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Oil Filter For MV Agusta 8000B1552 Triumph T1210444 T1218001 Arctic Cat 600 650

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Description

Oil Filter For MV Agusta 8000B1552 Triumph T1210444 T1218001 Arctic Cat 600 650Normal 0 7. 8 pt 0 2 false false false MicrosoftInternetExplorer4 Description Brand New Oil Filter Fitment: Replaces OEM Numbers: Arctic Cat 3201 044 Honda 15400 PFB 014 Honda 15410 MCJ 000 Honda 15410 MCJ 003 Honda 15410 MCJ 505 Honda 15410 MFJ D01 Kawasaki 16097 0002 Kawasaki 16097 0003 Kawasaki 16097 0007 Kawasaki 16097 1068 Kawasaki 16097 1070 Kawasaki 16097 1072 MV Agusta 8000A9294 MV Agusta 8000B1552 Triumph T1210444 Triumph T1218001 Yamaha 1WD

Description

Brand New Oil Filter

Fitment: Replaces OEM Numbers: Arctic Cat 3201-044

 

Honda 15400-PFB-014

Honda 15410-MCJ-000

Honda 15410-MCJ-003

Honda 15410-MCJ-505

Honda 15410-MFJ-D01

 

Kawasaki 16097-0002

Kawasaki 16097-0003

Kawasaki 16097-0007

Kawasaki 16097-1068

Kawasaki 16097-1070

Kawasaki 16097-1072

 

MV Agusta 8000A9294

MV Agusta 8000B1552

 

Triumph T1210444

Triumph T1218001

 

Yamaha 1WD-E3440-00

Yamaha 5GH-13440-20

Yamaha 5GH-13440-50

 

Application Models,

Arctic Cat ATV:

600 4x4 04

600 4x4 LE 04

650 V-2 4x4 Automatic 04-05

650 V-2 4x4 06

650 V-2 4x4 Automatic LE 04-05

650 V-2 4x4 LE TS 06

Honda Marine:

9.9 hp 01-

15 hp 03-

20 hp 03-

25 hp1003207 - 05-

30 hp1005017- 05-

40 hp3007643- 05-

50 hp3014457- 05-

AquaTrax F-15 09

AquaTrax F-15X 08-09

AquaTrax F-12 02-07

AquaTrax F-12X 02-07

AquaTrax R-12X 03-07

AquaTrax R-12 04-06

AquaTrax F-12X GPScape 05-07

AquaTrax F-15X GPScape 08-09

Honda Motorcycle:

CB500 F-D,E,F 13-15

CB500 F-G,H 16-17

CB500 X-D,E,F,G,H 13-17

CBR500 R-D,E,F,G 13-16

CBR500 R-H 17

CB600 F-3,4,5,6 Hornet 03-06

CB600 F/FA-7,8,9,A,B,C,D Hornet 07-13

CB600 S-F3 Hornet 03

CB600 F (599) (USA) USA04-07

CBF600 N/NA-4,5,6,7 04-07

CBF600 N/NA-8,9,A,B 08-11

CBF600 S/SA-4,5,6,7 ABS 04-07

CBF600 S/SA-8,9,A,B,C ABS 08-12

CBR600 F-1,2,3,4,5,6,7 01-07

CBR600 F/FA-B,C,D 11-13

CBR600 FA-B (ABS) 11

CBR600 FS-1,FS-2 Sport 01-02

CBR600 F4i (USA) USA01-06

CBR600 RA-9,A,B,C,D,E,F,G (C-ABS) 09-16

CBR600 RR-3,4,5,6 03-06

CBR600 RR-7,8,9,A,B,C,D,E,F,G 07-16

CB650 F-E,F,G 14-16

CBR650 F / FA - E,F,G 14-16

670 NM4 Vultus 15-16

CTX700 14-16

CTX700 DCT 14-16

CTX700 N 14-16

CTX700 N DCT 14-16

NC700 S 12-14

NC700 S (DCT)Engine Filter 12-14

NC700 X / XD 12-15

NC700 JD (DCT) (USA) USA15-17

NSA700 A (DN-01)Engine Filter 08-10

NT700 V/VA-6,7,8,9,A,B,C,D Deauville (ABS)RC52 06-13

NT700 V Deauville Travel (ABS) 09

XL700 V/VA-8,9,A,B,C,D TransalpRD13 08-13

NC750 S DCTEngine Filter 14-16

NC750 X 14-16

NC750 X DCTEngine Filter 14-16

750 Intergra 14-16

750 Intergra DCTEngine Filter 14-16

VT750 C,CA,CF Shadow AeroRC50 04-16

VT750 C Shadow 08

VT750 C2 Shadow Spirit 04-15

VT750 C2B Shadow Phantom / Black SpiritRC53 10-16

VT750 RS Shadow RC58 10-13

VT750 S-B,C,DRC58 11-13

VFR800 F1-2,3 Interceptor RC46 02-03

VFR800 F1-4,5,6,7,8,9,A,B Interceptor V TECRC46 04-11

VFR800 F1-2,3,4,5,6,7,8.9,A,B Interceptor V TEC (ABS)RC46 02-11

VFR800 X-B,C,D,E,F,G Crossrunner 11-16

CB900 F HornetSC48 02-07

CB900 F 919 (USA) USA02-07

CBR900 RR-Y,1 Fire Blade 00-01

CBR900 RR-2,3 Fire Blade 02-03

CBR929 RR (USA) USA00-01

CBR954 RR (USA) USA02-03

CB1000 R/RA-8,9,A,B,C,D,E,FSC60 08-15

CBF1000 A/S/T-6,7,8,9,ASC58 06-10

CBF1000 B,C,D,E,F 11-15

CBF1000 F Ltd Ed. 09

CBF1000 F Travel 07-10

CBF1000 F (ABS)SC58 06-10

CBF1000 F/FA-B,C,D,E,F,G 11-16

CBR1000 RR-4,5,6,7 Fireblade (requires 2 x air filters)SC57 04-07

CBR1000 RR-8,9,A,B,C,D,E,F,G FirebladeSC59 08-16

CBR1000 RR-E,F,G Fireblade SP 14-16

CBR1000 RA-A,B,C,D,E,F,G Fireblade (C-ABS) 10-16

CBR1000 S-G (USA) USA15-16

CRF1000 L-G Africa Twin (requires 2 x air filters) (Australia) Australia16

CRF1000 A-G,H Africa Twin (requires 2 x air filters) 16-17

CRF1000 D-G,H Africa Twin DCT (requires 2 x air filters)Engine Filter 16-17

RC51 (RVT1000 R) (requires 2 x air filters) (USA)RC51USA00-06

VTR1000 F Fire StormSC36 03-05

VTR1000 F Super Hawk 03-05

VTR1000 SP-1,SP-2 (requires 2 x air filters)SC45 01-06

XL1000 V-3,4,5,6,7,8,9,A,B,C,D VaraderoSD02 03-13

XL1000 VA-5,6,7,8,9,A,B,C Varadero (ABS)SD02 05-13

XL1000 V-5,6,7,8,9 Varadero Travel 05-09

XL1000 V-9 Varadero Comfort 09

CB1100 D,E,F,G 13-16

VFR1200 F V4 10-12

VFR1200 F DCT V4 10-12

VFR1200 X-C,D,E,F,G Crosstourer 12-16

VFR1200 X Crosstourer DCT 14-15

VFR1200 X Crosstourer Highland T 15

CB1300 F-3,4,5,6,7,8,9,A (ABS)SC54 03-10

CB1300 S/SA-5,6,7,8,9,A,B,C,D (ABS)SC54 05-13

CTX1300 14-16

ST1300 Pan EuropeanSC51 02-15

ST1300 A ABS Pan EuropeanSC51 02-15

ST1300 PA Police (USA) USA11

VT1300 CR,CRA Stateline 10-16

VT1300 CS,CSA Sabre 10-15

VT1300 CT,CTA Interstate 10-15

VT1300 CX,CXA Fury 10-16

VTX1300 C / R / T 04-09

VTX1300 S RetroSC52 03-07

GL1800 Gold WingSC47 01-16

GL1800 Gold Wing (ABS)SC47 03-05

GL1800 Gold Wing Deluxe 13-15

GL1800 B F6B Gold Wing 13-14

GL1800 B F6B Gold Wing 15-16

GL1800 C Gold Wing Valkyrie 14-15

GL1800 F6C Gold Wing 14-16

GL1800 P Gold Wing Premium AudioSC47 06-07

GL1800 HP Gold Wing Audio/ComfortSC47 06-10

GL1800 HPN Gold Wing Audio/Comfort/NaviSC47 06-10

GL1800 HPNA Gold Wing Audio/Comfort/Navi/ABSSC47 06-10

GL1800 HPNM Gold Wing Audio/Comfort/Navi XM 10

GL1800 HPNM Gold Wing Audio/Comfort/Navi XM ABS 10

GL1800 BM Gold Wing Airbag 10

NRX1800 Valkyrie Rune 04-05

VTX1800 C / F / N / R / S / TSC46 02-08

Honda Scooter:

NSS250 Forza X / EX-8 08

NSS250 Forza A / S - 8,9,A,B,C 08-12

NSS300 Forza 13-16

SH300i 7,8,9,A,B,C,D (ABS)NF02 07-15

SH300i 7,8,9,A,B,C,D Sporty (ABS)NF02 08-15

SH300i C-ABS 16

FSC400 Silver Wing (FJS400) 06-09

FSC400 SW-T (FJS400) 09-15

FSC600 Silver Wing (FJS600) 01-04

FSC600 A,D Silver Wing (ABS) (FJS600) 03-11

FSC600 SW-T (FJS600) 11-16

700 Integra (DCT)Engine Filter 12-14

Kawasaki ATV:

KVF360 A1-A3,A6F-ADF Prairie 4x4 03-15

KVF360 B1-B3,B6F,B7F,B8F,B9F Prairie 03-09

KVF360 C1 Prairie Advantage Classic 03

KVF360 C2-C3,C6F-CAF Prairie 4x4 Hardwoods Green HD 04-10

KVF360 CBF Prairie 4x4 Realtree APG HD 11

KVF650 A1-A2,B1-B2 Prairie 02-03

KVF650 D1,D6F-D9F,DAF-DDF Brute Force 4 x 4 05-13

KVF650 E1,E6F-E9F Brute Force 4 x 4 Realtree Hard. Green HD 05-09

KVF650 F6F-F9F,FAF-FEF Brute Force 4 x 4i 06-15

KVF650 G6F-G9F Brute Force 4 x 4i Realtree Hard. Green HD 06-09

KVF650 H7F,H8F Brute Force 4 x 4i 07-08

KFX700 A1-A2, B2 V Force (KSV700) 04-05

KFX700 A6F,A7F,A8F,A9F,B6F,B7F,B8F,B9F,C6F (KSV700) 06-09

KVF700 A1-A2,A6F Prairie 4x4 04-06

KVF700 B1-B2 Prairie 4x4 Hardwoods Green HD 04-05

KVF700 D1,D6F Team Green Special Edition 05-06

KVF750 A1 Brute Force 4x4i 05

KVF750 A1 Brute Force 4x4i Realtree Hardwoods Green HD 05

KVF750 A6F,A7F,B6F,B7F,C6F,C7F Brute Force 4x4i 06-07

KVF750 D8F,D9F,DAF,DBF Brute Force 4x4i 08-11

KVF750 LCF,LCS,LDF,LEF,LFF,LGF Brute Force 4x4i 12-16

KVF750 D8FA,D9FA Brute Force 4x4i NRA Outdoors 08-09

KVF750 E8F,E9F,EAF Brute Force 4x4i Realtree Hardwoods Green HD 08-10

KVF750 E8FA,E9FA Brute Force 4x4i NRA Outdoors 08-09

KVF750 F8F,F9F,FAF,FBF Brute Force 4x4i NRA Outdoors 08-11

KVF750 GCF-GEF,HCF-HEF,JCF-JEF Brute Force 4x4i EPS 12-14

KVF750 GFF,GGF,HFF,JFF,JGF Brute Force 4x4i EPS 15-16

Kawasaki Marine:

Jet Ski STX 15F 11-16

Jet Ski Ultra 250X 07-08

Jet Ski Ultra 260LX 09-12

Jet Ski Ultra 260X 09-12

Jet Ski Ultra 300LX 11-12

Jet Ski Ultra 300X 11-12

Jet Ski Ultra 310R 14-16

Jet Ski Ultra 310LX 14

Jet Ski Ultra 310X 14-16

Jet Ski Ultra 310X SE 14-16

Jet Ski Ultra LX 12-16

Kawasaki Motorcycle:

EN500 C8-C10,C6F Vulcan 500 Ltd 03-06

EX500 D10 (GPZ500 S) 03

EX500 D11-D12,D6F Ninja 500R 04-06

KLE500 A13, B1P 03-05

ZX600 E10-E12 (ZZR600) 02-04

ZX600 J4,J6F (ZZR600) (USA) USA05-06

ZX600 J3 (ZX6-R Ninja) 02

ZX600 K1,M1 (ZX6-RR Ninja) 03-04

ZX600 N1,N6F (ZX6-RR Ninja) 05-06

ZX636 A1P (ZX6-R Ninja) 02

ZX636 B1-B2 (ZX6-R Ninja) 03-04

ZX636 C1,C6F,D6F (ZX6-R Ninja) 05-06

ER-6f A6F,B6F (EX650) 06

ER-6n A6F,B6F (ER650) 06

W650 A1,A2,A3,A4 (EJ650) 99-02

W650 C1,C2,C3,C4,C5 (EJ650) 99-05

VN750 A20-A21,A6F Vulcan 04-06

Z750 J1,J6F (ZR750) 04-06

Z750 S K1,K6F (ZR750 S) 05-06

VN800 A9-A11 Vulcan 03-05

VN800 B7-B10 Vulcan Classic 02-05

VN800 E3-E5,E6F Drifter 03-06

ZX900 F1,F2 Ninja (ZX-9R) 02-03

Z1000 A1,A2,A3,A6F (ZR1000) 03-06

ZX-10R (ZX1000 C1,C2) Ninja 04-05

 

Delivery

 
WE DELIVER AUSTRALIA WIDE VIA POST OFFICE OR COURIER WITHIN 1 WORKING DAY AFTER PAYMENT IS CLEARED.

Payment

 
WE ACCEPT BANK DEPOSIT AND PAYPAL PAYMENT ONLY.

Warranty

 
WE OFFERS 100% MONEY BACK GUARRANTEE ON ALL PURCHASES EXCEPT UNDERWEARS FOR HYGIENE REASON.


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SKU: 88740748939

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4.2 ★★★★★
Based on 29 reviews
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Product Reviews
B
Brahmananda Reddy
New York, US
★★★★★ 5
Practical AI Engineering Beyond Prompts — One of the Better Books on Agentic Coding
Format: Paperback
This book is not another “AI coding hype” book. A lot of books talk about agents at a very high level. This one actually explains how things work when you try to use them inside real development workflows. That was the biggest difference for me. What I liked most was the focus on context engineering, memory, MCP, hooks, subagents, and workflow orchestration instead of just “prompt better.” The author spends time explaining why long-running agent systems fail, how context grows over time, and why most AI coding setups become messy without structure. The examples also feel practical — The HookHub project, Next.js setup, GitHub workflows, Claude memory files, and MCP integrations make it easier to connect theory with actual implementation. From my retail domain experience perspective, I could immediately connect this to forecasting and pricing workflows. For example: * agents helping analysts generate specs before model development * automated code review for promo forecasting pipelines * isolated subagents for pricing, promotions, assortment * persistent memory for business rules across teams * MCP integrations to pull context from internal systems safely The section around context isolation and subagents especially stood out because that is very similar to how enterprise forecasting teams already operate in reality. Different teams own different decision spaces. One thing I appreciated: the author does not oversell AI. There is a strong focus on constraints, context pollution, hallucinations, performance degradation, and workflow reliability. That makes the book feel grounded instead of marketing-heavy. This is not for complete beginners though. If someone has never worked with Git, APIs, coding agents, or LLM workflows, parts of the book may feel overwhelming early on. The author clearly says this is not beginner-level content. Overall, probably one of the more practical books I have read recently on agentic coding systems. Good for: * software engineers * AI engineers * enterprise architecture teams * technical product teams * analytics leaders trying to operationalize AI development workflows Especially useful if your organization is trying to move from “AI demos” into actual production workflows.
WAS THIS REVIEW HELPFUL?YesReportShare
Reviewed in the United States on May 20, 2026
U
UA
Lexington, US
★★★★★ 5
A Good Reality Check on How AI Agents Actually Work in Enterprise Systems
Format: Paperback
Most AI books stop at prompts. This one goes deeper into how agent systems actually behave once you try to use them inside large workflows with memory, tools, permissions, automation, and multiple agents working together. That part felt very relevant for healthcare and enterprise environments. The book does a good job explaining why context engineering matters and how poor context handling creates hallucinations, inconsistent outputs, and degraded performance over time. Honestly, that is one of the biggest problems organizations underestimate right now. In healthcare workflows, context matters a lot: * prior interactions * business rules * auditability * escalation logic * safety constraints * tool permissions * workflow boundaries The sections on persistent memory, scoped context, subagents, and structured workflows connected strongly to that reality. I work in enterprise analytics, and while reading this book I kept thinking about use cases like: * pharmacy workflow automation * prior authorization support systems * coding assistants for healthcare engineering teams * AI copilots for operational analytics * agent-based escalation systems * claims and workflow orchestration The MCP chapters were also useful because they explain integration challenges clearly instead of treating tooling as magic. What made this book stand out for me was the balance between implementation and architecture. The author explains: * why long contexts fail * how context poisoning happens * why isolation matters * when parallel agents help * when they actually create more complexity That level of honesty is missing in many AI books right now. Another thing: the examples are not overly academic — The Next.js project setup, GitHub automation, Claude desktop workflows, memory systems, hooks, and subagents make the learning process feel practical and hands-on. One limitation: this book assumes technical background. Someone completely new to coding agents, LLMs, Git, or development workflows may struggle in the first few chapters. But for engineers, AI teams, enterprise architects, and technical leaders trying to understand where agentic coding is actually going, this book is worth reading. Especially for organizations trying to operationalize AI safely instead of just experimenting with chatbots.
WAS THIS REVIEW HELPFUL?YesReportShare
Reviewed in the United States on May 20, 2026
C
Christopher West
Charlottesville, US
★★★★★ 5
Great book! Practical and for developers that already use AI!
Format: Paperback
I purchased "Agentic Coding" by Claude Code due to my desire for an alternative to generic "Prompt Template" type resources related to AI-based development. This book accomplishes just that. As opposed to merely viewing Claude Code as a "magic box", the author has explained how to utilize it in conjunction with other actual development processes. The authors' emphasis on "context engineering" (i.e., structuring data/information; managing knowledge in a project; guiding an AI agent to produce consistent results vs. producing random/unknown results) represents the strongest component of the book. It should be noted that the book appears to be intended primarily for experienced developers with prior experience in software development and/or familiarity with AI-based development tools. Should you be familiar with Git, the command-line interface, and/or modern development processes, you may find this resource very helpful. Conversely, I did appreciate the fact that there were no novice-oriented descriptions provided throughout the book. The aspect of the book that I found most valuable, however, is the extremely pragmatic nature of the material contained within. The examples illustrated through developing/maintaining CLAUDE.md files; utilizing Claude Code in combination with GitHub Workflows; employing MCP Servers; and creating multi-agent or sub-agent workflows all seemed to reflect a clear focus on "real world usage" rather than theoretical constructs. In addition, each chapter builds upon previous chapters in such a manner as to provide a logical progression through which the reader can easily understand and ultimately implement the concepts learned. I also appreciated that the author included guidance on responsible utilization of the tool(s), as well as maintaining control over what changes are made by the agent. While numerous books regarding AI focus solely on what AI tools can accomplish, this book addresses both how to utilize these tools effectively in a real codebase, as well as responsibility and safety considerations. In summary, this is not a book for individuals completely inexperienced in either programming or generative AI. However, if you are currently experimenting with tools such as Claude, Cursor, GitHub Actions, or MCP, this is likely one of the more useful and practical books available on the subject. Recommended for software engineers seeking to transition from simply "prompting an AI" into establishing a repeatable/professional workflow process surrounding agentic coding.
WAS THIS REVIEW HELPFUL?YesReportShare
Reviewed in the United States on April 11, 2026
P
Paul Pollock
Draper, US
★★★★★ 4
⭐⭐⭐⭐ (so far)
Format: Paperback
I'm maybe a third of the way through this and already rethinking how I talk to coding agents. The reframe from "prompt engineering" to "context engineering" sounds like semantics until Marco walks you through why context poisoning, context clash, the Goldilocks zone for system prompts. That chapter alone reorganized something in my head. I keep going back to the line about garbage in, garbage out being the real reason agentic systems underperform. The hands-on stuff lands well too. Building the HookHub project from scratch, wiring up Playwright MCP, watching Claude generate a CLAUDE.md file and then not automatically loading a memory file you just created — that moment where you expect magic and get silence instead? That's the kind of honest teaching I appreciate. It made the "why" behind memory hierarchies click.
WAS THIS REVIEW HELPFUL?YesReportShare
Reviewed in the United States on May 12, 2026
J
Jonathan Reeves
Los Angeles, US
★★★★★ 5
Essential Reading for Developers Serious About Agentic AI Workflows with Claude Code
Format: Paperback
Agentic Coding with Claude Code is easily one of the most practical and forward-thinking AI development books I’ve read. Instead of treating Claude Code like a simple chatbot, this book shows how to turn it into a true agentic development platform capable of handling real-world engineering workflows. What I appreciated most was how actionable the content is. The explanations around slash commands, hooks, persistent memory files, and MCP servers are incredibly clear and immediately useful. The author does an excellent job balancing foundational concepts with hands-on implementation, making advanced topics like multi-agent orchestration and hierarchical delegation approachable for experienced developers. The chapters on MCP and context engineering were especially valuable. Most AI books stay at the surface level, but this one dives deep into structured context sharing, workflow automation, and scalable AI-assisted development practices that actually matter in production environments. I also liked that the book focuses heavily on maintainability and control. It doesn’t just show flashy demos—it teaches how to safely integrate AI agents into existing terminal and IDE workflows while enforcing coding standards and keeping projects organized. The examples using Claude Code with Next.js projects were practical and helped connect the concepts to real software engineering scenarios. The sections on subagents, planning workflows, and reusable automation patterns opened my eyes to entirely new ways of approaching AI pair programming and development productivity. If you are a developer, AI engineer, or technical lead looking to move beyond basic prompt engineering and build reliable, scalable AI-assisted workflows, this book is absolutely worth reading. Highly recommended for anyone serious about modern agentic coding and AI-powered software development.
WAS THIS REVIEW HELPFUL?YesReportShare
Reviewed in the United States on May 9, 2026

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