Lightweight Bike Chain Checker Tool 136mm Length Bicycle Chain Gauge Mountain Bike Repair

Label:Yes Durable Aluminum Alloy and Steel Construction: Made from aluminum alloy and steel, this chain checker tool features a sturdy structure for repeated bicycle maintenance use. The steel indicator pins are designed to resist deformation during normal measurement. Compact Bicycle Maintenance Tool: Measuring approximately 13.6 × 2.9 × 1cm / 5.3 × 1.1 × 0.4in, this black chain wear indicator is lightweight and easy to carry in a saddle bag, toolbox, backpack, or workshop drawer. The package includes 1 chain wear indicator tool. Accurate Chain Wear Measurement: This bicycle chain wear checker helps measure chain stretch and wear, allowing cyclists to monitor chain condition and determine when maintenance or replacement may be needed for road bikes, mountain bikes, and other bicycles. Clear Measurement Standards: The indicator is marked with measurement references of 0.25, 0.50, and ≥1.00, helping distinguish between lightly worn chains and chains that may require replacement. Please follow your bicycle manufacturer's maintenance recommendations when evaluating chain wear. Rotatable Positioning Design: The tool features card slots, positioning pins, engraved size markings, and a five-gear design to help provide convenient chain alignment and measurement. Its practical structure allows cyclists to check chain wear more efficiently.

Item Type:Chain Wear Indicator Tool Color: Black Material: Aluminum Alloy+Steel Measurement Standard: 0.25-0.50 for new bike chains ≥1.00 for chain replacement Structure: Card slot card pin rotatable indicator positioning card slot engraved size five-gear design non-deformable steel pins Size: Approx. 13.6 x 2.9 x 1 cm / 5.3 x 1.1 x 0.4 in

Packing List: 1 x Chain Wear Indicator Tool

Notes: 1.The real color of the item may be slightly different from the pictures shown on website caused by many factors such as brightness of your monitor and light brightness. 2. Please allow slight manual measurement deviation for the data.