fraud-detection/environment/skills/evo-invoice-fraud-detector/SKILL.md
Source commit 84ca182da055fafb6453dcec4a6defdbbfd987c1
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- Yes
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- Yes
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- Observed behavior
- Local scripts
- Last checked
- Nov 6, 2026
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- 97
- Repository last updated
- Sep 10, 2026
- License
- Apache-2.0
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- agent-skills Repository topic
- ai-agents Repository topic
- llm-agents Repository topic
- open-world Repository topic
- self-evolving-agents Repository topic
- engineering Derived category
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SKILL.mdcore · 1,501 bytesSKILL.mdcore · 1,501 bytesscripts/utils.pyruns · 4,681 bytes
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# evo-invoice-fraud-detector
Detects invoice fraud using 5 priority-ordered rules.
## Fraud Rules (Priority Order)
1. Unknown Vendor - vendor name not in vendors database (fuzzy match score < 85)
2. IBAN Mismatch - vendor exists but IBAN doesn't match
3. Invalid PO - PO number doesn't exist in PO database
4. Amount Mismatch - PO exists but amount differs by > 0.01
5. Vendor Mismatch - PO valid but linked to different vendor ID
## Key Functions
- `find_vendor_match(vendor_name, vendor_dict)` - Fuzzy match using token_set_ratio, cutoff=85