Price: $8.65
(as of Feb 23, 2025 12:59:27 UTC – Details)
Following on from the successful ‘Shadow Jumper’ . . .
TWILIGHT ROBBERY – Book 2 in the Shadow Jumper Mystery Adventure series
FINALIST IN THE WISHING SHELF BOOK AWARDS 2021
Will Jack solve the crime, or die trying?
The rooftops are Jack’s safe place – perfect for shadow jumping. Or so he thought. When Jack and Beth find a packet hidden between the chimney pots, Jack becomes the prime suspect for theft. Then his friend Fabien falls from the roof. Was it an accident? Or something more sinister? Thrust into a shady world of robbery and mayhem, Jack must find the real thieves to save himself and his friends.
Another exciting mystery adventure, packed with twists, turns and red herrings, from the award-winning author of Shadow Jumper.
PRAISE FOR TWILIGHT ROBBERY
‘… I’d say it was every bit as good and even better than its predecessor. I only hope we don’t have to wait too long for a third instalment. There is going to a third instalment, please tell me there will be a third instalment.’ Felicity Grace Terry Petty witter blogspot
‘Fans of Shadow Jumper can expect another exciting mystery adventure . . .’
‘. . . keep(s) any reluctant readers engaged.’
‘Forster doesn’t shy away form heavier topics, including a tense visit to the hospital, but with language and depth that’s age appropriate . . .’
Primary Times magazine – Wiltshire and Gloucestershire
J M Forster is the awarding-winning writer of mystery books for 9 – 14 year olds, action and adventure stories, teen & young adult mysteries and thrillers, fantasy, teenage adventure books for girls, teen books for boys, books for boys 9-12, children’s books age 9 – 11.
Publisher : Scribblepad Press (August 23, 2021)
Language : English
Paperback : 250 pages
ISBN-10 : 0993070965
ISBN-13 : 978-0993070969
Reading age : 9 – 12 years
Item Weight : 10.2 ounces
Dimensions : 5.25 x 0.63 x 8 inches
Customers say
Customers find the book well-written and suitable for teens and children. They describe it as adventurous, exciting, and engaging.
AI-generated from the text of customer reviews
